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All Journal TEKNIK INFORMATIKA Jurnal Ketahanan Nasional
Achadi, Abdul Haris
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Computer Science & IT

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Ketahanan Masyarakat Penyintas Berbasis Pentagon Aset Pasca Gempabumi Cianjur (Studi di Kecamatan Cugenang, Kabupaten Cianjur, Jawa Barat) Rahman, Fathin Aulia; Achadi, Abdul Haris
Jurnal Ketahanan Nasional Vol 30, No 1 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkn.94497

Abstract

ABSTRACT The Cianjur earthquake was a large shallow earthquake caused by the Cimandiri Fault which was later determined to be the Cugenang Local Fault. The impact of the 5.6 magnitude earthquake devastated most of the Cianjur Regency area, causing a lot of suffering and misery for the post-Cianjur earthquake survivors. Community resilience was needed in facing crises and threats of disaster. This research aimed to: (1) analyzed community resilience; and (2) identified  factors that influenced community resilience. This research was quantitative research with a survey method. The research population was based on the sub-district that had the worst impact, namely Cugenang District. The sampling technique used simple random sampling. Data collection techniques used questionnaires and documentation. The data analysis technique used descriptive statistical methods to analyzed levels of resilience, factor analysis methods to identified factors and quantitative description methods to determined community adaptation strategies. The research results showed that the level of resilience of the earthquake survivors in Cugenang District was in the Medium category. The lowest level of resilience according to livelihood assets was natural capital and financial capital. The six most influential factors on resilience were formed, namely socio-economic conditions, the impact of post-disaster assistance & community involvement, post-disaster economic capacity, post-disaster health, and ownership of water sources..
Kearifan Lokal sebagai Fondasi Ketahanan Masyarakat Pesisir Menghadapi Ancaman Tsunami di Pesisir Kabupaten Bantul, Daerah Istimewa Yogyakarta Rahman, Fathin Aulia; Wibowo, Arief; Achadi, Abdul Haris
Jurnal Ketahanan Nasional Vol 31, No 3 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkn.112955

Abstract

Penelitian ini bertujuan untuk menganalisis peran kearifan lokal sebagai fondasi ketahanan masyarakat pesisir Kabupaten Bantul dalam menghadapi ancaman tsunami. Latar belakang penelitian ini berasal dari tingginya ancaman bencana Tsunami di wilayah pesisir selatan Yogyakarta yang menuntut strategi mitigasi berbasis nilai lokal dan sosial budaya. Metode penelitian menggunakan pendekatan kuantitatif dengan membagikan kuesioner kepada 179 responden masyarakat pesisir serta didukung oleh analisis deskriptif dan interpretatif terhadap variabel pengetahuan lokal, keyakinan masyarakat, praktik adat, pola komunikasi, dan kepekaan lingkungan. Hasil penelitian menunjukkan bahwa variabel Keyakinan Masyarakat menjadi aspek paling dominan dengan nilai rerata indeks 4,13, khususnya indikator dorongan budaya/agama untuk gotong royong saat bencana (4,31) yang memperlihatkan kekuatan solidaritas sosial. Sementara itu, indikator kemampuan mengamati tanda-tanda alam (2,61) merupakan aspek terendah yang menandakan menurunnya pengetahuan ekologis tradisional. Temuan ini mengindikasikan bahwa nilai budaya dan spiritualitas masih menjadi kekuatan utama dalam membangun ketahanan sosial, namun perlu diimbangi dengan revitalisasi pengetahuan lokal dan penguatan sistem peringatan dini. Kesimpulannya, sinergi antara kearifan lokal dan teknologi modern menjadi kunci penting dalam membangun resiliensi masyarakat pesisir terhadap ancaman tsunami. 
Explainable Ensemble Learning for Urban Flood Risk Mapping in Jakarta Using Multi-Source Geospatial and Hydrometeorological Data Wibowo, Arief; Achadi, Abdul Haris
JURNAL TEKNIK INFORMATIKA Vol. 19 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v19i1.49010

Abstract

Urban flooding is a frequent hydrometeorological hazard in Indonesia, particularly in Jakarta, driven by rapid urbanization, limited drainage capacity, land cover change, and extreme rainfall. This study develops an explainable ensemble learning framework for urban flood risk mapping in Jakarta using multi-source geospatial and hydrometeorological data, including satellite-based rainfall, topography, land use/land cover, NDVI, and IoT-based river water level observations from 2023–2025. Flood occurrence labels were constructed by integrating municipal flood records with satellite-based inundation data. The framework integrates Random Forest, Gradient Boosting, and XGBoost models, with SHAP applied for interpretability and identification of dominant flood drivers. Model evaluation using ROC-AUC and RMSE indicates that XGBoost achieved the highest performance (AUC = 0.91, RMSE = 0.184), outperforming Random Forest (AUC = 0.87, RMSE = 0.221) and Gradient Boosting (AUC = 0.89, RMSE = 0.203). SHAP analysis identifies rainfall intensity, elevation, proximity to river channels, and built-up area percentage as the most influential factors. Despite uncertainties in flood labeling and the lack of high-resolution drainage data, the results demonstrate the potential of explainable ensemble learning for urban flood risk assessment and resilience planning. 
Co-Authors Arief Wibowo Rahman, Fathin Aulia