Ali Ridho Barakbah, Amang Sudarsono, T. Harsono, M. Askari
{"title":"A mobile application for cluster-based visualization of spatio-temporal earthquake data distribution in Indonesia","authors":"Ali Ridho Barakbah, Amang Sudarsono, T. Harsono, M. Askari","doi":"10.1109/KCIC.2017.8228591","DOIUrl":null,"url":null,"abstract":"Earthquake is one of natural disasters that often occurs in Indonesia and may cause damages on environmental and infrastructural properties, such as road, bridge, houses. The high rate of earthquake in Indonesia is that Indonesia is located at the crash point of three major tectonic plates: Eurasian Plate, Australian Plate, and Pacific Plate. This situation challenges a need to prepare participatory development for public awareness regarding the effects of earthquake and how to prepare for a possible hazard risk of earthquake. It helps the government and individuals for consequently saving their live. One of the ways to increase this awareness is to utilize mobile device through earthquake applications. This paper proposes a new system for cluster-based visualization of spatio-temporal earthquake data distribution in Indonesia through a mobile application. The system applies an automatic clustering to detect automatically number of clusters for earthquake data distribution and then analyze characteristics of earthquake behavior for each region in Indonesia. The system provides 4 main features which are (1) Data acquisition and preprocessing earthquake data, (2) Automatic clustering for spatio-temporal data distribution, (3) Mobile data exchange between user and earthquake data server, and (4) Spatio-temporal data visualization. For experimental study, the system used earthquake dataset of ANSS (Advanced National Seismic System) for earthquake activities in Indonesia from 1960 to 2015. The experimental results showed the distribution of earthquake with spatio-temporal features.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KCIC.2017.8228591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Earthquake is one of natural disasters that often occurs in Indonesia and may cause damages on environmental and infrastructural properties, such as road, bridge, houses. The high rate of earthquake in Indonesia is that Indonesia is located at the crash point of three major tectonic plates: Eurasian Plate, Australian Plate, and Pacific Plate. This situation challenges a need to prepare participatory development for public awareness regarding the effects of earthquake and how to prepare for a possible hazard risk of earthquake. It helps the government and individuals for consequently saving their live. One of the ways to increase this awareness is to utilize mobile device through earthquake applications. This paper proposes a new system for cluster-based visualization of spatio-temporal earthquake data distribution in Indonesia through a mobile application. The system applies an automatic clustering to detect automatically number of clusters for earthquake data distribution and then analyze characteristics of earthquake behavior for each region in Indonesia. The system provides 4 main features which are (1) Data acquisition and preprocessing earthquake data, (2) Automatic clustering for spatio-temporal data distribution, (3) Mobile data exchange between user and earthquake data server, and (4) Spatio-temporal data visualization. For experimental study, the system used earthquake dataset of ANSS (Advanced National Seismic System) for earthquake activities in Indonesia from 1960 to 2015. The experimental results showed the distribution of earthquake with spatio-temporal features.