Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)

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Web Application of Classification of Potential Earthquake Region in Central Sulawesi

Authors
Jihad Nurul Islami1, *, Rohis Rachman1, Yayang Matira1, Junaidi1, Fadjryani1
1Statistics Department, Mathematics and Natural Sciences Faculty, Tadulako University, Palu, Indonesia
*Corresponding author. Email: jihadnurul16@gmail.com
Corresponding Author
Jihad Nurul Islami
Available Online 22 August 2023.
DOI
10.2991/978-94-6463-228-6_35How to use a DOI?
Keywords
Earthquake; K-Means; Clustering
Abstract

An earthquake is a shaking incident of the earth due to the movement or shift of rocks in the lithospheric part. This occurs suddenly due to the movement of tectonic plates. Central Sulawesi is an area of Sulawesi Island that has a high level of seismicity. This is because Sulawesi Island has many active local faults that can trigger earthquakes. Based on the historical records, there have been several earthquakes that have occurred in Central Sulawesi, and some of that is caused by tsunamis, in 1996 at Toli-toli and Palu and the latest one occurred in Palu, Sigi, Donggala, and Parigi on 28 September 2018. This research aims to group the potential earthquake area in Central Sulawesi using the K-Means method by applying the R packages. The results show that we obtained the 2 cluster data. The data characteristic in cluster 1 consists of data that has a low depth so that it is more likely to damage infrastructures but it has no potential for tsunamis. Moreover, the data characteristic in cluster 2 consists of data that has high-depth consequences it does not have any potential to damage the infrastructure, but it could potentially have a tsunami. Finally, the web application for potential grouping earthquake areas in Central Sulawesi using the K-Means algorithm is obtained in this research. This is essential to minimize the impacts of the damage due to earthquakes and tsunamis.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)
Series
Advances in Physics Research
Publication Date
22 August 2023
ISBN
978-94-6463-228-6
ISSN
2352-541X
DOI
10.2991/978-94-6463-228-6_35How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jihad Nurul Islami
AU  - Rohis Rachman
AU  - Yayang Matira
AU  - Junaidi
AU  - Fadjryani
PY  - 2023
DA  - 2023/08/22
TI  - Web Application of Classification of Potential Earthquake Region in Central Sulawesi
BT  - Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)
PB  - Atlantis Press
SP  - 312
EP  - 319
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-228-6_35
DO  - 10.2991/978-94-6463-228-6_35
ID  - Islami2023
ER  -