Analisis Daerah Rawan Banjir melalui Pemanfaatan Sistem Informasi Geografis (SIG) di Wilayah Kabupaten Gorontalo Provinsi Gorontalo

Sri Rahayu Ayuba

Abstract


In the Gorontalo Disaster Risk Study 2016–2020, the main natural event that occurred in the province was a flood disaster that resulted in many lives and property casualties. Floods in the province of Gorontalo have become a common problem that occurs every year, especially during the rainy season. Reducing the risk of flood disasters that will be caused requires coordination from all parties, both the local government and the community itself. In planning the reduction of flood risk, the initial step of mapping the area vulnerable to floods can be helpful. The aim of this research is to find out the level of flooding in the district of Gorontalo. This study is a descriptive quantitative study with the methods of calculation (scoring) and overlay SIG. The spatial data used are maps of the earth, thematic maps consisting of administrative maps, elevation, rainfall, land use, soil types, river density, and the history of flooding in Gorontalo district. The data processing for this research is carried out with digital-based software called Arcgis. The results of the research obtained showed that flood-prone districts in Gorontalo district were divided into unprone areas of 74.082,95516 ha (35,02%). The fairly vulnerable area is 93,430,9777 ha (44,16%). And the highly vulnerable area amounted to 44.038,88969 ha (20,82%).


Keywords


Geographic Information System, Level of Flooding

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References


Basuki, K. (2019). Studi Pemetaan Daerah Rawan Banjir Dengan Metode Skoring Dan Pembobotan Pada Daerah Kota Tarakan. Jurnal Online International Dan Nasional, 7(1), 53–39.

Darmawan, K., Hani’ah, & Suprayogi, A. (2017). Analisis Tingkat Kerawanan Banjir Di Kabupaten Sampang Menggunakan Metode Overlay Dengan Scoring Berbasis Sistem Informasi Geografis. Jurnal Geodesi Undip, 6(1), 31–40.

Fitriana, N. (2018). Mengenal Sistem Informasi Geografis dan Manfaatnya. Klaten: Saka Mitra Kompetensi.

Jeihan, S. (2017). ANALISA DAERAH RAWAN BANJIR DI KABUPATEN SAMPANG MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DENGAN METODE DATA MULTI TEMPORAL. Institut Teknologi Sepuluh Nopember.

Miardini, A., & Susanti, P. D. (2016). Penatagunaan Lahan Sebagai Upaya Mitigasi Banjir di Kabupaten Ngawi. Prosiding Seminar Nasional Geografi UMS.

Nuryanti, Tanesib, J. L., & Warsiti, A. (2018). Pemetaan Daerah Rawan Banjir Dengan Penginderaan Jauh Dan Sistem Informasi Geografis Di Kecamatan Kupang Timur Kabupaten Kupang Provinsi Nusa Tenggara Timur. Jurnal Fisika Sains Dan Aplikasinya, 3(2), 73–79.

Putra, M. M. (2020). ANALISIS TINGKAT KERAWANAN BENCANA BANJIR BERBASIS GIS (Geographic Information System) PADA SUB DAS PANGEAN KABUPATEN KUANTAN SINGINGI. Universitas Islam Riau.

Rahmaniah. (2017). ANALISIS PENYEBAB BENCANA ALAM BANJIR YANG ADA DI WILAYAH INDONESIA. Banjarmasin.

Taslim, I., & Akbar, M. F. (2018). Rencana Kontinjensi Pengurangan Resiko Bencana Berbasis Komunitas Sebagai Arahan Pembangunan Berkelanjutan. Universitas Muhammadiyah Gorontalo.

Tone, R., Syafriny, R., & Tarore, R. (2022). KAJIAN KAWASAN BERPOTENSI BANJIR DAN MITIGASI BENCANA BANJIR PADA DAERAH ALIRAN SUNGAI (DAS) SANGKUB DI KECAMATAN SANGKUB KABUPATEN BOLAANG MONGONDOW UTARA. Jurnal Fraktal, 7(2), 10–19.

Trinanda, R. S. (2021). Studi Pemetaan Daerah Rawan Banjir Dengan Metode Skoring Dan Pembobotan Di Kelurahan Besar dan Kelurahan Tangkahan, Medan Labuhan. Universitas Muhammadiyah Sumatera Utara.

Utomo, S. B., Mananoma, T., & Sumarauw, J. (2020). Analisis Debit Banjir Dan Tinggi Muka Air Sungai Biyonga Kecamatan Limboto Kabupaten Gorontalo. Jurnal Sipil Statik, 8(5), 725–730.


DOI: http://dx.doi.org/10.31314/juik.v3i2.2438

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