Open access Journal SINTA 3
IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION
BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 2 (2023) · pp. 0867–0878
- ISSN
- 2615-3017, 1978-7227
- Published
- 2023-06-11
- Publisher
- PATTIMURA UNIVERSITY
- Language
- eng
Abstract
West Java area is located on the Pacific Circum and Mediterranean Circum routes, this causes West Java area to be an unstable area that is characterized by many active working volcanoes and frequent earthquakes. An analysis of the grouping of earthquake data in West Java Province area is urgently needed. The purpose of this study was to classify areas based on the density of earthquake occurrence areas in West Java using Density-Based Spatial Clustering of Application with Noise (DBSCAN). The population in this study are all earthquake events occurred in 2021. While the sample used in this study is data on the location of the distribution of earthquakes in West Java Province in 2021 taken from the BMKG online data website at dataonline.bmkg.go.id. This research began with nearest-neighbor analysis to see patterns of data distribution. If the data distribution pattern is grouped, then DBSCAN analysis can be continued. The DBSCAN algorithm uses a combination of parameters, namely minimum points (MinPts) and epsilon (Eps). Cluster results are evaluated using the silhouette coefficient. Then, in this study, deeper data exploration was carried out in three ways, namely: (1) Clustering based on the highest silhouette value, (2) clustering by lowering the MinPts value, and (3) clustering based on the smallest upper limit (supremum) value of the silhouette coefficient. The data exploration here aimed to form more clusters while still considering the silhouette coefficient value limits so that there are more areas prone to earthquakes but also maintaining the validity of the results obtained. Next, determine the best cluster results by comparing the cluster results obtained. The best cluster results were obtained at Eps=10000 and MinPts=3 which formed 12 clusters with a silhouette coefficient value of 0.713, which means that the clusters have a strong structure. It is hoped that the information regarding the grouping of areas where earthquakes frequently occur can be used as a form of earthquake disaster mitigation and minimize the impact of losses due to the earthquake.
Collaboration network of the authors
19 authors · 25 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Islamic University of Indonesia
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Nahdah Ghina Handayani | Islamic University of Indonesia | 1 |
| Nur Faizin | Islamic University of Indonesia | 1 |
| Arum Handini Primandari | Islamic University of Indonesia | 1 |
| Octavia Rahmawati | Islamic University of Indonesia | 1 |
| Nanda Lailatul Humairah | Affiliation unknown | 1 |
| Ashabul Akbar Maulana | Islamic University of Indonesia | 1 |
| Alfa Yuliana | Islamic University of Indonesia | 1 |
| Fitri Amalia | Islamic University of Indonesia | 1 |
| Riza Amelia Choerunnisa | Islamic University of Indonesia | 1 |
| Rosiana Rahma Dewi | Islamic University of Indonesia | 1 |
| Edy Widodo | Islamic University of Indonesia | 1 |
| Ika Meiza Maharani | Islamic University of Indonesia | 1 |
| Mega Luna Suliztia | Islamic University of Indonesia | 1 |
| Malecita Nur Atala Singgih | Islamic University of Indonesia | 1 |
| Shazia Ayesha Azzahra | Islamic University of Indonesia | 1 |
| Wiranti Nugrah Andini | Islamic University of Indonesia | 1 |
| Irwan Sutisna | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.