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All Journal Jurnal Ilmu Kehutanan Jurnal Geosaintek
Madani, Ilyas
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences

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Pemetaan Kerawanan Banjir di Daerah Aliran Sungai (DAS) Bendo Kabupaten Banyuwangi Berbasis Sistem Informasi Geografis Madani, Ilyas; Bachri, Syamsul; Aldiansyah, Septianto
Jurnal Geosaintek Vol. 8 No. 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

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Abstract

DAS Bendo adalah sebagian daerah yang berkontribusi terhadap kejadian banjir di Kabupaten Banyuwangi. Guna mengetahui tingkat kerawanan banjir di DAS Bendo dipakai parameter curah hujan, kemiringan lereng, jenis tanah, penggunaan lahan, ketinggian lahan, dan kerapatan sungai dalam penelitian ini. Metode scoring dan overlay digunakan untuk mengolah parameter melalui software ArcGIS 10.4 sehingga dapat dihasilkan peta tingkat kerawanan banjir. Peta yang dihasilkan cukup akurat dengan menunjukkan tiga tingkat kerawanan banjir di DAS Bendo yaitu tidak rawan, cukup rawan, dan sangat rawan. Daerah tidak rawan banjir berada di bagian hulu DAS sebesar 30%/12,0km2. Daerah rawan banjir sebesar 43%/17,3km2 berada pada bagian tengah DAS. Sementara itu, daerah sangat rawan banjir berada pada bagian hilir DAS sebesar 27%/10,7km2. Tingkat kerawanan banjir tersebut dominan dipengaruhi oleh kemiringan lereng di DAS Bendo.
Pemodelan Kesesuaian Habitat Mandar Gendang (Habroptila wallacii) di Pulau Halmahera, Indonesia Aldiansyah, Septianto; Madani, Ilyas; Risna, Risna; Saputra, Randi Adrian
Jurnal Ilmu Kehutanan Vol 19 No 2 (2025): September
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jik.v19i2.18437

Abstract

Drummer Rail (Habroptila wallacii) is a bird species of the Rallidae family with limited ecology and behavior information. The information on the distribution of H. wallacii in Halmahera Island is crucial as it is classified as a vulnerable species. Therefore, this research aims to predict the potential distribution of H. wallacii on Halmahera Island using the Maximum Entropy (MaxEnt) modeling method, which projects species distributions based on presence data and environmental variables. A total of 47 data points on H. wallacii encounters were obtained from open-access data sources and field observation. The variables used were land use land cover (LULC), normalized difference vegetation index (NDVI), elevation, slope, and proximity data (river). The results showed that 33.52% of the area was very suitable for H. wallacii habitat, 32.97% was suitable, and 33.50% was unsuitable. Approximately 29.39% of the suitable habitat was located in limited-production forest areas, while conservation areas covered only 5.19%. These results suggested the need to review spatial planning policies to increase protection of the natural habitat of the species. The results could serve as considerations and recommendations for the Ministry of Environment and Forestry regarding the future management of forest areas for these species.
Co-Authors Aldiansyah, Septianto Risna Risna, Risna Saputra, Randi Adrian Syamsul Bachri