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M. Miftach Fakhri
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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
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Evaluating Usability of a Website-Based Learning Platform for Basic Programming Using the SUS Method NFH, Alifya; Ayu Tri Wardani
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.6633

Abstract

This study aims to evaluate the usability of a website-based learning platform for basic programming using the System Usability Scale (SUS) method. The platform is designed to help students understand fundamental concepts through interactive features such as structured materials, video explanations, practice questions, and visual illustrations of code execution. The usability evaluation employed a descriptive quantitative approach involving 28 respondents who used the platform and completed the SUS questionnaire. The analysis results show that the platform achieved an average SUS score of 75, which falls into the “Good” and “Acceptable” categories. However, there was notable score variation, with a minimum of 42.5 and a maximum of 100, and a standard deviation of 13.35. This suggests that while most users were satisfied, a minority faced challenges such as feature complexity and the need for additional guidance. Recommendations for improvement include simplifying navigation, enhancing interface consistency, and providing interactive tutorials to better support users.
Predicting Mental Health Disorders Using Machine Learning and Symptom-Based Behavioral Features Marwan Ramdhany Edy; Nur Fakhrunnisaa
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7156

Abstract

Mental health disorders, such as anxiety and depression, represent significant challenges in today's fast-paced world. Traditional methods of diagnosing and managing these conditions often fall short, leading to a growing interest in leveraging technology for better mental health outcomes. This paper explored the potential of using machine learning algorithms applied to psychological symptom data to enhance the prognosis of mental disorders. A dataset comprising 120 psychology patients with 17 essential symptoms used to diagnose Mania Bipolar Disorder, Depressive Bipolar Disorder, Major Depressive Disorder, and non-disordered participants was analyzed. The study evaluated the performance of various machine learning models, including RandomForestClassifier, ExtraTreesClassifier, XGBClassifier, LGBMClassifier, and CatBoostClassifier, using metrics such as precision and recall. ExtraTreesClassifier achieved the highest test accuracy of 0.8889, followed by RandomForestClassifier and LGBMClassifier with 0.8611, CatBoostClassifier with 0.8333, and XGBClassifier with 0.7222. Key predictors of mental health outcomes included "Mood_Swing_YES," "Optimism," and "Sexual_Activity." These findings suggest that integrating psychological symptom data with machine learning significantly improves the accuracy of mental health disorder prognosis, offering a promising avenue for more proactive and personalized mental health care. This research demonstrates the practical applicability of machine learning for personalized early detection and intervention in mental healthcare.
The Impact of Heat Styling Tools on Hair Health Through the Project-Based Learning (PjBL) Model in the Hair Straightening Course Hamsar, Israwati
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7345

Abstract

This study aims to analyze the impact of using heat styling tools such as flat irons and hair dryers on hair health through the implementation of the Project-Based Learning (PjBL) model in the Hair Straightening course. The method used is descriptive quantitative, with data collected through questionnaires distributed to eight student clients participating in the learning project. Data analysis was conducted using Pearson correlation test, linear regression, and Paired Sample T-Test. The results showed a positive and significant relationship between the frequency of heat tool usage and the level of hair damage (r = 0.785; p < 0.05). In addition, heat styling tools contributed 61.6% to changes in hair condition (R² = 0.616), and there was a significant difference between hair conditions before and after using the tools (t = 5.321; p < 0.05). These findings confirm that excessive use of heat styling tools has a negative impact on hair health. Therefore, education through project-based learning practices is needed to encourage more wise and safe use of styling tools.
Designing an Intuitive User Experience: SATURI’s UI/UX Approach to Public Service Access in Indonesia Prima Putra, Kurnia; Afdhaliyah, Mukhlishah; Badar, Putri Angraeni; Angraeni, Putri
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study explores the development and implementation of SATURI (Satu Akses Terintegrasi Rakyat Indonesia), a comprehensive digital platform designed to centralize public service access for Indonesian citizens. Indonesia faces significant challenges in adopting digital public services, particularly due to low digital literacy, fragmented service platforms, and issues of usability. This study follows the Design Thinking methodology, which includes Empathy, Define, Ideate, Prototype, and Test phases, to develop and refine SATURI. The Empathy phase revealed that citizens, especially in rural areas, encounter difficulty accessing and navigating digital public services. Through user-centered design, the platform integrates multiple government services, such as applying for ID cards, licenses, and tax payments, into a single interface, with features like automated data entry and geolocation services. The Ideate phase focused on developing innovative solutions to the challenges identified, while the Prototype and Test phases involved extensive usability testing and focus group discussions. Feedback led to improvements in usability, accessibility, and user satisfaction, particularly through the introduction of interactive tutorials and live chat support. The results suggest that SATURI could significantly enhance the efficiency and accessibility of public services in Indonesia, offering a more inclusive and user-friendly solution for citizens, especially those with low digital literacy. The study concludes with recommendations for expanding service integrations, improving mobile accessibility, and incorporating continuous user feedback to ensure that SATURI remains adaptable and effective for all users.
Understanding IoT Privacy Policies: Perceptions and Concerns of College Students Regarding Data Security Baso, Fadhlirrahman
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7426

Abstract

The development of Internet of Things (IoT) technology presents new challenges related to personal data protection. Among university students, the use of IoT devices is increasing, yet their understanding of privacy policies remains low. This study aims to analyze students’ understanding of IoT application privacy policies and their impact on personal data security. A quantitative descriptive approach was employed, utilizing an online questionnaire filled out by student respondents. The data analysis results indicate that the proportion of students who rarely read privacy policies and have limited understanding of them is relatively high. Only 22.65% of respondents reported regularly reading privacy policies, 20.55% demonstrated an understanding of privacy policies, and 20.27% expressed concern about the misuse of personal data. These findings indicate that most students do not read IoT application privacy policies, resulting in a relatively low level of concern about potential data misuse. Therefore, more accessible and comprehensible privacy policies are necessary to improve privacy literacy and enhance user trust in IoT mobile applications. Clearer privacy policies and increased education on the importance of privacy are essential to improve digital literacy and strengthen user confidence.
Classification Analysis of English Proficiency Levels Based on TOEFL Test Data Using Decision Tree Ikhsan, Muhammad; Galih Ramaputra, Muhammad; Purnomo, Hendri
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.6792

Abstract

English proficiency plays a significant role in education, employment, and global communication. The TOEFL test is frequently used as an indicator to measure competence in listening, reading, speaking, and writing. This study aims to classify English proficiency levels based on TOEFL test data using the Decision Tree algorithm. The model was constructed by considering test scores and demographic attributes to obtain accurate predictions. Evaluation results showed that the model achieved an accuracy of 9.5%, precision of 9.1%, recall of 9.5%, and an F1-score of 9.1%. Although the model’s performance was relatively low, this approach can reveal certain patterns within the data that may serve as a foundation for developing more targeted English language learning strategies. This research contributes to the understanding of factors influencing TOEFL scores and provides recommendations for designing effective learning programs.
Lacak Akademik: A Prototyped Early Warning System for Monitoring Student Academic Risk Wahid, M Syahid Nur; Jamaluddin; Muhammad Rais
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7336

Abstract

The academic condition of students is one of the qualities that must be improved. Various efforts must be made to support the academic improvement. Including the need for monitoring academic conditions to find out conditions early in order to prevent early dropout or dropout of study limits. This research aims to develop the Academic Tracking application as a solution in improving student academic monitoring at the Faculty of Engineering, Makassar State University. This research was conducted through a Research and Development (R&D) approach with a prototype development model. This model allows system design to be done interactively based on user input. The development of this application involves students, academic supervisors, and parents of students, operators, and leaders as the main users. The development process includes the needs analysis stage, design stage, prototyping, user evaluation, system improvement, and final implementation. Testing was conducted using the black box testing method which included six types of scenarios with a total of 34 tests. The test results showed that 33 scenarios were as expected and only one scenario was not, resulting in a score of 95.83%. This application has also been evaluated by several users on various aspects and obtained a score of 88.08% with a very effective status. This application is proven to be effective in monitoring student academic progress more optimally and is expected to reduce student dropout rates. With the features developed, this system can increase the involvement of students, lecturers, and parents in supporting student academic success.
Effectiveness of Project-Based Learning in Enhancing Creativity among Vocational Students in Islamic Boarding School Contexts Ramli, Hartini; Amsal, Andi Yasir; Halim, Muh . Bhilal; Jayanegara, Sudarmanto
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7357

Abstract

This reserach aims to examine the effectiveness of implementing the Project-Based Learning (PJBL) model in enhancing the students’ creativity at vocational high schools (SMK) with a Islamic Boarding School context system, specifically at SMKS Islam Pesantren Alam Indonesia. Vocational education, particularly within Islamic Boarding School context SMKS, often emphasizes the development of technical skills; however, the main challenge lies in how to also cultivate the students’ creativity. Using a quantitative approach with a descriptive quantitative design, this research explores the relationship between the implementation of the PJBL model and the enhancement of the students’ creativity. Data were collected through questionnaires that measured the students’ creativity across four main dimensions: fluency, flexibility, originality, and elaboration. The results show that the implementation of the PJBL model has a significant impact on the students’ creativity at SMKS Islam Pesantren Alam Indonesia. Regression analysis revealed that each application of the PJBL model is estimated to increase the students’ creativity by 8.952 points. The t-test results also indicated a very low significance value (p < 0.05), confirming that the influence of the PJBL model on the students’ creativity is statistically significant. The most prominent dimension of creativity observed was fluency, followed by flexibility, originality, and elaboration—all of which fell within the "Good" category. This study reinforces the evidence that the PJBL model is effective in developing the students’ creativity, which is crucial for their competitiveness in an increasingly demanding job market. Additionally, this research is expected to provide new insights into curriculum development and more relevant teaching methods for Islamic Boarding School context vocational schools, as well as serve as a reference for educators and policymakers in designing more innovative and applicable learning strategies
Analysis of Technology Fit and User Acceptance in Academic Information Systems Based on E-Learning Using Integrated TTF-TAM Approach in Higher Education M, Wahyu Hidayat; Al Hikma Sake; ST Hutami Haryati M
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7478

Abstract

This research aims to propose an integrative model that combines the Technology Acceptance Model (TAM), Technology Task Fit Model (TTF), Information System features in state universities, and social motivation to understand the intentions of university students in continuing to use information systems. This research uses cross-sectional research. Cross-sectional is a research to study the dynamics of the correlation between risk factors and effects, using an observational, data collection or approach. With the participation of 70 students, the research results show that the integration of the TAM for adoption and the TTF model for utility provides a comprehensive understanding of behavior, where perceived usefulness and attitudes are crucial in continuance intention. Perceived usefulness is an important mediator of the influence of perceived ease of use, technological task suitability, reputation, social recognition, and social influence on continuance intention. In addition, factors such as perceived ease of use, task-technology fit, reputation, social recognition, and social influence play a significant role in predicting continuance intention. Results showed that personal technology fit, technology-task fit, and openness influenced perceived ease of use. However, perceived ease of use and social influence did not significantly impact attitudes, whereas technology and personal openness did not influence perceived usefulness.
Understanding the TPACK Framework Among Technical Students: Evidence from Civil Engineering and Planning at UNM Haristo Rahman, Muhammad; Mudarris; Hidayat, Akmal
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7681

Abstract

In an era of digital transformation, the integration of technology in education has become indispensable—especially in technical disciplines such as civil engineering. This study explores how students in the Civil Engineering and Planning program at Universitas Negeri Makassar perceive their competence within the Technological Pedagogical and Content Knowledge (TPACK) framework. Utilizing a quantitative descriptive design, a structured survey was administered to 75 students to assess their self-reported proficiency in the domains of technological, pedagogical, and content knowledge. The results indicate strong confidence in the use of technology for content comprehension and problem-solving, while moderate scores were observed in pedagogical and integrative dimensions of TPACK. These findings reveal both strengths and gaps in students’ readiness to apply TPACK holistically, highlighting the need for curriculum innovation that balances technical fluency with pedagogical strategy. The study extends the application of the TPACK framework beyond teacher education, offering insights for advancing instructional competence in engineering education. Recommendations for future research include triangulated methods, longitudinal studies, and cross-disciplinary comparisons to enrich understanding of TPACK adoption in higher technical education.

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