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Hydrological Modeling in the Capluk Watershed, Rembang Regency for Evaluation of Spatial Patterns Harini, Sri; Tjahjono, Boedi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 14 No 4 (2024): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.14.4.801

Abstract

Rembang Regency has little annual rainfall, ranging from 1,000 to 2,000 mm. The Capluk Watershed in Rembang is the only one with a discharge station. The average rainfall of the watershed in 2011 to 2020 is relatively low (1,877 mm/year). Moors are the dominant land use in the watershed, so the watershed is prone to drought. This study aims to assess the water balance and land use planning to reduce water deficits. The FJ Mock modeling method is used to understand hydrological phenomena, where the results can help manage water resources by regulating land use by utilizing the exposed surface parameters in the model. The results show that the demand for water in the watershed for the 2011 to 2020 period reaches an average of 49,151,012 m3/year, while the availability of water is 132,512,172 m3/year. This condition shows that the total water balance experiences an average surplus of 83,361,160 m3/year but experiences a deficit in the dry season, an average of 3,452,278 m3/year. For land use planning, scenario 5 (a combination of regionalspatial plan maps, forest area maps, general plan for forest and land rehabilitation maps, and land use in 2020) is the best in reducing the water deficit by 20,383,274 m3 or can lower the water deficit to 4,957,173 m3.
Bibliometric Analysis of Tourism Development Based on Disaster Mitigation Through the Scopus Database Z. Karim, Taufik; Siregar, Hermanto; Mulatsih, Sri; Tjahjono, Boedi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 14 No 4 (2024): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.14.4.719

Abstract

Perkembangan industri pariwisata dunia dalam kehidupan sehari-hari masih berfokus pada keindahan daya tarik wisata dan pendapatan perekonomian suatu negara, namun pada saat yang sama masih mengabaikan kondisi krisis seperti bencana di kawasan wisata. Oleh karena itu, mitigasi bencana diharapkan dapat memberikan edukasi kepada masyarakat dan wisatawan agar dapat bersiap jika terjadi bencana. Metode penelitian menggunakan analisis bibliometrik, dan pengambilan literatur dilakukan secara cermat menggunakan database Scopus pada tanggal 22 Agustus 2023 dengan strategi pencarian khusus, dengan topik pariwisata dan mitigasi bencana. Berdasarkan hasil penelusuran, ditemukan sekitar 48 artikel. Hasil penelitian menunjukkan negara yang paling banyak menghasilkan tulisan ilmiah tentang pariwisata dan mitigasi bencana adalah india dengan 49 artikel, disusul China dengan 16 artikel, Amerika Serikat dengan 12 artikel, Jepang dengan 5 artikel, India dan Inggris dengan 4 artikel. . Hasil tersebut menunjukkan bahwa penulis Indonesia dapat berkontribusi secara global pada tema pariwisata dan mitigasi bencana.
The Strategy for Developing an Arabica Coffee Plantation-Based Area in Banyumas Regency Hakim, Dede Nurrahman; Tjahjono, Boedi; Hartono, Arief
Eduvest - Journal of Universal Studies Vol. 4 No. 7 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i7.1572

Abstract

The Gross Regional Domestic Product (GRDP) of Banyumas Regency has increased over the past 5 years, with the largest contributor to the Gross Value Added category being the Agriculture and Forestry sector. Arabica coffee varieties are one of the mainstay commodities in the region and a source of income for the people of Kabupaten Banyumas. The main objective of this research is to develop a strategy in planning the development of arabica coffee plantation area in Kabupaten Banyumas. The research area covers all 29 sub-districts starting from January to April 2024. In looking at the actual distribution of arabica coffee plantations, overlay analysis techniques were used using data from land use maps, elevation maps. Land availability was analyzed through overlay and matching techniques with ArcGIS software and direct measurement. Arabica coffee agribusiness system was analyzed through R/C ratio descriptively. The development strategy of Arabica coffee plantation area in Banyumas Regency was conducted using AWOT analysis. The results showed that the actual distribution of arabica coffee plantations in the cultivation area in Banyumas Regency covers several sub-districts and the area reaches 1,214 ha. Available and suitable land for the development of arabica coffee plantation in the cultivation area is indicated to reach an area of 20,471 ha, of which the largest area is located in Lumbir Sub-district with an area of 3,726 ha or 18.09% of the total available land area.
IDENTIFIKASI KARAKTERISTIK POLA SPASIAL HULU HILIR PADI ORGANIK DI KABUPATEN SERDANG BEDAGAI Annajmi, Nabila; Tjahjono, Boedi; Anwar, Syaiful
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 1 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.1.2

Abstract

Organic agriculture must be applied in an integrated manner, from upstream to downstream, forming a system. This subsystem is part of the market-oriented agribusiness concept by paying attention to quantity, quality, and continuity to gain income and agricultural productivity profits. This study aimed to look at the development of organic rice farming in the Serdang Bedagai Regency from a regional (spatial), agribusiness, and economic point of view. ANN analysis involves distance variables between agribusiness subsystems, road infrastructure, and transportation. The results of the analysis showed that the spatial pattern of organic rice formed in the Serdang Bedagai Regency was distributed, especially in Lubuk Bayas Village and Tanah Merah Village, with each having a value of R = 2.81 (R> 1) and R = 6.15 (R>1). Pematang Setrak Village had a clustered spatial pattern or had a value of R = 0.12 (R<1). This shows that the closer the locations between the subsystems are, the more profitable it is, thus saving production and transportation costs. The gains obtained were strengthened by the results of the R/C ratio produced, namely Tanah Merah Village with a value of 1.36, Lubuk Bayas Village with a value of 1.39, and Pematang Setrak Village with a value of 1.48. This means that farming activities are pretty efficient.
Analisis Bahaya Longsor Berdasarkan Sistem Informasi Geografis di Kabupaten Sumedang Fadillah, Rakhmad; Tjahjono, Boedi; Dwiyanti, Fifi Gus
Jurnal Penelitian Pendidikan IPA Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10iSpecialIssue.8354

Abstract

Sumedang Regency has a hilly landscape, making it one of the 13 cities/regencies in West Java Province that are prone to landslides. A total of 80 landslide incidents were recorded from 2019 to 2023. These landslides resulted in 45 fatalities, 53 injuries, and damage to 317 infrastructure units. This situation indicates the importance of conducting an analysis of landslide hazard distribution. The landslide hazard distribution analysis is carried out using a weighting and scoring method on the parameters used, which include: slope gradient, rainfall, actual land cover, landform, lithology, and soil type. Based on these parameters, four landslide hazard classes were identified in Sumedang Regency: low, medium, high, and very high hazard classes. Proportions of these hazard are as follows: high hazard class (42.24%), medium hazard class (40.38%), low hazard class (13.90%), and very high hazard class (3.49%). The low hazard class is mainly found in the northern part of Sumedang Regency, the medium hazard class is widespread in sloping areas, and the high to very high hazard classes are primarily found in the Tampomas mountains and areas with hilly landforms. Slope gradient and rainfall are the factors that most influence landslide hazards, making it necessary to design appropriate mitigation.
ANALISIS PERBANDINGAN SEGMENTASI OMN DAN RGO DALAM PENDEKATAN OBIA UNTUK KLASIFIKASI PENUTUPAN DAN PENGGUNAAN LAHAN DI KABUPATEN SUMEDANG Ardiansyah, Muhammad; Tjahjono, Boedi; Oktaviani, Niken Dwia
Jurnal Ilmu Tanah dan Lingkungan Vol 27 No 2 (2025): Jurnal Ilmu Tanah dan Lingkungan
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitl.27.2.131-139

Abstract

Information on land cover and land use plays an important role in biophysical regional analysis, spatial planning, resource management, and the formulation of sustainable development policies. To support these needs, accurate remote sensing image classification is crucial. The Object-Based Image Analysis (OBIA) approach is considered superior to pixel-based classification, as it provides higher accuracy and minimizes the salt-and-pepper effect. The success of object-based classification is influenced by the segmentation method employed. In this study, two segmentation approaches, namely Original Multiresolution Segmentation (OMN) and Region Grow on Object (RGO), were examined based on combinations of segmentation parameters and evaluated for accuracy using the Random Forest (RF) classification algorithm. The segmentation results indicate that the OMN approach produces smaller and more detailed objects, though they tend to be fragmented, whereas the RGO approach generates larger and more generalized objects with greater spatial stability. Based on object-based classification using RGO segmentation with a scale parameter of 0.5, seven land cover and land use classes were identified, with three dominant categories: plantations (50,393 ha), bare land (29,658 ha), and rice fields (27,092 ha). The classification accuracy of RGO was consistently higher than OMN across all parameter configurations, with the rice field class showing close alignment with official BPS data from 2024, which recorded an area of 30,038 ha. These findings demonstrate that the RGO approach is more effective in producing representative segmentation and classification for land use mapping.
Co-Authors A Kasno A.A. Ketut Agung Cahyawan W Abdjad Asih Nawangsih Achmad, Alfredian Alamin Yang First Alfin Murtadho Amalia Ratnasari Andini Tribuana Tunggadewi, Andini Tribuana Andrea Emma Pravitasari, Andrea Emma Annajmi, Nabila ANTONIUS KASNO Asdar Iswati Atang Sutandi Aufa H. A. Syafril, Aufa H. A. Baba Barus Bambang Hendro Trisasongko Bambang Hero Saharjo Beata Ratnawati Budi Marwoto Chiharu Hongo, Chiharu D.P. Tejo baskoro Darmawan Despry Nur Annisa Ahmad, Despry Nur Annisa Diah Listyarini Dinik Indrihastuti Dinik Indrihastuti Dwi Putro Tedjo Baskoro Dwi Putro Tejo Baskoro Dwi Shanty Apriliani Gunadi Dyah R Panuju Dyah R. Panuju Dyah R. Panuju Edwin Hidayat, Edwin Ema Suhaema Enni Dwi Wahjunie Ernan Rustiadi Euis Sunarti Fadillah, Rakhmad Febria Heidina, Febria Fifi Gus Dwiyanti Firdiana, Indah Giofandi, Eggy Arya H.A. Syafril, H.A. Hakim, Dede Nurrahman Hanudin Hanudin Hari Wijayanto Haris, Fikri Dwi Hermanto Siregar Hidiya, Miesriany I Nengah Surati Jaya Ikqra Ikqra Ilham iwan Tona Imas Sukaesih Sitanggang Irzaman, Irzaman Iskandar Lubis Khursatul Munibah Komarsa Gandasasmita Kukuh Murtilaksono Kukuh Murtilaksono Kukuh Murtilaksono Lailan Syaufina Lia Meyana LILIK BUDIPRASETYO Luluk Dwi Wulan Handayani M. Galih Permadi Mahir Rachman, Latief Mahmud A. Raimadoya Mahmud A. Raimadoya Mazlan Muhaimin Muhaimin Muhamad Rizal Gojali Muhammad Ardiansyah Muhammad Fitrah Irawan Muhammad Pramulya Muya Avicienna Nabila Annajmi NINA WIDIANA DAROJATI Nuniek Sutanti Nurwajedi Nurwajedi Oktaviani, Niken Dwia Panuju, Dyah R. Rival Rahman, Rival Rusdi Mahardi Sakti, Harry Hardian SANTUN R.P SITORUS Santun R.P Sitorus Saputra, Roby Sigit, Gunardi Siti Faizah Zauhairah Sobri Effendy Sri Harini Sri Mulatsih Sumardani Kusmajaya Supriyati Supriyati Supriyati Supriyati Suria Darma Tarigan Susanti, Dwi Rahayu Syaiful Anwar Turmudi Uciningsih, Winda Untung Sudadi Wicaksono Tri Wuryanto Widiatmaka Wistha Nowar Z. Karim, Taufik Zulham Husein