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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Sains dan Teknologi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Jurnal Sistem dan Informatika Journal of Information Systems Engineering and Business Intelligence E-Dimas: Jurnal Pengabdian kepada Masyarakat Format : Jurnal Imiah Teknik Informatika JOIV : International Journal on Informatics Visualization Tech-E Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal ULTIMA InfoSys Jurnal ULTIMATICS ComTech: Computer, Mathematics and Engineering Applications Jurnal Teknologi Komputer dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Information Systems and Informatics bit-Tech eCo-Buss Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknik Informatika (JUTIF) International Journal of Digital Entrepreneurship and Business (IDEB) Algor eCo-Fin Abdi-Dharma SATIN - Sains dan Teknologi Informasi Inovasi Gagasan Abdimas & Kuliah Kerja Nyata RUBINSTEIN JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Jurnal Manajemen Kreatif dan Inovasi
Aditiya Hermawan
Universitas Buddhi Dharma
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences Other

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Tinjauan Sistematis terhadap Arsitektur Convolutional Neural Network untuk Deteksi Kantuk pada Pengemudi Berbasis Visual Michael Sidharta Dharma; Aditiya Hermawan
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 11 No. 3 (2026): September 2026
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.5914

Abstract

This study presents a systematic literature review (SLR) on the application of Convolutional Neural Networks (CNNs) for vision-based driver drowsiness detection. A total of 23 peer-reviewed studies published between 2021 and 2025 were analyzed using the PICOC framework and PRISMA 2020 guidelines. The review aims to identify trends in model architectures, datasets, preprocessing strategies, and performance outcomes. The findings show that transfer learning models, such as MobileNetV2, ResNet, and InceptionV3, along with hybrid architectures like CNN–LSTM, dominate recent research, achieving accuracies predominantly above 90%. However, performance varies significantly depending on dataset characteristics and experimental conditions. Key challenges include sensitivity to low-light environments, occlusion (e.g., glasses), and head pose variations. In addition, most studies rely on controlled datasets, limiting real-world applicability and generalization. Emerging trends emphasize lightweight architectures, temporal modeling, and efficiency-oriented optimization for real-time deployment. This review highlights the need for cross-dataset evaluation, more diverse and representative data, and robust model design to ensure reliable performance in real-world driving scenarios.
A Multimetric Evaluation of Ensemble and Neural Models for Imbalanced Credit Scoring on the German Credit Dataset Rino; Aditiya Hermawan; Elfindah Princes; Satria Abadi; Umarkhon Mukhamedov
Journal of Information System and Informatics Vol 8 No 5 (2026): October
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i5.1825

Abstract

Credit scoring models must balance global discrimination, minority-class detection, probability quality, and computational efficiency, particularly when default cases are less frequent than non-default cases. This study benchmarks Logistic Regression, Random Forest, XGBoost, and a Multilayer Perceptron using the German Credit Dataset, which contains 1,000 borrower records. All models were evaluated using a consistent preprocessing, partitioning, and imbalance-aware training protocol. Performance was assessed through ROC-AUC, PR-AUC, Balanced Accuracy, precision, recall, F1-score, Brier Score, and computational time. The results indicate moderate predictive performance across the evaluated models. XGBoost achieved the highest global discrimination with a ROC-AUC of 0.764, whereas the MLP obtained the highest PR-AUC of 0.378 and the lowest Brier Score of 0.123, indicating the best native probability quality among the evaluated models. No post-hoc probability calibration was applied. However, the MLP produced lower recall at the selected classification threshold. Logistic Regression required the least computation but recorded the lowest ROC-AUC and PR-AUC. Exploratory SHAP analysis was used to identify influential borrower attributes. These benchmark-specific findings demonstrate that model selection depends on the intended decision objective rather than architectural complexity alone.
Co-Authors A Damiyati Abidin Abidin Adith Aulia Rahman Agus Setiawan Albert Fernando Alvin Rahayu Amin Suyitno Andre Sahulata Andri Wijaya Andrie Suak Tiwa Anton Halim Anwan Chailes Aprilyanti, Rina Ardiane Rossi Kurniawan Maranto Ardiane Rossi Kurniawan Maranto Ardie Halim Arvin Lawistra Benny Daniawan Benny Daniawan Berlian, Pio Putra Budi Susilo Ceng Giap, Yo Culadi, Rafael Daniel Daniawan, Benny Dera Susilawati Desman Hidayat Deviastati Putri Sugiarta Karlim Edy edy Edy Edy Edy Edy Edy Edy Edy Edy Elfindah Princes Ellysha Dwiyanthi Kusuma Eso Hernawan Eva Eva Evan - Evien Fadeli Muhammad Habibie Fernando, Albert Gustayo, Teven Halim Wijaya, Ardie Hargiani, Fransisca Xaveria Hartana Wijaya Helen Griselda Henry Henry Indira Tyas Widyastuti Indrawan Intan Anjali Putri Jelvin Putra Halawa Jessen Laorenza Suwandi Joese Nathaniel Johan Santoso Jowensen, Indrico JUNAEDI Junaedi Junaedi Junaedi Junaedi Junaedi Junaedi Junaedi Junaedi Junaedi Kevin Ivone Sim Kevin Kevin Kevin Kevin Khanti Kusuma Dewi Kristen Kumala, Sonya Ayu Kurnia , Yusuf Kurniawan Maranto, Ardiane Rossi Leonardo Lianata Lianny Wydiastuty Lianny Wydiastuty Kusuma Lidya Lunardi Luis Alpianto Lunardi, Lidya Mampow, Vanessa Keysa Immanuela Maranto, Ardiane Rossi Kurniawan Margaretha Natalya Maria Goreti Mona Lako Mariana Purnamasari Mesakh Septiadi Simijaya Michael Sidharta Dharma michael vernannes marpaung Nandivadhano, Revatta Manggala Nathaniel Felix Fraderic Nathaniel, Joese Nazzua Azzahra Niki Destiandi Nisfu Ramadhan Ayatullah Habibi Oscar Hasan Putra Pannavira Philip Kristy Wijaya Qurrohman, Taufik Raditya Rimbawan O Raditya Rimbawan Oprasto Ramadhani, Tyas Ayu Rheza Vincentius Rico Yusuf RIFKHAN RIFKHAN Riki Riki Riki Riki Riki Riki RIKI RIKI, RIKI Rino Rino Rino Rino Robert Ananda Aritonang Rossi , Ardiane Rossi Kurniawan Maranto, Ardiane Rossi Salman Alfarisi Samuel Rhesa Santa Margita Satria Abadi Satria Abadi Sevtian Ferdian Shofa, Ghina Zahira Siska Damayanti Siti Zahrani Irawan Sonya Eliesse Dameria Stanley Ananda Sutopo, Prihantoro Syahdu Suwitno Tia Nurapriyanti Umarkhon Mukhamedov Wicaksono, Baghas Budi Willy Wijaya, Willy Wiyono Wydiastuty Kusuma, Lianny Yan Everhard Riwurohi Yance Gusnadi Yanti Pusparini Yanti, Lia Dama Yo Ceng Giap Yo Ceng Giap Yuliastati Putri Sugiarta Karlim Yunia Oktari Yusuf Kurnia Yusuf Kurnia Yusuf Kurnia, Yusuf