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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Proceeding of the Electrical Engineering Computer Science and Informatics PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo JOURNAL V-TECH (VISION TECHNOLOGY) JATI (Jurnal Mahasiswa Teknik Informatika) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Jurnal Teknik Informatika (JUTIF) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal of Trends Economics and Accounting Research Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Komunikasi, Sains dan Teknologi (JKST) Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Manajemen Sistem Informasi Jurnal of Information Technology and Society (JITS) Jurnal Pengabdian Masyarakat Unama Akademika Prosiding Seminar Nasional Ilmu Teknik
Purnama, Benni
Universitas Dinamika Bangsa
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
RNN-Based Intrusion Detection System for Internet of Vehicles with IG, PCA, and RF Feature Selection Purnama, Benni; Winanto, Eko Arip; Sharipuddin, Sharipuddin; Sandra, Dodi; Nurhadi, Nurhadi; Afuan, Lasmedi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5293

Abstract

Cyberattacks in the Internet of Vehicles (IoV) threaten road safety and data integrity, requiring intrusion detection systems (IDS) that capture temporal patterns in vehicular traffic. This study develops a Recurrent Neural Network (RNN)-based IDS and evaluates three feature-selection strategies—Information Gain (IG), Principal Component Analysis (PCA), and Random Forest (RF)—on the CICIoV2024 dataset. Features are normalized using Min–Max scaling before being fed into the RNN classifier. The models achieve perfect classification on held-out tests (accuracy/precision/recall/F1 = 1.00). However, probabilistic evaluation reveals low ROC–AUC scores (IG: 0.572, PCA: 0.429, RF: 0.415), indicating limited discriminative margins and potential overfitting or calibration issues despite flawless confusion matrices. PCA and RF further reduce computational overhead during inference compared to IG. These findings highlight that relying solely on accuracy can be misleading for IDS evaluation; temporal RNNs should be complemented with probability-aware training, calibration, or hybrid architectures. This work contributes a temporal-aware IDS framework for IoV and motivates future research on real-time deployment, hybrid RNN-CNN/LSTM models, and adversarial robustness to improve generalization and safety of connected vehicles
Decision Support System for Selecting Outstanding Religious Counselors in Jambi Province Using Analytical Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution Suryani, Suryani; Zaenal Abidin, Dodo; Purnama, Benni; Gunardi, Gunardi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5385

Abstract

Religious counselors play an essential role in fostering religious moderation, strengthening community cohesion, and promoting social harmony. However, the evaluation of their performance remains largely manual, leading to subjectivity, inconsistency, and limited accountability. This study develops a web-based Decision Support System that integrates the Analytical Hierarchy Process and the Technique for Order Preference by Similarity to Ideal Solution to enhance objectivity, transparency, and data-driven evaluation. The Analytical Hierarchy Process was applied to determine the importance of five criteria—portfolio, scientific paper, program video, presentation or interview, and absenteeism—through expert pairwise comparisons. The Technique for Order Preference by Similarity to Ideal Solution was then used to rank twenty-four religious counselors from the Regional Office of the Ministry of Religious Affairs in Jambi Province. The results show that portfolio (47.4%) and presentation or interview (24.4%) were the most influential criteria, while the others served as complementary factors. Counselors with comprehensive documentation and strong communication skills consistently ranked higher, validating the system’s analytical reliability. This study’s novelty lies in applying a multi-criteria decision-making framework within the religious sector, directly aligned with the 2024 Technical Guidelines for the Islamic Religious Counselor Award (Keputusan Dirjen Bimas Islam No. 352/2024). Furthermore, this research supports the Ministry of Religious Affairs’ Eight Priority Transformation Programs (Asta Protas), particularly in digitalizing governance and promoting transparent, accountable, and data-driven management. From an informatics perspective, this system demonstrates the effective implementation of decision-support algorithms in a web-based environment, highlighting the contribution of information technology to evidence-based performance evaluation.
Co-Authors Afriany, Renny Ahmad Heryanto Apriyani Bedine Kerim Benediktus Rolando Beni Irawan Darmawijoyo, Darmawijoyo Deris Stiawan Dodi Sandra Dwi Putri, Salsabila An-nisa Eko Arip Winanto Eko Susanto Etriyanti, Siska Falencia, Feiren Firmansyah Gunardi Gunardi Herry Mulyono Herry Mulyono Hetty Rohayani Husaein, Ahmad Ibnu Sani Wijaya Idris, Mohd. Yazid Jasmir Jasmir, Jasmir Jefri, Antonius Joni Devitra, Joni Jumairi, Nopri Khairuldi Kurniabudi Kurniabudi, Kurniabudi Lasmedi Afuan Lazuardi Yudha Pradana Lola Yorita Astri, Lola Yorita M Riza Pahlevi Meisak, Despita Mohd Yazid bin Idris Mohd. Yazid Idris Mohd. Yazid Idris Mohd. Yazid Idris Muhammad Aji Triatama NAIBAHO, RONALD Nita Christine Nuraini, Ike Nurhadi Nurhadi Nurhadi Nurul Marwiyah, Siska Puri, Fathia Putri, Azhiah Rahmaningtyas, Anindya Rahmat Budiarto Riska Pertiwi Ningrum Rohaini, Eni Samsuryadi Samsuryadi Setiawan Assegaf SETIAWAN, HANIF Shairuppdin, Shairuppdin Sharipuddin Sharipuddin, Sharipuddin Sharipuddin, Sharipuddin SUROTO Syaifudin Syaifudin, Syaifudin Tanuwijaya, Michael Valencia, Valencia Widiyanto, Dimas Akhbar Widyawati, Nilu Gede WIJAYA, IBNU SANI Winanto, Eko Arif Winarto, Eko Arip Yaticha, Ni Luh Ayu Yulandari, Restika Yundari, Yundari Zaenal Abidin, Dodo