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All Journal Journal of Islamic Architecture Al-Dzikra: Jurnal Studi Ilmu al-Quran dan al-Hadits Jurnal Mantik JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of System and Computer Engineering ARMATUR : Artikel Teknik Mesin dan Manufaktur Al-Afaq: Jurnal Ilmu Falak dan Astronomi Hamalatul Qur'an : Jurnal Ilmu Ilmu Al-Qur'an Jurnal Pengabdian kepada Masyarakat Desa (JPMD) Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Mechanical and Manufacture At-Tadzkir: Islamic Education Journal
Ahmad Yahya
Department of Islamic Studies Federal College of Education PMB 3045 Kano State, Nigeria
Religion Aerospace Engineering Arts Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Social Sciences

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Book Recommendation System Based on Collaborative Filtering: User-Based, Item-Based, and Singular Value Decomposition Analysis Ishak, Ishak; Yahya, Ahmad; Yusri, Yusri
Journal of System and Computer Engineering Vol 6 No 4 (2025): JSCE: October 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i4.2201

Abstract

Recommender systems have become essential in the digital era to help users navigate overwhelming content. This study develops a book recommendation system using three collaborative filtering methods: user-based, item-based, and matrix factorization using singular value decomposition. We evaluate the system on a real-world dataset of 1,149,780 book ratings from 278,858 users across 271,360 books. A subset of 500 active users is used for experimental evaluation. The models are assessed using root mean square error and mean absolute error to measure rating prediction accuracy. The results show that the item-based collaborative filtering method achieves the best accuracy (root mean square error 7.362; mean absolute error 6.761), slightly outperforming the user-based approach (7.365; 6.809) and the matrix factorization method (7.643; 7.413). We analyze the results to understand the performance differences, noting the stability of item similarity as a key factor and the need for optimal tuning in the matrix factorization model. In conclusion, item-based collaborative filtering proved most effective for this context. This work provides insights into the comparative performance of foundational recommendation techniques and highlights practical considerations for improving book recommender systems.
Toward a smart tourism system for luwuk banggai: integrating ai assistant and interactive WebGis Yahya, Ahmad; Ishak, Ishak; Yusr, Yusri
Jurnal Mantik Vol. 9 No. 3 (2025): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The tourism potential of Luwuk Banggai is constrained by the lack of comprehensive and interactive information. Limited data on destinations, routes, and personalized guidance reduces the overall tourist experience. AI and WebGIS technologies offer innovative solutions for building a smarter tourism ecosystem. This study designed and implemented a smart tourism system in Luwuk Banggai by integrating an interactive AI assistant and WebGIS. The objective is to enhance the tourist experience through accurate information, personalized recommendations, intuitive visualizations, and to support tourism managers in decision-making. A system development approach was employed, beginning with needs analysis and literature review. The design involved a modular architecture an AI module for natural language interaction and a WebGIS module for spatial visualization. The implementation utilized modern web technologies with a responsive user interface and a structured database. System testing was conducted using black box testing to assess functionality and reliability. The developed smart tourism system successfully integrated an AI assistant capable of answering questions and providing recommendations, alongside an interactive WebGIS that displays locations and routes. Testing results indicated that the system operated according to specifications, improving both information access and interactivity. The integration of the AI assistant and WebGIS within the Luwuk Banggai smart tourism system effectively enhances the tourist experience and the efficiency of tourism information management. This system contributes to sustainable tourism and opens opportunities for future service personalization and spatial data analytics
Menyusuri Jejak Sanad Qira’at Sab’ah di Indonesia: Studi Historiografi atas Transmisi dan Pewarisan Ilmu Qira’at di Pondok Pesantren Hamalatul Qur’an Jombang Saputra, Aditya; Alfin Maulaya, Muhammad Dzikru; Yahya, Ahmad
Hamalatul Qur'an : Jurnal Ilmu Ilmu Alqur'an Vol. 7 No. 1 (2026): Juni 2026
Publisher : Pondok Pesantren Hamalatul Qur'an Jogoroto Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/hq.v7i1.892

Abstract

Meskipun ilmu qira'at memiliki sejarah panjang di Indonesia, kajian spesifik mengenai transmisi dan pewarisan sanad Qira'at Sab'ah di lingkungan pondok pesantren masih relatif terbatas. Penelitian ini berupaya mengisi kekosongan tersebut dengan berfokus pada Pondok Pesantren Hamalatul Qur'an Jombang, yang dikenal signifikan dalam mencetak penghafal al-Qur'an yang menguasai berbagai qira'at. Dengan demikian, menelusuri jejak sanad menjadi krusial untuk memahami bagaimana kemurnian ilmu qira'at tetap terjaga dari generasi ke generasi serta menjamin otoritas periwayatan yang sah. Penelitian ini bertujuan untuk menjawab bagaimana sejarah masuknya Qira'at Sab'ah ke Pondok Pesantren Hamalatul Qur'an, siapa tokoh sentral yang berperan, dan bagaimana transmisi sanadnya diwariskan. Melalui pendekatan kualitatif-deskriptif dan metode historiografi, penelitian ini mengandalkan data primer dari wawancara serta data sekunder dari literatur relevan yang dianalisis menggunakan analisis konten. Hasil penelitian menunjukkan bahwa sanad Qira'at Sab'ah di pondok pesantren ini terhubung secara mutawatir hingga Rasulullah SAW melalui jalur KH. Muhammad Munawwir Krapyak, yang kemudian diwariskan melalui tokoh-tokoh kunci seperti KH. Arwani Amin Kudus dan KH. Marzuki Khoiruddin. Kajian ini memetakan silsilah keilmuan tersebut dan mengidentifikasi bahwa proses transmisi sanad di pesantren ini dilakukan melalui dua tahap utama: pembelajaran kaidah melalui sistem daurah dan setoran hafalan dengan metode al-ifrad, jama' sugra, dan jama' kubra. Kontribusi utama penelitian ini adalah menyajikan historiografi rinci mengenai pewarisan sanad Qira'at Sab'ah pada sebuah institusi pesantren, yang menegaskan peran sentral pesantren dalam menjaga otentisitas tradisi keilmuan Al-Qur'an di Indonesia.
Co-Authors Aditya Saputra Ahmad, Mustapha Alfin Maulaya, Muhammad Dzikru Anis Sulalah Arinal Hamni Asep Rachmat, Asep Atmoko Nugroho Devid Frastiawan Amir Sup Dewi Jannati, Eidelweis Engkos Koswara Fagge, Shehu Dahiru Fathoni, Achmad Fathoni Gusri Akhyar Ibrahim Gustiyawan, Ahmad Handoko, Gesang Dwi Hibatullah, Lutfhi Ilham Hikmah, Hikmatul Karomah Ishak Ishak Islah, Muhammad Amirul Khamid, Mohammad Abdul Maylaffasya, Ghiyatska Shairafi Muhammad, Aliyu Yunus Mushthoza, Zidna Zuhdana Nawawi, Barkaa Alhudaebi Putra, Rafif Mulana Rizky, Al Dihan Fiery Tajudin, Hafidh Whisnumurti Adhiwibowo Winarno, Rivaniansyah Siacahyo Yanuar Burhanuddin Yusr, Yusri Yusri Yusri