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All Journal J@TI (TEKNIK INDUSTRI) Al-Ahkam Jurnal Pendidikan Biologi Indonesia Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Edukasi Islami: Jurnal Pendidikan Islam Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Teknik Industri Jurnal Abdi Insani Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Math-UMB.EDU Educativo: Jurnal Pendidikan Al-Marsus : Jurnal Manajemen Pendidikan Islam Jurnal Ilmu Pendidikan dan Bahasa Jurnal Pengabdian Mahakarya Masyarakat Indonesia Education Specialist Nawadeepa: Jurnal Pengabdian Masyarakat
Anizar Anizar
Industrial Engineering Departement Diponegoro University Jl. Prof. Sudarto, SH Tembalang Semarang 50239 Telp. 0247460052
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Transportation Other

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Production Process Quality Inspection with Machine Learning Approach Pradana, Ari; Matondang, Nazaruddin; Anizar, Anizar
Jurnal Sistem Teknik Industri Vol. 27 No. 4 (2025): JSTI Volume 27 Number 4 September 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i4.21005

Abstract

Technological developments in the industrial world encourage innovation in the inspection process, one of which is the application of artificial intelligence with machine learning. CV. XYZ is a palm oil machine component fabrication workshop that still applies manual quality inspection. Manual inspections are prone to errors, depend on human skills, and take a long time. This research aims to develop an automated inspection system using the YOLO (You Only Look Once) model which is a convolutional neural network (CNN) based algorithm for product defect detection. The manual inspection used is considered inconsistent, error-prone, and time-consuming. The use of machine learning is able to identify product defects such as geometry defect, porous defect, and surface defect. Evaluation of model performance using confusion matrix, loss graph, and precision recall curve. The results obtained show that the model has detection accuracy with a mAP50-95 value of 74.5%, mAP50 of 88.5%, and detection time of 0.0084 seconds per image.
REVITALIZING THE ISLAMIC EDUCATION CURRICULUM WITH A CONTEXTUAL APPROACH AT SD NEGERI 004 CEMAGA SELATAN Anizar, Anizar; Hasmiza, Hasmiza; Syahroni, Said Ali; Wan Chik, Wan Mohd Yusof
Edukasi Islami: Jurnal Pendidikan Islam Vol. 14 No. 001 (2025): Edukasi Islami: Jurnal Pendidikan Islam (Spesial Issue)
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v14i001.9290

Abstract

Purpose: This study explores the development of contextual approach-based Islamic Religious Education (PAI) teaching materials and their impact on students' critical thinking skills at SD Negeri 004 Cemaga Selatan. Method: Using a qualitative approach, data were collected through participatory observation, interviews, and document analysis, then analyzed using the Miles and Huberman model with triangulation for credibility. Result: Findings reveal that contextual teaching materials developed through systematic stages, needs analysis, design, and evaluation, effectively enhance critical thinking through project-based and transformative learning. Teachers act as facilitators, connecting learning content to real-world contexts, which improves student understanding, motivation, and critical awareness. However, time constraints, limited resources, and conventional learning habits pose implementation challenges. Conclusion: The study concludes that contextual and inclusive teaching materials foster critical thinking and character development aligned with contemporary societal needs, contributing to more effective and relevant educational practices that improve overall education quality.
Co-Authors Agista, Shella Asy Ari, M Khoirul Hadi al Aulia Ishak Budi Juliandi, Budi Dewi Murtiningsih Erwin Erwin Gunawan, Andri Hasmiza, Hasmiza Idhar Yahya Jadwaa Kurniawan, Marsnata Januar, Januar Junaidi Salam Karisma Riskinanti Khalida Syahputri Khawarita Siregar Kway Eng Hock Manurung, Martin Marheny Lukitasari Meilita Tryana Sembiring, Meilita Tryana Murna Muzaifa Nasution, Abdul Halim Nazaruddin M Nila Sari Nur Apriliani, Diana Nurul Husna Oties T Tsarwan Pradana, Ari Prawira, Yoga Putra, Wiene Surya Ramayanti, Dwi Ridho Habibi, Anggi Rita Khathir Rizki Maulana, Rizki Rusdi Hasan Sofyan Sofyan Sri Utami Suryani, Sitti Syahroni, Said Ali Tarigan, Indah Rizkya Torong, Zainul Bahri Vidayanti, Desiana Wan Chik, Wan Mohd Yusof Wiwitwijaya, Sulung Yulita, Belfa