cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M. Miftach Fakhri
Contact Email
fakhri@unm.ac.id
Phone
+6282191045293
Journal Mail Official
irwansyahsuwahyu@unm.ac.id
Editorial Address
Kampus UNM Parangtambung, Jl. Daeng Tata Raya, Makassar, Sulawesi Selatan, Indonesia
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Information Technology Education Journal
Published by Universitas Negeri Makassar
ISSN : 28097971     EISSN : 2809798X     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education
INTEC Journal is published by the Informatics and Computer Engineering Education Study Program at Makassar State University. INTEC Journal is published periodically three times a year, containing articles on research results and / or critical studies in the field of Informatics and Computer Engineering Education from students, lecturers, and practitioners from universities or research institutions. The INTEC journal already has a print version ISSN with the number 2809-798X in 2022 and an online version ISSN with the number 2809-7971. INTEC Journal contains articles on informatics and computer engineering education in particular: learning multimedia e-learning/blended learning, information system, artificial intelligence and robotics, embedded expert system, big data and machine learning, software and network engineering
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 221 Documents
 17   18   19   20   21 
Implementation of Augmented Reality Integrated with Problem-Based Learning in Structural Physics to Enhance Students’ Risk Analysis Skills Jeffrey Payung Langi
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9466

Abstract

This study aims to examine the effectiveness of implementing Problem-Based Learning (PBL) integrated with Augmented Reality (AR) in improving students’ risk analysis skills in the Structural Physics course at the State Polytechnic of Ambon. The research background is grounded in the importance of active learning strategies and interactive visual tools in bridging abstract concepts such as stress, load, and potential structural failure. A quasi-experimental approach with a one-group pretest–posttest design was employed. The research subjects consisted of 30 fourth-semester students from the Civil Engineering study program. Data were collected through pretests and posttests, PBL activity observations, questionnaires on perceptions of AR, and learning documentation. The results indicate a significant improvement in students’ risk analysis skills after participating in PBL–AR-based learning. The t-test results showed a p-value < 0.05, while the N-Gain scores fell into the medium category across all aspects, including risk identification, stress evaluation, and mitigation strategies. Observations revealed active student engagement in all stages of PBL, and the questionnaire indicated positive perceptions toward AR, particularly regarding its usefulness and ease of use. These findings suggest that the integration of PBL and AR not only enhances cognitive learning outcomes but also strengthens students’ affective and social dimensions. This study recommends the broader application of the PBL–AR model in vocational engineering education as a strategy to produce adaptive, competent, and technologically literate graduates. The model is considered capable of addressing the challenges of modern engineering education, which demands strong conceptual understanding and high-level problem-solving skills
Integrating Graded and Nominal Response Models to Analyze User Preferences in AI-, AR-, and VR-Based Virtual Try-On for Personalized Beauty Experiences Nuridayanti, Nuridayanti; Josua, Dian Pertiwi; Rahayu, Wardani; Ridwan, Achmad
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.8696

Abstract

The increasing adoption of digital beauty technology through Virtual Try-On (VTO) platforms powered by artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) necessitates a precise understanding of user preferences. This study aims to model user responses to VTO features using Item Response Theory (IRT), specifically the Graded Response Model (GRM) for ordinal-scale items and the Nominal Response Model (NRM) for non-ordinal categorical items. A total of 15 items were analyzed using GRM to assess users’ perceptions of AI accuracy, feature convenience, and visual satisfaction. Additionally, five non-ordinal items were modeled using NRM to capture explicit preferences for specific VTO functionalities, such as digital interaction and visual simulation. The results show that the average user preference score was 3.02 out of 5 (SD = 1.03), while the total preference score averaged 60 out of 100 (SD = 10.7), with response distributions approximately normal (skewness = 0.12; kurtosis = -0.24). The item information curves from the GRM indicated that several items contributed high information (above 2.0), effectively differentiating users within the −1 to +1 ability range. In the NRM analysis, the “real-time color visualization feature” exhibited the highest utility parameter (c = 1.98), indicating a strong user preference for this feature. The integration of GRM and NRM enables a more nuanced and flexible mapping of user preferences. This study presents a novel psychometric approach by combining GRM and NRM within a single VTO context to simultaneously capture both ordinal and nominal dimensions of user experience, which has not been extensively explored in prior research. These findings provide meaningful insights for the development of adaptive, personalized, and intelligent AI-based VTO systems to enhance the quality of user experience in digital beauty applications.
Short-Term IHSG Closing Price Prediction Using Random Forest Hernita, Ayu; Oki Derajat Sudarmojo; Sabarudin Saputra; Nur Alinuddin Kaharu; Wildan
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9549

Abstract

Predicting stock market prices is challenging due to the complex and volatile nature of financial time series. This study examines the use of Random Forest Regression (RFR) to predict the closing prices of the Jakarta Composite Index (IHSG) from January 2015 to May 2025. Historical data were collected from Yahoo Finance, preprocessed, and engineered into seven predictor features, including lagged prices, moving averages, volatility measures, and a COVID-19 event indicator.The dataset was split into training and testing sets (80:20) using a time-based approach. Hyperparameters were optimized via RandomizedSearchCV with TimeSeriesSplit cross-validation. The final model achieved an RMSE of 177.55 and an R² of 0.71 on the testing set, demonstrating strong predictive performance. Feature importance analysis indicated that the previous day’s closing price (lag_1) was the most influential predictor, followed by lag_2 and MA_7.Visualizations showed that the model effectively captured major trends and turning points, with minor deviations during extreme volatility. The next-day prediction for May 23, 2025, yielded a closing price of 7145.12, indicating practical applicability for short-term investment decisions. The results highlight that Random Forest Regression is a robust and effective method for predicting financial time series, capable of handling non-linear patterns and market fluctuations
Utilizing Digital Technology to Enhance Learning Quality in Salafiyah Pesantren: A Qualitative Case Study Bali, Muhammad Mushfi El Iq; Ramadani, Rizki
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9550

Abstract

Pesantren as a traditional Islamic educational institution in Indonesia, plays a strategic role in shaping the character and intellectual development of its students (santri). However, the dynamics of globalization and advancements in digital technology demand that pesantren innovate their learning models to remain relevant to contemporary needs. The integration of digital technology in pesantren education has become an imperative to improve educational quality, broaden access to learning resources, and strengthen the integration between Islamic values and 21st-century skills. This study aims to explore the role of digital technology in enhancing the quality of learning in pesantren, which have long been known for their conventional teaching methods. The use of digital tools and platforms such as e-learning, educational apps, and social media has demonstrated significant potential in enriching students' learning experiences. This research employs a qualitative approach using case studies of several pesantren that have adopted digital technologies in their learning systems. Data were collected through in-depth interviews, participatory observations, and document analysis related to the learning process. Thematic analysis was used to identify patterns in technology utilization, supporting and inhibiting factors, and its impact on the learning process and outcomes. The findings indicate that digital technology integration enhances student engagement, facilitates access to learning materials, and enriches teaching methods. In conclusion, digitalization in pesantren education offers great potential to improve learning quality, provided it remains aligned with Islamic values and local cultural contexts.
Implementation Of Hybrid Chatbot Based On Dialogflow And Keyword Matching To Improve Website Service Efficiency Nurmala Khumairoh; Walidini Syaihul Huda
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9555

Abstract

This study presents the implementation of a hybrid chatbot designed to enhance the efficiency of information services on the PT Jasamarga Pandaan Toll website. Conventional rule-based chatbots often struggle to provide accurate responses when users employ varied sentence structures or synonyms. To address this limitation, a hybrid approach is proposed that combines keyword matching with Natural Language Processing (NLP) capabilities through the Dialogflow platform. The research employed the waterfall development model, consisting of requirement analysis, system design, implementation, testing, and maintenance stages. Data were collected through observation and interviews within the company, and then transformed into intents, entities, and training phrases. The keyword matching component was implemented using a structured database, while Dialogflow was integrated with a webhook to dynamically process toll rate queries. Black-box testing was used to evaluate functional accuracy, and usability testing was conducted to measure user satisfaction and response efficiency. The results demonstrate that the developed chatbot can accurately recognize user queries, respond faster, and provide more relevant answers compared to a rule-based approach alone. This implementation highlights the potential of hybrid chatbot technology to improve customer interaction, reduce reliance on manual service, and support digital transformation in the toll road industry.
The Impact of Websites on Information Literacy and Digital Skills of Rural Communities in Sinjai Regency Awaliyah, Miftahul Janna; Andayani, Dyah Darma; Wahid, Abdul
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9688

Abstract

This study aims to analyze the impact of village website utilization on information literacy and digital skills of rural communities in Sinjai Regency. The research was conducted in three villages Pasirmarannu, Panaikang, and Tongke-Tongke that already operate active village websites. Using a quantitative approach and the Technology Acceptance Model (TAM) as the theoretical framework, data were collected through digital questionnaires administered to 100 respondents selected using purposive sampling. The findings reveal that the village websites have a significant positive effect on improving both information literacy and digital skills. Multiple linear regression analysis shows that the website impact variable has a significant relationship with information literacy (Y1) and digital skills (Y2), with coefficients of 0.172 and 0.189, respectively. Furthermore, the descriptive analysis indicates that rural communities benefit from easier access to information, better understanding of technology, and increased administrative efficiency through the use of village websites. The study concludes that the websites serve as an effective tool to support digital transformation in rural areas, particularly in enhancing information literacy and digital skills. It recommends strengthening digital infrastructure, providing community training, and optimizing website management to ensure that the benefits are maximized and accessible to all members of society.
Role of Islamic Religious Education in Shaping Religious Moderation in the Era of Digitalization Lubis
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9699

Abstract

The digital era presents both opportunities and challenges for religious education, particularly with the increasing spread of intolerance and radicalism through online platforms. This study aims to analyze the role of Islamic Religious Education (PAI) in fostering religious moderation in the digital era, using a field study at MAN Kota Palopo. Employing a qualitative approach, data were collected through interviews, observations, and documentation involving PAI teachers, students, and the madrasah head. The analysis followed Miles and Huberman’s model of data reduction, presentation, and conclusion drawing. The findings reveal that the PAI curriculum has been systematically designed to integrate moderation values such as tolerance, justice, and respect for diversity. Teachers act not only as facilitators and role models but also utilize digital media to strengthen interactive and contextual learning. Students demonstrate openness, active participation in discussions, and the ability to critically filter digital content. Institutional support, including digital literacy programs, technological facilities, and character-building initiatives, further reinforces the internalization of moderation values. The novelty of this study lies in its integration of religious moderation with digital literacy practices, highlighting how PAI can address contemporary challenges while maintaining relevance to 21st-century education. The study concludes that fostering moderation in the digital age requires synergy between curriculum, teachers, students, and school policies, with digital literacy serving as a key strategy for sustainable religious education.
Water Quality Classification Using SVM with PSO-Based Parameter Optimization Seviya, Trisna; Hakim, Lukman
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9746

Abstract

This study investigates the use of Support Vector Machine (SVM) enhanced with Particle Swarm Optimization (PSO) for water quality classification. Conventional SVM models often underperform when parameters are selected manually, resulting in reduced predictive accuracy. To overcome this limitation, PSO was applied to automatically optimize the SVM kernel parameters, enabling more reliable and robust classification. The research employed a quantitative experimental framework consisting of data preprocessing, model training, optimization, and performance evaluation. The dataset included physical and chemical attributes of water quality, which were normalized and prepared before classification. Evaluation was based on standard metrics such as accuracy, precision, recall, and F1-score. The results show that the PSO-optimized SVM consistently outperformed the baseline SVM model, producing more accurate and stable classifications. This confirms the potential of metaheuristic optimization in strengthening machine learning approaches for environmental data analysis. The main contribution of this study lies in applying a PSO–SVM framework to water quality classification, a domain where such integration has been rarely explored despite its importance for sustainable resource management. The findings provide both theoretical implications for advancing metaheuristic applications in environmental informatics and practical benefits for improving decision support in water quality monitoring and management.
Augmented Reality-Based Media for Improving Cosmetology Students’ Practical Skills in Hair Curling Hamsar, Israwati
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9602

Abstract

This study investigates the impact of Augmented Reality (AR)-based learning media on cosmetology students’ practical skills in hair curling. Employing a quasi-experimental design with 28 participants divided into experimental and control groups, the experimental group received instruction through AR-based media, while the control group followed conventional teaching methods. The study aimed to assess whether AR-based learning media could improve students' technical performance and enhance independent practice. Findings reveal that AR substantially improved students’ performance, with a large effect size, as demonstrated by significantly higher posttest scores in the experimental group. The novelty of this study lies in extending AR applications to cosmetology education, an area where empirical evidence is still scarce. Previous studies have explored AR in various educational contexts; however, its application in vocational training, particularly in cosmetology, remains underexplored. The results highlight the potential of AR as an innovative tool for enhancing vocational practice, providing practical implications for instructors, students, and institutions. AR can serve as an effective supplementary tool to traditional methods, especially in procedural learning contexts. This study also lays the groundwork for future research, encouraging the application of AR in other cosmetology practices and comparing it with other immersive technologies such as Virtual Reality (VR).
Effect of Project-Based Learning on the Learning Independence of Undergraduate Students in the Family Welfare Education Program Nurhijrah; Israwati Hamsar
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.9615

Abstract

This study examines the effect of Project-Based Learning (PjBL) on the learning independence of undergraduate students in the Family Welfare Education program, particularly in the Educational Evaluation course. A quasi-experimental design with a pretest–posttest non-equivalent control group was employed, involving 80 students divided into experimental (PjBL) and control (conventional) classes. Findings indicate that students taught through PjBL demonstrated stronger gains in learning independence, especially in initiative, self-management, and intrinsic motivation. These results confirm the potential of PjBL to foster autonomy in non-technical higher education contexts. The novelty of this research lies in its application of PjBL within Family Welfare Education, a field where empirical evidence remains limited. The study contributes to the development of innovative pedagogical strategies aligned with the Merdeka Belajar–Kampus Merdeka policy and offers practical insights for lecturers to enhance student self-directed learning.

Page 19 of 23 | Total Record : 221

 17   18   19   20   21 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 4, No. 4, November (2025) Vol. 4, No. 3, August (2025) Vol. 4, No. 2, May (2025) Vol. 4, No. 1, February (2025) Vol. 3, No. 3, September (2024) Vol. 3, No. 2, Mei (2024) Vol. 3, No. 1, Januari (2024) Vol. 2, No. 3, September (2023) Volume 2, Issue 2, Mei 2023 Volume 2, Issue 1, Januari 2023 Volume 1, Issue 3, September 2022 Volume 1, Issue 2, Mei 2022 Volume 1, Issue 1, Januari 2022 More Issue