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All Journal Journal of Degraded and Mining Lands Management Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Information Systems and Informatics ULIN: Jurnal Hutan Tropis Advance Sustainable Science, Engineering and Technology (ASSET) MAKILA: Jurnal Penelitian Kehutanan Agroland: Jurnal Ilmu-ilmu Pertanian
Baharuddin, Rhamdhani Fitrah
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Materials Science & Nanotechnology Physics

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Flood vulnerability analysis using geographic information system in the core zone of the Lore Lindu biosphere reserve, Indonesia Suni, Muhammad Adam; Rahmawati, Ani; Muis, Hasriani; Maarif, Fadjri; Baharuddin, Rhamdhani Fitrah
Journal of Degraded and Mining Lands Management Vol. 12 No. 1 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.121.6887

Abstract

Floods are caused by the accumulation of several factors, such as global warming, climatological characteristics, hydrology, and physical conditions of an area. The purpose of this study was to map the level of flood vulnerability in the core zone of the Lore Lindu Biosphere Reserve using geographic information system (GIS) based spatial analysis with scoring and overlay. The research parameters consisted of rainfall, elevation, slope, soil type, land cover, and distance from the river. This research was conducted in the core zone divided into 13 subdistricts and 2 regencies. The results of the classification of flood vulnerability levels are divided into 4 (four) categories: not prone, low vulnerability, moderate vulnerability, and high vulnerability. The results of the analysis show that the core zone of the Lore Lindu biosphere reserve is dominated by a non-hazardous site with an area of 145,018’28 ha (67.23%), a low vulnerability zone of 65,430.10 ha (30.33%), a moderate vulnerability zone of 5,025.29 ha (2.33%), and a high vulnerability zone of 245.99 ha (0.11). Areas with a high level of vulnerability are at low elevations with flat to gentle slopes. Most land use is dominated by water, mining, and open land without vegetation and is located around rivers.
Spatial Analysis of Changes in Normalization Differences Vegetation Index in Protected Forest Areas of South Lore District, Poso Regency Suni, Muhammad Adam; Basoka, Muhammad Darmawan; Rafiq, Muhammad; Umar, Mohamad Fahrul Himalaya; Muis, Hasriani; Baharuddin, Rhamdhani Fitrah; Agusman, Agusman
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.577

Abstract

Detection of changes in vegetation density generally uses the vegetation index parameter. The value of the vegetation index can provide information on the proportion of vegetation cover, live plant index, plant biomass, cooling capacity, and estimation of carbon dioxide absorption. This study aims to analyze changes in the level of vegetation density using Sentinel 2-A imagery in the protected forest area of South Lore District. This study used the method of calculating the Normalized Difference Vegetation Index (NDVI) to identify changes in density over 5 years. The results of the NDVI analysis are the largest in the range of -0.92960 to 0.871725. The vegetation density class in the Protected Forest Area of South Lore District in 2017 is in the dense class with an area of 15,322.24 Ha or around 47.66%, while the smallest in the non-vegetation class, which is 103.11 Ha or 0.32%, while the largest vegetation density class is in the Protected Forest Area of South Lore District in 2022, namely in the medium/quite dense class with an area of 19,948.18 Ha or 62.01% while the smallest in the non-vegetation class of 219.17 Ha or 0.68%. The largest increase in area was in the moderate/quite dense class of 4,892.33 Ha or 15.20% while the largest decrease in area was in the dense class with an area of 6,651.16 Ha or 20.67% of the total area of the Protected Forest Area of South Lore District.
Tingkat Kerawanan Kebakaran di Kawasan Hutan Lindung Kecamatan Kinovaro KPH Kulawi Akhbar, Rahmat Kurniadi; Baharuddin, Rhamdhani Fitrah
Agroland: Jurnal Ilmu-ilmu Pertanian Vol 31 No 3 (2024): Desember
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/agrolandnasional.v31i3.2353

Abstract

Hutan lindung berfungsi sebagai perlindungan sistem penyangga kehidupan (mengatur tata air, mencegah banjir, mengendalikan erosi, mencegah intrusi air laut, dan memelihara kesuburan tanah). Walaupun demikian, masalah kebakaran selalu mengancam keberadaan hutan yang terjadi secara berulang setiap tahun sehingga menjadi salah satu isu nasional dan regional. Penelitian ini bertujuan untuk menganalisis secara spasial tingkat kerawanan kebakaran hutan dengan lokasi kajian di kawasan hutan lindung wilayah KPH Kulawi Kecamatan Kinovaro Kabupaten Sigi menggunakan metode deskriptif dengan pendekatan simulasi sistem spasial dengan memanfaatkan teknologi GIS dan pengecekan lapangan untuk memastikan kondisi unsur-unsur kelerengan, tutupan vegetasi/penggunaan lahan, intensitas curah hujan, peta jarak antar jalan dan pemukiman, serta aktifitas perlindungan dan pengamanan hutan. Sehingga mendapatkan hasil analisis spasial berdasarkan 4 kelas yaitu kelas ‘rendah’, kelas ‘sedang’, kelas tinggi’ dan kelas ‘sangat tinggi’. Sesuai hasil Nilai skoring yang masuk dalam kategori rendah yaitu 48 - <70 seluas 392,49 ha, sedang 70 - <91 seluas 1.346,58 ha, tinggi 91 - <113 seluas 2.100,38 ha dan sangat tinggi >113 seluas 0,71 ha.
Dinamika interaksi stakeholder dalam pengelolaan Wisata Alam Maima Kabupaten Sigi Maiwa, Arman; Rahman, Abdul; Golar, Golar; Baharuddin, Rhamdhani Fitrah; Hulu, Amati Eltriman
ULIN: Jurnal Hutan Tropis Vol 9, No 1 (2025)
Publisher : Fakultas Kehutanan Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32522/ujht.v9i1.14908

Abstract

Kabupaten Sigi, Sulawesi Tengah, memiliki potensi wisata alam yang strategis di Desa Lawua, terutama objek wisata Alam maima. Pengelolaan destinasi ini melibatkan berbagai pemangku kepentingan, termasuk Pemerintah Desa, BUMDES Lawua, POKDARWIS, dan BBTNLL. Penelitian ini bertujuan menganalisis strategi kolaborasi pengelolaan Wisata Alam maima. Metode yang digunakan dalam penelitian ini adalah 4Rs untuk melihat peran stakeholder, analisis pengaruh dan kepentingan untuk melihat tingkat pengaruh dan kepentingan stakeholder dan deskriptif kuantitaif untuk menggambarkan dinamika yang terjadi dalam pengelolaan wisata alam maima. Hasil penelitian ini menemukan bahwa terdapat 13 (tiga belas) stakeholder yang mempunyai tingkat pengaruh maupun kepentingan yang berbeda dalam pengelolaan wisata alam maima, 4 (empat) stakeholder diantaranya masuk kedalam stakeholder kunci antara lain pemerintah desa, BUMDES Lawua, POKDARWIS dan Juga BBTNNL. terdapat beberapa kendala dalam pengelolaan objek wisata ini misalnya kendala akses jalan, infrastruktur dan juga masalah lingkungan. Kendala ini dapat diselesaikan dengan beberapa kegiatan bersama seperti melakukan pengelolaan lingkungan bersama berdasarkan pembagian peran. Pengembangan infrastruktur dan aksesibilitas serta membangun kemitraan pengembangan kemitraan dalam bentuk pengembangan fasilitas dab pelayanan objek wisata maima.
Land Cover Classification Using Sentinel 2A Image in Lore Lindu National Park Area, Central Sulawesi Suni, Muhammad Adam; Maarif, Fadjri; Basoka, Muhammad Darmawan; Rafiq, Muhammad; Baharuddin, Rhamdhani Fitrah
MAKILA Vol 19 No 1 (2025): MAKILA: Jurnal Penelitian Kehutanan
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/makila.v19i1.17651

Abstract

Land cover within Lore Lindu National Park is undergoing a continuous transformation driven by both natural processes and anthropogenic pressures. Accurate mapping and classification of land cover types are critical for informed conservation planning and sustainable ecosystem management. This study aims to assess the effectiveness of Sentinel-2A satellite imagery combined with the supervised Maximum Likelihood Classification (MLC) method in delineating land cover types within the Lore Lindu National Park, Central Sulawesi. The research was conducted from August to December 2023 and involved four primary stages: image pre-processing through layer stacking, land cover classification, field verification (ground truthing), and accuracy assessment. The classification results yielded an Overall Accuracy (OA) of 83.75%, indicating a high level of reliability. A total of fifteen distinct land cover classes were identified, with secondary dryland forest occupying the most significant proportion of the area (approximately 80.60%), followed by primary dryland forest, plantation areas, and smaller fractions of rice fields, mining zones, and water bodies. These findings underscore the utility of Sentinel-2A imagery, in conjunction with the Maximum Likelihood algorithm, as a dependable tool for land cover mapping in tropical protected environments. The results provide a valuable spatial basis for developing targeted conservation strategies and enhance the understanding of landscape dynamics within the park.
The Role of Educational Forests in Community Empowerment and Climate Change Mitigation: A Case Study at Tadulako University Rosyid, Abdul; Golar; Setiawan, Budi; Baharuddin, Rhamdhani Fitrah; Hamka
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.11295

Abstract

Educational Forests are greatly needed by higher education institutions, especially those studying forestry. Various activities can be carried out by students, lecturers, and related parties to be involved in research in order to develop science and knowledge so that they can make real contributions, and empower communities around forest areas to be competitive so that they do not have a high enough value for forest resources, especially wood forest products. In addition, the existence of educational forests is considered capable of mitigating climate change at a micro level. The research was conducted in the Tadulako University Educational Forest as shown in the picture above. The stages of this research consist of two, namely a ground check by taking random samples of trees. Then the second is to identify local community wisdom using qualitative methods with the Rapid Rural Appraisal approach. This research was conducted in the Tadulako University Educational Forest with a direct observation approach. The results of this study found that the land in the forest is still maintained by implementing a forestry system in the form of, where the community utilizes the forest by taking non-timber forest products, rattan, and air ecosystem services.
The Analysis of Habitat Suitability for Macaca Tonkeana in the Pangi Binangga Natural Reserve of West Toboli Village Using SIG and PCA Approach Susianti, Siti; Muis, Hasriani; Misrah, Misrah; Akhbar, Akhbar; Arianingsih, Ida; Baharuddin, Rhamdhani Fitrah; Hulu, Amati Eltriman
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18798

Abstract

The boti monkey, also known by its scientific name Macaca tonkeana, is a type of endemic primate found on Sulawesi Island. This study aims to determine the suitability of Macaca tonkeana habitat by using spatial analysis methods to determine the most suitable areas for survival. The study used a sample of locations conducted by observation method. The data collected was then spatially analysed by overlaying, classing, weighting, and scoring. PCA analysis was used to classify variables and assign weights to each parameter. Based on the habitat suitability model developed, the study sites were classified into three suitability levels: low, medium and high. Low suitability with an area of 9.475621 ha (0.374%). Medium suitability with an area of 461.777729 ha (18.184 %). High suitability with an area of 2065.896076 ha (81.442%). The model validation showed that most of the validation points were located within the high suitability class, with 92.59% of the total validation points. This indicates that the study site is likely to be a highly suitable habitat for Boti Monkeys.
Co-Authors Abdul Rahman Abdul Rosyid Agusman, Agusman Akhbar Akhbar Akhbar, Rahmat Kurniadi Ani Rahmawati Arman Maiwa Basoka, Muhammad Darmawan Budi Setiawan Golar Golar Hamka Hasriani Muis Hulu, Amati Eltriman Ida Arianingsih Maarif, Fadjri Misrah Misrah Muhammad Adam Suni Muhammad Rafiq Suni, Muhammad Adam Susianti, Siti Umar, Mohamad Fahrul Himalaya