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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management POSITRON Jurnal Neutrino : jurnal fisika dan aplikasinya Physics Student Journal Proceeding International Conference on Global Resource Conservation Natural B Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Journal of Geoscience, Engineering, Environment, and Technology JOIV : International Journal on Informatics Visualization Jurnal Penelitian Pendidikan IPA (JPPIPA) Civil Engineering Journal JMM (Jurnal Masyarakat Mandiri) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Indonesian Physical Review Mitra Akademia: Jurnal Pengabdian Masyarakat Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) Indonesian Journal of Forestry Research Jurnal Geosaintek Global Review of Tourism and Social Sciences
Adi Susilo
Jurusan Fisika Fakultas MIPA Universitas Brawijaya Malang
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

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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 Achmad Fakhrus Shomim, Achmad Fakhrus Adinegara, Aldo W. Agastya, Ida Bagus Oka Agung Teguh Wibowo Almais Agung, P. A. Maha Agus Naba Agus Pajrin Ahmad Hanif Al Fathoni, Ahmad Hanif Ahmad Luthfin Ahmad, Mustaffa A. Akhmad Jufriadi Alamsyah Muhammad Juwono ALathief Fashihullisan Andriansyah, M. Annabil, Achmad Achdan Aprilia, Faridha Asep Setiyo Budi Atok Yuliantono aunur rozaq B. Heri Purwanto Bagus Suryawan Bambang Aviantara Bambang Avianthara Barika Novanta Bunga Puspita, Mayang Chandra, Yuliana Iik Iswanti Dadan Dani Wardhana Denny Denny Yatmadi Deny Saputra Devita Fisas Riyanti Diah Ayu Chumairoh Dimas Pramudito Dipika Anggun Ardianti, Dipika Anggun Dolly Priatna dwi ajeng enggarwati Dwi Febriana Rochmah, Dwi Febriana Dwinanda, Indah Gumilang Eko Andi Suryo Fadly Usman Fajar Rakhmanto Fajrin, Rahma Annisa Fakhruddin, Fian Farid Hosni Faridha Aprilia Ganjar Sulastomo Gumelar, Dito Ibrahim Habibiy Idmi, Mohammad Halimah Halimah Hanafi, Muhammad Gusti Alif Zuhry Haniyyah, Saffanatul Hartiningtias, Diny Hermawan, Erwan Hetty Triastuty Hikhmadhan Gultaf Hisyam, Farizky Ibnu fajar sidik Idmi, Mohammad Habibiy Ilham Ilham indria restika anggraeni Intan Dewi Meutia Sari Juhari Juhari, Juhari Juwono, Alamsyah M Juwono, Alamsyah M. Kamali, Ahmad Byan Kardina, Dalendra Kevin Aulia Sandi Pratama Kukuh Suprayogi, Kukuh Kuni Azizah Lambertus Francisco Lestari, Santi Arum Puspita Maryanto - Mauludi Ariesto Pamungkas Mayang Bunga Puspita Moechammad Sarosa Monk, Kathryn A Mu'in, Fatkhul Muhajir Anshori Muhammad Fathur Rouf Hasan Muhammad Hendrasto Muhardi Muhardi Mujtaba, Mochammad Wafa Husain Muslih Udin Muslim, Teguh Musta, Baba Muwardi Sutasoma Nefrizal Nefrizal Nosevin Mangasi Onrizal Onrizal Osa, Dominggus Benyamin Pegatariana, I Ketut Ari Pratiwie, Dessy Lutfiani Putu Ayu Saraswati Razi, Mohd Adib Mohammad Rika Mayasyafa, Rika rizky gustiansyah Rofi Ridho Nurbilad, Rofi Ridho Rohana, Tatang Salman Hamja Siombone sania cahya maulida Sasmita Fidyaningrum Siti Jazimah Iswarin Sri Herwiningsih Sukir Maryanto Sunaryo - Surya Aji Ermanto Suryanto Suryanto Sutan Haji, Alexander T. SUTIKNO Teguh Suroso Titi Kalima Tri Deni Rachman Ulfah, Syarifatul Wasis M.AB, Wasis Wasis Wasis Wasis Wasis Welayaturromadhona Widyasandy, Dhony Yana Cahyana Yasa Suparman Yesika Wahyu Indrianti Yudianto, Didik Yunika, Nieske Ari Zainatul Afidah, Zainatul Zainorabidin, Adnan