Spatio-Temporal Associative Mining for Earthquake Data Distribution in Indonesia
Abstract
Indonesia is a country that has the highest seismically activity in the world. This country has really high earthquake frequency because of it traversed by three plate meeting plate and located in Ring of Fire area. The shaking events from an earthquake are very strong and propagate in all directions, capable of destroying even the strongest civilian buildings, so there is no doubt that there are many victims of human lives. The other facts, earthquake in Indonesia have seismic relation between the provinces. In this paper, we present a new earthquake Spatio-temporal mapping system based on the association confidence value from the result of associative mining process on earthquake data distribution in Indonesia. The system proposed three main functions which are (1) Data Acquisition which taken from four data provider, then preprocess and combine it become one, (2) Associative Mining process to get the rule of association earthquake between provinces in Indonesia, and (3) Earthquake Association Spatio-Temporal Model from the highest confidence value and Visualization. We use data from several earthquake data providers from 1900 until 2018. To perform our proposed Spatio-temporal earthquake association mapping system, we divided the data to become a 5-year discrete partition. After that, we mining the rule and get the highest confidence value from each period. This confidence value is used for modeling and visualization of our Spatio-temporal mapping system. As a result of this study, we manage to generate earthquake association risk mapping from 13 provinces that had earthquake connectivity between each other. The provinces are Aceh, Sumatera Utara, Bengkulu, East Java, Bali, NTB, NTT, Maluku, North Maluku, Gorontalo, North Sulawesi, Papua dan West Papua.
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References
Sunarjo, Muhammad Taufik Gunawan dan Sugeng Pribadi, Gempabumi Edisi Populer, Badan Meteorologi Klimatologi dan Geofisika (Jakarta), 2012.
Ryana Aryadita Umasugi, "Selama 2018, Gempa di Indonesia Meningkat 4.648 Kali Dibanding 2017," 29 December 2018. [Online]. Available: https://megapolitan.kompas.com/read/2018/12/29/10303711/selama-2018-gempa-di-indonesia-meningkat-4648-kali-dibanding-2017. [Accessed 15 July 2019].
Dewi Divianta, "Gempa Banten Akan Pengaruhi Lempeng Lainnya, Seberapa Bahaya?," Liputan 6, 24 Januari 2018. [Online]. Available: https://www.liputan6.com/regional/read/3236388/gempa-banten-akan-pengaruhi-lempeng-lainnya-seberapa-bahaya. [Accessed 10 April 2019]. DOI: https://doi.org/10.20961/mateksi.v6i4.36544
Aqdas Ikram, Usman Qamar, Developping an expert system based on association rules and predicate logic for earthquake prediction, Knowledge-Based Systems, Vol. 75, No. C, pp. 87-103, 2015. DOI: https://doi.org/10.1016/j.knosys.2014.11.024
Bin Hu, Ya-Fei Peng, Yuanyuan An, Rui-Yi Li, Guo-Ming Lu, Association analysis on casualty and residential environment data of earthquake, International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP), Chengdu, pp. 308-313, 2012. DOI: https://doi.org/10.1109/ICWAMTIP.2012.6413501
Wang Xi, Bo Xiao, Lin Zhi-qing, Chen Hao, An empirical research of critical incident of earthquake disaster based on credible Association mining, International Conference on Management Science & Engineering, Rome, pp. 1345-1352, 2011.
Yuan Zhou, Lianxiong Gao, An Apriori Based Algorithm Associated Point Line Pattern Applied in Seismic Spatial Data, International Conference on Artificial Intelligence: Technologies and Applications, Bangkok, pp. 187-190, 2016. DOI: https://doi.org/10.2991/icaita-16.2016.47
Jin A Lee, JongGyu Han, Kwang Hoon Chi, Mining quantitative association rule of earthquake data, International Conference on Hybrid Information Technology, Daejeon, pp. 349-352, 2009. DOI: https://doi.org/10.1145/1644993.1645059
Zhong Li, Jianqin An, Huichao Yin, Yutang Tian, Weihao Yu, Study on Association Rules Between Earthquake Event and Earthquake Precursory Information Anomalies, International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, Beijing, pp. 1-6, 2018.
Amin Endah Suliswati, Ali Ridho Barakbah, Tri Harsono and Yuliana Setyowati, Earthquake density measurement using Automatic Clustering, Knowledge Creation dan Intelligent Computing (KCIC), Malang, pp. 102-110, 2014.
Ali Ridho Barakbah, Tri Harsono and Amang Sudarsono, Automatic Cluster-oriented Seismicity Prediction Analysis of Earthquake Data Distribution in Indonesia, International Journal on Advanced Science Information Technology, Vol. 9, No. 2, pp. 587-593, 2019. DOI: https://doi.org/10.18517/ijaseit.9.2.7269
Muhammad Nur Shoddiq, Dedy Hidayat Kusuma, Mirza Ghulam Rifqi, Ali Ridho Barakbah, Tri Harsono, Neural Network for Earthquake Prediction Based on Automatic Clustering in Indonesia, International Journal of Informatics Visualization, Vol. 2, No. 1, pp. 38-43, 2018. DOI: https://doi.org/10.30630/joiv.2.1.106
Ken-ichi Fukui, Daiki Inaba, Masayuki Numao, Discovery of Damage Patterns in Fuel Cell and Earthquake Occurrence Patterns by Co-Occurring Cluster Mining, Twenty-Eighth AAAI Conference on Artificial Intelligence, Québec, pp. 19-26, 2014.
Evaldas Luksys, Eleana Asimakopoulou, Nik Bessis, Development of tools for data analysis of earthquakes, International Conference on Intelligent Networking and Collaborative Systems, Salerno, pp. 406-410, 2014. DOI: https://doi.org/10.1109/INCoS.2014.24
Arna Fariza, Nanda Pratyaksa Abhimata, Jauari Akhmad Nur Hasim, Earthquake Disaster Risk Map in East Java, Indonesia, using Analytical Hierarchy Process - Natural Break Classification, Knowledge Creation and Intelligent Computing (KCIC), Manado, pp. 141-147, 2016. DOI: https://doi.org/10.1109/KCIC.2016.7883638
Man Li, Zhenhua Zou, Guodong Xu, and Peijun Shi, Mapping Earthquake Risk of the World, Journal of World Atlas of Natural Disaster Risk, IHDP/Future Earth-Integrated Risk Governance Project Series, pp. 25-39, 2015. DOI: https://doi.org/10.1007/978-3-662-45430-5_2
Lilik Kurniawan, Bernardus Wisnu Widjaja and Willem Rampangilei, Risiko Bencana Indonesia (RBI), Badan Nasional Penanggulangan Bencana (Jakarta), Ed.1, pp. 38, 53-61, 2016.
Daniela Faur, Mihai Datcu, A Rapid Mapping Approach to Quantify Damages Caused by the 2003 Bam Earthquake Using High Resolution Multitemporal Optical Images, International Workshop on the Analysis of Multitemporal Remote Sensing Images, Annecy, pp. 1-4, 2015. DOI: https://doi.org/10.1109/Multi-Temp.2015.7245752
Junxiang Zhang, A fuzzy approach for reforming earthquake map, International Conference of the North American Fuzzy Information Processing Society, Chicago, pp. 383-388, 2003.
F. Benjamin Zhan, Zhongliang Cai, Yiqing Zhu, Jiangcun Zhou, A geospatial analytical system for mapping global medium-term earthquake probabilities, International Conference on Systems and Informatics, Yantai, pp. 2276-2279. 2012.
Xiang Ding, Xiaoqing Wang, Long Wang, Youhua Zheng, The development of catastrophe earthquake risk estimation system based on GIS, IEEE International Geoscience and Remote Sensing Symposium, Vancouver, pp. 4352-4354, 2011.
Qing-Quan Tan, Qun Liu, Hua-Chun Luo, Bo Liu, Jian Liu, Design and implementation of building information collection system for earthquake disaster scenario construction based on GIS, International Conference on Computer Science and Network Technology, Dalian, pp. 51-54, 2017.
Meinard Muller, Information Retrieval for Music and Motion, Springer(Germany), Vol. XVI, pp. 69-74, 2007. DOI: https://doi.org/10.1007/978-3-540-74048-3
Indra Budi, Stéphane Bressan, Nasrullah, Co-Reference Resolution for Indonesian Languange Using Association rules, The Eighth International Conference on Information Integration and Web-based Applications Services, Yogyakarta, pp. 117-126, 2006.
Jiawei Han, Micheline Kamber and Jian Pei, Data Mining: Concepts and Techniques, Morgan Kaufmann (Waltham), Ed.3, pp. 243-256, 2000.
Roberto J. Bayardo Jr., Rakesh Agrawal, Mining the Most Interesting Rule, KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, San Diego, pp. 145-154, 1999. DOI: https://doi.org/10.1145/312129.312219
Rakesh Agrawal, Ramakrishnan Srikant, Fast Algorithms for Mining Association Rule, IBM Almaden Research Center, California, pp. 1-32, 1994.
Tim Pusat Studi Gempa Nasional, Peta Bahaya dan Sumber Gempa
Indonesia Tahun 2017, Kementrian Pekerjaan Umum dan
Perumahan Rakyat (Bandung), 2017.
John P. Rafferty, "Richter scale,” 27 September 2017. [Online]. Available: https://www.britannica.com/science/Richter-scale. [Accessed 21 Juni 2019].
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