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INDONESIA
TEKNIK INFORMATIKA
Published by Universitas Islam Negeri Syarif Hidayatullah Jakarta
ISSN : 19799160     EISSN : 25497901     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Teknik Informatika merupakan wadah bagi insan peneliti, dosen, praktisi, mahasiswa dan masyarakat ilmiah lainnya untuk mempublikasikan artikel hasil penelitian, rekayasa dan kajian di bidang Teknologi Informasi. Jurnal Teknik Informatika diterbitkan 2 (dua) kali dalam setahun.
Arjuna Subject : -
Articles 282 Documents
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Detecting Hoax News in Indonesian Language Using Web-Based Multinomial Naïve Bayes Fitri Mintarsih; Ivan Ananda Putra; Arini; Victor Amrizal; Bayu Suseno, Hendra
JURNAL TEKNIK INFORMATIKA Vol. 19 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v19i1.50385

Abstract

This study addresses the growing problem of hoax news in Indonesia, which has contributed to social conflicts. It aims to develop an effective detection method using the Multinomial Naive Bayes algorithm. The study integrates Indonesian specific text preprocessing and feature engineering within the CRISP-DM framework to enhance classification performance. A dataset of 5,226 news articles (2,612 non-hoax and 2,614 hoax) was collected from kompas.com and turnbackhoax.id. Preprocessing steps included case folding, tokenization, stopword removal, and stemming tailored to the Indonesian language. Feature extraction was performed using the TF-IDF weighting scheme to convert text into numerical representations. The Multinomial Naive Bayes algorithm achieved an average accuracy of 86%, precision of 86%, recall of 86%, and F1 score of 86%, indicating stable and balanced performance. Furthermore, the trained model was successfully deployed using the Flask framework and stored in (pickle/joblib) format, demonstrating its practical applicability in real world systems. The results indicate that the integration of Indonesian specific preprocessing and TF-IDF feature representation significantly supports the effectiveness of the Multinomial Naive Bayes algorithm in detecting hoax news. This study provides a scalable and implementable approach to combating the spread of false information in Indonesian digital media.
Implementation of Augmented Reality in Occupational Health and Safety Practicum Learning to Enhance Student Competence at Politeknik Transportasi Darat Bali Handoko; Ahmad Soimun; Ni Luh Darmayanti
JURNAL TEKNIK INFORMATIKA Vol. 19 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v19i1.50597

Abstract

Occupational Health and Safety (OHS) competence is essential for vocational and polytechnic students in transportation-related fields where workplace hazards are frequent and potentially life-threatening. Conventional teaching methods, such as lectures and traditional practicums, often fail to simulate real-life risks or engage students effectively. This study examines the effectiveness of Augmented Reality (AR)-based practicum in enhancing OHS competence by providing realistic and interactive learning environments without exposing students to actual danger. Using a quantitative experimental design with a pretest–posttest control group, the research involved 55 second-semester students of Politeknik Transportasi Darat Bali. Class A (experimental) received AR-based instruction, while Class B (control) followed conventional training. Data were collected through questionnaires measuring knowledge, attitudes, and self-efficacy, and observation checklists assessing practicum performance. Instrument reliability was confirmed (Cronbach’s alpha = 0.879). Results indicated significant improvements in all five dimensions of OHS competence—safety knowledge, hazard recognition, procedural compliance, situational awareness, and safety communication—with posttest mean scores of 85–95 compared to 45–55 in pretests. Statistical analyses showed significant differences (p < 0.05) and strong effect sizes (Cohen’s d = 0.82–1.03). Student satisfaction exceeded 85% in interactivity, realism, and usability. The findings demonstrate that AR-based practicums enhance learning outcomes, motivation, and digital literacy, making AR a promising pedagogical innovation for transportation polytechnic education.

Page 29 of 29 | Total Record : 282

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