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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Psikologi JURNAL EVALUASI PENDIDIKAN Persona: Jurnal Psikologi Indonesia CARADDE: Jurnal Pengabdian Kepada Masyarakat IKRA-ITH ABDIMAS JISAE (Journal of Indonesian Student Assesment and Evaluation) Diakronika Journal of Economics Research and Policy Studies Jurnal Tata Rias (JTR) Innovative: Journal Of Social Science Research Griya Widya: Journal of Sexual and Reproductive Health Information Technology Education Journal Jurnal Tata Rias (JTR)
Josua, Dian Pertiwi
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Religion Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Journal : Information Technology Education Journal

 1 
Exploratory Factor Analysis of Instruments Evaluation Interactivity Learning Management System (LMS) for Increase Involvement Study Student Faculty of Engineering Josua, Dian Pertiwi; Nur Idayanti; Riyadi; Iva Sarifah; Riyan Arthur
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

Digital-based learning is currently trending and continues to increase along with the development of technology. This study aims to explore the main factors underlying the interactivity of the Learning Management System (LMS) in increasing the learning engagement of students of the Faculty of Engineering; using the exploratory factor analysis (EFA) method, the LMS interactivity instrument was evaluated through a survey of 108 students. The Kaiser-Meyer-Olkin (KMO) test produced a value of 0.85, indicating perfect sample adequacy, and Bartlett's Test of Sphericity showed significant results (χ² = 456.21; p < 0.05). Four main factors were identified with a total variance of 65.9%, including: (1) active student involvement (31.2%), (2) constructivism-based learning approach (15.8%), (3) student intrinsic motivation (12.1%), and (4) ease of technology navigation (6.8%). The results of the reliability test showed a Cronbach's Alpha value > 0.70 for all factors, indicating good internal consistency. This study concluded that interactive and data-driven LMS design can significantly increase student engagement. The developed instrument is valid and reliable for measuring LMS interactivity and can be a reference for educational institutions in developing technology-based learning systems.
Evaluation Model of Institutions Based on Scriven's Consumer-Oriented Approach to Improve the Quality of Digital Services for Students Josua, Dian Pertiwi; Nuridayanti; Riyadi; Soeprijanto; Badrujaman, Aip
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.v4i2.7723

Abstract

This study aims to implement an institutional evaluation model based on Consumer-Oriented Scriven to improve the quality of digital services for students at the State University of Jakarta (UNJ). The available digital services are considered less than optimal by students, so an evaluation model is needed that focuses on user needs and satisfaction. This study uses a mixed approach with a case study method, with data collection through in-depth interviews, surveys, and direct observation. The quantitative survey used a Likert scale to measure student satisfaction with various aspects of digital services, such as academic information systems (73% satisfied), e-learning (68%), financial applications (65%), online registration (70%), and online help services (66%). The validity of the analysis instrument was tested through factors and expert assessments, while the reliability showed a Cronbach Alpha (α) value of 0.87 which is classified as very good. The results of the study indicate that this evaluation model is able to identify areas that need to be improved and encourage student participation in the service evaluation process. The application of the consumer-oriented Scriven evaluation model has been shown to make a significant contribution to improving the quality of digital services at UNJ which are more responsive and efficient.
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.
Co-Authors Achmad Ridwan, Achmad Ahmad, Nurul Qomariyah Aip Badrujaman Anan Sutisna Anan Sutrisna Awaluddin Tjalla Awaludin Tjalla Diah Krisnatuti Elin Karlina Euis Sunarti Gaguk Margono Irianti, Ruslina Iva Sarifah Jenny Sista Siregar Jubaedah, Lilis Mahdiyah Malik, Fahrani Muchlas Suseno Noor Agustin, Wahyu Nur Idayanti Nuridayanti Nuridayanti, Nuridayanti Nursetiawati, Siti Retno Wijayanti Riyadi Riyan Arthur Rohima , Azizah Aulia Rohima, Azizah Aulia Selang, Rustam AR Siregar, Jenny Sista Sista Siregar, Jenny Sitti Nursetiawati Soeprijanto Wahyu Noor Agustin Wardani Rahayu Yeti Supriyati Yulianti Saphira, Lidya