2024-03-29T12:45:49Z
https://journal.umgo.ac.id/index.php/GEOUMGo/oai
oai:ojs.journal.umgo.ac.id:article/2016
2023-02-17T12:52:13Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/899
2021-06-10T21:05:50Z
akademika:ART
oai:ojs.journal.umgo.ac.id:article/548
2020-08-05T03:39:36Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/272
2019-05-14T14:58:44Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1090
2022-08-26T18:18:55Z
Mohuyula:ART
oai:ojs.journal.umgo.ac.id:article/2415
2023-07-29T09:20:39Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/255
2019-06-24T13:39:22Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1290
2021-12-26T23:30:06Z
JPPE:ART
oai:ojs.journal.umgo.ac.id:article/1639
2022-12-08T13:05:53Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/843
2021-05-02T00:19:49Z
JPPE:ART
oai:ojs.journal.umgo.ac.id:article/1669
2022-11-16T08:54:58Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/2440
2023-08-03T17:58:12Z
jhe:ART
oai:ojs.journal.umgo.ac.id:article/256
2019-06-24T13:39:22Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1439
2022-04-21T13:22:29Z
juik:ART
oai:ojs.journal.umgo.ac.id:article/2019
2023-02-17T14:40:23Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/898
2021-06-10T21:06:02Z
akademika:ART
oai:ojs.journal.umgo.ac.id:article/1636
2022-12-08T13:05:53Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/772
2021-01-15T14:32:44Z
juik:ART
oai:ojs.journal.umgo.ac.id:article/273
2019-05-14T14:58:44Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1672
2022-10-09T07:36:02Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/2425
2023-07-31T04:39:19Z
jhe:ART
oai:ojs.journal.umgo.ac.id:article/254
2019-06-24T13:39:22Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1325
2021-12-29T09:11:37Z
Madu:ART
oai:ojs.journal.umgo.ac.id:article/1643
2022-12-08T13:05:53Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/902
2021-06-10T21:04:57Z
akademika:ART
oai:ojs.journal.umgo.ac.id:article/743
2023-01-30T17:06:03Z
Madu:ART
oai:ojs.journal.umgo.ac.id:article/527
2020-05-11T16:34:46Z
Latihan:ART
oai:ojs.journal.umgo.ac.id:article/2513
2023-09-09T02:09:34Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/5
2019-04-16T13:38:35Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1412
2022-05-25T11:06:40Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/2022
2023-02-18T12:45:15Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/919
2021-06-14T21:25:41Z
JPPE:ART
oai:ojs.journal.umgo.ac.id:article/1637
2022-12-08T13:05:53Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/225
2021-04-22T23:00:17Z
JPPE:ART
oai:ojs.journal.umgo.ac.id:article/274
2019-05-14T14:58:44Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1373
2022-10-24T10:34:20Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/2503
2023-09-09T02:09:34Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/268
2019-05-09T10:30:49Z
Publik:FRM
oai:ojs.journal.umgo.ac.id:article/1379
2022-01-21T07:57:56Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/1710
2022-12-08T13:05:53Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/901
2021-06-10T21:05:20Z
akademika:ART
oai:ojs.journal.umgo.ac.id:article/2803
2024-01-14T00:59:11Z
jppkm:ART
oai:ojs.journal.umgo.ac.id:article/6
2019-12-19T08:08:42Z
Madu:ART
oai:ojs.journal.umgo.ac.id:article/2920
2024-02-26T03:30:48Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/96
2019-01-25T09:24:35Z
akademika:ART
oai:ojs.journal.umgo.ac.id:article/1440
2022-06-12T22:55:21Z
juik:ART
oai:ojs.journal.umgo.ac.id:article/2343
2023-07-04T08:21:50Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/660
2021-10-15T14:41:47Z
British:ART
oai:ojs.journal.umgo.ac.id:article/1635
2022-12-08T13:05:51Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/188
2021-04-25T14:20:54Z
JPPE:ART
oai:ojs.journal.umgo.ac.id:article/1376
2022-10-24T10:34:21Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/275
2019-05-14T14:58:44Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/2502
2023-09-08T23:27:34Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/258
2019-06-24T13:39:22Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1371
2022-01-21T07:57:56Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/2017
2023-02-17T12:52:13Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/900
2021-06-10T21:05:37Z
akademika:ART
oai:ojs.journal.umgo.ac.id:article/1946
2023-01-13T05:40:21Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/469
2020-02-17T06:42:31Z
Madu:ART
oai:ojs.journal.umgo.ac.id:article/1413
2022-06-23T15:21:12Z
juik:ART
oai:ojs.journal.umgo.ac.id:article/2027
2023-07-05T07:57:20Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/1068
2021-11-06T17:28:41Z
Madu:ART
oai:ojs.journal.umgo.ac.id:article/1638
2022-12-08T13:05:53Z
Atlarev:ART
oai:ojs.journal.umgo.ac.id:article/847
2021-04-26T03:19:33Z
JPPE:ART
oai:ojs.journal.umgo.ac.id:article/1667
2022-11-16T08:54:57Z
Zaitun:ART
oai:ojs.journal.umgo.ac.id:article/276
2019-05-14T14:58:44Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/2460
2023-08-27T07:25:44Z
jhe:ART
oai:ojs.journal.umgo.ac.id:article/257
2019-06-24T13:39:22Z
AJamiy:ART
oai:ojs.journal.umgo.ac.id:article/1039
2022-03-27T01:22:38Z
Tulip:ART
oai:ojs.journal.umgo.ac.id:article/253
2020-04-14T03:23:20Z
GEOUMGo:ART
INTEGRASI AHP DAN SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS POTENSI KERAWANAN ILLEGAL FISHING DI INDONESIA (Integration AHP and Geographic Information System to Analyse Vulnerability of Illegal Fishing in Indonesia)
Dede, Moh.
Widiawaty, Millary Agung
Setiawan, Iwan
Huda, Nurul
geography; geography of crime; spatial analysis
Indonesia merupakan negara kepulauan yang memiliki sumber daya perikanan melimpah dan kerap dijadikan sasaran illegal fishing jaringan lokal maupun internasional. Melalui integrasi AHP dan sistem informasi geografis, penelitian ini bertujuan untuk menganalisis potensi kerawanan illegal fishing secara spasial di Indonesia dengan melibatkan berbagai faktor penentunya seperti jangkauan patroli laut, kedaulatan laut, jarak dari negara asing, sebaran klorofil-A, dan potensi hasil laut yang divalidasi dengan data eksisting serta dilengkapi strategi penanganannya. Pemodelan illegal fishing memiliki akurasi sebesar 87,14 persen dengan potensi ancaman seluas 2.644.000 km2 (41,65 persen) meliputi Laut Natuna Utara, Selat Malaka, Selat Karimata, Laut Jawa, Selat Makassar, Laut Bali, Laut Maluku, Laut Halmahera, Teluk Tomini, Laut Sulawesi, serta sebagian kecil Laut Arafuru. Hasil AHP menunjukkan faktor yang bersifat tetap seperti potensi laut dan sebaran klorofil-A sebagai criminogenic terkuat illegal fishing di Indonesia. Upaya pencegahan illegal fishing dapat dilakukan dengan intervensi terhadap faktor yang bersifat dinamis, sehingga memperkuat jangkauan patroli laut, teknologi VMS, partipasi masyarakat, dan diplomasi maritim.
Universitas Muhammadiyah Gorontalo
2019-11-23
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
mixed methods
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/253
10.31314/jsig.v2i2.253
JURNAL SAINS INFORMASI GEOGRAFI; Vol 2, No 2 (2019): Edisi November; 8-17
J SIG (Jurnal Sains Informasi Geografi); Vol 2, No 2 (2019): Edisi November; 8-17
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/253/229
Copyright (c) 2019 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/1706
2022-12-24T10:25:53Z
GEOUMGo:ART
PEMETAAN JALUR EVAKUASI TSUNAMI DI KOTA BENGKULU BERBASIS ARCGIS HUB
Santoso, Yehezkiel
Chernovita, Hanna Prillysca
network analyst, tsunami, webgis, mitigation, arcgis hub
Bengkulu city is an area facing the Indo-Australian tectonic plate, resulting in frequent earthquakes above 5 on the Richter scale and triggering the potential for a tsunami. This research was conducted in 9 sub-districts of Bengkulu City and aimed to design a geographic information system for pre-disaster mitigation that provides a visual form of tsunami exposure and allows users to carry out analysis independently route point locations to evacuation sites. The method used is overlaying and scoring the map of distance from the coastline, distance from the river, elevation and slope, so as to obtain an exposure map that can be used as a reference in conducting network analyst closet facility. The data that has been analyzed is then uploaded to ArcGIS Online to be customized and configured as WebGIS. The results showed that there were 7 sub-districts that had high levels of exposure and had routed 58 incident points to 17 temporary evacuation sites.
Universitas Muhammadiyah Gorontalo
2022-11-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1706
10.31314/jsig.v5i2.1706
JURNAL SAINS INFORMASI GEOGRAFI; Vol 5, No 2 (2022): Edisi November; 67-81
J SIG (Jurnal Sains Informasi Geografi); Vol 5, No 2 (2022): Edisi November; 67-81
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1706/1133
Copyright (c) 2022 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/1050
2022-11-24T12:20:25Z
GEOUMGo:ART
oai:ojs.journal.umgo.ac.id:article/177
2019-12-03T04:49:58Z
GEOUMGo:ART
DETEKSI PERKEMBANGAN LAHAN TERBANGUN KOTA GORONTALO BERDASARKAN CITRA LAST (LANDSAT, ASTER, & SENTINEL-2A) (Detection of the built-up area development in Gorontalo City Based on LAST (Landsat, ASTER, & Sentinel-2A) Imagery)
Koto, Arthur Gani
Taslim, Ivan
Geografi; Remote Sensing
Abstract – Built-up area is easily found in urban areas which is the most land use compared to other land use. The development of the built-up area has also increased with increasing population and increasing economic activity. Most of the population activities in the form of economy, services, trade, offices, education, health, and entertainment facilities that are centralized in urban areas have caused the availability of non-built-up area to shrink further. Detection of the built-up area can be assessed from remote sensing data using urban indices, multispectral classification (supervised and unsupervised classification), and spectral bands. This study aims to detect the built-up area based on multisensor and multitemporal imagery. Landsat 5 TM, Landsat 8, ASTER, and Sentinel-2B (LAST) images were used in this study. Digital image processing is performed on each image using the guided classification method support vector machine (SVM) algorithm. Four classes of land cover were taken, namely built-up area, vegetation, bare land, and water bodies. Samples of built-up area classes were taken as many as 31 random sampling points spread over the study area. Validation tests were carried out for each image based on the ground check. Results of the study showed that the development of the built-up area was directed to the north and the difference in the extent of information on the built-up area due to differences in spatial resolution.
Keywords: built-up area, landsat, aster, sentinel, supervised classification, gorontalo
Abstrak –Lahan terbangun mudah ditemukan di wilayah perkotaan yang merupakan penggunaan lahan paling banyak dibandingkan penggunaan lahan lainnya. Perkembangan lahan terbangun turut meningkat seiring pertambahan jumlah penduduk dan peningkatan aktivitas ekonomi. Sebagian besar aktivitas penduduk berupa ekonomi, jasa, perdagangan, perkantoran, pendidikan, kesehatan, dan sarana hiburan yang terpusat di wilayah perkotaan menyebabkan ketersediaan lahan non-terbangun kian menyusut pula. Deteksi lahan terbangun dapat dikaji dari data penginderaan jauh menggunakan indeks perkotaan (urban index), klasifikasi multispektral (supervised and unsupervised classification), dan saluran spektral (spectral bands). Penelitian ini bertujuan mendeteksi lahan terbangun berdasarkan citra multis-sensor dan multi-temporal. Citra landsat 5 TM, landsat 8, ASTER, dan sentinel-2B (LAST) digunakan dalam penelitian ini. Pengolahan citra digital dilakukan pada masing-masing citra yang menggunakan metode klasifikasi terbimbing algoritma support vector machine (SVM). Sebanyak empat kelas tutupan lahan diambil, yaitu lahan terbangun, vegetasi, lahan terbuka dan tubuh air. Sampel kelas lahan terbangun diambil sebanyak 31 titik secara random sampling yang tersebar di wilayah penelitian. Uji validasi dilakukan untuk masing-masing citra berdasarkan ground check. Hasil penelitian menunjukkan bahwa perkembangan lahan terbangun mengarah ke utara, dan perbedaan luasan informasi lahan terbangun yang disebabkan perbedaan resolusi spasial.
Kata kunci: lahan terbangun, landsat, aster, sentinel, klasifikasi terbimbing, gorontalo
Universitas Muhammadiyah Gorontalo
2018-11-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Analisis Geospasial
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/177
10.31314/jsig.v1i2.177
JURNAL SAINS INFORMASI GEOGRAFI; Vol 1, No 2 (2018): Edisi November; 28-39
J SIG (Jurnal Sains Informasi Geografi); Vol 1, No 2 (2018): Edisi November; 28-39
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/177/109
Copyright (c) 2018 JURNAL SAINS INFORMASI GEOGRAFIS
oai:ojs.journal.umgo.ac.id:article/1036
2022-12-06T05:40:02Z
GEOUMGo:ART
MONITORING PERUBAHAN GARIS PANTAI UNTUK EVALUASI RENCANA TATA RUANG DAN PENANGGULANGAN BENCANA DI KABUPATEN TANGERANG (Monitoring Coastline Change for Spatial Plan Evaluation and Disaster Management in Tangerang Regency)
Setiawan, Heri
Supriatna, Supriatna
Remote Sensing and GIS
Perubahan garis pantai, Google Earth , DSAS, evaluasi RTRW, penanggulangan bencana
Garis pantai Kabupaten Tangerang merupakan garis pantai yang sangat dinamis. Tujuan dari penelitian ini adalah mengidentifikasi laju perubahan garis pantai tiap desa di Pesisir Kabupaten Tangerang periode 2011 - 2021, mengidentifikasi penyebab, dampak dan memberikan rekomendasi untuk evaluasi Rencana Tata Ruang Wilayah (RTRW) dan penanggulangan bencana. Metode kuantitatif teknik Digital Shoreline Analysis System (DSAS) digunakan untuk identifikasi abrasi dan akresi. Sedangkan analisis penyebab, dampak dan rekomendasi menggunakan metode deskriptif kualitatif. Hasil penelitian menunjukkan semua desa di Pesisir Kabupaten Tangerang mengalami abrasi ataupun akresi selama satu dekade terakhir. Desa dengan laju dan luas akresi tertinggi berada di Desa Kohod sebesar 31,41 m/tahun dan 55,51 ha. Desa yang mempunyai laju abrasi tertinggi di Desa Tanjung burung sebesar -23,12 m/tahun dan luas abrasi tertinggi di Desa Desa Ketapang seluas 27,65 ha. Terdapat juga reklamasi di Kecamatan Kosambi seluas 78,18 ha. Adanya sedimentasi muara Sungai Cisadane sebagai penyebab akresi. Abrasi disebabkan karena kerusakan ekosistem mangrove, ketidaksesuaian kondisi eksisting dengan pola ruang hutan lindung RTRW di kawasan pesisir dan penyalahgunaan pemanfaatan sempadan pantai. Dampak kerusakan meliputi hilangnya pemukiman dan tambak, berkurangnya luas rencana hutan lindung (mangrove), mundurnya garis pantai akan memicu konflik lahan terkait pemanfaatan sempadan pantai. Beberapa rekomendasi yang diusulkan antara lain evaluasi RTRW pola ruang hutan lindung dan sempadan pantai, penanaman mangrove tepat di belakang wave breaker, pengelolaan ekowisata mangrove dan silvofishery.
Universitas Muhammadiyah Gorontalo
Pusat Pendidikan dan Pelatihan Kementerian Riset dan Teknologi/Badan Riset dan Inovasi Nasional
2021-11-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Metode Kuantitatif dengan Teknik Digital Shoreline Analysis System (DSAS) dan Metode Deskriptif Kualitatif
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1036
10.31314/jsig.v4i2.1036
JURNAL SAINS INFORMASI GEOGRAFI; Vol 4, No 2 (2021): Edisi November; 68-75
J SIG (Jurnal Sains Informasi Geografi); Vol 4, No 2 (2021): Edisi November; 68-75
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1036/631
https://journal.umgo.ac.id/index.php/GEOUMGo/article/downloadSuppFile/1036/153
Copyright (c) 2021 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/91
2019-03-26T21:06:34Z
GEOUMGo:ART
APLIKASI SISTEM INFORMASI GEOGRAFIS UNTUK PENGEMBANGAN KAWASAN STRATEGIS PARIWISATA PANTAI BILATO DI KABUPATEN GORONTALO (Geographic Information System Application for Strategic Tourism Development Areas of Bilato Beach in Gorontalo District)
Ibrahim, Elpin
Taslim, Ivan
Rijal, Ahmad Syamsu
Geografi; Geowisata
Abstract - This study aims to create a concept or strategy for the development of Strategic Tourism Area of Bilato Beach located in Gorontalo Regency Gorontalo Province. The planning strategy for the development of Bilato Beach Strategic Area in this research is based on the questionnaire and interview method with the field survey. The results of the interview will be processed using SWOT analysis which further utilizes Geographic Information System (GIS) application with ArcGIS 10.1 device for mapping of tourism development of Bilato Beach. In the result of observation at research location and interview (questionnaire) processed with SWOT approach obtained information about research location, such as white sand along the coastal landscape with the calm sea (Strengths). It's just that as a tourist attraction Bilato Beach has lack of adequate facilities, lack of government attention to the manager both in terms of financial aid and tourism publication (Weaknesses). In terms of Opportunities, Bilato Beach can be a source of income and business community, it is also supported by the terms of affordability/accessibility is quite easy. However, Bilato Beach as a tourist spot also has threats such as community activities and visitors that can be damage the natural habitat at the research location and also the many tourist attractions that make the competition in attracting the tourists. The conclusion of this SWOT analysis result is that Bilato Beach which has been designated as Tourism Strategic Area in Gorontalo Regency according to Province Regulation of Gorontalo Regency No. 4, 2011 still has many shortcomings in terms of tourism facilities and government attention in terms of publication.
Keywords: tourism, strategic development, gis, swot analysis, bilato beach, gorontalo
Abstrak – Penelitian ini bertujuan untuk membuat konsep atau strategi pengembangan Kawasan Strategis Pariwisata Pantai Bilato yang berada di Kabupaten Gorontalo. Strategi yang digunakan pada penelitian ini berdasarkan metode wawancara dan survai lapangan. Hasil dari wawancara akan diolah menggunakan analisis SWOT yang selanjutnya memanfaatkan aplikasi Sistem Informasi Geografis (SIG) dengan perangkat ArcGIS 10.1 untuk pemetaan pengembangan wisata Pantai Bilato. Pada hasil observasi di lokasi penelitian dan wawancara (kuisioner) yang diolah dengan pendekatan SWOT diperoleh informasi tentang lokasi penelitian, diantaranya adalah pasir putih sepanjang bentang alam pantai dengan laut yang tenang (Kekuatan). Hanya saja sebagai tempat wisata Pantai Bilato memiliki kekurangan dari segi fasilitas yang memadai, tidak adanya perhatian pemerintah terhadap pengelola baik dari segi bantuan dana maupun publikasi wisata (Kelemahan). Dari segi Peluang, Pantai Bilato bisa menjadi sumber pendapatan dan usaha masyarakat, hal ini juga didukung oleh segi keterjangkauan yang cukup mudah. Meski demikian Pantai Bilato sebagai tempat wisata juga mempunyai Ancaman seperti aktifitas masyarakat dan pengunjung yang dapat merusak habitat alami di lokasi penelitian dan juga banyaknya tempat wisata yang menjadikan persaingan dalam menarik minat para wisatawan. Kesimpulan dari hasil analisis SWOT ini adalah bahwa Pantai Bilato yang sudah ditetapkan sebagai Kawasan Strategis Pariwisata di Kabupaten Gorontalo menurut PERDA Provinsi Gorontalo No. 4 Tahun 2011 masih memiliki banyak kekurangan dari segi fasilitas wisata dan perhatian pemerintah dalam hal publikasi.
Kata kunci: pariwisata, strategi pengembangan, sig, analisis swot, pantai bilato, gorontalo
Universitas Muhammadiyah Gorontalo
2018-05-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
survei lapangan, wawancara, kuisioner, analisis SWOT, Sistem Informasi Geografis
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/91
10.31314/jsig.v1i1.91
JURNAL SAINS INFORMASI GEOGRAFI; Vol 1, No 1 (2018): Edisi Mei; 1 - 7
J SIG (Jurnal Sains Informasi Geografi); Vol 1, No 1 (2018): Edisi Mei; 1 - 7
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/91/pdf
Copyright (c) 2018 JURNAL SAINS INFORMASI GEOGRAFIS
oai:ojs.journal.umgo.ac.id:article/664
2020-12-23T14:09:35Z
GEOUMGo:ART
STUDY AVAILABILITY OF WIND SPEED IN THE SOUTH COASTAL AREA OF GORONTALO REGENCY, INDONESIA
Koto, Arthur Gani
Terapan Ilmu Geografi
renewable energy, win speed, gorontalo regency
renewable energy
The location of Indonesia at the equator is a Hadley, Walker, and local circulation encounter area so that the condition is estimated to be rich in wind potential. The power capable of installing the 2016 PLN power plant from the Bayu Power Plant (PLTB) only meets 0.20 MW in Gorontalo. This study aims to study the availability of wind speed in the southern coastal region of Gorontalo Regency. Wind speed measurement using hand anemometer is carried out in two sessions for each village, namely session I between 10.00 - 12.00 WITA and session II between 16.00 - 18.00 WITA. There are five villages located on the southern coast of Gorontalo Regency as data collection locations, namely Bongo, Kayubulan, Bulihu Tengah, Luluo and Taulaa Villages. The selection of the village is based on its location in the District Capital, directly adjacent to Tomini Bay, easy access to location, and population. Data retrieval in the form of wind speed, location coordinates, air temperature, air pressure, and altitude. The results showed that the highest average wind speed occurred at the measurement of Session I in Taulaa Village at 4.2 m/s.
Universitas Muhammadiyah Gorontalo
USAID through the SHERA program – Center for Development of Sustainable Region (CDSR)
2020-11-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
GIS, field measurement (win speed, location coordinates, air temperature, air pressure, and altitude)
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/664
10.31314/jsig.v3i2.664
JURNAL SAINS INFORMASI GEOGRAFI; Vol 3, No 2 (2020): Edisi November; 94-99
J SIG (Jurnal Sains Informasi Geografi); Vol 3, No 2 (2020): Edisi November; 94-99
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/664/402
Copyright (c) 2020 J SIG (Jurnal Sains Informasi Geografi)
oai:ojs.journal.umgo.ac.id:article/2457
2024-02-22T13:15:29Z
GEOUMGo:ART
ANALISIS POTENSI KETERSEDIAAN AIR TANAH SECARA SPASIAL UNTUK PEMENUHAN KEBUTUHAN AIR BAKU DI DAS RONTU
Lugina, Izma Maulana Ahmad
Fahmi, Syahrial
Karim, Rizal Aldian
Ismail, Arif
Groundwater Potential Index; Groundwater; Clean Water; Multi Criteria Evaluation
Clean water supply is one of the strategic issues in Bima City which is of concern and is stated in the Bima City RPJMD. The main problem with providing clean water in Bima City is the crisis that occurs when the dry season arrives. Apart from that, if we follow the projected population growth of Bima City, the amount of raw water that is available and can be used as a source of clean water will not be able to meet the needs of the population in the future, so another alternative source is needed, namely by utilizing groundwater. This research aims to spatially see the groundwater potential in the Rontu watershed located in Bima City and measure projected water use needs in the Bima City area. The method used is spatial analysis with quantitative methods Multi Criteria Evaluation (MCE), Groundwater Potential Index (GWPI), and the Thornthwaite method for determining areas that have the potential to have groundwater. The research uses the help of a geographic information system (GIS) and remote sensing data to produce a groundwater potential zone map. Based on the results of the groundwater potential zoning map created, it can be seen that the Rontu watershed area as a whole and Bima City tend to have very high potential for groundwater storage and supply. This research also provides an overview of water use in both the domestic and non-domestic sectors in the Rontu Watershed area which includes Bima City and calculates the remaining water reserves from the results of water use and water supply obtained in the Rontu Watershed area, so that it can provide recommendations. for future water supply.
Universitas Muhammadiyah Gorontalo
2023-10-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/2457
10.31314/jsig.v6i2.2457
JURNAL SAINS INFORMASI GEOGRAFI; Vol 6, No 2 (2023): November; 64-76
J SIG (Jurnal Sains Informasi Geografi); Vol 6, No 2 (2023): November; 64-76
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/2457/pdf
Copyright (c) 2023 Jurnal Sains Informasi Geografi (J SIG)
oai:ojs.journal.umgo.ac.id:article/347
2020-12-23T14:15:52Z
GEOUMGo:ART
PENGEMBANGAN POTENSI WISATA ALAM SECARA SPASIAL DESA BONGO KECAMATAN BATUDAA PANTAI KABUPATEN GORONTALO (Spatial Natural Tourism Potential Development of Bongo District of Batudaa Pantai Gorontalo Regency)
Rahayu, Titin Umi
Rijal, Ahmad Syamsu
Taslim, Ivan
(Development; Natural; Tourism; Spatial)
The purpose of this study is to analyze the development of spatial natural tourism potential and identification of Bongo torism potential using SWOT analysis. By usung a qualitative descriptive method and data source in the from of primary and secondary data. Primary data covering field observation, interview and secondary data covering the map of RBI 1: 25.000, satellite image of Google Maps and data of visitor number which then described by SWOT matrix. The result of this study indicate the Bongo village has good natural tourism potential to be developed, in terms of attractiveness with the hills are very beautiful types of taours that can be developed that is a natural panorama taour and outbound tourism other than that Bongo village has a Dulanga beach with coral reef and other merine biota with a decent tour to be developed that is snorkeling tour. As for supporting facilities and infrastructure of natural attractions Bongo village needs to be added in order to meet the needs of tourist who visit because wih adequate faciliteis and infrastructure can increase the number of tourists both local and foreign.
Universitas Muhammadiyah Gorontalo
2020-05-15
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
qualitative descriptive
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/347
10.31314/jsig.v3i1.347
JURNAL SAINS INFORMASI GEOGRAFI; Vol 3, No 1 (2020): Edisi Mei; 1-9
J SIG (Jurnal Sains Informasi Geografi); Vol 3, No 1 (2020): Edisi Mei; 1-9
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/347/308
Copyright (c) 2020 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/1301
2022-12-17T23:11:47Z
GEOUMGo:ART
IDENTIFIKASI KERAPATAN TUTUPAN MANGROVE PULAU GUSUNG MENGGUNAKAN CITRA LANDSAT 8
Salma, Ghina Yusriyyah
Muhammad, Adhil Nur
Adiwiria, Raihan Cahara Winaya
Ridwana, Riki
Somantri, Lili
gusung island, selayar, mangrove, landsat 8, NDVI
Mangrove forest is one of the ecosystems that live in coastal areas and has a muddy substrate. Mangroves have an important role in maintaining water productivity and supporting the life of Indonesia's coastal areas. However, the increasing desire to convert or exploit mangrove forests can trigger a periodic decline in the number of mangrove forests, which will result in changes in the environment of coastal ecosystems, and have an impact on physical, biological and economic decline. This research objective is to analyze changes in mangrove forests using remote sensing data. The study used data for 2015 and 2019, which are located in the coastal mangrove forest of Gusung Island Bontoharu Subdistrict, Selayar Islands Regency, South Sulawesi Province. Normalized Difference Vegetation Index (NDVI) formula is used to calculate and classify in obtaining land cover. The results showed that the mangrove forest in the coastal area of Gusung Island experienced an increase in vegetation density. This can be an example for other areas so that mangrove forests need to be preserved and protected from damage.
Universitas Muhammadiyah Gorontalo
2022-05-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Remote sensing, NDVI Method
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1301
10.31314/jsig.v5i1.1301
JURNAL SAINS INFORMASI GEOGRAFI; Vol 5, No 1 (2022): Edisi Mei; 38-48
J SIG (Jurnal Sains Informasi Geografi); Vol 5, No 1 (2022): Edisi Mei; 38-48
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1301/1130
Copyright (c) 2022 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/227
2019-12-03T04:49:59Z
GEOUMGo:ART
PEMETAAN CADANGAN KARBON MENGGUNAKAN CITRA RESOLUSI TINGGI UNTUK PENGELOLAAN TAHURA WAN ABDUL RACHMAN LAMPUNG (Carbon Stock Mapping Using High Resolution Image For Management Of Tahura Wan Abdul Rachman Lampung)
Simarmata, Nirmawana
Lisafitri, Yuni
Hakim, Dudung Muhally
Teknik Geomatika
Konversi lahan merupakan ancaman yang serius untuk kawasan TAHURA Wan Abdul Rachman dan berdasarkan peta citra landsat tahun 2010, kerusakan TAHURA mencapai 72%. Berdasarkan hasil perhitungan biofisik yang memungkinkanuntuk melakukan penilaian jasa pelayanan ekosistem terhadap hutan di kawasan TAHURA yang akan digunakan dalam pembangunan kawasan tersebut. Jasa pelayanan ekosistem hutan dapat dihitung melalui besaran biomassa dan serapan karbon yang hilang pada hutan tersebut. Estimasi kandungan biomassa dan karbon dapat dilakukan dengan memanfaatkan teknologi penginderaan jauh, melalui analisis regresi dari nilai NDVI Citra SPOT 6/7 yang dapat dikorelasikan dengan biomassa aktual. Distribusi biomassa di atas permukaan terdiri atas dua model yaitu peta model 1 dan model 2 yang diklasifikasikan menjadi 5 kelas kerapatan biomassa yakni kelas biomassa 1 model 1 berkisar antara -2,03 – 763,72 ton/ha, kelas 2 antara 763.72 – 1.658,09 ton/ha, kelas 3 antara 1.658,09 – 2.431,60 ton/ha, kelas 4 antara 2.431,60 – 2.963,38 ton/ha dan kelas 5 antara 2.963,38 – 3857,75. Kerapatan biomassa model 2, kelas 1 antara -1,242 - -7,71 ton/ha, kelas 2 antara -7,71 – 352,02 ton/ha, kelas 3 antara 353,02 – 663,14 ton/ha, kelas 4 antara 663,14 – 877,04 ton/ha, dan kelas 5 antara 877,04 – 1.236,77 ton/ha. Berdasarkan hasil estimasi Stok karbon model 1 memiliki nilai maksimum yaitu 616,36. Sementara stok karbon model 2 terdapat sekitar 964,435 ton/ha.
Universitas Muhammadiyah Gorontalo
LP3 Institut Teknologi Sumatera
2019-04-14
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Pengolahan Citra Satelit dan Survey Lapangan
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/227
10.31314/jsig.v2i1.227
JURNAL SAINS INFORMASI GEOGRAFI; Vol 2, No 1 (2019): Edisi Mei; 18-29
J SIG (Jurnal Sains Informasi Geografi); Vol 2, No 1 (2019): Edisi Mei; 18-29
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/227/121
Copyright (c) 2019 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/1432
2022-12-17T23:11:47Z
GEOUMGo:ART
ANALISIS SPASIAL KESESUAIAN DAN EVALUASI LAHAN PERMUKIMAN DI KOTA AMBON
Rakuasa, Heinrich
Somae, Glendy
Program Studi Pendidikan Geografi
spatial analysis, utilization, ambon city, multi-criteria spatial analysis
kesesuaian lahan
The increasing number of residents in Ambon City from year to year which is increasing has an impact on land conversion for the development of residential areas and environmental damage in the future. In connection with this, in the development of residential areas in Ambon City, it is necessary to carry out a spatial analysis of land suitability for settlements to assess the categories of area functions and land suitability for settlements based on physical conditions and the existing RTRW. This study aims to analyze the suitability and evaluation of residential land in Ambon City based on the RTRW of Ambon City in 2011-2031. This research uses Spatial Multi-Criteria Analysis (SMCA) method. The results of the study were then used to evaluate the RTRW of Ambon City 2011-2031. The results of the SMCA analysis show that an area of 13,282, 46 ha is suitable and 2,019, 88 ha is sufficient after the development of residential areas. Based on the results of the RTRW evaluation, there are many deviations in the development of settlements in protected forest areas and there are still many settlements located <100 m from the river border. The results of this study are expected to be a reference and input for the evaluation of the Ambon City RTRW in the future.
Universitas Muhammadiyah Gorontalo
Departemen Geografi, FMIPA, Universitas Indonesia, Indonesia
2022-11-20
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Spatial Multi Criteria Analysis (SMCA)
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1432
10.31314/jsig.v5i1.1432
JURNAL SAINS INFORMASI GEOGRAFI; Vol 5, No 1 (2022): Edisi Mei; 1-9
J SIG (Jurnal Sains Informasi Geografi); Vol 5, No 1 (2022): Edisi Mei; 1-9
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1432/1082
Copyright (c) 2022 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/144
2019-03-26T21:06:34Z
GEOUMGo:ART
IDENTIFIKASI PERMUKIMAN KUMUH DI KELURAHAN TALUMOLO KECAMATAN DUMBO RAYA KOTA GORONTALO (Identification of Slum Settlement in Kelurahan Talumolo Kecamatan Dumbo Raya Kota Gorontalo)
Syukri, Muhammad Rijal
Arifin, Sri Sutarni
Arsitektur
Abstract - The high number of urban residents due to a large number of migrants caused the reduction of land for settlements. This triggered the emergence of slums in various areas of the city. Dumbo Raya sub-district is a coastal area that is geographically flanked by the sea and hills. This condition causes the region to be very vulnerable to the disaster so that the growth of irregular or well-structured settlements will increase the chances of a disaster occurring. This study aims to determine the slums in Talumolo Subdistrict, Dumbo Raya District based on several indicators that have been determined and obtain data in the form of the area of slum identified. This study also aims to determine the level of a slum in the selected area. The method used in this research is through the application of Geographic Information System (GIS) and data analysis of questionnaires through mathematical calculations. Through this study obtained results in the form of: 1) Determination of locations included in the slum area based on 6 (six) variables namely non-economic vitality, economic vitality, land status, condition of infrastructure facilities, commitment of local governments and priority handling; 2) The results of identification and delineation of slum areas in Talumolo Village indicate that there is a slum area of 32,235 hectares with MEDIUM classification.
Keywords: region, settlement, slum, Gorontalo, urban
Abstrak – Tingginya jumlah penduduk kota akibat banyaknya pendatang menyebabkan berkurangnya lahan untuk permukiman. Hal ini memicu munculnya permukiman kumuh pada berbagai wilayah kota. Kecamatan Dumbo Raya merupakan wilayah pesisir yang secara geografis wilayahnya diapit oleh laut dan perbukitan. Kondisi ini mengakibatkan wilayah ini sangat rawan dengan bencana sehingga pertumbuhan permukiman yang tidak teratur atau tertata dengan baik akan memperbesar peluang terjadinya bencana. Penelitian ini bertujuan untuk menentukan kawasan kumuh yang ada di Kelurahan Talumolo Kecamatan Dumbo Raya berdasarkan beberapa indikator yang telah ditetapkan dan memperoleh data berupa luas kawasan kumuh yang diidentifikasi. Penelitian ini juga bertujuan untuk menentukan tingkat kekumuhannya kawasan yang terpilih. Metode yang digunakan pada penelitian ini adalah melalui aplikasi Sistem Informasi Geografis (SIG) dan analisis data hasil kuisioner melalui hitungan matematis. Melalui penelitian ini diperoleh hasil berupa : 1) Penentuan lokasi yang termasuk ke dalam kawasan kumuh disusun berdasarkan 6 (enam) variabel yaitu vitalitas non ekonomi, vitalitas ekonomi, status tanah, kondisi prasarana sarana, komitmen pemerintah daerah dan prioritas penanganan; 2) Hasil identifikasi dan deliniasi kawasan permukiman kumuh di Kelurahan Talumolo menunjukkan bahwa terdapat kawasan kumuh seluas 32,235 hektar dengan tingkat kekumuhan SEDANG.
Kata kunci: kawasan, permukiman, kumuh, Gorontalo, perkotaan
Universitas Muhammadiyah Gorontalo
2018-05-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Sistem Informasi Geografis
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/144
10.31314/jsig.v1i1.144
JURNAL SAINS INFORMASI GEOGRAFI; Vol 1, No 1 (2018): Edisi Mei; 51 - 55
J SIG (Jurnal Sains Informasi Geografi); Vol 1, No 1 (2018): Edisi Mei; 51 - 55
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/144/87
Copyright (c) 2018 JURNAL SAINS INFORMASI GEOGRAFIS
oai:ojs.journal.umgo.ac.id:article/830
2021-12-12T21:07:10Z
GEOUMGo:ART
SEBARAN TINGKAT EROSI DI DAERAH TANGKAPAN AIR SITU GINTUNG, CIPUTAT TIMUR, TANGERANG SELATAN, BANTEN (Distribution of erosion levels in Situ Gintung Catchment Area, East Ciputat, South Tangerang, Banten)
Muthmainnah, Faizah
Damayanti, Astrid
Geografi
daerah tangkapan air, penggunaan lahan, sebaran erosi, tingkat erosi, USLE
Erosi
Perubahan penggunaan lahan pada suatu daerah tangkapan air (DTA) memiliki pengaruh terhadap kualitas suatu perairan. Sumber air dari suatu perairan dapat berasal dari mata air yang terdapat di dalamnya dan dari masukan air sungai atau limpasan air permukaan serta air hujan yang mengalir di lahan sekitar perairan tersebut. Daerah tangkapan air Situ Gintung adalah suatu daerah yang mengalirkan air ke Situ Gintung. Masyarakat yang tinggal di sekitar Situ Gintung memanfaatkan situ tersebut untuk perikanan, pertanian dan sarana wisata. Dalam jangka waktu 20 tahun, yaitu tahun 1999, 2004, 2009, 2014, 2019, Situ Gintung mengalami perubahan kualitas perairan secara fisik dapat diketahui melalui kandungan materi yang mengubah warna air tersebut. Perubahan tersebut salah satunya dipengaruhi oleh erosi dan sedimentasi. Penelitian ini bertujuan untuk mengetahui besarnya laju erosi di DTA Situ Gintung dengan menggunakan pemodelan USLE (Universal Soil Loss Equation). Hasil penelitian menunjukkan terdapat empat tingkat erosi di DTA Situ Gintung, yaitu normal, ringan, sedang, berat. Sebaran erosi yang terjadi di DTA Situ Gintung mengikuti pola lereng. Laju erosi normal terbesar sebesar 178,13 ton/ha/tahun pada tahun 2019 dan terkecil sebesar 58,43 ton/ha/tahun pada tahun 2014. Tingkat erosi ringan terbesar sebesar 1410,63 ton/ha/tahun pada tahun 2019 dan terkecil sebesar 706,13 ton/ha/tahun pada tahun 2014. Tingkat erosi sedang tertinggi adalah 2.831,84 ton/ha /tahun pada tahun 2009 dan yang terkecil sebesar 1710,71 ton/ha/tahun pada tahun 2014. Laju erosi berat terbesar adalah 4782,74 ton/ha/tahun pada tahun 2009 dan terkecil adalah 2.312,31 ton/ha/tahun pada tahun 2019.
Universitas Muhammadiyah Gorontalo
2021-05-28
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Universal Soil Loss Equation (USLE)
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/830
10.31314/jsig.v4i1.830
JURNAL SAINS INFORMASI GEOGRAFI; Vol 4, No 1 (2021): Edisi Mei; 22-33
J SIG (Jurnal Sains Informasi Geografi); Vol 4, No 1 (2021): Edisi Mei; 22-33
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/830/483
Copyright (c) 2021 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/419
2020-05-15T14:07:50Z
GEOUMGo:ART
oai:ojs.journal.umgo.ac.id:article/2690
2024-03-29T03:03:59Z
GEOUMGo:ART
ANALISIS SPASIAL TEMPORAL PERUBAHAN TUTUPAN LAHAN AKIBAT PEMBEBASAN LAHAN PEMBANGUNAN BANDARA INTERNASIONAL KERTAJATI
Purwaningsih, Yuli
Wibowo, Adi
Setiawan, Heri
Geografi; SIG
Kertajati International Airport; Google Earth; land cover; spatial-temporal analysis
SIG dan Penginderaan Jauh
The development of the Kertajati International Airport project in Majalengka Regency, West Java, directly impacts land cover change. The land cover change comes from land acquisition by residents in Kertajati, Bantarjati, Kertasari, Sukamulya, and Sukakerta Villages. This study aims to analyze land cover changes before and after the construction of Kertajati International Airport in each village and analyze the process of residential land acquisition and the airport construction process spatially and temporally. This research uses a spatial-temporal analysis method by comparing land cover before and after the construction of Kertajati International Airport in each village and visual interpretation using Google Earth image data in 2009, 2013, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023. The results showed that land cover change affected paddy fields, settlements, and moorlands. The most affected paddy fields are in Kertajati and Bantarjati Villages. Then, the most affected residential land is Kertasari Village. Land clearing of residential land was carried out in different years for each village due to the land acquisition process. The construction of Kertajati International Airport was carried out from 2013 to 2018, but after this period, there was still an additional runway in Sukamulya Village. This research proves that Google Earth imagery can help analyze land cover change.
Universitas Muhammadiyah Gorontalo
Universiitas Indonesia
Badan Informasi Geospasial
2024-03-17
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Analisis spasial temporal
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/2690
10.31314/jsig.v7i1.2690
JURNAL SAINS INFORMASI GEOGRAFI; Vol 7, No 1 (2024): Mei; 26-35
J SIG (Jurnal Sains Informasi Geografi); Vol 7, No 1 (2024): Mei; 26-35
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/2690/pdf
Copyright (c) 2024 J SIG (Jurnal Sains Informasi Geografi)
oai:ojs.journal.umgo.ac.id:article/559
2020-12-23T14:15:53Z
GEOUMGo:ART
PENDUGAAN LAJU SEDIMENTASI DENGAN MENGGUNAKAN MODEL USLE DI SUB DAS BIYONGA (Sedimentation Rate Estimation Using USLE Models In Biyonga Watershed)
Moha, Sartika
Taslim, Ivan
Jaya, Risman
geografi; pengelolaan daerah aliran sungai
Abstract - This research is conducted in the Subwatershed Biyonga area. The purpose of this research is to estimate the amount of sedimentation rate in Biyonga Sub-waters in the last five years from 2012 to 2016. A USLE model is used in this study to estimate the amount of sedimentation entering limboto lake. The results showed that for five years the Biyonga sub-watershed contributed Erosion of 5.870.145,93 ton/ha/year as well as the largest sedimentation of 1.402.507,01 ton/ha/years. This means that the results of Biyonga Sub-watershed needed more serious handling. Keywords: Erosion, USLE, Sedimentation ABSTRAK - Penelitian ini dilakukan di daerah Sub DAS Biyonga. Tujuan dari penelitian ini adalah untuk menduga besarnya laju sedimentasi pada Sub DAS Biyonga dalam lima tahun terakhir dari tahun 2012 hingga 2016. Sebuah model USLE digunakan dalam penelitian ini untuk menduga besarnya sedimentasi yang masuk ke Danau Limboto. Hasil penelitian menunjukan bahwa selama lima tahun Sub DAS Biyonga menyumbang Erosi sebesar 5.870.145,93 ton/ha/thn serta menymbang Sedimentasi terbesar yaitu sebanyak 1.402.507,01 ton/ha/thn. Artinya dari hasil tersebut Sub DAS Biyonga memerlukan penanganan yang lebih serius lagi. Kata Kunci: Erosi, USLE, Sedimentasi
Universitas Muhammadiyah Gorontalo
2020-05-15
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Universal Soil Loss Equation Modelling
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/559
10.31314/jsig.v3i1.559
JURNAL SAINS INFORMASI GEOGRAFI; Vol 3, No 1 (2020): Edisi Mei; 53-64
J SIG (Jurnal Sains Informasi Geografi); Vol 3, No 1 (2020): Edisi Mei; 53-64
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/559/315
Copyright (c) 2020 J SIG (Jurnal Sains Informasi Geografi)
oai:ojs.journal.umgo.ac.id:article/2002
2024-02-22T13:15:06Z
GEOUMGo:ART
KARAKTERISTIK ENDAPAN NIKEL LATERIT BLOK O DAERAH BUNTA, KABUPATEN BANGGAI
Ghaneswara, Oka Arin
Permana, Aang Panji
Hutagalung, Ronal
geologi
Block O, Bunta, Laterite Nickel Deposits
geologi ekonomi
The research area is in Block O Bunta Region, Banggai Regency. The research area includes areas with laterite nickel deposits in Central Sulawesi Province. Based on the Luwuk Sheet Geological Map, the Bunta area is included in the Ku Formation (Ultramafic Complex) composed of serpentinite, gabbro, basalt, and schist rocks. The aim of this study was to analyze the characteristics of laterite nickel deposits in Block O, Bunta Region, Banggai Regency. To achieve this goal, several research methods were carried out, namely field geological survey methods and laboratory analysis. The field geological survey includes detailed geological mapping and coring drilling data collection. The field geological survey includes observations of rocks and geomorphology of the study area. Meanwhile, laboratory analysis includes coring data analysis. The total drilling samples analyzed came from 40 drill points. The results and discussion show that the geomorphology of the study area is classified into denudational hill units. The lithology in the study area based on the analysis results is serpentinized peridotite. The characteristics of nickel laterite deposits in the study area consist of limonite and saprolite zones. The limote zone has a characteristic reddish brown color dominated by hematite minerals and yellowish brown dominated by goethith minerals. While the saprolite zone is dominated by a greenish-yellow color with its constituent minerals namely serpentine, goethith, silica.
Universitas Muhammadiyah Gorontalo
a person
2023-05-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Survei geologi dan analisis laboratorium
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/2002
10.31314/jsig.v6i1.2002
JURNAL SAINS INFORMASI GEOGRAFI; Vol 6, No 1 (2023): Edisi Mei; 31-37
J SIG (Jurnal Sains Informasi Geografi); Vol 6, No 1 (2023): Edisi Mei; 31-37
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/2002/pdf
Copyright (c) 2023 Jurnal Sains Informasi Geografi (J SIG)
oai:ojs.journal.umgo.ac.id:article/281
2020-04-14T03:23:20Z
GEOUMGo:ART
PENGEMBANGAN KAWASAN GEOPARK KALDERA TOBA DI KABUPATEN SAMOSIR (Development of The Geopark Kaldera Toba Area in Samosir District)
Marbun, Sahala Fransiskus
Muta’ali, Luthfi
Sudrajat, Sudrajat
Ilmu Geografi; Pengembangan Wilayah
Abstract - Geopark is an area with boundaries that have been clearly defined and have a large surface area for local economic development. Geopark not only consists of a number of geological diversity that has special interests, scarcity and beauty known as geological heritage, but also cultural diversity and biotic diversity. As one of the districts included in the Toba Caldera Geopark Region, Samosir Regency has a unique location, which is a district where the entire administrative area is the Toba Caldera Geopark Region. This study aims to formulate a strategy to develop Toba Caldera Geopark in Samosir Regency. The method used is descriptive qualitative by using Analysis Hierarchy Process (AHP) analysis techniques. The results showed that the priority strategy for the development of the Toba Caldera Geopark Area in Samosir District was community development, conservation and also economic development. The strategic program that is a priority in the development of the Toba Caldera Geopark Area in Samosir Regency from the aspect of community development is Involving the local community in the preparation of geopark activities programs, Socialization of the concept of geopark to the community, Improvement of geological, biological and cultural education. Keywords: Geopark, Area Development, AHP
Universitas Muhammadiyah Gorontalo
2019-11-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Kuantitatif; AHP
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/281
10.31314/jsig.v2i2.281
JURNAL SAINS INFORMASI GEOGRAFI; Vol 2, No 2 (2019): Edisi November; 18-23
J SIG (Jurnal Sains Informasi Geografi); Vol 2, No 2 (2019): Edisi November; 18-23
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/281/230
Copyright (c) 2019 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/1774
2022-12-24T10:25:53Z
GEOUMGo:ART
ec_fundedresources
PEMANFAATAN CITRA SATELIT LANDSAT 8 UNTUK MEMETAKAN HUTAN MANGROVE WISATA BAHARI PANTAI KARANGANTU, TELUK BANTEN
Putri, Kiran Aulia
Arifin, Willdan Aprizal
Minsaris, La Ode Alam
Sistem Informasi Geografis
google earth engine, karangantu, landsat, mangrove, marine tourism
Penginderaan Jauh
Mangrove marine tourism is one of the tourism sectors involved in large and important projects in tourism development. The transformation of PPN Karangantu from a protected area to marine tourism has caused environmental damage. This continued focus on mass tourism has resulted in environmental damage and pollution of the mangrove area found in PPN Karangantu. The aim of the study was to calculate the area of mangrove forest, the accuracy value of mangrove density and changes in conditions due to the existence of the Karangantu Beach marine tourism area in the last 5 years. The research method uses a mixed method to identify mangrove areas by visually analyzing landsat 8 spectral values using the Google Earth Engine (GEE) platform and by image processing for 2018-2022. The results showed that in 2018 the area of mangrove land was 17.04 ha, which decreased drastically in 2019 to 6.28 ha due to an oil spill that was carried away from Karawang Waters. In 2020 it will be 10.6 ha, in 2021 it will be 9.56 ha and in 2022 it will be 7.32 ha. This decrease area is due to marine tourism activities which damage the mangrove ecosystem land and many visitors do not protect the ecosystem. The use of GEE can provide an overview of the capabilities of Landsat 8 satellite imagery in mapping the mangrove forests in Karangantu Beach.
Universitas Muhammadiyah Gorontalo
Universitas Pendidikan Indonesia
2022-11-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Pengindraan Jauh (google earth engine)
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1774
10.31314/jsig.v5i2.1774
JURNAL SAINS INFORMASI GEOGRAFI; Vol 5, No 2 (2022): Edisi November; 82-92
J SIG (Jurnal Sains Informasi Geografi); Vol 5, No 2 (2022): Edisi November; 82-92
2614-1671
ind
info:eu-repo/grantAgreement/EC/FP7/177448
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1774/pdf
info:eu-repo/semantics/openAccess
Copyright (c) 2022 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/181
2019-12-03T04:49:59Z
GEOUMGo:ART
ANALISIS SPASIAL PERUBAHAN AREA TERBANGUN KOTA GORONTALO (Spatial Analysis Of Gorontalo City Building Area Changes)
Syukri, Muhammad Rijal
Arifin, Sri Sutarni
Geografi, Perkembangan wilayah
Abstract - Development in urban areas growth accompanied by increasing population. This increase has an impact on the increasing need for urban space. This causes the area to be built in urban areas to increase and the reduction of open space so as to encourage the use of rice fields as residential areas and offices. Therefore it is necessary to do a study or evaluation through spatial analysis to determine changes in the use of paddy fields in Gorontalo City in a certain period of time. This study is one of the references in the direction of environmentally sound development for the future. This study aims to analyze changes in land use as a built area within 5 years from 2008 to 2013. The method used in this study is spatial analysis consisting of image data and digital maps as supporting data. The analysis was carried out by overlaying the land use map technique with different periods of time from the interpretation of digital satellite images. The results showed that there were two types of changes in the built-up area in Gorontalo City within a period of 5 years, namely the change in open area to a built area and the area built into an open area.
Keywords: changed, land, built area, gorontalo
Abstrak – Pembangunan di wilayah perkotaan terus berkembang yang disertai dengan meningkatnya jumlah penduduk. Peningkatan ini berdampak pada semakin tingginya kebutuhan akan ruang kota. Hal ini menyebabkan kawasan terbangun di wilayah perkotaan semakin meningkat dan berkurangnya ruang terbuka sehingga mendorong penggunaan lahan sawah sebagai area permukiman dan perkantoran. Oleh karena itu perlu dilakukan kajian atau evaluasi melalui analisis spasial untuk mengetahui perubahan pemanfaatan lahan sawah yang ada di Kota Gorontalo dalam kurun waktu tertentu. Kajian ini merupakan salah satu acuan dalam arahan pembangunan yang berwawasan lingkungan untuk masa mendatang. Penelitian ini bertujuan untuk menganalisis perubahan pemanfaatan lahan sebagai area terbangun dalam kurun waktu 5 tahun dari tahun 2008 hingga 2013 . Metode yang digunakan dalam penelitian ini adalah analisis spasial terdiri dari data citra dan peta digital sebagai data pendukung. Analisis dilakukan dengan teknik overlay peta penggunaan lahan dengan kurun waktu berbeda hasil interpretasi citra satelit digital. Hasil penelitian menunjukkan terdapat dua jenis perubahan area terbangun di Kota Gorontalo dalam kurun waktu 5 tahun yaitu perubahan area terbuka menjadi area terbangun dan area terbangun menjadi area terbuka.
Kata kunci: perubahan, lahan, area terbangun, gorontalo
Universitas Muhammadiyah Gorontalo
2018-12-01
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
spasial
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/181
10.31314/jsig.v1i2.181
JURNAL SAINS INFORMASI GEOGRAFI; Vol 1, No 2 (2018): Edisi November; 40-43
J SIG (Jurnal Sains Informasi Geografi); Vol 1, No 2 (2018): Edisi November; 40-43
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/181/pdf_1
Copyright (c) 2018 JURNAL SAINS INFORMASI GEOGRAFIS
oai:ojs.journal.umgo.ac.id:article/738
2022-11-25T04:41:58Z
GEOUMGo:ART
PENGOLAHAN FOTO UDARA DRONE MENGGUNAKAN PERANGKAT LUNAK Pix4DMAPPER (Drone Aerial Photograph Processing Using Pix4D Mapper Software)
Koto, Arthur Gani
Geografi ; Penginderaan Jauh ; Perencanaan Wilayah
Abstract - A recording project using a drone where one of the results is in the form of aerial photographs, it is necessary to carry out further processing, namely a mosaic to obtain the final result in the form of an orthomosaic. It is intended that it can be analyzed for various interests, especially in the field of earth. This study aims to show how to process drone aerial photos into orthomosaic using a desktop PC that has Pix4Dmapper software installed. The data used is an aerial photo of the PRPM area "tracking mangrove in love" totaling 112 images recorded by the DJI Phantom 4 drone. The processing process used a PC desktop with specifications : AMD FX 8300 CPU, 16 GB DDR3 RAM, GPU: AMD Radeon (TM) R9 200 Series 2 GB, HDD: 1 TB 5400 rpm, and Windows 10 Enterprise 64-bit operating system. The method used is processing drone aerial photos into orthomosaic and DSM on the Pix4Dmapper software using a PC Desktop. During aerial photo processing, temperature observations (CPU, RAM, GPU, HDD, Motherboard) are also carried out using the CPUID HWMonitor application and observing hardware workloads (CPU, RAM, GPU, HDD) using the Task Manager application. Initial processing and DSM, Orthomosaic, and Index are performed by default setting. Point Cloud and Mesh settings for image scale: slow and point density: high, otherwise they are the default. The results showed that the need for processing drone aerial photos into orthomosaic and DSM can be done with the desktop PC specifications mentioned above. The total time required during the processing process is 5 hours 18 minutes 28 seconds.Keywords: aerial photograph, drone, orthomosaic, pix4d mapper Abstrak – Kegiatan perekaman menggunakan drone yang salah satu hasilnya berupa foto udara perlu dilakukan pengolahan lebih lanjut yaitu mosaik agar diperoleh hasil akhir berupa orthomosaic. Hal ini bertujuan agar dapat dianalisis untuk berbagai kepentingan khususnya dibidang kebumian. Penelitian ini bertujuan untuk menunjukkan bagaimana pengolahan foto udara drone menjadi orthomosaic menggunakan PC Desktop yang telah terinstall perangkat lunak Pix4Dmapper. Data yang yang digunakan yaitu foto udara kawasan PRPM “tracking mangrove in love” berjumlah 112 image yang direkam drone DJI Phantom 4. Proses pengolahan menggunakan PC desktop dengan spesifikasi CPU AMD FX 8300, 16 GB RAM DDR3, GPU: AMD Radeon (TM) R9 200 Series 2 GB, HDD: 1 TB 5400 rpm, dan sistem operasi Windows 10 Enterprise 64-bit. Metode yang digunakan yaitu pengolahan foto udara drone menjadi orthomosaic dan DSM pada perangkat lunak Pix4Dmapper menggunakan PC Desktop. Selama pengolahan foto udara berlangsung, dilakukan pula pengamatan suhu (CPU, RAM, GPU, HDD, Motherboard) menggunakan aplikasi CPUID HWMonitor dan pengamatan beban kerja perangkat keras (CPU, RAM, GPU, HDD) menggunakan aplikasi Task Manager. Pengaturan Initial processing dan DSM, Orthomosaic, and Index dilakukan secara default. Pengaturan Point Cloud and Mesh untuk image scale : slow dan point density : high, selain itu default. Hasil penelitian menunjukkan bahwa kebutuhan untuk pengolahan foto udara drone menjadi orthomosaic dan DSM dapat dilakukan dengan spesifikasi PC Desktop tersebut diatas. Total waktu yang dibutuhkan selama proses pengolahan yaitu 5 jam 18 menit 28 detik.Kata kunci: foto udara, drone, ortomosaic, pix4d mapper
Universitas Muhammadiyah Gorontalo
2021-05-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/738
10.31314/jsig.v4i1.738
JURNAL SAINS INFORMASI GEOGRAFI; Vol 4, No 1 (2021): Edisi Mei; 50-57
J SIG (Jurnal Sains Informasi Geografi); Vol 4, No 1 (2021): Edisi Mei; 50-57
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/738/813
Copyright (c) 2021 JURNAL SAINS INFORMASI GEOGRAFIS
oai:ojs.journal.umgo.ac.id:article/87
2019-03-26T21:06:34Z
GEOUMGo:ART
PENGEMBANGAN SECARA SPASIAL BENTENG OTANAHA DI KAWASAN CAGAR BUDAYA GORONTALO
Butulipu, Dwi Randayani
Taslim, Ivan
Rijal, Ahmad Syamsu
geografi; geowisata
Abstract – This study aims to analyze the development of tourist areas of Benteng Otanaha spatially by using SWOT and GIS analysis. Data obtained in the form of primary data include field observation, interviews, questionnaires, field documentation and secondary data in the form of data collection through document studies and literature study. The results of this study indicate that tourism in Benteng Otanaha in the cultural heritage area has good potential to be developed because it includes cultural preservation based on diversity, uniqueness and distinctiveness of culture and nature as well as human needs for a vacation. The development of Otanaha Fortress in the cultural heritage area requires follow up of local government and community, so it can be one of the tourist destinations in Gorontalo.
Keywords: spatial development, swot analysis, gis, otanaha castle, cultural heritage, gorontalo
Abstrak – Penelitian ini bertujuan untuk menganalisis pengembangan kawasan wisata Benteng Otanaha secara spasial dengan menggunakan analisis SWOT dan SIG. Data yang diperoleh berupa data primer meliputi observasi lapangan, wawancara, kuesioner, dokumentasi lapangan dan data sekunder berupa pengambilan data melalui studi dokumen dan studi pustaka. Hasil penelitian ini menunjukkan bahwa pariwisata di Benteng Otanaha di kawasan cagar budaya memiliki potensi yang sangat baik untuk dikembangkan karena meliputi pelestarian budaya berdasarkan keragaman, keunikan dan kekhasan budaya dan alam juga kebutuhan manusia untuk berlibur. Pengembangan Benteng Otanaha di kawasan cagar budaya memerlukan tindak lanjut dari pemerintah daerah dan masyarakat, sehingga dapat menjadi salah satu tujuan wisata di Gorontalo.
Kata Kunci: pengembangan spasial, analisis swot, sig, benteng otanaha, cagar budaya, gorontalo
Universitas Muhammadiyah Gorontalo
2018-05-25
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
survei lapangan, wawancara, analisis SWOT, Sistem Informasi Geografis
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/87
10.31314/jsig.v1i1.87
JURNAL SAINS INFORMASI GEOGRAFI; Vol 1, No 1 (2018): Edisi Mei; 8 - 16
J SIG (Jurnal Sains Informasi Geografi); Vol 1, No 1 (2018): Edisi Mei; 8 - 16
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/87/47
Copyright (c) 2018 JURNAL SAINS INFORMASI GEOGRAFIS
oai:ojs.journal.umgo.ac.id:article/668
2020-12-23T14:09:34Z
GEOUMGo:ART
POTENSI EKOWISATA PANTAI MOLOTABU KABUPATEN BONE BOLANGO BERDASARKAN ANALISIS SPASIAL EKOLOGIS (The Potential of Molotabu Beach Ecotourism, Bone Bolango Regency Based on Ecological Spatial Analysis)
Suly Eraku, Sunarty
Karmin Baruadi, Mohamad
Permana, Aang Panji
Hendra, Hendra
Mohamad, Nurdin
Geography
Ecotourism, Geographical Information System, Molotabu Beach
Ecotourism
Abstract - The development of the coastal area in Bone Bolango Regency is a huge potential for ecotourism. Ecotourism development focuses on aspects of nature conservation, aspects of socio-cultural and economic empowerment of local communities, aspects of learning and education. One of the ecotourism potentials of coastal areas in Bone Bolango Regency is the Molotabu beach area. The purpose of this research is to analyze the potential of the Molotabu beach ecotourism area based on the physical parameters of the socio-cultural, economic and institutional parameters. To achieve this purpose, an ecological spatial approach is used using the Geographical Information System. Field observation research methods consisted of direct measurements, interviews, and questionnaires. The research analysis used quantitatively, namely descriptive statistical analysis, scoring analysis and qualitative descriptive analysis for the final assessment of the potential of Molotabu beach ecotourism. Based on the results of the analysis of the physical parameters of the beach, namely vegetation, environmental cleanliness, beach material and water transparency, Molotabu beach has high potential. The same results were also obtained for the measurement of physical parameters including distance, infrastructure, accessibility and attractiveness of the Molotabu beach ecotourism area. High potential for ecotourism is also obtained from criteria based on institutional, socio-cultural, economic and environmental parameters. The high potential of Molotabu Beach ecotourism is because this coastal area has the potential for natural scenery, underwater beauty, crafts, regional arts and culinary.
Universitas Muhammadiyah Gorontalo
a person
2020-11-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
an ecological spatial approach is used using the Geographical Information System.
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/668
10.31314/jsig.v3i2.668
JURNAL SAINS INFORMASI GEOGRAFI; Vol 3, No 2 (2020): Edisi November; 100-107
J SIG (Jurnal Sains Informasi Geografi); Vol 3, No 2 (2020): Edisi November; 100-107
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/668/403
Copyright (c) 2020 J SIG (Jurnal Sains Informasi Geografi)
oai:ojs.journal.umgo.ac.id:article/2453
2024-02-22T13:15:29Z
GEOUMGo:ART
ZONASI SPASIAL SMA NEGERI DALAM PENERIMAAN SISWA BARU DI ZONA D, KABUPATEN KUNINGAN
Tusam, Mohamad
Ismail, Jalu Rafli
Sugandi, Dede
New Student Admissions; State High School; School Zoning; Zone D
The establishment of zoning for Public High Schools in Zone D of Kuningan Regency is determined by the government, with a total of 4 schools designated for this purpose. Meanwhile, data from Dapodik indicates the presence of 22 junior high schools scattered within this zone. This number does not include the count of MTs (Madrasah Tsanawiyah) under the Ministry of Religious Affairs. This situation highlights the limited capacity of Public High Schools. On the other hand, there is no clear basis for dividing the geographical areas among the schools to accommodate new students within the zone. Consequently, there is a potential for imbalance among Public High Schools in accepting new students. The research aims to determine the distribution and service areas, as well as the zoning of Public High Schools in Zone D of Kuningan Regency. Geographic Information System (GIS) methods include overlay analysis used for the distribution analysis and zoning of new student admissions. Thiessen polygon analysis is employed for service area analysis, and remote sensing techniques with a supervised classification approach are used to analyze land distribution. The results show that the distribution of Public High Schools in Zone D extends towards the west, towards the city center of Kuningan Regency, and is limited in the eastern direction, towards the border of Central Java Province. SMA Negeri 1 Cibingbin has the largest service area, covering 12,534 ha, including 6,998 ha in the Cibingbin subdistrict, 1,907 ha in Cimahi, 485 ha in Karangkancana, 3,143 hectares in Cibeureum, and a residential area of 351 ha.
Universitas Muhammadiyah Gorontalo
2023-11-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Metode SIG dengan Pendekatan Analisis Overlay dan Thiessen Polygon serta Metode Penginderaan Jauh dengan Pendekataan Klasifikasi Terbimbing
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/2453
10.31314/jsig.v6i2.2453
JURNAL SAINS INFORMASI GEOGRAFI; Vol 6, No 2 (2023): November; 77-85
J SIG (Jurnal Sains Informasi Geografi); Vol 6, No 2 (2023): November; 77-85
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/2453/pdf
Copyright (c) 2023 Jurnal Sains Informasi Geografi (J SIG)
oai:ojs.journal.umgo.ac.id:article/423
2020-12-23T14:15:52Z
GEOUMGo:ART
PENENTUAN JALUR TERDEKAT TITIK EVAKUASI TSUNAMI (SHELTER) BERBASIS WEB GIS DENGAN ALGORITMA A-STAR DIKAWASAN PURUS KOTA PADANG (Determination of The Nearest Path of The Tsunami Evacuation Point Based on Webgis With A-Star Algorithm In Kawasan Purus, Padang City)
larno, Sularno
Astri, Renitas
Shelter, Geographic Information System, A-Star Algorithm
Abstract - District of West Padang which is the area closest to the coast and has a high population.Therefore a geographic information system was created using the A-Star Algorithm method. The A-Staralgorithm uses the closest distance estimation to reach a goal and has a heuristic value that is used as abasis for consideration. In this system there are alternative paths and show the amount of capacity anddistance from the shelter to be addressed. Keywords: earthquake, tsunami, shelter, geographic information system, a-star algorithm Abstrak – Kawasan Purus Kota Padang yang merupakan daerah terdekat dengan pantai dan memilikijumlah penduduk yang tinggi. Oleh karena itu dibuatlah sebuah sistem informasi geografis denganmenggunakan metode Algoritma A-Star. Algoritma A-Star menggunakan estimasi jarak terdekat untukmencapai tujuan (goal) dan memiliki nilai heuristik yang digunakan sebagai dasar pertimbangan. Padasistem ini terdapat jalur alternatif dan menunjukkan jumlah daya tampung serta jarak dari shelter yang akandituju. Kata kunci: gempa, tsunami, selter, sistem informasi geografis, algoritma a-star
Universitas Muhammadiyah Gorontalo
2020-05-15
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/423
10.31314/jsig.v3i1.423
JURNAL SAINS INFORMASI GEOGRAFI; Vol 3, No 1 (2020): Edisi Mei; 10-22
J SIG (Jurnal Sains Informasi Geografi); Vol 3, No 1 (2020): Edisi Mei; 10-22
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/423/311
Copyright (c) 2020 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/1708
2022-12-24T10:25:53Z
GEOUMGo:ART
KAJIAN PENENTUAN PRIORITAS RUANG TERBUKA HIJAU BERDASARKAN FENOMENA URBAN HEAT ISLAND DI KOTA CIREBON
Fardani, Irland
Yosliansyah, Mohamad Rizalby
perencanaan wilayah dan kota, geografi
urban heat island, green open space, cirebon, green infrastructure
Urban Heat Island (UHI) is characterized by an increase in surface temperature that occurs in downtown areas which is higher than in sub-urban areas. Cirebon City in 2018 - 2023 years has an increased population growth rate of 2.9% per year and ± 55% of built-up land. Cirebon city also one of the 9 cities in West Java where there has been an increase in temperature where the UHI phenomenon occurred in 1989 – 2021 years with the downtown and sub-urban areas having a surface temperature difference of 3°C. So it is necessary to have a study regarding determining the priority of green open space reduce the effect of UHI in Cirebon City. The research methodology used is Landsat 8 image processing and with helping of a Geographic Information System (GIS) to determine priority green open space locations. The parameters used are vegetation index, population density and comfort index. The purpose of this study is to determine the priority locations in increasing the area of green open space to reduce the UHI effect based on the level of suitability of the Cirebon City Rencana Detil Tata Ruang (RDTR). The results of the study show that areas that are not suitable according to the RDTR of Cirebon City are the top priority that needs to be done. The priority is reforestation covering an area of ± 2,481.22 ha around built-up land by modifying green open space in the form of implementing green infrastructure (GI).
Universitas Muhammadiyah Gorontalo
2022-12-24
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1708
10.31314/jsig.v5i2.1708
JURNAL SAINS INFORMASI GEOGRAFI; Vol 5, No 2 (2022): Edisi November; 93-107
J SIG (Jurnal Sains Informasi Geografi); Vol 5, No 2 (2022): Edisi November; 93-107
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1708/1137
Copyright (c) 2022 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/224
2019-12-03T04:49:59Z
GEOUMGo:ART
PEMANFAATAN NETWORK ANALYSIS DALAM MENGIDENTIFIKASI OBJEK WISATA BUDAYA DI KABUPATEN TANAH DATAR (Utilization of Network Analysis in Identifying Culture Tourism Object in Tanah Datar District)
Satria Permana, Eko
Triyatno, Triyatno
Nofrizal, Adenan Yandra
Geogrpahy, and GIS
Abstrak – Potensi pariwisata Indonesia sangatlah besar dari Sabang sampai Merauke dengan segala macam obyek pariwisata, yang kesemuanya itu diharapkan mampu menarik lebih banyak lagi devisa negara, baik dari wisatawan dalam negeri maupun wisatawan luar negara. Pendekatan sistem informasi geografis mampu memetakkan persebaran lokasi objek wisata serta melakukan analisis jarak antar lokasi wisata. Data yang digunakan dalam analisis lokasi wisata melalui pendekatan survei lapangan lalu dihubungkan dengan jaringan jalan. Dimana titik koordinat dari lokasi objek wisata budaya diolah menggunakan metode Network Analysis yang berguna menentukan lokasi objek wisata budaya dan jarak terdekat antar objek wisata budaya dari kota Batusangkar di Kabupaten Tanah Datar. Dalam peneitian ini kami mengambil 11 titik sampel objek wisata budaya yang ada di Kabupaten Tanah datar dan dilindungi oleh undang undang. Hasil yang diperoleh berupa peta sebaran objek wisata budaya dan jarak terdekat antar objek wisata budaya yang ada di Kabupaten Tanah Datar
Universitas Muhammadiyah Gorontalo
2019-04-15
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
GIS
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/224
10.31314/jsig.v2i1.224
JURNAL SAINS INFORMASI GEOGRAFI; Vol 2, No 1 (2019): Edisi Mei; 30-39
J SIG (Jurnal Sains Informasi Geografi); Vol 2, No 1 (2019): Edisi Mei; 30-39
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/224/127
Copyright (c) 2019 JURNAL SAINS INFORMASI GEOGRAFI
oai:ojs.journal.umgo.ac.id:article/1737
2022-12-24T10:25:53Z
GEOUMGo:ART
PREDIKSI POLA ABRASI DALAM RANGKA MITIGASI BENCANA DI KECAMATAN GEROKGAK, KABUPATEN BULELENG, BALI
Jayantara, I Gst Ngr Yoga
Geodesi
abrasion, coastline changes, disaster mitigation, abrasion patterns
Mitigasi Bencana
Gerokgak Subdistrict has seen a significant change in coastline during the past 20 years, from 1997 to 2017, with the largest change being around 620.6 meters. Of the several factors that cause coastline changes, abrasion is one of the most detrimental factors. Change in coastline caused by abrasion can be categorized as disasters because it is destructive and detrimental, as it threatens ecosystems or buildings behind the coastline. Judging from the tendency of development in Gerokgak District that inclines towards the coast, abrasion could be a devastating disaster for most of the people of Gerokgak Subdistrict. Structures such as PLTU Celukan Bawang, hotels on the beach, temples on the beach, and fish ponds owned by the government and the community will become easy targets for abrasion. Previous research resulted in an analysis of shoreline change from shoreline extraction every five years over a 25-year period. There are 6 coastlines resulting from shoreline extraction in 1995-2020. In this study, the six samples of coastline data that have been obtained will be used to draw a general conclusion on abrasion pattern and then this abrasion pattern will be used to produce extrapolation of the abrasion pattern every five years for the next 10 years, namely 2025 and 2030. This study produced extrapolation calculations for 2025 and 2030 which were achieved using the linear regression method with the aim that a linear coastline pattern could be formed as a consideration for decision making for abrasion disaster mitigation policies that occurred in Gerokgak Subdistrict.
Universitas Muhammadiyah Gorontalo
2022-11-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1737
10.31314/jsig.v5i2.1737
JURNAL SAINS INFORMASI GEOGRAFI; Vol 5, No 2 (2022): Edisi November; 49-57
J SIG (Jurnal Sains Informasi Geografi); Vol 5, No 2 (2022): Edisi November; 49-57
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/1737/1131
Copyright (c) 2022 Jurnal Sains Informasi Geografi
oai:ojs.journal.umgo.ac.id:article/173
2019-12-03T04:49:58Z
GEOUMGo:ART
IDENTIFIKASI POTENSI ALAM DESA DULANGEYA SEBAGAI KAWASAN WISATA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (Identification of the Natural Potential of Dulangeya Village as a Tourism Area Using Geographic Information Systems)
Saleh, Herman
Koto, Arthur Gani
Taslim, Ivan
Geografi; Geowisata
Abstract - This research was conducted in Dulangeya Village, Botumoito District, Boalemo Regency. Dulangeya village is one of the villages in Botumoito Subdistrict that has natural resources (SDA) that deserve to serve as the object of natural tourist attraction. The natural potential is hot springs, mangroves and white sandy beaches based on the above objective of this research is to identify the natural potentials in Dulangeya village into tourist areas by utilizing GIS applications. Methods and data analysis used is the method of interview and field observation is a method that aims to determine the level of natural potential feasibility in Dulangeya village which will serve as a spatial analysis and scoring. The results of spatial analysis based on land cover map, slope map and geological map shows that Dulangeya village has land cover (primary mangrove forest, secondary mangrove forest, dryland farming, dryland farming mixed with shrubs / bushes), alluvium geology and granodiorite and slope which range between
2-5% and 5-15%. Meanwhile, based on scoring analysis for each criterion is attractiveness (94.44%), accessibility (70.83%), accommodation (33.33%) and facilities and infrastructure (70%). Based on the results of spatial analysis and scoring analysis shows that Dulangeya Village is one of the villages in Botumoito Subdistrict that has the potential of natural resources that deserve to be used as one of the natural attractions.
Keywords: Nature Potential, Tourism, Dulangeya Village, GIS
Abstrak - Penelitian ini dilakukan di Desa Dulangeya Kecamatan Botumoito Kabupaten Boalemo. Desa Dulangeya merupakan salah satu Desa di Kecamatan Botumoito yang memiliki Sumber Daya Alam (SDA) yang layak untuk dijadikan sebagai obyek daya tarik wisata alam. Potensi alam tersebut berupa sumber mata air panas, mangrove dan pesisir pantai berpasir putih berdasarkan hal tersebut maka tujuan dari penelitian ini adalah mengidentifikasi potensi alam di Desa Dulangeya menjadi kawasan wisata dengan memanfaatkan aplikasi SIG. Metode dan analisis data yang digunakan adalah metode wawancara dan observasi yaitu metode yang bertujuan untuk mengetahui tingkat kelayakan potensi alam di Desa Dulangeya yang akan dijadikan sebagai kawasan wisata dan dianalisis secara spasial dan skoring. Hasil analisis spasial berdasarkan peta tutupan lahan, peta lereng dan peta geologi menunjukan bahwa Desa Dulangeya memiliki tutupan lahan (hutan mangrove primer, hutan mangrove sekunder, pertanian lahan
kering, pertanian lahan kering bercampur semak/belukar), tataran geologi aluvium dan granodiorit serta kemiringan lereng yang berkisar antara 2-5% dan 5-15%. Sedangkan berdasarkan hasil analisis skoring untuk setiap kriteria penilian adalah daya tarik (94,44%), aksesibilitas (70,83%), akomodasi (33,33%) serta sarana dan prasana (70%). Berdasarkan hasil analisis spasial dan analisis skoring menunjukkan bahwa Desa Dulangeya merupakan salah satu Desa di Kecamatan Botumoito yang memiliki potensi SDA yang layak untuk dijadikan sebagai salah satu obyek wisata alam.
Kata Kunci: Potensi Alam, Wisata, Desa Dulangeya, SIG
Universitas Muhammadiyah Gorontalo
2018-11-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
SIG, Kuisioner dan wawancara, Survei lapangan
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/173
10.31314/jsig.v1i2.173
JURNAL SAINS INFORMASI GEOGRAFI; Vol 1, No 2 (2018): Edisi November; 1-11
J SIG (Jurnal Sains Informasi Geografi); Vol 1, No 2 (2018): Edisi November; 1-11
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/173/105
Copyright (c) 2018 JURNAL SAINS INFORMASI GEOGRAFIS
oai:ojs.journal.umgo.ac.id:article/838
2021-12-12T21:07:10Z
GEOUMGo:ART
ANALISIS SPATIO – TEMPORAL PERUBAHAN KERAPATAN VEGETASI DI KECAMATAN LEMBANG (Spatio Temporal Analysis Of Changes Vegetation Density In Kecamatan Lembang)
Fachri, Hana Taqiyyah
Hilmi, Abyan
Firmansyah, Adi
Sains Infromasi Geografi; Geografi
Kerapatan Vegetasi; Landsat 8; NDVI; Kecamatan Lembang
Penginderaan Jauh dan Sistem Informasi Geografis
Lembang adalah sebuah kecamatan yang berada di daerah Kabupaten Bandung Barat, Provinsi Jawa Barat, Indonesia. Kecamatan Lembang berjarak sekitar 22 kilometer dari Ibu Kota Kabupaten Bandung Barat ke arah timur laut melalui Cisarua. Kecamatan ini merupakan kecamatan paling timur dan terkenal sebagai tujuan wisata di Jawa Barat karena pemandangan alamnya yang masih asri dan kawasannya yang berada di dataran tinggi menambah daya tarik para wisatawan untuk datang dan berwisata. Sebagian besar lahan hijau yang ada di Kecamatan Lembang telah berubah menjadi lingkungan buatan yang dibangun untuk kebutuhan manusia, seperti pemukiman, sarana parawisata, dan usaha-usaha kecil menengah yang menunjang sarana pariwisata. Hal ini tentu saja akan berpengaruh kepada tingkat kerapatan vegetasi di Kecamatan Lembang dan bisa menjadi permasalahan yang besar dikemudian hari apabila pembangunan - pembangunan tersebut tidak dikontrol. Tujuan dari penelitian ilmiah ini adalah untuk menganalisis persebaran nilai indeks vegetasi dan besaran perubahan luas antar kerapatan vegetasi di kecamatan Lembang pada tahun 2013, 2015, 2019. Metode yang digunakan dalam penelitian ini adalah interpretasi citra Landsat 8 dengan menggunakan metode Normalized Difference Vegetation Indeks (NDVI) yang menggambarkan tingkat kehijauan suatu tanaman dan analisis deksriktif berbasis keruangan. Dari hasil penelitian, kerapatan vegetasi di Kecamatan Lembang terdistribusi menjadi 5 kelas yaitu non vegetasi, kerapatan rendah, kerapatan sedang, kerapatan tinggi dan kerapatan sangat tinggi. Selain itu kerapatan vegetasi juga mengalami pertambahan luas pada kelas non vegetasi dan kerapatan rendah serta mengalami penurunan luas pada kelas kerapatan tinggi.Kata kunci: Kerapatan Vegetasi, Landsat 8, NDVI, Kecamatan Lembang
Universitas Muhammadiyah Gorontalo
2021-05-28
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Penginderaan Jauh, NDVI, Sistem Informasi Geografis
application/pdf
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/838
10.31314/jsig.v4i1.838
JURNAL SAINS INFORMASI GEOGRAFI; Vol 4, No 1 (2021): Edisi Mei; 34-40
J SIG (Jurnal Sains Informasi Geografi); Vol 4, No 1 (2021): Edisi Mei; 34-40
2614-1671
ind
https://journal.umgo.ac.id/index.php/GEOUMGo/article/view/838/485
Copyright (c) 2021 Jurnal Sains Informasi Geografi
721da5d1e8872385bfd592313768295f