Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Rizqy, Riza Rindriani
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Density Based Clustering Untuk Pemetaan Daerah Rawan Gempa Bumi Di Wilayah Sumatera Barat Menggunakan Metode DBSCAN Taufiq, Reny Medikawati; Firdaus, Rahmad; Handayani, Fitri; Muarif, Putri Fadhilla; Rizqy, Riza Rindriani
JURNAL FASILKOM Vol. 14 No. 3 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i3.8833

Abstract

Earthquakes are natural disasters that cannot be prevented or avoided. One of the areas affected is the West Sumatra region, where West Sumatra is one of the regions in Indonesia which is in the Sumatra basin which is vulnerable to earthquakes. Therefore, density-based clustering analysis can be carried out which aims to produce a point map of earthquake-prone areas in the West Sumatra region using the Density Based Spatial Clustering of Application with Noise (DBSCAN) method. In implementing the DBSCAN algorithm, epsilon and minpts parameters are required using the K-Nearest Neighbors method with evaluation of results using the Silhouette Coefficient. The results of DBSCAN clustering using KNN input parameters obtained a total of 3 clusters and 1 noise with a silhouette coefficient value of 0.310 from the 2010-2023 data period. However, from the testing stage without using KNN, we got a high silhouette score, namely 0.890 with 2 clusters and 1 noise.
Co-Authors Fitri Handayani Muarif, Putri Fadhilla Rahmad Firdaus Taufiq, Reny Medikawati