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All Journal Jurnal Pilar Nusa Mandiri Indonesian Journal of Information System Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Jurnal Ilmiah Media Sisfo Jurnal Tekno Kompak Bantenese Jurnal Pengabdian Masyarakat Building of Informatics, Technology and Science BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences ABDIMAS Jurnal Pengabdian Kepada Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Software Engineering and Multimedia (JASMED) Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jnanadharma
Usman, Muhammad Lulu Latif
Universitas Telkom
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Veterinary Other

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REFUGEE BASED DATA COLLECTION IN DISASTER RESPONSE Muhammad Lulu Latif Usman; Fifing Fifing; Asep Adang Supriyadi; Luthfiyah Sakinah
Jurnal Pertahanan: Media Informasi ttg Kajian & Strategi Pertahanan yang Mengedepankan Identity, Nasionalism & Integrity Vol 6, No 2 (2020)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v6i2.640

Abstract

Indonesia's high disaster risk requires an information system that can improve effectiveness in disaster response. Therefore, there is a need for an application that could be a means for various information in disaster response in Indonesia. This research uses the Development Life Cycles or SDLC Software, specified with the Waterfall Model. This model has 4 phases, as following: requirement analysis, system analysis, implementation, verification, and maintenance. From this research, a victim-based data collection application can collect data at the disaster site regularly. It also can replace the previous conventional methods so that it can facilitate the National Disaster Management Authority (BNPB) in carrying out information to the community. The results of this study are the prototype of data collection applications in helping disaster response.
DESIGN AND DEVELOPMENT OF TETOS APPLICATION FOR LOCATION DETECTION IN SUPPORTING DISASTER VICTIM SEARCHING BASED ON GLOBAL POSITIONING SYSTEM (GPS) Muhammad Lulu Latif Usman; Asep Adang Supriyadi; Aris Poniman; Muhammad Nugraha; Nopi Rahmawati
Jurnal Pertahanan: Media Informasi ttg Kajian & Strategi Pertahanan yang Mengedepankan Identity, Nasionalism & Integrity Vol 7, No 1 (2021)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v7i1.1181

Abstract

Indonesia is a country with a high level of disasters where during 2005-2015 there were 11,648 hydrometeorological disasters and 3810 geological disasters. In terms of technology, Indonesia is using mobile devices with high growth according to data from the Ministry of Communication and Information. One of the ways to increase the use of mobile devices in assisting disaster management in Indonesia can be developed in the location-based discovery of disaster victims. The location in a mobile device uses a Global Positioning System (GPS) where the existing data is in the form of Latitude and Longitude data. The aim of this research is that the application is expected to assist in the discovery of disaster victims based on the last GPS location. This study focuses on developing a disaster victim search application based on the Android operating system. Development uses the Agile Model by using Black-box Testing and White-Box Testing techniques, where the type of testing uses Unit Testing, Integration Testing, and Acceptance Testing with qualitative data. The results of the research obtained an application in the form of a prototype where there are several corrective inputs obtained from Acceptance Testing. This study is then expected that the application can be applied in disaster management systems in Indonesia which of course can be supported by binding rules so that the data obtained can be utilized optimally.
Co-Authors Agung Al Rasyid Akhmad, Fajar Kamaludin Aprilia Intan Prasetya Aris Poniman Bita Parga Zen Bunga Laelatul Muna Dasril Aldo Dedy Agung Prabowo Fauzan, Fikrian Akmal Fifing Fifing Halimil Fathi Herdianto, Bachtiar Hutama, Iqbal Yoga Krisna Subarkah Lintang Cahya Mulyadani Luthfiyah Sakinah Marsally , Silvia Van Marsally, Silvia Van Muhamad Azis Muhamad Azrino Gustalika Muhammad Nugraha Muna, Bunga Laelatul Musawarman, Mr. Nopi Rahmawati Nugraha, Varrel Bramasta Pratama, Boby Mugi Rachman, Ari Rafie, Muhammad Iqbal Ainu Rafika Nur, Yohani Setiya Rahayu, Widya Andayani Rakhma, Nazwa Aulia Ramadhani, Ike Fitria Ratih Windu Arini Rehita Hasian Batubara Rian Ajie Pangestu Rizky Amelia Salsabila Fitrania Utami Salsabilla, Hanin Silvia Van Marsally Siti Roqayah Sudianto, Sudianto Sumantry, Diptya Bagus Supriyadi, Asep Adang Syam, Siti Nur Fadilah Tiawan Tiawan Tiawan, Tiawan Utami, Annisaa Wibowo, Fahrudin Mukti Wicaksono, Apri Pandu Wijaya, Reza Irfan Wijaya, Satria Dhaniswara Rahsa Yohani Setiya Rafika Nur Zulfina Wiria Ananda