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All Journal Jurnal Pendidikan Informatika dan Sains EDUMATIC: Jurnal Pendidikan Informatika Al Ahkam Syaksia : Jurnal Hukum Perdata Islam Al Qisthas : Jurnal Hukum dan Politik Santri: Journal of Pesantren and Fiqh Sosial Journal of Applied Computer Science and Technology (JACOST) Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Jurnal Studi Gender dan Anak BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer ANWARUL: Jurnal Pendidikan dan Dakwah Digital Muslim Review Journal of Renewable Energy and Smart Device
M. Iman Wahyudi
Universitas Islam Negeri Sultan Maulana Hasanuddin Banten
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

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Analisis Hukum Islam dan Hukum Positif Terhadap Penulisan Karya Ilmiah Hasil Chat-Bot Artifical Intelligence (AI) Wahyudi, M. Iman; Rosdiana , Anna; Mustaghfiroh, Mustaghfiroh; Riyan , Muhammad
AL-QISTHAS: JURNAL HUKUM DAN POLITIK Vol. 16 No. 2 (2025): Juli-Desember 2025
Publisher : Jurusan Hukum Tata Negara Fakultas Syariah UIN Sultan Maulana Hasanuddin Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tantangan era digital sangat beragam dan kompleks, karena data menjadi sangat penting dan berharga, tetapi keamanan dan privasinya memudar setiap detik, melalui akses ilegal, atau bahkan pencurian data Saat ini banyak institusi semakin khawatir tentang potensi dampak negatif yang menerpa para akademisi terkait penggunaan aplikasi berbasis Language Learning Model (LLM) seperti ChatGPT segingga munculnya plagiarism, plagiarisme masih merupakan bentuk pelanggaran akademik yang sering terjadi, sehingga perlu dikaji dan diteliti secara mendalam terkait perspektif hukum islam dan hukum positif, yang bermuara pada pemberian rekomendasi hukum yang mengikat terkait praktik ini. Metode penelitian yang digunakan dalam laporan penelitian ini menggunakan studi pustaka (library research), dalam studi ini penulis menjadikan beberapa buku, e-book, jurnal-jurnal ilmiah dan skripsi yang relevan dari sumber yang terpercaya sebagai referensi dalam penulisan ini. Hasil penelitian menunjukkan bahwa; Putusan Hukum Positif menunjukkan bahwa Hukum ini mengakui hak eksklusif pencipta untuk melindungi karya mereka dan memberikan sanksi bagi siapa saja yang melanggar hak tersebut. Berdasarkan UU Hak Cipta, tindakan plagiasi dianggap sebagai pelanggaran serius yang bisa dikenakan sanksi pidana dan perdata, sedangkan putusan hukum islam terkait kejahatan kekayaan intelektual tidak dapat dihukum dengan Hadd tetapi "hukuman diskresioner," yaitu, "Ta'azir",. Laporan ini merekomendasikan penelitian lebih lanjut untuk mengisi kesenjangan yang belum tersentuh.
GENERATIVE AI DALAM HUKUM KELUARGA ISLAM: TREN, ETIKA, DAN LIMITASI EPISTEMOLOGIS Muhammad Riyan; M. Iman Wahyudi; Fahrurozi Fahrurozi; Muhammad Adieb
Syaksia: Jurnal Hukum Perdata Islam Vol 27 No 1 (2026): Januari-Juni
Publisher : Islamic Civil Law Departement of Shari'a Faculty at Islamic State University of Sultan Maulana Hasanuddin Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37035/syaksia.v27i1.12960

Abstract

Abstract (in English) This study presents a Systematic Literature Review (SLR) of 56 studies (2020–2026) on the use of Generative Artificial Intelligence (GenAI) and Large Language Models (LLM) in the domain of Islamic family law. Following the PRISMA protocol, this study maps application trends, analyzes epistemological limitations, and identifies key ethical challenges in the utilization of AI technology for the interpretation, extraction, and automation of Islamic family law covering the fields of marriage, divorce, inheritance, and childcare (hadhanah). The results of the analysis showed a significant growth in publications of 214% during the study period, with a predominantly focus on inheritance law (41.1%) and the development of Islamic-specific domain-specific LLMs (28.6%). Three critical epistemological limitations are identified, (1) the desacralization of fiqh knowledge through algorithmic reduction, (2) the inability of LLMs to authentically replicate the methodology of ushul fiqh, and (3) incompatibility with the principles of Maqāṣid al-Sharī'ah. Five key ethical challenges were found to include Islamophobic algorithmic bias, the risk of doctrinal misinformation, data privacy threats, the erosion of religious authority, and over-reliance on AI-based decision-making. The novelty of this research lies in the offering of an integrative evaluation framework of Ushul-AI that synergizes the methodology of ushul fiqh with the principles of contemporary LLM evaluation. Research implications include recommendations for the development of labeled Islamic law corpus, AI-Islamic ethical audit standards, and scholar-centered Human-AI collaboration models for Islamic family law contexts. Keywords: Generative AI, Large Language Models, Islamic Family Law, Systematic Literature Review.
Sistem Sistem Informasi Akreditasi Online Multi-LAM untuk Manajemen Dokumen Program Studi Eko Wahyu Wibowo; M. Iman Wahyudi; Angga Kurnia Putra
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September (In Progress)
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.214

Abstract

Study-program accreditation requires supporting evidence to be organised in a valid, current, and traceable manner. This need becomes more complex when study programs within one faculty are evaluated by different independent accreditation agencies, such as LAMSAMA and LAM INFOKOM. This study develops a web-based multi-accreditation-agency information system for managing accreditation documents at a Faculty of Science and Technology. The system was developed using the System Development Life Cycle, which consists of requirements analysis, design, coding, testing, and maintenance. The results show that the system supports three user roles, document mapping by study program, accreditation agency, and criteria, as well as upload, download, validation, revision, and monitoring functions. Black-box testing indicates that the main functional scenarios run as expected. The proposed system contributes an adaptive document management model that can be updated when accreditation criteria or agency schemes change.
Hybrid Rule-Based and Anomaly Detection Model for Wholesale Sales Risk Classification Dwi Atmodjo WP; Winny Purbaratri; Lely Priska D Tampubolon; Nani Krisnawaty Tachjar; Deden Prayitno; Budi Indiarto; M Iman Wahyudi
Journal of Renewable Energy and Smart Device Vol. 4 No. 1 August 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v4i1.1184

Abstract

Large-scale wholesale transaction systems face increasing risks from suspicious purchasing patterns, abnormal customer behavior, and operational inconsistencies, while conventional rule-based methods may fail to identify previously unseen patterns. This study develops a decision-level hybrid risk classification model that combines expert-derived business rules with post-hoc anomaly decisions from Isolation Forest and DBSCAN. The modules are orchestrated in Apache Airflow and executed through a scheduled daily DAG for batch transaction monitoring. The model was evaluated retrospectively using 12,476 wholesale transactions recorded over 12 months in a single company. The business rules and ground-truth labels were elicited from the same expert pool; therefore, the separation between model development and evaluation was implemented at the data level through independent training, validation, and test subsets. The Hybrid Rule + Isolation Forest configuration achieved the highest accuracy at 87.5%, compared with 74.3% for the authors' rule-based baseline. The resulting 13.1-percentage-point gain should be interpreted as an internal ablation result rather than a comparison with a state-of-the-art external model. For operational efficiency, the automated workflow processed a batch of 1,000 transactions in 42 seconds, compared with approximately 3 hours of manual processing. These findings suggest that combining interpretable business rules with anomaly detection at the decision level can improve risk classification while retaining operational transparency. However, because the evaluation used data from only one wholesale company and shared expert sources for rules and labels, validation across independent companies and expert groups is required before broader generalization.
Analisis Nilai Panca Jiwa di Pondok Pesantren Modern dan Kaitannya Dengan Nilai Pendidikan Karakter Bangsa M. Iman Wahyudi; Ade Fakih Kurniawan; Fandy Adven Fandy Adpen Lazzavietamsi
ANWARUL Vol 1 No 1 (2021): ANWARUL: Jurnal Pendidikan dan Dakwah
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.471 KB) | DOI: 10.58578/anwarul.v1i1.27

Abstract

The expected of national education goals are stated in the National Education System Law no. 20 of 2003 is to educate the student to be human beings who has believe in God, fear of God Almighty, have noble character, healthy, knowledgeable, capable, creative, independent, become democratic and also responsible citizens. This paper describes how the implementation of the Panca Jiwa of modern Islamic boarding schools in education is carried out by teachers (ustadz and ustadzah) at Modern Islamic Boarding Schools. The results that obtained from this analysis are; Modern Islamic Boarding Schools with the implementation of the Panca Jiwa Pondok have implemented as good as possible to build students’ character or what is called by the instilling of moral values to their students as proclaimed by the 2003 National Education System Constitution.
Co-Authors Ade Eman Supratman Ade Fakih Kurniawan Angga Kurnia Putra Budi Indiarto Deden Prayitno Dedi Sunardi Dwi Atmodjo WP Fandy Adven Fandy Adpen Lazzavietamsi Lely Priska D Tampubolon Mardian Mardian Megandani, Adi Miftah, Ahmad Harisul Muhammad Adieb Muhammad Riyan Muliasih, Wanda Tsania Mustagfiroh, Mustagfiroh Mustaghfiroh, Mustaghfiroh Nani Krisnawaty Tachjar Rifki Abdul Aziz Riyan , Muhammad Rosdiana , Anna Safiudin, Safiudin Saidu, Sabo Jamilu Sa’idu, Sabo Jamilu Sopiullah Sopiullah Sopiullah Sopiullah Syafrizal, Reza Umiari, Fahrurozi Wahyu Wibowo, Eko Winny Purbaratri