Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Khazanah Journal of Religion and Technology
Fathurohman, Diman
Unknown Affiliation
Religion Humanities Computer Science & IT Engineering Social Sciences

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

Found 1 Documents
Search

 1 
Thematic Grouping of Quranic Verse Translations Based on Word2Vec and K-Means Clustering Al Husaeni, Ahmad Badru; Putra, Alif Firmansyah; Purnama, Adi; Lerian, Adly Juliarta; Fathurohman, Diman
Khazanah Journal of Religion and Technology Vol. 3 No. 2 (2025): December
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v3i2.1748

Abstract

This study aims to group thematically translated texts of Indonesian Quranic verses using a Word2Vec-based machine learning approach and the KMeans Clustering algorithm. The process begins with text preprocessing, creating vector representations using Word2Vec, and then clustering using KMeans with quality evaluation using the Silhouette Score metric. The experimental results show that the model is able to form six main thematic clusters that semantically describe themes such as prayer and hope, moral evil, social law, the teachings of revelation, divinity, and the stories of figures and ethics. Two-dimensional visualization with PCA strengthens the interpretation of the formed clustering patterns. This study proves that the unsupervised learning approach can be relied upon to support the automation of digital thematic interpretation objectively and systematically. In addition, the results of this clustering have the potential to become the basis for the development of topic-based verse search systems, contextual Quranic learning applications, and technology-based exploration of Islamic studies. This study also supports the achievement of Sustainable Development Goals (SDGs) point 4 regarding increasing access to inclusive and quality education through information technology.
Co-Authors Adi Purnama Al Husaeni, Ahmad Badru Lerian, Adly Juliarta Putra, Alif Firmansyah