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All Journal Journal of Geoscience, Engineering, Environment, and Technology GERVASI: Jurnal Pengabdian kepada Masyarakat Proceeding Seminar Nasional IPA
Naufal, Muhammad Ahganiya
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Earth & Planetary Sciences Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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PELATIHAN PENGOLAHAN SAMPAH MENGGUNAKAN LARVA BLACK SOLDIER FLY SEBAGAI PENGEMBANGAN EKONOMI SIRKULAR DI DESA JETAK Heriyanti, Andhina Putri; Atunnisa, Rifa'; Haris, Amnan; Jabbar, Abdul; Naufal, Muhammad Ahganiya; Fariz, Trida Ridho; Nurita, Oktavinda Jihan
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 8 No. 2 (2024): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v8i2.7692

Abstract

Sumber sampah organik dari kegiatan pertanian serta rumah tangga di Desa Jetak menjadikan perlunya pengelolaan yang tepat yang bisa memberikan manfaat ekonomi namun ramah lingkungan. Oleh karena itu, tujuan kegiatan pengabdian adalah pelatihan pengolahan sampah organik menggunakan larva BSF (Black Soldier Fly). Kegiatan pengabdian dilakukan dengan tahap persiapan, tahap kegiatan sosialisasi dan pelatihan hingga evaluasi. Pada tahap evaluasi diketahui bahwa semua peserta merasa bahwa kegiatan ini menarik dan mengganggap bahwa pengolahan sampah organik menggunakan larva BSF itu efektif dan efisien, walaupun cukup banyak peserta yang merasa geli dengan larva BSF.
SIMULASI PENGARUH PATAHAN TERKUBUR TERHADAP PENENTUAN LOKASI PATAHAN BERDASARKAN SECOND VERTICAL DERIVATIF DATA GRAVITASI Naufal, Muhammad Ahganiya
Proceeding Seminar Nasional IPA 2022
Publisher : LPPM UNNES

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Abstract

Patahan geologi dapat diidentifikasi salah satunya dengan menggunakan metode gravitasi yaitu perhitungan Second Vertical Derivative (SVD). Secara matematis, nilai SVD = 0 mGal/m merupakan indikasi patahan. Penelitian dilakukan dengan melakukan simulasi model densitas patahan normal. Konsep patahan normal pada penlitian ini memiliki karakteristik yaitu densitas batuan hanging wall lebih rendah daripada densitas batuan foot wall. Data gravitasi sintetis dihasilkan dari model patahan. Pengolahan data gravitasi dengan metoda SVD dilakukan untuk mendapatkan lokasi patahan. Variasi sudut kemiringan patahan dan ketebalan lapisan batuan pengubur dilakukan pada penelitian ini. Hasil penelitian menunjukan bahwa lokasi patahan berdasarkan metoda SVD menyimpang dari lokasi patahan seharusnya. Lokasi patahan pada ketebalan lapisan batuan 500 m untuk sudut 30° berada pada lokasi X = 10.300 m namun hasil SVD nampak ada lokasi X = 11.322,54 m. Lokasi patahan pada ketebalan lapisan batuan 500 m untuk sudut 78° berada pada lokasi 11.917 m namun hasil SVD nampak pada lokasi X = 11.800 m.
Exploratory of Ecological Quality from Remote-Sensing Ecological Index and Drought Hazard in Pekalongan Regency, Indonesia Fariz, Trida Ridho; Naufal, Muhammad Ahganiya; Heriyanti, Andhina Putri; Eralita, Norma; Saputri, Luthfi Hanum
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 3 (2025): JGEET Vol 10 No 03 : September (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.3.22396

Abstract

Climate change has intensified environmental hazards, including floods, landslides, and droughts, with Pekalongan Regency, Indonesia, emerging as a vulnerable region facing these multifaceted challenges. While flood-related studies dominate existing study, drought impacts remain understudied, despite their growing prevalence. Current climate hazard assessments in Pekalongan's adaptation plans rely heavily on historical data, limiting their predictive accuracy. This study addresses these gaps by developing a Remote Sensing Ecological Index (RSEI) model to evaluate ecological quality and its association with drought hazards, aligning with climate-resilient development objectives. The study employs Landsat imagery to construct RSEI using four key indicators: NDVI (greenness), WET (wetness), NDBSI (dryness), and LST (heat). Drought hazard data were derived from 2023 disaster records provided by Pekalongan's Regional Disaster Management Agency (BPBD). Statistical analysis using chi-square tests examined the relationship between RSEI components and drought hazard classes.Results demonstrate that RSEI's first principal component (PC1) effectively captures spatial ecological patterns, with southern regions (notably Petungkriyono's tropical rainforest) exhibiting "good" to "excellent" conditions, while northern urbanized areas score lower ("fair" to "poor"). PC1 shows a statistically significant association with drought hazard, unlike PC2 or PC3, suggesting its utility as a drought vulnerability indicator. However, the chi-square approach only identifies categorical relationships without quantifying effect strength or direction, highlighting methodological limitations. This study contributes to climate adaptation science by validating RSEI's applicability for drought assessment in tropical coastal regions. Future study should incorporate ordinal regression or spatial modeling to enhance predictive capability. The findings support evidence-based policymaking for targeted mitigation in Pekalongan Regency and similar vulnerable regions, emphasizing the integration of ecological monitoring into climate adaptation frameworks.
Co-Authors Abdul Jabbar Atunnisa, Rifa' Haris, Amnan Heriyanti, Andhina Putri Norma Eralita Nurita, Oktavinda Jihan Saputri, Luthfi Hanum Trida Ridho Fariz