Article Per Year (5 Year)
p-Index From 2021 - 2026
1.733
P-Index
This Author published in this journals
All Journal snimed Jurnal Teknologi Informasi dan Ilmu Komputer JUITA : Jurnal Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Technologia: Jurnal Ilmiah Journal of Information System and Technology (JOINT) Jurnal Ilmiah Teknik Informatika dan Komunikasi VISA: Journal of Vision and Ideas Journal of Innovative and Creativity
Rizki Surtiyan Surya
Universitas Muhammadiyah Pontianak
Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Comparison of the Performance of the DBSCAN and ST-DBSCAN Text Mining Algorithms for the Distribution of Ornamental Fish Sales Atika Putri; Putri Yuli Utami; Rizki Surtiyan Surya
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 2, July 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i2.28207

Abstract

The ornamental fish trade in Indonesia is growing rapidly through e-commerce and social media. The large, diverse, and unstructured sales data complicates accurate market mapping. This study analyzes the distribution of ornamental fish sales using density-based clustering algorithms, namely DBSCAN (Density-Based Spatial Clustering of Applications with Noise), which identifies clusters based on data density, enabling the formation of global distribution patterns while detecting outliers, and ST-DBSCAN (Spatial-Temporal DBSCAN), an extension of DBSCAN, which incorporates spatial dimensions to provide more detailed mapping based on geographic proximity. Data were collected through e-commerce platforms and social media such as Twitter. The results revealed that ornamental fish distribution is primarily concentrated in Java and also distributed in Sumatra, Kalimantan, Bali, and Sulawesi. DBSCAN produced five clusters with two noise points and achieved a Silhouette Coefficient of 0.791. Meanwhile, ST-DBSCAN produced six clusters with three noise points, a Silhouette Coefficient of 0.656, and a Davies-Bouldin Index of 0.985. Overall, DBSCAN effectively represents global distribution patterns and detects anomalies, while ST-DBSCAN enhances the analysis with spatial insights that highlight geographic variations. Together, these two algorithms provide a more comprehensive understanding of the distribution of ornamental fish sales by species and location.
Co-Authors Alviansyah Alviansyah Aryo Nugroho Atika Putri Christantie Effendy Dewi Yanti Fathan Fakhrana Auafar Hidayah, Miftah Istikoma Istikoma Izzati Muhimmah Nur Ayu Fitri Maharani Putri Yuli Utami Rahadian Kurniawan Ramadia Sa’ban Ridho Rahmadi Ridwan, Ridwan Wahyudi Wahyudi