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Analisis Daya Dukung Lingkungan Berbasis Sistem Informasi Geografis (SIG) terhadap Jasa Ekosistem Pengaturan Pencegahan dan Perlindungan dari Bencana di Kabupaten Timor Tengah Utara Lestari, Anastasia; Maneno, Regolinda; Boimau, Yanti
Magnetic: Research Journal of Physics and It’s Application Vol. 3 No. 2 (2023): Magnetic: Research Journal of Physics and It’s Application
Publisher : Program Studi Fisika - Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/magnetic.v3i2.377

Abstract

Ekosistem memberikan manfaat yang dapat mendukung aktivitas kehidupan manusia. Pengelolaan ekosistem yang tepat dapat memaikan peranan penting dalam mitigasi dan adaptasi terhadap bencana alam. Analisis dan evaluasi daya dukung lingkungan berbasis jasa ekosistem dalam sektor pengaturan pencegahan dan perlindungan dari bencana di Kabupaten Timor Tengah Utara (TTU) dapat menjadi masukan dalam pertimbangan pengembangan daerah terutama dalam upaya mitigasi bencana. Metode analisis yang digunaan yaitu pairwise comparation dengan nilai Indeks Komposit Jasa Ekosistem (IKJE). Hasil penelitian menunjukkan bahwa kelas daya dukung dalam pengaturan pencegahan dan perlindungan dari bencana di Kabupaten TTU secara umum tinggi yaitu 71% dimana Kecamatan Insana memiliki luas kelas jasa ekosistem tertinggi dan Kabupaten Biboki Anleu dengan jasa ekosistem rendah.
Implementasi Media Pembelajaran Sains dan Teknologi Miniatur Longsor Berbasis IoT di SD Negeri Lulu Kadek Dety Lestari, Anastasia; Maneno, Regolinda; Hanoe, Emanuel M.Y.; Suni, Guido Adolfus
Jurnal Atma Inovasia Vol. 6 No. 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v6i1.13099

Abstract

North Central Timor Regency has a high level of landslide vulnerability, while students’ understanding of disaster mitigation remains low. This community service program aims to enhance the science and technology literacy of students at SD Negeri Lulu through learning activities using an Internet of Things (IoT)-based landslide miniature as an educational medium. The miniature is designed to simulate landslide processes with IoT sensors that monitor soil moisture, allowing students to directly observe the relationship between environmental conditions and landslide potential. Through this activity, science and technology learning becomes more contextual, interactive, and engaging for elementary school students. The program also supports Sustainable Development Goals (SDGs) 4 (Quality Education), 11 (Sustainable Cities and Communities), and 13 (Climate Action). The integration of technology in science education has proven effective in improving students’ understanding of abstract geophysical and environmental concepts. Through experiments using the IoT-based miniature, students not only gain theoretical knowledge but also understand the practical application of technology in analyzing natural phenomena. This activity is expected to serve as a model for science and technology learning based on disaster mitigation in landslide-prone areas.
Pemetaan Sebaran dan Arah Aliran Lindi Menggunakan Metode Self Potential (SP) di Kali Kampung Bima Kefamenanu Maneno, Regolinda; Dety Lestari, Anastasia Kadek; Kristoforus Fallo
Magnetic: Research Journal of Physics and It’s Application Vol. 6 No. 1 (2026): Magnetic: Research Journal of Physics and It’s Application
Publisher : Program Studi Fisika - Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/magnetic.v6i1.704

Abstract

Leachate pollution is a common environmental issue in areas with open waste disposal activities, particularly along riverbanks. Kali Kampung Bima in Kefamenanu City is characterized by domestic waste accumulation that has the potential to generate leachate and contaminate the surrounding environment. This study aims to identify variations in natural subsurface potential values and to determine the migration pattern and flow direction of leachate in the waste accumulation zone of Kali Kampung Bima using the Self Potential (SP) method, a passive geophysical technique that measures natural electrical potential differences in the subsurface. Data acquisition was conducted using the fixed-base technique along two parallel survey lines, accompanied by daily and loop corrections to ensure data stability. The results show potential values ranging from positive to negative. Significant negative anomalies on line P (–15.97 to –17.36 mV) indicate electrokinetic processes associated with leachate migration toward the river channel, whereas line Q exhibits smaller and relatively homogeneous potential values, suggesting lower contamination intensity. The isopotential contour map reveals a leachate migration pattern from the waste accumulation area toward surface water flow. These findings demonstrate that the Self Potential method is effective for identifying negative anomalies related to leachate distribution and flow direction, and it provides a scientific basis for environmental pollution mitigation and sustainable waste management.