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All Journal Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian JTSL (Jurnal Tanah dan Sumberdaya Lahan)

Heinrich Rakuasa

Departemen Geografi FMIPA Universitas Indonesia

Author-ID : 5688680

Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Environmental Science

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Articles

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

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

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

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.

Pemetaan Daerah Rawan Banjir di Kota Ambon Menggunakan Sistim Informasi Geografis Heinrich Rakuasa; Joseba Kristina Helwend; Daniel Anthoni Sihasale
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 19, No 2 (2022)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v19i2.34240

Bencana banjir terjadi hampir setiap tahun di Kota Ambon dan mengingat besarnya dampak dan jumlah korban yang dapat ditimbulkan maka pemetaan daerah rawan banjir merupakan dasar untuk memberikan informasi tentang strategi mitigasi risiko banjir. Penelitian ini bertujuan untuk menganalisis kawasan rawan banjir dan juga memprediksi kawasan permukiman yang berada di kawasan rawan banjir di Kota Ambon. Penelitian ini menggunakan metode Multicriteria Evaluation (MCE) bagi pengambil keputusan dalam menentukan bobot dan metode yang sesuai serta menggunakan Weighted Linear Combination (WLC) dalam menganalisis daerah rawan banjir. Hasil penelitian menunjukkan bahwa Kecamatan Teluk Ambon memiliki wilayah terluas pada setiap kelas kerawanan banjir di Kota Ambon dibandingkan dengan kecamatan lainnya, hal ini dikarenakan kecamatan tersebut merupakan yang terbesar di Kota Ambon. Sedangkan luas lahan pemukiman yang tersebar pada kawasan kelas kerawanan tinggi memiliki persentase luas paling besar yaitu 2.222,06 ha. Sebaran permukiman pada kelas kerawanan sedang seluas 2.214,67 ha yang tersebar di lima kecamatan di Kota Ambon. Sedangkan kawasan terbangun yang berada pada tingkat kerawanan sedang adalah 0,39 ha. Salah satu bentuk antisipasi dan mitigasi bencana banjir adalah dengan memperkirakan seberapa luas lahan terbangun pada kawasan rawan banjir untuk meminimalkan kerugian, baik korban jiwa maupun kerusakan fisik

Co-Authors Daniel Anthoni Sihasale Daniel Anthoni Sihasale Joseba Kristina Helwend Melianus Salakory Philia Christi Latue Pinoa, W S S Supriatna Tambunan, Mangapul Parlindungan

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