teachers' professional identity, teacher learning, teacher knowledge, STEM Education, and TVET
135
Scopus Publications
Scopus Publications
Exploring Psychological Factors Affecting the Success of Online Learning in Higher Education in Indonesia Muhammad Nurtanto, Rina Febriana Hendrawan, Nur Kholifah, Mohd Kasturi Nor Abd Aziz, Valiant Lukad Perdana Sutrisno, et al. Online Learning Journal, 2026 E-learning in higher education in Indonesia faced significant challenges, including failures and perceived learner apathy. Despite these hurdles, e-learning remained a viable option, overcoming geographical barriers. Thus, this study aimed to explore the psychological factors affecting e-learning success, such as emotional intelligence (EI), psychological well-being (PWB), self-efficacy (SE), and self-motivation (MO). Engaging 1,052 students in Yogyakarta, the research examined these variables' relationships with e-learning success. Online data collection via Google Forms was utilized, with analysis conducted through Structural Equation Modeling (SEM), tested via path analysis and bootstrap. Results indicated that emotional intelligence (EI), psychological well-being (PWB), self-efficacy (SE), and self-motivation (MO) significantly and positively influenced e-learning success. Particularly, self-motivation (MO) emerged as an indirect mediator, influencing psychological well-being and self-efficacy, thereby enhancing overall e-learning effectiveness. This study is pivotal for understanding psychological factors in Indonesian e-learning, offering insights into how self-motivation can bolster psychological well-being and self-efficacy, ultimately contributing to e-learning success. These findings lay a foundation for refining e-learning systems, aiming for a more effective and motivating learning environment in the future.
A Systematic Literature Review on the Impact of Reading Literacy on Students’ Critical Thinking Skills in Vocational Education Muhammad Nurtanto, Septiari Nawanksari, Okianna, Valiant Lukad Perdana Sutrisno, Nur Wachid Abdul Majid, Nur Kholifah Journal of Teaching and Learning, 2026 This study is a systematic literature review (SLR) aimed at identifying and analyzing the relationship between reading literacy and critical thinking skills among vocational school pupils. Following the PRISMA guidelines, a total of 20 selected articles published between 2015 and 2025 were thoroughly reviewed using databases such as Scopus, ERIC, Web of Science, and Google Scholar. The findings indicate that reading literacy serves not only as a tool for text comprehension but also as a fundamental component in fostering pupils' analytical, reflective, and evaluative thinking abilities. Instructional strategies such as reciprocal teaching, problem-based learning, and critical questioning have been proven effective in simultaneously enhancing both reading literacy and critical thinking skills. Moreover, digital literacy plays a crucial role in fostering critical thinking in the age of information. Nevertheless, the study identifies several limitations, including inconsistencies in measurement methods and the underrepresentation of studies from developing countries. The results highlight the importance of integrating reading literacy and critical thinking into the vocational education curriculum, as well as the need for strengthened policy support, teacher training, and the development of valid and context-sensitive assessment instruments.
Image processing for 3D flat surfaces from a capture camera with the Kalman Filter Triangle Algorithm Ihsan Auditia Akhinov, B. S. Rahayu Purwanti, Hasvienda Muhammad Ridwlan, Muhammad Nurtanto, Anggi Mardiono, Rangga Aulia Rusli Journal of Physics Conference Series, 2026 This study focuses on reducing noise in 2D-to-3D image conversion using a combination of Masking Algorithms, Triangulation, and Kalman Filter Formulas (KF F ). Although these methods are widely applied, masking techniques for minimizing height errors due to noise are rarely discussed. The objective is to reduce noise through a hybrid masking method, followed by KF F for accuracy enhancement. Experiments were conducted on planar objects with white and black surfaces, captured along a laser line to generate 2D images with dominant red hues. The 3D dimension was reconstructed using HSV-HPF, RGB, and a combined RGB-HSV (HPF) masking approach in OpenCV. Results show that the combined masking (COMB) method achieves the lowest noise levels. Integration with KFF further improves accuracy, achieving a Root Mean Square Error (RMSE) of 0.087375, compared to 0.117 without KF F . Accuracy testing used RMSE with Q = 0.3 and R = 0.8. The findings indicate that KF F reduces noise by approximately 27% and significantly improves precision in the 2D-to-3D image conversion process.
Unraveling Factors Affecting Engineering Students’ Acceptance of Artificial Intelligence in the Context of a Blended Learning Environment Muh. Hamkah, Heri Retnawati, Muthmainah Muthmainah, Muhammad Hakiki, Mustofa Abi Hamid, Hasruddin Hasruddin, Muhammad Dahlan, M. Agphin Ramadhan, Muhammad Nurtanto, Indra Mutiara Online Learning Journal, 2025 The rapid advancement of artificial intelligence (AI) has significantly transformed various educational domains, including engineering education. Despite AI’s growing prevalence, limited research has explored the determinants influencing engineering students' acceptance of AI. This study investigates the factors shaping AI acceptance among engineering students in Indonesia. Using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach, data were collected from 158 engineering students across multiple universities. The research model incorporates six constructs: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Social Influence (SI), Facilitating Conditions (FC), Self-Efficacy (SE), and Perceived Risks (PR), each operationalized through seven measurement indicators. The results indicate that PU, PEOU, SI, and SE have significant positive effects on AI acceptance, while PR exerts a significant negative influence. Conversely, FC does not demonstrate a significant impact. These findings offer theoretical and practical implications for fostering AI adoption in engineering education, including strategies for educators, policymakers, and developers of AI-based tools to enhance user acceptance. This study extends the literature on technology acceptance in educational settings, providing actionable insights for improving the integration of AI in higher education.
Augmented reality smart batik (AR-SaBa) application for helping batik marketing T. Triyanto, Nur Kholifah, Tita Rosalina, Ihwana As’ad, Widiya Avianti, et al. Multidisciplinary Science Journal, 2025 Dissatisfaction among consumers due to limitations in batik product marketing within MSMEs has been identified as a critical issue. To address this, an innovative approach to batik shopping was developed through the Augmented Reality (AR-SaBa) mobile application. Concerns related to product quality, brand image, and trust—particularly when products fail to meet consumer expectations—were targeted. The objective of the study was the design of an Augmented Reality application utilizing marker detection via Unity 3D on the Android platform. This application was designed to enhance online product listings, enabling consumers to explore batik products in greater detail prior to purchase. Consumers are provided with the ability to view batik garments on a 3D model tailored to selected motifs and designs. The effectiveness of this solution was demonstrated, with the application performing successfully across various mobile devices. Validation of the AR-SaBa application, conducted by 18 evaluators including AR developers, fashion lecturers, batik MSME owners, and loyal consumers, revealed performance ratings ranging from 4.00 to 4.61 across criteria such as performance, usefulness, learnability, accuracy, suitability, engagement, novelty, relevance, feedback, and flexibility and control. An overall acceptance rating of 88.22% was achieved, placing the AR-SaBa application in the high-acceptance category.
Microstructure and tribological study of TiAlCN and TiTaCN coatings “Institute of Metallurgy, Ore Beneficiation” JSC, N. Bakhytuly, Satbayev University, A. Kenzhegulov, “Institute of Metallurgy, Ore Beneficiation” JSC; Satbayev University, М. Nurtanto, University of Sultan Ageng Tirtayasa, A. Aliev, University of Texas at Dallas, E. Kuldeev, “Institute of Metallurgy, Ore Beneficiation” JSC; Satbayev University Kompleksnoe Ispolzovanie Mineralnogo Syra, 2023
Enhancing professional knowledge and self-concept through self and peer assessment using rubric: A case study for pre-services TVET teachers Faculty of Technical, Vocational Education, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia, Alias Masek Masek, Affero Ismail, Faculty of Technical, Vocational Education, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia, Muhammad Nurtanto, Faculty of Teacher, Training Education, Universitas Sultan Ageng Tirtayasa, 42124 Kota Serang, Banten, Indonesia, Suhaizal Hasim, Faculty of Technical, et al. Journal of Engineering Education Transformations, 2021
Design and development E-learning system by learning management system (Lms) in vocational education International Journal of Scientific and Technology Research, 2020
Designing ignition system based ergonomic teaching aid in vocational education: Minimizing fatigue factors during practice International Journal of Scientific and Technology Research, 2019
Identification customer need for redesign feet and hands strength training equipment for the post-ischemic stroke patients International Journal of Scientific and Technology Research, 2019
Learning by creating: Transforming automotive electrical textual material into visual animation as a creative learning products (clp) International Journal of Scientific and Technology Research, 2019
