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All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan)
Melianus Salakory
Program Studi Pendidikan Geografi, FKIP, Universitas Pattimura
Agriculture, Biological Sciences & Forestry Environmental Science

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ANALISIS SPASIAL DAERAH POTENSI RAWAN LONGSOR DI KOTA AMBON DENGAN MENGGUNAKAN METODE SMORPH Heinrich Rakuasa; S Supriatna; Mangapul Parlindungan Tambunan; Melianus Salakory; Wiclif. S. Pinoa
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 2 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.731 KB) | DOI: 10.21776/ub.jtsl.2022.009.2.2

Abstract

The geographical condition of Ambon City, which is 75% a hilly area resulted in most communities building in marbled areas with slopes above 20%, which has the potential to threaten life and landslide disasters. This study simply looked at the influence of slopes and slope shapes in Ambon City that can be analyzed using geographic information systems (GIS) to map areas that have the potential for landslides. Identification and mapping of potential landslide areas have an important role as an effort in overcoming and anticipating the occurrence of landslide disasters. This study aimed to analyze the spread of potential landslide areas in Ambon City based on the results of SMORPH modeling. The study used the slope morphology or SMORPH method, which has a better degree of accuracy than the Storie Index and SINMAP methods to identify and classify potential landslide areas based on the matrix between slope shape and slope angle. This study resulted in 4 levels of landslide potential areas, namely very low, low, medium and high potential. Areas with high landslide potential dominate the northern and southern parts of Ambon City. In the region, most landslides occur in the form of sunken and convex slopes. The region has a hilly and mountainous topography with a steep slope. The results of this research using the SMORPH method can illustrate that the slope of the increasingly higher slope accompanied by the shape of a convex or concave slope will cause the potential for landslides that are higher in the region.
ANALISIS DAN PREDIKSI PERUBAHAN TUTUPAN LAHAN MENGGUNAKAN MODEL CELULAR AUTOMATA-MARKOV CHAIN DI DAS WAE RUHU KOTA AMBON Heinrich Rakuasa; Melianus Salakory; Philia Christi Latue
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 2 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.959 KB) | DOI: 10.21776/ub.jtsl.2022.009.2.9

Abstract

The geographical location of the Wae Ruhu watershed is in Sirimau District, which is the sub-district with the largest population in Ambon City and is also the center of economic, educational, and industrial activities; this creates economic and population growth that has the potential to trigger land conversion around this area. This study aimed to analyze land cover changes in Ambon City in 2012, 2017, 2022 and predict land cover in 2031. This study used Cellular Automata Markov Chains modeling to predict land cover changes in 2031. The results showed that the types of land cover are built and land cover. The open area continues to increase in area, while agricultural and non-agricultural areas continue to experience a decrease in area, and water bodies do not experience a decrease or increase in area. The results of land cover predictions in 2031 showed that the built-up area is 345.79 ha, open land is 121.18 ha, agricultural land is 657.35 ha, non-agricultural land is 507.65 ha, and water bodies are 11.46 ha. The results of this study are expected to be used as a reference in making policies related to spatial planning and utilization, especially the Wae Ruhu watershed and can optimize sustainable watershed management as the first step in efforts to mitigate natural disasters.
Co-Authors Heinrich Rakuasa Philia Christi Latue Pinoa, W S S Supriatna Tambunan, Mangapul Parlindungan