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All Journal TEKNIK INFORMATIKA Jurnal Penelitian Saintek Teknika Jupiter Jurnal Ekonomi : Journal of Economic Jurnal Ushuluddin SITEKIN: Jurnal Sains, Teknologi dan Industri Islam Futura Jurnal Varidika Jurnal Ekonomi dan Bisnis Islam Orbith : Majalah Ilmiah Pengembangan Rekayasa dan Sosial Jurnal Manajemen & Supervisi Pendidikan Jurnal Teknologi dan Sistem Komputer Jurnal Akuntansi dan Pajak Jurnal CoreIT Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal As-Salam Sebatik Jurnal Pengabdian Masyarakat AbdiMas Jurnal Nasional Komputasi dan Teknologi Informasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Informasi dan Multimedia Jurnal Informatika dan Rekayasa Elektronik JMB : Jurnal Manajemen dan Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) JUKI : Jurnal Komputer dan Informatika Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Informatika Terpadu Nusantara: Journal for Southeast Asian Islamic Studies Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Information Technology (BIT) Jurnal Abdimas Prakasa Dakara Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Malcom: Indonesian Journal of Machine Learning and Computer Science CONSEN: Indonesian Journal of Community Services and Engagement Sahabat Sosial: Jurnal Pengabdian Masyarakat SATIN - Sains dan Teknologi Informasi International Journal of Health Sciences Journal Of Artificial Intelligence And Software Engineering Media Kesehatan Politeknik Kesehatan Makassar Jurnal Indonesia : Manajemen Informatika dan Komunikasi Science, Technology, and Communication Journal Celebes Journal of Community Services
Nazruddin Safaat H
Fakultas Sains Dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau, Indonesia
Religion Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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APLIKASI TANYA JAWAB TENTANG FIQIH BERSUCI BERBASIS WEB Elvina Afriani; H, Nazruddin Safaat; Fikry, Muhammad; Affandes, Muhammad
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 2 (2024): Publikasi Artikel ZONAsi: Periode Mei 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i2.19970

Abstract

Dalam konteks perkembangan masyarakat yang semakin antusias terhadap teknologi dan keilmuan keagamaan, terdapat tantangan signifikan terkait akses terhadap informasi fiqih bersuci. Kesulitan mengakses dan mengorganisir data terstruktur dari berbagai sumber web seringkali menimbulkan kebingungan. Penelitian ini mengeksplorasi potensi penerapan Artificial Intelligence (AI), khususnya Question Answering System (QAS), sebagai solusi untuk meningkatkan akses dan pemahaman terhadap fiqih bersuci. QAS memungkinkan komputer memahami pertanyaan dengan bahasa alami dan memberikan respons berdasarkan informasi yang tersedia. Implementasi multimedia dalam pembelajaran dan pemanfaatan metode Natural Language Processing (NLP) juga diintegrasikan untuk meningkatkan efisiensi dan akurasi. QAS dibangun dengan frame work chatbot yang sudah ada yaitu streamlit dengan aplikasi Web sebagai antarmuka, Dengan memanfaatkan teknologi AI dan NLP, penelitian ini bertujuan mengembangkan platform pembelajaran yang menyajikan informasi fiqih bersuci secara mudah, cepat, dan terkini. Diharapkan, implementasi ini dapat memberikan kontribusi positif terhadap kemudahan akses dan pemahaman masyarakat terhadap aspek hukum Islam, khususnya mengenai kebersihan dan kesucian. Pengujian terhadap aplikasi menunjukkan kinerja yang relatif tinggi dalam memahami dan memproses bahasa manusia. Akurasi jawaban dengan BERTScore didapati precision sebesar 69%, recall sebesar 56% dan F1-score sebesar 83%.
Optimasi Pertanyaan Menggunakan Refined Query Dalam Sistem Tanya Jawab Kitab Hadis Wijaya, Andy Huang; Harahap, Nazruddin Safaat; Irsyad , Muhammad; Yanto, Febi
SATIN - Sains dan Teknologi Informasi Vol 10 No 1 (2024): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v10i1.1116

Abstract

This research aims to enhance a Question-Answering System for Hadith texts by incorporating Refined Query techniques and Large Language Models (LLMs), specifically OpenAI's GPT-4. Utilizing a dataset of 62,169 Hadith from nine significant books, the study follows a comprehensive methodology that covers data collection, analysis and preprocessing, and the integration of LangChain and OpenAI's Chat Model for optimized querying. The evaluation of the system's performance was conducted through comparative analysis before and after the application of Refined Query, BERTScore for text quality, and user-based quality assessments. Results demonstrate that Refined Query significantly improves the system's capacity to produce accurate and contextually relevant responses. Implementing Refined Query not only enhanced answer precision but also facilitated the generation of responses where none were previously available. The average BERTScore of 0.80351 and the quality of user responses with an average score of 87.3% for the student test and 90.3% for the hadith expert test further validate the efficacy of the system. This research advances the domain of Islamic information systems by demonstrating the fruitful integration of advanced computational techniques with religious texts, offering a fundamental step towards better access to the understanding of Islamic jurisprudence.
GLOBAL TRENDS AND KNOWLEDGE STRUCTURES IN HALAL TOURISM RESEARCH: INSIGHTS FROM BIBLIOMETRIC ANALYSIS Julina, Julina; Harahap, Nazruddin Safaat; Zahirah, Qonitah Rifda; Masrizal, Masrizal; Moi, Mohammed Rizki
Jurnal Ekonomi dan Bisnis Islam (Journal of Islamic Economics and Business) Vol. 11 No. 2 (2025): JULY - DECEMBER 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jebis.v11i2.80850

Abstract

Halal tourism has grown into one of the fastest-growing sectors of the travel industry worldwide, driven by rising demand for Sharia-compliant services. However, practical challenges persist in the industry, such as inconsistent service implementation, uncertainties in operational costs, and ambiguous international standardization. Our research aims to examine halal tourism using published studies from 2020 to 2025 to provide a comprehensive basis for forming a coherent picture of its evolution. Our research examines halal tourism using published studies from 2020 to 2025 to provide a comprehensive overview of its development. In this quantitative study, we utilized a bibliometric analysis approach. We retrieved data from the Scopus database and analyzed them using the Biblioshiny R module to explore publication trends, citation patterns, influential authors, journals, institutions, and country contributions. We also applied a keyword co-occurrence analysis to map the main intellectual and thematic patterns in halal tourism research. The findings demonstrate that Indonesia and Malaysia dominate both publication output and institutional productivity. We found that the Journal of Islamic Marketing is the most frequently cited journal in halal tourism research. The thematic mapping analysis highlights four principal clusters: Muslim consumer behavior and intention; service quality and competitiveness; sustainability and innovation; and governance and certification issues. This study contributes to  our integrative understanding of halal tourism scholarship by providing a comprehensive synthesis of performance indicators and thematic evolution. Our findings reveal emerging directions such as  digital transformation, halal lifestyle, and international collaboration, each of which is expected to guide future research efforts among scholars, practitioners, and policymakers.
Penerapan Langchain Retriever dengan Model Chat Openai dalam Pengembangan Sistem Chatbot Hadis Berbasis Telegram Niken Aisyah Maharani Herwanza; Nazruddin Safaat Harahap; Febi Yanto; Fitri Insani
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 1 (2024): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i1.514

Abstract

In Islamic studies, the Hadiths of Prophet Muhammad (SAW) hold significant value as guides for behavior and faith. However, access to understanding Hadiths often presents challenges, espe-cially for those who are not Hadith experts. The digitalization of Hadiths is still limited, making it time-consuming to find answers by sifting through the vast amount of available information. This research aims to create an efficient chatbot that provides answers related to Hadiths, including the original sources, quickly. The proposed solution is a technology-based approach through the development of a Hadith chatbot on Telegram, integrated with the LangChain Retriever and the GPT-4-1106-preview chat model from OpenAI. Using LangChain Retriever helps the chatbot find accurate answers by matching user questions with relevant Hadith databases, enhancing the ac-curacy of the chatbot's responses. The GPT-4-1106-preview chat model enables the chatbot to generate natural and context-appropriate responses, improving user interaction. The Rapid Ap-plication Development (RAD) method is applied in system development, through stages of Re-quirement Planning, User Design, Construction, and Cut-Over, including data analysis of Hadiths from the Nine Imam Hadith Books, totaling 62,169 Hadiths. The chatbot's performance evaluation uses the Scoring Evaluator framework with an average evaluation score of 0.97 and quality answer evaluation testing by five Hadith experts with an accuracy percentage of 90%. The Scoring Eval-uator test results indicate that the responses are highly accurate and aligned with Hadith refer-ences, and the quality answer evaluation test on a Likert scale shows respondents strongly agree with the system's answers. This research contributes to laypersons wanting to learn Hadiths by utilizing the chatbot as an interactive and innovative learning medium. Further research can expand the focus to complex interpretations of Musykil al-Hadith and asbab al-wurud to address deeper questions about Hadith interpretation.
Implementasi Large Language Models dalam Rancang Bangun Aplikasi Computer-Assisted Test Mobile Berbasis Android : Implementation of Large Language Models in the Design of Android-Based Computer-Assisted Test Mobile Applications Natadisastro, Yoga; Harahap, Nazruddin Safaat; Novriyanto, Novriyanto; Darmizal, Teddie
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 1 (2026): MALCOM January 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i1.2402

Abstract

Perkembangan teknologi digital telah mendorong penerapan Computer Assisted Test (CAT) sebagai sarana evaluasi pembelajaran yang mampu meningkatkan efisiensi dan ketepatan pelaksanaan ujian. Meskipun demikian, sebagian besar sistem CAT yang ada masih berbasis web, sehingga fleksibilitas penggunaan pada perangkat mobile belum optimal dan proses penyusunan soal ujian masih memerlukan waktu yang relatif lama. Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi CAT berbasis mobile Android yang terintegrasi dengan Large Language Models (LLM) guna mendukung pembuatan soal ujian secara otomatis. Proses pengembangan sistem dilakukan dengan menggunakan metode Rapid Application Development (RAD) agar tahapan analisis, perancangan, dan implementasi dapat dilakukan secara lebih cepat dan adaptif. Hasil pengujian menunjukkan bahwa aplikasi yang dikembangkan berfungsi dengan baik dan memperoleh tingkat penerimaan pengguna sebesar 89% berdasarkan hasil User Acceptance Test (UAT). Integrasi LLM dalam aplikasi CAT mobile mampu meningkatkan efisiensi dalam pembuatan soal serta mendukung pelaksanaan ujian digital yang lebih fleksibel dan efektif.
Co-Authors A, Adhyatma Abd. Ghofur Abdul Aziz Abdul Aziz Abdul Ghafur Afdhalel Vickro Afdhol Rinaldi Afifah, Dhiya Dwi Ahadi, Ridho Ahmad Fauzan Ahmad Sutrio Prihatinoto Ahmad, Muhammad Iqbal Ahmad, Rizmah Zakiah Nur Aji Bayu Permadi Akbar Akbar Ali Imran Andi Nursiah , Idris , Anjar Briliannita Annis Syahzuni, Barlia Aprilia, Risma Arda, Darmi Ari Anggarani Winadi Prasetyoning Tyas Arum, Hafidza Sanshia Aryanti, Dessy Ayunda , Ayunda Fatmasari Baehaqi Bayu Dwinata Putra Yatabri Cindy , Cindy Yolanda citra ainul mardhia putri Darmizal, Teddie Delifah, Nur Deny Dewana Hastanto Desy Prastyani Dhymas Julyan Riyanto Eka Pandu Cynthia Ekawati, Nur Eko Saputra Elvia Budianita Elvina Afriani Elyani, Elyani Ernawati Ernawati Erry Yudhya Mulyani Erwan Baharudin Fachrul Hakim Fadhilah Syafria Fahmi Kasri Fahrezy, Irgi Fahroha, Fani Afrida Fajar Febriyadi Fatima Akmal Putri, Fatima Akmal Fauzi Ihsan Febi Yanto Febrian Rizki Adi Sutiyo Fina Tamima Annahwa Fitra Kurnia Fitra Kurnia Fitri Insani Fitri Wulandari Ganiyev, Avazbek Gunawan Setia Wiguna Hastuti Hastuti Helviansyah, Try Henry Arianto Heriyanti Idhafi, Zaky Iis Afrianty Irsyad , Muhammad Iwan Iskandar Iwan Iskandar Iwan Iskandar Iwan Iskandar Jasril Jasril Jefitra Abdu Ar Razzak Julina Julina K, Hairuddin Kasmuri Kasmuri, Kasmuri Khairiah Khairiah Khamo, Khamo Waruwu kurnia, fitra Latif, Sarifudin Andi Lawami, Reza Haya Lestari Handayani Liza Afriyanti Lubis, Anggun Tri Utami BR. M. Fahrizal M. Septrio Rafinaldo M.Faisal Harahap Mar'arif, Muhammad Mulky Masduki Masduki Maulana, Muhammad Rizky Moi, Mohammed Rizki Muhammad Affandes Muhammad Fikry Muhammad Irsyad Muhammad Irsyad Muhammad Irsyad Natadisastro, Yoga Negara, Benny Sukma Niken Aisyah Maharani Herwanza Novi Yanti Novi Yanti Novri Kurniawan Kurniawan Novri Rahman Novriyanto Novriyanto Nugrahaini, Inten Nurhaedah , Nurhaedah Nurhayani Nurhayati , Nurhayati Okfalisa Okfalisa Oktariani Sari Oktavia, Lola Oppie, Oppie Meisya Tanjung Pannyiwi, Rahmat Pizaini Pizaini Pizzaini Pizzaini Poppy Gus Silviana Pratiwi, Reski Dewi Putri, Nadia Sandi Rahmad Kurniawan Rasyid, Djusmadi Reski Mai Candra Reski Mai Candra Reski Mai Candra Rina Anindita Rini Susanti Rita Musdalifah Rosidi, Imron Royhisar Martahan Simanungkalit Ruqaiyah, Ruqaiyah Rusnita, Rusnita Safiani A. Faaroek Saparuddin Siregar Saputra, Ikhsan Dwi Sari, Lydia Permata Sari, Oktariani Satriawan, Agus Serli, Serli Setiyati, Ritta Silfia Silfia Silitonga, Evalina Siregar, Siti Nurholiza Suci Rahayu Sugandi, Hatami Karsa Suharna, Jaka Suhartini Suhartini Surya Agustian Suwanto Sanjaya Syam, Rosida Teddie Darmizal Tondok, Theresa Umar, Risa Bernadip Usman Usman Vita Intan Safitri Wedi Kurniawan Wijaya, Andy Huang Windarti, Sriyani Yanuar Ramadhan Yermi, Yermi Yulis, Dian Meiliani Yusra Yusra, Yusra Zahirah, Qonitah Rifda Zuriani Rizki