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All Journal Al-Dzikra: Jurnal Studi Ilmu al-Quran dan al-Hadits Journal of Computer Networks, Architecture and High Performance Computing
Rouf, M. Abd.
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Religion Computer Science & IT Education

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Comparison of Lexical and Semantic Approaches for Relevance Measurement in Quranic Verse Translation Retrieval Fauzan, Abd. Charis; Rouf, M. Abd.; Prabowo, Tito; Baqi, Utrodus Said Al
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5194

Abstract

This research explores the effectiveness of lexical and semantic approaches for relevance measurement in Quranic verse translation retrieval, focusing on Indonesian translations. Quranic verses encompass complex linguistic structures and diverse contexts, making precise retrieval challenging. Two retrieval methods were evaluated: lexical similarity, which focuses on exact word matches, and semantic similarity, which captures contextual meaning using word embeddings. The study utilized a dataset of Indonesian Quranic translations, preprocessed to normalize and tokenize text, with experimental queries derived from thematic exegesis on social responsibility. Evaluation was performed using precision, recall, and F1-score on top-5, top-10, and top-15 retrieved results. The lexical approach achieved perfect precision (100%) but exhibited lower recall (46%-58%), as it failed to retrieve relevant verses lacking exact matches. Conversely, the semantic approach demonstrated higher recall (56%-59%) and F1-scores (73%-74%) by identifying verses with contextual relevance, even in the absence of lexical similarity. The results reveal that while the lexical approach ensures precise matches, it overlooks semantic richness. The semantic approach, although computationally intensive, achieves greater contextual understanding. These findings highlight the potential for hybrid retrieval systems combining both approaches to enhance accuracy and relevance in Quranic information retrieval, supporting scholarly research and user engagement with Quranic content.
Comparison of Lexical and Semantic Approaches for Relevance Measurement in Quranic Verse Translation Retrieval Fauzan, Abd. Charis; Rouf, M. Abd.; Prabowo, Tito; Baqi, Utrodus Said Al
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5194

Abstract

This research explores the effectiveness of lexical and semantic approaches for relevance measurement in Quranic verse translation retrieval, focusing on Indonesian translations. Quranic verses encompass complex linguistic structures and diverse contexts, making precise retrieval challenging. Two retrieval methods were evaluated: lexical similarity, which focuses on exact word matches, and semantic similarity, which captures contextual meaning using word embeddings. The study utilized a dataset of Indonesian Quranic translations, preprocessed to normalize and tokenize text, with experimental queries derived from thematic exegesis on social responsibility. Evaluation was performed using precision, recall, and F1-score on top-5, top-10, and top-15 retrieved results. The lexical approach achieved perfect precision (100%) but exhibited lower recall (46%-58%), as it failed to retrieve relevant verses lacking exact matches. Conversely, the semantic approach demonstrated higher recall (56%-59%) and F1-scores (73%-74%) by identifying verses with contextual relevance, even in the absence of lexical similarity. The results reveal that while the lexical approach ensures precise matches, it overlooks semantic richness. The semantic approach, although computationally intensive, achieves greater contextual understanding. These findings highlight the potential for hybrid retrieval systems combining both approaches to enhance accuracy and relevance in Quranic information retrieval, supporting scholarly research and user engagement with Quranic content.
The Role of the Qur’an as a Source of Inspiration in the Development of Science and Technology Rouf, M. Abd.; Ananda Emiel Kamala; Fuad Ngainul Yaqin
AL-DZIKRA: JURNAL STUDI ILMU AL-QUR'AN DAN AL-HADITS Vol 20 No 1 (2026)
Publisher : Faculty of Ushuluddin and Religious Study, Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/al-dzikra.v20i1.30606

Abstract

Abstract This study aims to examine and explain the role of the Qur’an as a source of inspiration, a conceptual reference, and an ethical foundation in the development of science and technology, and to assess its relevance to the objectives of national education in shaping individuals who are faithful and pious. Through theme identification, narrative synthesis, and descriptive interpretation, this study reveals the role of the Qur’an as a driver of empirical observation, a basis for scientific ethics, and a source of theoretical insight for modern research. This study employs a descriptive qualitative method with a narrative literature review approach to analyze ten scholarly articles on “The Qur’an and Science/Technology.” The findings indicate that the Qur’an encourages scientific and technological development by promoting observation of nature, fostering ethical principles in knowledge, and describing natural phenomena. In conclusion, the Qur’an catalyzes innovation aligned with human values. Keywords: Human Values; Qur’an; Science.   Abstrak Penelitian ini bertujuan untuk mengkaji dan menjelaskan peran Al-Qur'an sebagai sumber inspirasi, rujukan konseptual, dan landasan etis dalam pengembangan sains dan teknologi, serta relevansinya dengan tujuan pendidikan nasional dalam membentuk manusia yang beriman dan bertakwa. Melalui identifikasi tema, sintesis naratif, dan interpretasi deskriptif, penelitian ini mengungkap peran Al-Qur'an sebagai pendorong observasi empiris, landasan etika ilmiah, dan wawasan teoritis untuk penelitian modern. Penelitian ini menggunakan metode kualitatif deskriptif dengan pendekatan narative literature review untuk menganalisis 10 artikel ilmiah tentang "Al-Qur'an dan Sains/Teknologi". Temuan menunjukkan bahwa Al-Qur'an memotivasi pengembangan ilmiah dan teknologi dengan mendukung observasi alam, etika pengetahuan, serta menggambarkan fenomena alam. Kesimpulannya, Al-Qur'an berfungsi sebagai katalisator bagi inovasi yang sejalan dengan nilai-nilai kemanusiaan. Kata Kunci: Al-Quran; Nilai Kemanusiaan; Sains.
Co-Authors Abd. Charis Fauzan Ananda Emiel Kamala Baqi, Utrodus Said Al Fuad Ngainul Yaqin Prabowo, Tito