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Implementation of Agent Based Modelling to Observe the Evacuating Behavior at Faculty of Engineering Building, University of Bengkulu, Indonesia Hardiansyah; Wida Fitrianip; Annisa Fitria Edriani; Robi Hardiansyah; Rizka Lestyanti; Lindung Zalbuin Mase
Journal of the Civil Engineering Forum Vol. 8 No. 2 (May 2022)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6134.376 KB) | DOI: 10.22146/jcef.3589

Abstract

Evacuation is an important issue during the occurrence of an earthquake, due to the influence of people’s responsive behaviours to the disaster. This indicates the occurrence of overcrowded conditions, which causes the conflict of people’s movement. It is also one of the main reasons the process of evacuation is difficult, leading to the necessity to specifically model the movement within each building. Therefore, this study aims to analyze the earthquake evacuation modelling in Faculty of Engineering building, University of Bengkulu, Indonesia. This used a multi-agent programmable modelling environment known as NetLogo, which adopted an ABM model that is often utilized to observe elemental movement response. The agents occupying the building also moved to the stairs and evacuation doors, for exit towards the assembly point, which was located in front and behind Faculty of Engineering. The agent-based modelling is then conducted by inputting the layout of the building and the number of occupants in each room. Furthermore, the simulations were performed by considering various agents’ capacity in the building, during the evacuation. The results showed the time taken for the agents to exit the building during the disaster. This confirmed that the required exit time generally decreased with the increasing population percentage in the building. During this process, the conflict point also occurred around the corridor of Floors 1 and 2 (T1, T2 and T3), as well as the exits of the building (P1, P2, P3, and P4). This was due to the occurrence of a high density when agents carry out evacuation movements. Based on these results, the placement of signs was recommended, as guidelines during the evacuation process.
Implementasi Metode Agent Based Modelling untuk Evakuasi Bencana Tsunami pada Gedung J Universitas Bengkulu, Indonesia Deni Putrah Pratama; Hardiansyah; Yuzuar Afrizal; Lindung Zalbuin Mase
Potensi: Jurnal Sipil Politeknik Vol 22 No 2 (2020): Potensi: Jurnal Sipil Politeknik
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (825.003 KB) | DOI: 10.35313/potensi.v22i2.1843

Abstract

Gedung J Universitas Bengkulu merupakan gedung kuliah yang digunakan oleh Fakultas Hukum. Gedung J sangat dekat dengan bibir pantai menyebabkan gedung ini sangat rawan terhadap bencana tsunami. Jalur evakuasi bencana sangat dibutuhkan untuk menanggulangi dan mengurangi korban jiwa. Penelitian ini bertujuan untuk merencanakan model perjalanan evakuasi bencana tsunami dan mengatasi ruas jalan yang bermasalah. Penelitian ini menggunakan metode Agent Based Modelling dengan bantuan aplikasi NetLogo versi 6.0.4. Data primer yang digunakan adalah denah gedung dan geometri jaringan jalan. Data sekunder yang diperlukan meliputi jumlah orang yang ada didalam gedung kuliah. Pengambilan kuisioner dilaksanakan dengan pengambilan sampel, kemudian data dianalisis secara statistik meliputi uji validitas data, derajat kejenuhan, volume, kapasitas, dan tes analisis regresi linier sederhana. Penelitian ini menggambarkan12 ruas jalan dan 3 rute alternatif. Analisis data yang dilakukan menunjukkan kondisi ruas jalan yang ditinjau berdasarkan hasil perbandingan data kuisioner dan simulasi. Rute alternatif evakuasi yang banyak dipilih responden adalah rute alternatif 1, hal ini dikarenakan jalan terdekat ketika pengungsi menuju pintu keluar. Selain itu, nilai derajat kejenuhan serta kapasitas yang tinggi menunjukkan perlunya pengembangan kinerja jaringan jalan lokal Universitas Bengkulu, sehingga ketika evakuasi tidak terjadi hambatan bagi pengungsi.