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Pendekatan Machine Learning dalam Memetakan Kesesuaian Habitat Mal Daud Yusuf; Muhammad Karim; Tahir Tahir; Emy Saelan; M. Iqbal Liayong Pratama
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.36472

Abstract

Climate change and increasing anthropogenic pressure pose serious threats to endemic species with restricted distributions, such as the Maleo (Macrocephalon maleo) of Sulawesi. This study aims to model habitat suitability and potential distribution of the Maleo using an integrated Geographic Information System and Maximum Entropy approach. Presence-only occurrence data were combined with bio-physical and anthropogenic environmental variables to generate spatial predictions of habitat suitability across coastal and lowland landscapes. The model demonstrated strong predictive performance, indicating that the selected variables effectively captured the ecological requirements of the species. Habitat suitability patterns revealed that sandy soil characteristics, proximity to natural heat sources, and river systems were the most influential factors enhancing habitat suitability, reflecting the species’ unique reproductive ecology. In contrast, proximity to roads and settlements consistently reduced suitability, highlighting the negative impact of human disturbance. The continuous suitability output was further classified into core habitat and buffer zones to support conservation-oriented spatial planning. The resulting zoning framework identifies priority areas for protection and management, particularly outside formal protected areas where development pressure is high. Overall, this study provides robust spatial evidence for understanding Maleo habitat requirements and offers a transferable methodological framework for modeling other endemic species. The findings underscore the importance of integrating ecological and human dimensions in habitat modeling to support effective, evidence-based conservation strategies
Pemanfaatan SIG dalam Pemetaan Tutupan Lahan sebagai Suplemen Pembelajaran Geografi SMA Kelas X Mohamad Alfian Laudji; Sri Maryati; M. Iqbal Liayong Pratama
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Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jrpi.v3i2.38171

Abstract

Land cover change in artificial lake buffer zones is a common phenomenon driven by increasing human activities, such as settlement expansion, agricultural development, and infrastructure construction. These changes have the potential to reduce the ecological function of lake areas as environmental buffer zones and to intensify hydrological problems, including sedimentation and declining water quality. This study aims to utilize Geographic Information Systems (GIS) as an instructional medium for Grade X senior high school geography through a case study of land cover change mapping in the Danau Perintis area, Bone Bolango Regency. The research employed a GIS-based spatial analysis approach using remote sensing image interpretation and overlay techniques on land cover maps from two different time periods. The results indicate significant land cover changes, particularly the conversion of natural vegetation into built-up and agricultural land. The use of GIS-based maps as supplementary learning materials has been shown to improve students’ understanding of environmental dynamics, the relationship between human activities and spatial changes, and spatial thinking skills. Therefore, GIS can be utilized as a contextual and applicable learning medium in geography education.