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Pelatihan Sistem Informasi Geografis sebagai upaya peningkatan kapasitas pejabat pengendali ekosistem hutan Taman Nasional Bukit Baka Bukit Raya Putri, Erisa Ayu Waspadi; Latifah, Siti; Riyono, Joko Nugroho
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 2 (2024): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i2.2014

Abstract

Perguruan tinggi merupakan masyarakat akademis yang diharapkan dapat menjembatani perkembangan iptek beserta implementasinya terhadap kebutuhan masyarakat. Salah satu perwujudan amanat tersebut adalah pelaksanaan kegiatan pengabdian kepada masyarakat untuk meningkatkan kapasitas penguasaan konsep dan ketrampilan Sistem Informasi Geografis (SIG) Pejabat Pengendali Ekosistem Hutan (PEH) di lingkungan Taman Nasional Bukit Baka Bukit Raya (TNBBBR). SIG merupakan teknologi yang mampu dimanfaatkan dalam pengelolaan, penyimpanan, pemrosesan, dan visualisasi data spasial dimana sangat penting dalam mendukung perencanaan, monitoring maupun pengambilan keputusan terkait dengan permasalahan PEH. Kegiatan pelatihan SIG tingkat dasar dilaksanakan secara intensif terhadap 12 orang Pejabat PEH TNBBBR. Materi yang disampaikan meliputi penjelasan teoretis, pendampingan praktik langsung terhadap tiga materi pembuatan peta, dan diakhiri dengan evaluasi kegiatan. Evaluasi menunjukkan peserta merasa puas dengan keseluruhan konten juga penyampaian materi dan pendampingan praktik, serta berharap untuk dilaksanakan pelatihan lanjutan dengan materi yang lebih implementatif dan relevan dengan permasalahan di lapangan terkait dengan pekerjaan seorang PEH.
Rehabilitation of disturbed land in bauxite mining: Challenges and prospects in Sanggau, West Kalimantan, Indonesia Wanda, Wanda; Akbar, Aji Ali; Putri, Erisa Ayu Waspadi; Suhartoyo, Aji
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9259

Abstract

Bauxite is the primary raw material for aluminum production, and its mining activities are widespread, including in Indonesia. However, land cover changes caused by bauxite mining can significantly disrupt ecosystem balance. This study aimed to analyze land cover change rehabilitation strategies in response to bauxite mining in Sanggau Regency, Indonesia. Using Geographic Information Systems (GIS) with an overlay technique, land cover data from 2009, 2015, 2022, and 2024, along with soil quality data, were examined. The findings indicate that between 2009 and 2024, approximately 4,363.52 hectares of land were converted into mining areas, including swamp shrubland (308.67 ha), secondary swamp forest (289.28 ha), plantations (74.01 ha), primary dryland forest (3,318.92 ha), and open land (190.99 ha). Recommended rehabilitation strategies include the application of red mud waste mixed with cattle manure as fertilizer, as well as the use of cocopeat as a topsoil substitute to enhance soil quality.
THE MAPPING OF TEA HARVESTING AREA USING PLANETSCOPE IMAGERY Prihantarto, Wikan Jaya; Ismail, Muhammad; Purnamasari, Eva; Anggraini, Kurnia; Putri, Erisa Ayu Waspadi; Frananda, Hendry; Setiawati, Indah
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.95

Abstract

The identification of tea harvesting areas is an important part of tea culture. The use of satellite imagery for this application offers effectiveness. PlanetScope imagery has the advantage of high spatial, spectral, and temporal resolution and is widely used in agricultural and plantation studies. The objective of this study was to map tea pruning areas in the Danau Kembar Tea Plantation, Solok Regency, West Sumatra, using PlanetScope imagery. The images underwent radiometric, geometric correction and were then analyzed spectrally using the Normalized Difference Vegetation Index (NDVI) to obtain tea vegetation density classes. The image map resulting from this classification was used to identify the spatial distribution of harvesting and non-harvesting areas. The mapping results were validated by field surveys, and accuracy calculations were performed using the confusion matrix method. The findings showed that 250.50 hectares or 90.37% of the study area, are harvesting areas, with mapping accuracy reaching 84.0%. This study can provide an important reference for monitoring plantation land management, production estimation, and tea harvesting.