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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Fountain of Informatics Journal Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JRSI (Jurnal Rekayasa Sistem dan Industri) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Informatika Universitas Pamulang Jurnal Teknoinfo Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Kreativitas PKM INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Inti Talafa : Jurnal Teknik Informatika JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) International Journal of Applied Sciences and Smart Technologies Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Ilmu Komputer untuk Masyarakat Data Sciences Indonesia (DSI) "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Purwayoga, Vega
Universitas Siliwangi
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Optimizing Aid Distribution through a Blockchain-Based Precision Donation System to Accelerate Disaster Management at Lazismu in Tasikmalaya Regency: Optimalisasi Distribusi Bantuan melalui Sistem Donasi Presisi Berbasis Blockchain untuk Percepatan Penanganan Bencana di Lazismu Kabupaten Tasikmalaya Hidayanto; Randi Rizal; Cindera Syaiful Nugraha; Siti Yuliyanti; Vega Purwayoga
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 10 No. 1 (2026): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

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

Abstract

Aid distribution during the disaster emergency response phase often faces various obstacles, such as inaccurate recipient data collection, uneven distribution, and low transaction transparency. This condition also occurs in the Lazismu Tasikmalaya Regency aid distribution process, especially during floods and landslides. This community service program aims to optimize aid distribution through the development of a Precision Donation System based on Blockchain Technology. Blockchain technology was chosen because it is able to provide transparency, accountability, and an immutable audit trail, so that every funds flow and goods can be real time monitored. The implementation method includes mapping partner needs, designing system architecture, implementing simple smart contracts for donation management, training Lazismu managers, and testing the system using disaster simulation data. The developed system is able to record donation transactions, validate aid recipients, and monitor logistics distribution with a higher accuracy level  than manual processes. Evaluation results show that the blockchain use  increases recording efficiency by up to 35%, accelerates the aid verification process, and increases public trust in the transparency of aid distribution. This program has a direct impact in the form of increasing the digital capacity of zakat institutions in disaster management, while simultaneously supporting the achievement of SDGs 11 (Sustainable Cities and Communities) and 16 (Strong Institutions). This implementation also aligns with BRIN's research focus on digital transformation in disaster management. Going forward, this system has the potential to be further developed with the integration of geospatial mapping and machine learning for more precise predictions of aid needs.
Flood mapping using Res-Q and machine learning on imbalanced data Yuliyanti, Siti; Purwayoga, Vega; Rachman, Andi Nur; Gusnadi, Zakwan
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.10374

Abstract

Flood disaster mapping requires accurate methods to support early warning and mitigation planning. To address common issues such as imbalanced data distribution and limited attribute handling, this study proposes an improved approach. The methodology includes: i) modification of the spatial sort filter skyline method with reverse normalization based on attribute preferences, applied when an attribute has minimal preference to ensure balanced consideration during skyline filtering; ii) data labeling and balancing, where initial flood potential labeling is generated using Res-Q, followed by K-Means clustering to group data into four classes (low, moderate, high, and very high) and SMOTE to further balance the dataset with 558 data points per class; iii) model evaluation using the C5.0 algorithm under three schemes, showing high and consistent accuracy with 89.24% on imbalanced data (Schema 2) and 93.3% on balanced data (Schema 3), while Schema 1 shows overfitting due to extreme imbalance; and iv) the main contribution, integrating reverse normalization with skyline filtering combined with clustering and resampling, enhancing both accuracy and robustness in identifying flood-prone areas. This structured approach highlights methodological improvements, reliable results, and practical contributions for effective flood disaster management.
Co-Authors Addinsyah, Yuldan Nur Al Husaini, Muhammad Alam Rahmatulloh Alfarez, Rifky Alhusaini, Muhamad Ali Astra Mikail Andi Nurkholis Aradea Aradea Ariyanto, Nabhan Thoriq Aziz, Nur Jannah Abdi Cindera Syaiful Nugraha Euis Nur Fitriani Dewi Gunawan, Rohmat Harry Gunawan Hen Hen Lukmana Hermansyah, Aam Hidayanto Hilal, Rizki Ramdhan Jasmin, Nur Shabrina Jatnika, Muhammad Dzulfaqori Kartini, Nuri Lisna Zahrotun Lukmana, Hen Hen Maarip, Syamsul Mikail, Ali Astra Muhammad Al Husaini Mustofa, Romy Faisal Nugraha, Cindera Syaiful Pangestu, Pandu Rachman, Andi Nur Ramadhan, Delvan Randi Rizal Rianto Rianto, Rianto Rindiawan, Selvina Zalfa Rizal, Randi Salma Dewi Nur Faridah Septi Asriani, Aveny Setyawan, Resa Siti Yuliyanti Siti Yuliyanti, Siti Sokid, Sokid Susanto, Budi Tedy Setiadi Triono, Wahyu Virra Retnowati A’izzah Winda Ayu Anggraini Wulandari, Nunik Herani Yumna, Irsalina Zakwan Gusnadi