The Indonesian Journal of Computer Science
Vol. 13 No. 4 (2024): Indonesian Journal of Computer Science (IJCS)

Implementation of Density-Based Spatial Clustering of Applications with Noise and Fuzzy C – Means for Clustering Car Sales

Auliani, Sephia Nazwa (Unknown)
Mustakim (Unknown)
Novita, Rice (Unknown)
Afdal, M (Unknown)

Article Info

Publish Date
25 Jul 2024

Abstract

This study compares the performance of two clustering algorithms, Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Fuzzy C-Means (FCM), in clustering car sales data at PT. XYZ. The dataset, comprising sales transactions from 2020 to 2023, includes information about vehicles, customers, and transactions. Preprocessing methods such as data transformation and normalization were applied to prepare the data. The results indicate that DBSCAN produces clusters with better validity, measured using the Silhouette Score, compared to FCM. Specifically, DBSCAN achieves the highest Silhouette Score of 0.7874 in cluster 2, while FCM reaches a maximum score of 0.3666 in cluster 3. Thus, DBSCAN proves to be more optimal for clustering car sales data at PT. XYZ, highlighting its superior performance in terms of cluster validity.

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Journal Info
The Indonesian Journal of Computer Science
Website

Abbrev

ijcs

Publisher

STMIK Indonesia Padang

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information ...