Simulasi Proses Evakuasi Berbasis Agen Pada Gedung Bertingkat Dengan Mempertimbangkan Aspek Kognitif

Elmi, Nur Aeni (2019) Simulasi Proses Evakuasi Berbasis Agen Pada Gedung Bertingkat Dengan Mempertimbangkan Aspek Kognitif. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kelancaran proses evakuasi dipengaruhi oleh banyak faktor, salah satunya adalah tanggapan penghuni (human cognitive behavior). Beberapa penelitian sebelumnya menemukan bahwa perilaku membawa dampak besar terhadap waktu evakuasi dan sering menimbulkan korban jiwa. Untuk meminimalkan resiko perilaku selama proses evakuasi, penerapan latihan evakuasi perlu dilakukan secara rutin. Namun latihan evakuasi secara langsung sering mengalami banyak kendala, sehingga dalam penelitian ini dilakukan pengembangan simulasi berbasis komputer menggunakan agent-based modelling and simulation untuk memimalisir resiko latihan evakuasi secara langsung. Dalam pengembangan model dilakukan pengumpulan dan pengolahan data menggunakan software Netlogo. Pengumpulan data dimulai dengan melakukan identifikasi perilaku dari penelitian sebelumnya dan kuesioner yang disebarkan ke penghuni gedung bertingkat untuk melihat cognitive behavior, tingkat keakraban lingkungan (familiarity) serta tingkat pengetahuan (knowledge) penghuni. Hasilnya menunjukkan terdapat 8 kemungkinan perilaku fase pre-evakuasi, 3 perilaku fase movement, dan 3 perilaku fase waiting. Pada simulasi awal diperoleh waktu evakuasi sebesar 100 menit dan ditemukan bahwa perilaku memberikan dampak besar terhadap waktu total evakuasi. Fase pre-evakuasi termasuk fase dengan kontribusi waktu terbesar selama proses evakuasi yaitu sebesar 71%. Hasil simulasi juga menemukan 3 perilaku dominan yang paling berpengaruh terhadap waktu evakuasi yaitu perilaku verifikasi, mengikuti jalur dan mengantri. Kemudian dilanjutkan dengan perancangan skenario pada tingkat familiarity dan knowledge, yang menghasilkan bahwa semakin tinggi nilai familiarity dan knowledge penghuni semakin cepat proses evakuasi berjalan.
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The smoothness of the evacuation process is influenced by many factors, one of which is the population response (human cognitive behavior). Some previous studies found that behavior has a large impact on evacuation time and often results in fatalities. To minimize the risk of behavior during the evacuation process, the implementation of evacuation drills needs to be carried out regularly. But the direct evacuation drills often encounter many obstacles, so in this study the development of computer-based simulations using agent-based modeling and simulation for risk minimize evacuation drill directly. In developing the model, data collection and processing is carried out using the Netlogo software. Data collection begins by identifying behavior from previous research and questionnaires distributed to occupants of high-rise buildings to see cognitive behavior, familiarity and the level of knowledge of residents. The results showed there were 8 possible pre-evacuation phase behaviors, 3 movement phase behaviors, and 3 waiting phase behaviors. In the initial simulation the evacuation time was 100 minutes and found that the behavior had a large impact on the total evacuation time. The pre-evacuation phase includes the phase with the largest time contribution during the evacuation process which is 71%. The simulation results also found three dominant behaviors most affect the evacuation time is the behavior of the verification, follow the path and queuing. Then the scenarios design on the level of familiarity and knowledge, show that the higher the value of familiarity and knowledge occupant evacuation process runs faster.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	evakuasi, human cognitive behavior, familiarity dan knowledge, agent-based modelling and simulation
Subjects:	T Technology > T Technology (General) > T57.62 Simulation
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Nur Aeni Elmi
Date Deposited:	22 Jul 2026 01:27
Last Modified:	22 Jul 2026 01:27
URI:	http://repository.its.ac.id/id/eprint/66209

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