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All Journal Journal of Geoscience, Engineering, Environment, and Technology GERVASI: Jurnal Pengabdian kepada Masyarakat Proceeding Seminar Nasional IPA Unnes Science Education Journal Advance Sustainable Science, Engineering and Technology (ASSET)
Naufal, Muhammad Ahganiya
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Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering 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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
A Participatory GIS Framework for Multi-Hazard Climate Risk Mapping in Indonesia Fariz, Trida Ridho; Budiarti, Ratna; Listyarini, Jassica; Puspitasari, Atikah Tri; Calysta, Nadia; Naufal, Muhammad Ahganiya; Heriyanti, Andhina Putri; Eralita, Norma
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2113

Abstract

Climate change has emerged as a global crisis with severe consequences for tropical and coastal regions. Pekalongan Regency, Indonesia, exemplifies these challenges, facing recurrent floods and landslides that threaten livelihoods and infrastructure. Risk mapping is urgently needed to guide adaptation strategies, yet many regions face constraints due to limited data availability. This study develops a multi-hazard risk mapping approach that integrates Geographic Information System (GIS) technology with stakeholder participation through Public Participation GIS (PPGIS). Hazard and vulnerability analyses were conducted using disaster records, socio-economic indicators, and spatial datasets, validated through Focus Group Discussions (FGDs) with government agencies and local stakeholders. The findings were synthesized into a structured four-stage framework encompassing stakeholder education (Kick-off), preliminary spatial analysis, participatory indicator validation, and finalization of risk maps. Results reveal distinct spatial patterns: flood risks dominate northern coastal and riverine villages, while landslide hazards are concentrated in the southern highlands. Stakeholder involvement not only improved data validity but also enhanced local adaptive capacity. The proposed PPGIS framework provides a transferable model for participatory climate resilience planning, particularly in data-scarce regions such as the global south area.
Local Wisdom of Mangrove Utilization in a Remote Coastal Village in Kubu Raya, West Kalimantan: An Ethnoscience Perspective for Contextual Science Education Eralita, Norma; Fariz, Trida Ridho; Jabbar, Abdul; Naufal, Muhammad Ahganiya; Heriyanti, Andhina Putri
Unnes Science Education Journal Vol. 14 No. 3 (2025): December 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/usej.v14i3.32649

Abstract

Science education can be enriched by integrating local culture and wisdom, particularly through the exploration of mangrove ecosystems. Mangroves not only play an essential ecological role but also embody local knowledge that can be linked to scientific concepts. This study aims to identify and describe the local wisdom of the Nipah Panjang, Kubu Raya Regency, West Kalimantan community in utilizing various mangrove species as a source of contextual science learning. A descriptive qualitative design with an ethnopedagogical approach was employed, combining literature review, document analysis, and brief field observations. The findings reveal that six dominant mangrove species, Avicennia alba, Avicennia marina, Bruguiera gymnorrhiza, Excoecaria agallocha, Rhizophora apiculata, and Rhizophora mucronata, are utilized in diverse ways according to their biological traits and bioactive compounds. Their uses include construction materials, firewood, charcoal, traditional medicine (e.g., for eye treatment, anti-inflammatory purposes, and gastric remedies), and support for honeybee cultivation. Such practices highlight the integration of ethnoscientific knowledge with science concepts, including ecosystem adaptation, plant structure, wood properties, and bioactive compounds. By bridging modern science with local wisdom, science education can become more contextual and meaningful, while fostering environmental awareness and a conservation-oriented mindset toward coastal ecosystems.
Co-Authors Abdul Jabbar Abdul Jabbar Atunnisa, Rifa' Calysta, Nadia Haris, Amnan Heriyanti, Andhina Putri Listyarini, Jassica Norma Eralita Norma Eralita Nurita, Oktavinda Jihan Puspitasari, Atikah Tri Ratna Budiarti Saputri, Luthfi Hanum Trida Ridho Fariz