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All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan)
Philia Christi Latue
Departemen Biologi, Fakultas Biologi, Universitas Pedagogis Negeri Herzen Rusia
Agriculture, Biological Sciences & Forestry Environmental Science

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ANALISIS SPASIAL DAERAH RAWAN BANJIR DI DAS WAE HERU, KOTA AMBON Heinrich Rakuasa; Philia Christi Latue
Jurnal Tanah dan Sumberdaya Lahan Vol. 10 No. 1 (2023)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.727 KB) | DOI: 10.21776/ub.jtsl.2023.010.1.8

Abstract

The intensity of the high rainfall resulted in the overflow of the Wae Heru watershed, which resulted in a catastrophic flood that hit residential areas around the watershed. This study aimed to analyze spatially the level of flood hazard and its exposure to settlements in the Wae Heru watershed, Ambon City. This research used overlay technique, scoring method and weighting using ArcMap 10.8 software as a Geographic Information System (GIS) based approach. The variables used included rainfall, elevation, slope, soil type, land cover and distance from the river. The results showed that the flood hazard level was dominated by a low hazard level of 361.28 ha and the flood exposure level in settlements was dominated by a high hazard area of 54.68 ha. The results of the study are expected to be useful in flood mitigation efforts to minimize losses, both fatalities and physical damage.
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.
MODEL TUTUPAN LAHAN DI DAERAH ALIRAN SUNGAI KOTA AMBON TAHUN 2031MODEL TUTUPAN LAHAN DI DAERAH ALIRAN SUNGAI KOTA AMBON TAHUN 2031: STUDI KASUS DAS WAI BATU GANTUNG, WAI BATU GAJAH, WAI TOMU, WAI BATU MERAH DAN WAI RUHU Heinrich Rakuasa; Daniel Anthoni Sihasale; 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 (2255.637 KB) | DOI: 10.21776/ub.jtsl.2022.009.2.29

Abstract

Changes in land use/land cover (LULC) in watersheds of Ambon City are influenced by human activities,mostly driven by socio-economic factors. Changes in land use/land cover (LULC) in the watershed in thecenter of Ambon City have the potential to trigger land-use change which will have an impact on landdegradation, water pollution, flooding, and erosion which will increase in the future. Therefore, theutilization and efficiency of land cover in the watershed area must be increased based on rational land cover planning. The objectives of this study were to analyze land cover changes in watersheds in Ambon City in 2012, 2017, and 2022 and predict land cover in 2031. This study used Cellular Automata Markov Chan (CA-MC) and six factors driving the development of settlements. The results showed that from 2012, 2017, and 2022, the land cover for settlements and open land in the watershed in Ambon City continued to increase, while the land cover for non-agricultural areas and agricultural areas decreased in the area. In 2031, residential land has an area of 1,863.34 ha; this is because the residential land cover will continue to increase along with population growth and high demand for land in watersheds.
Co-Authors Daniel Anthoni Sihasale Heinrich Rakuasa Heinrich Rakuasa Melianus Salakory