Article Per Year (5 Year)
p-Index From 2021 - 2026
1.286
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Physics Student Journal Jurnal EECCIS Natural B Journal of Engineering and Technological Sciences Science and Technology Indonesia JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science Indonesian Physical Review JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Mitra Akademia: Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
Agus Naba
Departemen Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Brawijaya
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
Assessment of Post-Disaster Building Damage Levels Using Back-Propagation Neural Network Prediction Techniques Wibowo Almais, Agung Teguh; Fajrin, Rahma Annisa; Naba, Agus; Sarosa, Moechammad; Juhari, Juhari; Susilo, Adi
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2711

Abstract

Indonesia is susceptible to natural disasters, with its geographical location being one of the contributing factors. To mitigate the harmful effects of natural catastrophes, a disaster emergency response must be undertaken, consisting of steps taken immediately following the event. These operations include rescuing and evacuating victims and property, addressing basic needs, providing protection, and restoring buildings and infrastructure. Accurate data is required for adequate recovery after a disaster. The Badan Penanggulangan Bencana Daerah (BPBD) oversaw disaster relief efforts, but faulty damage assessments slowed restoration. Surveyor subjectivity and differing criteria result in discrepancies between reported damage and reality, generating issues during the post-disaster reconstruction. The objective of this study is to develop a prediction system to measure the extent of damage caused by natural disasters to buildings. The five criteria that decide the level of building damage after a disaster are building conditions, building structure condition, physical condition of severely damaged buildings, building function, and other supporting conditions. The data used are from the BPBD of Malang city from 2019 to 2023. This system would allow surveyors to make speedy and objective evaluations. Five different models were tested using the Neural Network Backpropagation approach. Model A2 produces the highest accuracy of 93.81%. A2 uses a 40-38-36-34 hidden layer pattern, 1000 epochs, and a learning rate 0.1. These findings can lay the groundwork for advanced prediction models in post-disaster building damage evaluation research.
Co-Authors Abdurrouf - Adi Susilo Adi Susilo Agung Teguh Wibowo Almais Agus Wahid Ahmad Nadhir Alfina Taurida Alaydrus Andrijani Sumarahinsih Ciptaningrum, Mega Satya D. J. Djoko Herry Santjojo Djoko Santjojo eko teguh purwito, eko teguh Elta Sonalitha Erni Yudaningtyas Fachrudin Pakaja Fajrin, Rahma Annisa Fatimah Kunti Hentihu, Fatimah Kunti Firdaus, Ahmad Kanzu Syauqi Fitroh Amaluddin Gayatri Dwi Santika Hamles Leonardo Latupeirissa Handono Kalim Hari Santoso Hari Santoso Hariyadi Soetedjo Harry Soekotjo Dachlan Herditomo Herditomo Juhari Juhari, Juhari Juwono, Alamsyah M. M. Aziz Muslim Maryantho Masarrang Maryantho Masarrang Mauludi Ariesto Pamungkas Mega Satya Ciptaningrum Moechammad Sarosa Moh. Fausi Mohamad Saad A.Sawa Mohammad Zoqi Sarwani, Mohammad Zoqi Muhammad Aziz Muslim Muhammad Fadlil Khoironi Muhammad Fathur Rouf Hasan Purwanto Purwanto Ridwan Awalin Rizky Benny Relado, Rizky Benny Setyawan Purnomo Sakti Sri Herwiningsih Sugeng Rianto Suhayat Minardi Sunaryo Sunaryo Umi Salamah Wayan Firdaus Mahmudy Yogie Susdyastama Putra Yudianto, Didik Yuyun Yueniwati