Analisis Spasial dan Biogeofisik dalam Pemilihan Lokasi Kebun Benih: Studi Kasus PT. ITCI Kalimantan Timur
DOI:
https://doi.org/10.71024/agroinovasi.2025.v2i1.140Keywords:
Geographic information system, slope gradient, buffer, intersect, seed gardenAbstract
This study aims to determine the potential location of seed gardens in the HPH area of PT ITCI, East Kalimantan, through spatial data analysis based on Geographic Information Systems (GIS). The main data used is the Digital Elevation Model (DEM) which has been converted from the Triangulated Irregular Network (TIN) form to raster for surface analysis purposes. The analysis process includes slope classification into five classes, area cutting (clip), raster data regrouping (reclassify), conversion to polygon form, and spatial overlay using the buffer and intersect functions. The results of the analysis show that areas with gentle slopes (8–15%) dominate the study area with an area of 67,533.45 ha, followed by flat areas (0–8%) covering an area of 20,751.28 ha. Buffer analysis was carried out on rivers (150 meters) and roads (1,000 meters) to limit the management area, then continued with intersect operations to combine spatial variables such as the number of trees, level of stand damage, and administrative boundaries. Based on technical criteria, namely the number of trees more than 30 trees per hectare, minimal damage level, slope less than or equal to 15%, and a minimum area of 2 hectares, 30 land units were obtained that met the requirements as seed garden locations, with areas varying between 2 and 46 hectares. The three selected locations are the result of the integration of all land suitability parameters spatially.
Downloads
References
Basuki, A., Takumansang, E. D., & Tarore, R. C. H. (2020). Analisis tingkat lahan kritis berbasis SIG (sistem informasi geografis) di Kabupaten Banggai. Jurnal Spasial, 7(2), 186–194.
Cammerino, A. R. B., Ingaramo, M., Piacquadio, L., & Monteleone, M. (2023). Assessing and mapping forest functions through a GIS-based, multi-criteria approach as a participative planning tool: An application analysis. Forests, 14(5), 934. https://doi.org/10.3390/f14050934
Chen, Z., Chen, R., & Chen, S. (2021). Intelligent management information system of urban planning based on GIS. Journal of Intelligent & Fuzzy Systems, 40(4), 6007–6016. https://doi.org/10.3233/JIFS-191455
Gobinath, R., Ganapathy, G. P., Gayathiri, E., Salunkhe, A. A., & Pourghasemi, H. R. (2022). Ecoengineering practices for soil degradation protection of vulnerable hill slopes. In Computers in Earth and Environmental Sciences (pp. 255–270). Elsevier. https://doi.org/10.1016/B978-0-12-821754-4.00015-4
Hasan, M. (2012). Pemodelan spasial sebaran dan kesesuaian habitat spesies tumbuhan asing invasif kirinyuh (Austroeupatorium inulifolium (Kunth) R. M. King & H. Rob) di Resort Mandalawangi Taman Nasional Gunung Gede Pangrango [Skripsi tidak diterbitkan]. Institut Pertanian Bogor.
Istiawan, N. D., & Kastono, D. (2019). Pengaruh ketinggian tempat tumbuh terhadap hasil dan kualitas minyak cengkih (Syzygium aromaticum (L.) Merr. & Perry.) di Kecamatan Samigaluh, Kulon Progo. Vegetalika, 8(1), 27–41.
Kaliraj, S., Adhikari, K., Dharumarajan, S., Lalitha, M., & Kumar, N. (2024). Remote sensing and geographic information system applications in mapping and assessment of soil resources. In Remote Sensing of Soils (pp. 25–41). Elsevier. https://doi.org/10.1016/B978-0-12-821123-8.00002-7
Patel, R. (2025). Application and future prospects of geographic information system (GIS) in intelligent transportation. Transactions on Computational and Scientific Methods, 5(3). https://doi.org/10.5438/TC-SM-234
Sekeon, N. D., Rindengan, Y. D., & Sengkey, R. (2016). Perancangan SIG dalam pembuatan profil desa se-Kecamatan Kawangkoan. E-Journal Teknik Elektro dan Komputer, 5(1), 49–59.
Shelar, A., Nile, S. H., Singh, A. V., Rothenstein, D., Bill, J., Xiao, J., Chaskar, M., Kai, G., & Patil, R. (2023). Recent advances in nano-enabled seed treatment strategies for sustainable agriculture: Challenges, risk assessment, and future perspectives. Nano-Micro Letters, 15(1), 54. https://doi.org/10.1007/s40820-023-01056-w
Sunny, M. A. U. (2024). Unveiling spatial insights: Navigating the parameters of dynamic Geographic Information Systems (GIS) analysis. International Journal of Science and Research Archive, 11(2), 1976–1985. https://doi.org/10.29099/IJSRA-2415
Tahri, M., Kaspar, J., Vacik, H., & Marusak, R. (2021). Multi-attribute decision making and geographic information systems: Potential tools for evaluating forest ecosystem services. Annals of Forest Science, 78, 1–19. https://doi.org/10.1007/s13595-021-01022-4
Wartika, Wahyuni, W., Hasti, N., Pangaribuan, I., & Nurpalah, A. (2025). Web-based geographic information system to determine the location of UMKM (Case study in the Central Antapani region). AIP Conference Proceedings, 3200(1), 040013. https://doi.org/10.1063/5.0005608
Wibowo, K. M., Kanedi, I., & Jumadi, J. (2015). Sistem informasi geografis (SIG) menentukan lokasi pertambangan batu bara di Provinsi Bengkulu berbasis website. Jurnal Media Infotama, 11(1), 51–60.









