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Abstrak :
Terorisme adalah kejahatan terhadap kemanusiaan dan merupakan masalah sosial yang kompleks serta dapat menjadi ancaman serius terhadap kedaulatan setiap negara, termasuk Indonesia. Salah satu metode untuk mempelajari kompleksitas sosial tersebut adalah dengan menggunakan pendekatan Agent Based Modelling (ABM). ABM merupakan suatu metode komputasi yang dapat digunakan untuk membuat, menganalisis, dan melakukan percobaan dari suatu model yang tersusun atas kumpulan agen yang saling berinteraksi dengan lingkungannya. Agen memiliki atribut untuk mencirikan karakteristik agen, selain itu terdapat aturan yang mempengaruhi hubungan antar agen dan lingkungannya. Dalam penelitian ini konstruksi model terdiri dari populasi agen yang dibagi menjadi lima kelas yaitu kelas umum / general (G), kelas bibit atau calon fanatik / seed (S), kelas fanatik aktif / active fanatic (FA), kelas fanatik non aktif / fanatic in prison (FP ), dan kelas Densus 88 (D). Beberapa atribut yang digunakan adalah usia, frekuensi pertemuan dengan anggota FA, vonis penjara serta masa tahanan anggota FP. Hasil simulasi model dengan menggunakan NetLogo 5.2 dan Mathematica 10.0 menunjukkan parameter  berperan penting dalam menekan berkembangnya populasi teroris di Indonesia.;Terrorism is a menace to humanity and society and also a complex social problem. One of the methods for studying social complexity in this case is using the approach of Agent Based Modeling (ABM). ABM is a computational method that enables a researcher to create, analyze, and experiment with models composed of agents that interact within an environment. Agents have attributes to characterize them, and the rules that will affect the relationship between agents and an environment. In this research, the model construction is divided into five classes namely general class (G), class of seed (S), class of active terrorist (FA), class of terrorist in prison (FP ), and Densus 88 class (D). The attributes used are age, frequency of interactions with FA, prison verdict and prison term of FP . The simulation using NetLogo 5.2 and Mathematica 10.0 shows the parameter  is important in suppressing the growth of terrorist population in Indonesia.;Terrorism is a menace to humanity and society and also a complex social problem. One of the methods for studying social complexity in this case is using the approach of Agent Based Modeling (ABM). ABM is a computational method that enables a researcher to create, analyze, and experiment with models composed of agents that interact within an environment. Agents have attributes to characterize them, and the rules that will affect the relationship between agents and an environment. In this research, the model construction is divided into five classes namely general class (G), class of seed (S), class of active terrorist (FA), class of terrorist in prison (FP ), and Densus 88 class (D). The attributes used are age, frequency of interactions with FA, prison verdict and prison term of FP . The simulation using NetLogo 5.2 and Mathematica 10.0 shows the parameter  is important in suppressing the growth of terrorist population in Indonesia.

Abstrak :
Kecamatan Palabuhanratu merupakan wilayah yang rawan terhadap bencana gempabumi dan tsunami sehingga perlu adanya upaya-upaya mitigasi bencana gempabumi dan tsunami. Penelitian ini bertujuan untuk mendapatkan jalur evakuasi efektif di Kecamatan Palabuhanratu. Untuk mendapatkan hasil tersebut dilakukan analisis bahaya tsunami menggunakan pemodelan tsunami dengan perangkat lunak COMCOT berdasarkan skenario terburuk potensi momen magnitudo 8,8 untuk Megathrust segmen Selat Sunda - Banten, melakukan analisis penduduk terdampak bahaya tsunami menggunakan data People in Pixel, melakukan analisis jalur evakuasi dan wilayah jangkauan tempat evakuasi menggunakan metode Network Analysis pada perangkat lunak SIG, serta mensintesa kepadatan jalur di Kecamatan Palabuhanratu menggunakan simulai agent-based model pada aplikasi Netlogo 6.3.0. Hasil analisis bahaya tsunami diketahui bahwa terdapat 5 desa yang terkena dampak tsunami dengan ketinggian maksimum tsunami mencapai 18,3 meter, waktu tiba gelombang tsunami tercepat 21 menit, dan jarak tsunami terjauh di daratan (inundasi) mencapai 1735 m. Estimasi penduduk yang terdampak tsunami tingkat bahaya tinggi sebesar 86,8 %, tingkat bahaya sedang 6,8 % dan tingkat bahaya rendah 6,5 % dari total penduduk yang terdampak bahaya tsunami. Penelitian ini berhasil menentukan 54 jalur evakuasi pada 4 desa di Kecamatan Palabuhanratu dengan mempertimbangkan kondisi jalan yang ada dan diketahui bahwa lokasi tempat evakuasi existing tidak dapat menjangkau seluruh area bahaya tsunami. Hasil dari simulasi berbasis agen pada Desa Citepus, Kelurahan Palabuhanratu dan Desa Jayanti memiliki tingkat kepadatan relatif tinggi pada saat proses evakuasi. Persentase penduduk selamat yang relatif tinggi membuktikan bahwa jalur evakuasi yang ditentukan pada penelitian ini sudah efektif. ......Palabuhanratu Sub-district is an area that is prone to earthquakes and tsunamis, so there is a need for earthquake and tsunami mitigation efforts. This study aims to obtain an adequate evacuation route in Palabuhanratu District. To obtain these results, a tsunami hazard analysis was carried out using tsunami modeling with COMCOT software based on the worst scenario possible moment of magnitude 8.8 for the Sunda-Banten Strait Megathrust segment, analyzing the population affected by the tsunami hazard using People in Pixel data, exploring evacuation routes and areas. Coverage of evacuation sites using the Network Analysis method in GIS software and synthesizing the density of lanes in Palabuhanratu District using an agent-based model simulation in the Netlogo 6.3.0 application. The tsunami hazard analysis results found that five villages were affected by the tsunami with a maximum tsunami height of 18.3 meters, the fastest tsunami wave arrival time was 21 minutes, and the farthest distance of a tsunami on land (inundation) reached 1735 m. It is estimated that the population affected by the high-hazard tsunami is 86.8%, the medium hazard level is 6.8%, and the low-hazard level is 6.5% of the total population affected by the tsunami hazard. This research successfully determined 54 evacuation routes in 4 villages in Palabuhanratu District by considering the existing road conditions. It is known that the current evacuation sites cannot reach all tsunami hazard areas. The results of the agent-based simulation in 3 villages, namely Citepus Village, Jayanti Village, and Palabuhanratu Village, had relatively high levels of density during the evacuation process. The relatively high percentage of survivors proves that the evacuation routes determined in this study are effective.

Abstrak :
ABSTRAK
This initial study explores the importance of trust in Aceh tsunami evacuation. Drawing upon the cultural theory as theoretical basis, this research classifies people in Aceh based on their trust level and identifies the significant factors influencing them to trust to different sources during tsunami. To accomplish the goals, an offline survey to 62 respondents in Aceh who experienced tsunami was conducted. From this survey, it found that most of respondents tend to be more trust to their self (individualist) and family/neighbor (egalitarian) than trust to government (hierarchy) and religious leader (traditional). On the other hand, (1) self-efficacy, (2) evacuation knowledge and (3) trust level to non-government people are indicated as the significant factors influencing people to trust in different sources during tsunami evacuation. This initial result will be benefit to develop a predictive model of trust using Agent-based model and simulation (ABMS) for the further research.