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All Journal Jurnal Penelitian Saintek TELKOMNIKA (Telecommunication Computing Electronics and Control) INVOTEC SEIKO : Journal of Management & Business Indonesian Journal of Electrical Engineering and Computer Science Frontiers JOINTER : Journal of Informatics Engineering Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Ismart Edu: Jurnal Pendidikan Teknologi Informasi International Journal of Information Techonology and Education (IJITE) Asia Pacific Journal of Management and Education Jurnal Penelitian Rumpun Ilmu Teknik Innovative: Journal Of Social Science Research Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
parabelem tinno dolf rompas
Universitas Negeri Manado
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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The Effectiveness of the Application of the Problem-Based Learning Model Assisted by EKTS Simulation on The Learning Outcomes of Electric Motor Installation of TITL Students Tomohon 1 Christian Vocational School Rompas, Parabelem Tinno Dolf; Rapar, Jocke Jonathan; Poli, Bellavel; Batmetan, Johan Reimon
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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This study aims to see the improvement of student learning outcomes in the subject of applying EKTS (Electrical Control Techniques Simulator) software in the subject of Electric Motor Installation of class XI TITL SMKS Kristen 1 Tomohon. Electrical control techniques simulator is a simulator software that can be used to design electromechanical systems. This software provides various kinds of electromechanical systems that use relays, time relays, buttons, motors, switches, and various basic mechanical systems. This study seeks to make students' understanding of electric motor installation circuits more understandable and can be understood clearly so that there are no more doubts and fears when practicing them which can cause poor student learning outcomes. There are three circuits used in this study, namely the DOL (Direct On Line) circuit, Forward-Reverse and Star Delta circuits. From these three circuits, researchers can see the extent to which students' understanding of electric motor installations. This research will be conducted at SMKS Kristen 1 Tomohon. Which is addressed at Jl. Tomohon - Tondano No. 158, Matani Satu, Kec. Tomohon Tengah, Tomohon City, North Sulawesi Province. The current type of research uses experimental research, namely True Experimental research (pure experiment), namely experiments that follow procedures and meet the requirements of experiments, especially those related to controlling variables, control groups, providing treatment or manipulating activities and testing results. With the Two Group pretest-posttest design. The subjects of this study were students of class XI TITL II SMKS Kristen 1 Tomohon. The data obtained were analyzed using hypothesis testing. With this study, the average pre-test was 62.86 and the average post-test score was 82.86. The results of this study indicate an increase in learning outcomes for electric motor installation lessons in class XI TITL II SMKS Kristen 1 Tomohon.
Artificial Intelligence Learning in Higher Education Rompas, Parabelem Tinno Dolf; Winowatan, Saruendo; Binoli, Sri Astuti; Limeri, Hendrik; Batmetan, Johan Reimon
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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The development of Artificial Intelligence (AI) has introduced new opportunities for transforming higher education, particularly in digital learning, academic management, and scientific research. AI enables real-time learning data analysis, personalized learning materials tailored to student needs, and automation of administrative tasks. This structured literature review explores AI implementation, benefits, and challenges in higher education. The findings indicate that adaptive learning systems, learning analytics, intelligent tutoring systems, and AI-driven chatbots enhance learning effectiveness and support academic decision-making. However, issues such as data privacy, algorithmic bias, and limited AI literacy remain significant obstacles. Responsible integration of AI requires strong policy frameworks, institutional readiness, and transparent system design.
Utilization of the Ruang Guru LMS as a Training Platform for Coding and Artificial Intelligence: An Analysis of Ease of Use, Usefulness, and Teacher Readiness in North Sulawesi Rompas, Parabelem Tinno Dolf; Batmetan, Johan R; Rorimpandey, Gladly Caren; Rompas, Billy; Lumenta, Harfey
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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As education is rapidly changing with technology, training teachers digitally has been established as a key ingredient to their lifelong learning. The application of Ruang Guru Learning Management System (LMS) is a medium for training school teachers such as senior high vocational schools to code and artificial intelligence (AI) in all districts and municipalities in North Sulawesi. The purpose of this study is to investigate the levels of perceived ease of use, perceived usefulness, digital self-efficacy and teacher readiness in participating LMS-based training. We used a quantitative description method in which we surveyed teachers who attended the coding and AI training through Ruang Guru LMS. Four-point Likert-scale questions were used to measure four constructs: ease of use, usefulness, digital self-efficacy and readiness for digital training. Descriptive statistics were used in the analysis of data. Based on the result, teachers considered that Ruang Guru LMS was easy to use and they felt it assisted them in increasing their technological skills. Their digital self-efficacy scores were between good and very good, signifying a high level of readiness for digital training. The study also signifies a need to enhance teachers’ digital skills, school infrastructure and LMS functionalities so as to ensure meaningful and sustainable digital training program.
Innovation of Adaptive Learning Based on Artificial Intelligence Rompas, Parabelem Tinno Dolf; Lalompoh, Hartentus M.; Wagei, Suci K.; Gunde, Alfrits P.; Batmetan, Johan Reimon
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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The development of digital technology encourages transformation across various sectors, including education. Adaptive learning based on Artificial Intelligence (AI) is an innovation that enables the teaching and learning process to take place in a personalized, dynamic manner, and aligned with students’ characteristics. This article discusses the implementation of AI-based adaptive learning as a strategy to improve learning effectiveness through learning needs analysis, curriculum differentiation, and the use of data as the basis for learning recommendations. The research method employed is a literature study by reviewing recent journals and scientific publications. The findings show that AI-based adaptive learning can increase learning motivation, independence, and learning achievement through the delivery of materials aligned with students’ competency levels, learning styles, and learning pace. In conclusion, this innovation becomes a potential solution for improving the quality of education in the digital era, provided that technological infrastructure, teacher readiness, and students’ digital literacy are adequately supported.
Prototype of Laminer and Turbulent Flow Learning Tools in the Fluid Mechanics Course at the Mechanical Engineering Study Program, Faculty of Engineering, Universitas Negeri Manado Watuseke, Charles Benheart; Rompas, Parabelem Tinno Dolf; Manggopa, Hiskia Kamang
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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In this study, the aim is to develop and analyze the performance of prototype laminar and turbulent flow learning tools in the Fluid Mechanics course in the Mechanical Engineering Study Program. The development of the tool was carried out to make it easier for students to understand the differences in flow characteristics through direct observation of changes in discharge, flow velocity, and Reynolds numbers. The research method used was an experiment by measuring discharge between 0.5–2 L/s on a transparent pipe with a diameter of 20 mm. Flow rate data is calculated based on actual discharge, while pressure is measured using differential manometers. Furthermore, the data were analyzed using the Reynolds number equation and the pressure loss theory (Darcy–Weisbach). Overall, the results show that the prototype is able to show the flow transition clearly, with the critical limit of the flow being at the average Reynolds number of about 2,200. At low discharge, the flow pattern indicates the stability of the laminar flow, while at high discharge vortex and velocity fluctuations are formed that mark turbulent flows. Pressure loss measurements also show a linear increase in laminar flow and a non-linear increase in turbulent flow, in line with fluid theory. These findings prove that the prototype developed is effective as a learning medium because it is able to visualize changes in flow regimes in real-time and provide a more interactive practicum experience.
Implementation of A Deep Learning Approach to Improve the Learning Outcomes of Students in the Building Design, Modeling and Information Department at State Vocational High School 1 Kaidipang Binol, Sri Astuti; Manggopa, Hiskia Kamang; Angmalisang, Harrychoon; Rompas, Parabelem Tinno Dolf
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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The low level of Higher Order Thinking Skills (HOTS) and student learning outcomes in vocational subjects remains a major challenge in vocational education in Indonesia. Students generally operate at the level of Lower Order Thinking Skills (LOTS) and have difficulty connecting vocational concepts with their application in real-world contexts. This study aims to improve student learning outcomes through the implementation of a Deep Learning approach in vocational instruction at the Building Modeling and Information Design (DPIB) Department of SMK Negeri 1 Kaidipang. The research employed Classroom Action Research (CAR) based on the Kemmis and McTaggart model, conducted in two cycles comprising planning, action, observation, and reflection stages. The research participants consisted of 10 Grade X DPIB students. The Deep Learning approach was implemented through inquiry learning and project-based learning methods. The results demonstrate a significant improvement in learning outcomes, with average scores increasing from 42% in the pre-cycle to 66% in Cycle I and 86% in Cycle II. Improvements were also observed in collaboration, conceptual understanding, critical analysis skills, and student engagement.
The Implementation of the Reflective Inquiry Learning Model to Improve Students' Metacognitive Skills in Informatics Subject at State Senior High School 1 Amurang Wagei, Suci K.; Manggopa, Hiskia Kamang; Angmalisang, Harrychoon; Rompas, Parabelem Tinno Dolf
International Journal of Information Technology and Education Vol. 5 No. 2 (2026): March 2026
Publisher : JR Education

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Metacognitive skills are an essential aspect of Informatics learning, as they are closely related to students’ ability to plan, monitor, and evaluate their own thinking processes. However, learning outcomes indicate that students’ metacognitive skills remain relatively low. This study aims to improve students’ metacognitive skills through the implementation of the Reflective Inquiry learning model. This study employed Classroom Action Research (CAR) conducted in two cycles, each consisting of planning, implementation, observation, and reflection stages. The research subjects were 33 eleventh-grade students at SMA Negeri 1 Amurang. Research instruments included a metacognitive questionnaire, observation sheets of teacher and student activities, and learning achievement tests. The results showed an improvement in students’ metacognitive skills from Cycle I to Cycle II, as indicated by an increase in the average metacognitive score and the percentage of students categorized as having high metacognitive skills. Therefore, the Reflective Inquiry learning model is effective in improving students’ metacognitive skills in Informatics learning.
Implementation of A Learning Management System using Prompt Engineering Horizon Artificial Intelligence in State Senior High School 1 Siau Barat Gunde, Alfrits Patrick; Angmalisang, Harrychoon; Manggopa, Hiskia Kamang; Rompas, Parabelem Tinno Dolf
International Journal of Information Technology and Education Vol. 5 No. 2 (2026): March 2026
Publisher : JR Education

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Prompt in artificial intelligence is one of the terms in technology that is currently often discussed by academics, becoming a weapon in producing a digital work and has an important role in artificial intelligence. Prompt is a command spoken by humans to machines to produce digital work. In a broad view, prompt is the art of designing science and a compass to guide humans in using artificial intelligence. This study aims to maximize Prompt Engineering Horizon Artificial Intelligence to create a learning management system in SMA Negeri 1 Siau Barat. This study uses the method This study uses the Research and Development (R&D) method with the ADDIE development model. The application of the learning management system to Teachers and Students of SMA Negeri 1 Siau Barat is the result of this research, where the prompt is made into a programming language coding arrangement and becomes a neat and ready-to-use web-based learning management system application. The implementation of this application is new and the first for teachers and students of SMA Negeri 1 Siau Barat and has a positive impact on the understanding and use of technology. On the other hand, this system also allows teachers and students to use smartphones optimally in the school environment for learning.
Implementation of a Factory-Based Learning Workshop Management Model to Improve Student Competence at SMK Negeri 3 Tondano Lalompoh, Hartentus M.; Angmalisang, Harrychoon; Manggopa, Hiskia Kamang; Rompas, Parabelem Tinno Dolf
International Journal of Information Technology and Education Vol. 5 No. 2 (2026): March 2026
Publisher : JR Education

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This study aims to determine the effect of the Implementation of the Factory-Based Learning Workshop Management Model (Teaching Factory) to Improve Student Competence at SMK Negeri 3 Tondano. This study uses quantitative research with data collection techniques through questionnaire instruments. Based on the results of the analysis and discussion, the Implementation of the Factory-Based Learning Workshop Management Model (Teaching Factory) to Improve Student Competence by 98% while the rest is determined by other variables that are not studied in this study. So, the conclusion in this study is that there is a direct positive effect of the Implementation of the Factory-Based Learning Workshop Management Model (Teaching Factory) to Improve Student Competence at SMK Negeri 3 Tondano. This means that the Implementation of the Factory-Based Learning Workshop Management Model (Teaching Factory) can Improve Student Competence. Therefore, considering the influence of Factory-Based Learning (Teaching Factory) on Improving Student Competence, it is expected that all Vocational High Schools will implement Factory-Based Learning (Teaching Factory).
Competitive Advantage Strategy Management of Private Schools in Southeast Maluku Regency: A Case Study of Schooling at the Johanis Ars College in the Kei Kecil Region Namsa, Yohanis Paulus; Lengkong, Jeffry Sony Junus; Umbase, Ruth; Rompas, Parabelem Tinno Dolf
International Journal of Information Technology and Education Vol. 5 No. 2 (2026): March 2026
Publisher : JR Education

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The strategic management of competitive advantage in private schools is the main focus of this study to address the dynamics of competition in educational institutions in Southeast Maluku Regency. The main objective of the study is to formulate an adaptive school management model under the auspices of Kolose Johanis Ars to address fluctuating student numbers and limited resources in the archipelago. A descriptive qualitative approach was used as a method to explore the management phenomenon in depth through interviews, observations, and documentation studies at the research site in the Kei Kecil region. The research subjects included the principal, teachers, and relevant stakeholders directly involved in the strategic decision-making process. The research findings indicate that a differentiation strategy based on spiritual values ​​and social capital is a significant internal strength for the school, but there are still weaknesses in aspects of technological innovation and digitalization of learning. The analysis results identified a gap in contextual curriculum adaptation where the local maritime potential of the Kei region has not been optimally integrated into the school curriculum. The research conclusions emphasize the need for dynamic capability reconfiguration through strengthening the management information system and synchronizing the college's long-term vision with operational plans at the school unit level. The proposed management model integrates resource-based theory with spiritual leadership to ensure the sustainability of educational institutions in the outermost regions. Implementing a systematic marketing strategy and improving the digital literacy of educators are practical recommendations for strengthening schools' bargaining power in the eyes of the public. Synergy between foundations, local governments, and local communities is essential for sustainably improving the quality standards of educational services.
Co-Authors Agus Takaredase Ahmad Ilham Ramadhani Ahmad Tubagus Tsani Risqi Aji Aji, Ahmad Tubagus Tsani Risqi Albugis, Gafar Ismail Alfrina Mewengkang Andreas Gosal, Faldy Angmalisang , Harrychoon Arje Cerullo Djamen Atjo, Muhammad Fadly Awon, Sidney Badjin, Yulianti Baihaqi Baihaqi Barokah Batmetan, Johan R Binol, Sri Astuti Binoli, Sri Astuti Brayen Peters Kaawoan Charnila Desria Heydemans Christine Takarina Meitty Manoppo Cindy Pamela C Munaiseche Daeng, Mushendra Daniel Riano Kaparang Denny Lalenoh Desyemca Florenda Indra Muda Djami Olii Dwi Dharma Arta Kusuma Endoh, Jobellium Tesar Gustaf Ferry Johnny Sangari Gerry Theofilus Tambaani Gladly Caren Rorimpandey Golung, Rivaldo Alvian Gunde, Alfrits P. Gunde, Alfrits Patrick Harry Septian Laute Harrychoon Angmalisang Heindrich Taunaumang Herry Sumual Heydemans, Charnila Desria Hiskia Kamang Manggopa Janli Marlinda Okra Jeffry Sony Junus Lengkong Jenly D.I. Manongko Jobellium Tesar Gustaf Endoh Johan Reimon Batmetan Julius Sasukul Kaawoan, Brayen Peters Kamu, Israel Yonatan Fredrik Keith Francis Ratumbuisang Kesek, Angel Imanuel Kristofel Santa Kuhu, Maikel Wolter Kusuma, Dwi Dharma Arta Laia, Yosua Swardin Lalenoh, Denny Lalompoh, Hartentus M. Langguna, Ayu Patricya Lase, Karnius Laura Sojow Liando, Olivia Eunike Selvie Limeri, Hendrik Londa, Nur Amelia Putri Lumenta, Harfey Lusi Maryana Bahrun Luther Sule Mamonto, Mutahir Mananggel, Arther Valentino Mario Tulenan Parinsi Marvil Ratumbanua Matandatu, Stevani Max Marthen Rottie Mella Riska Mokolintad Metsi Daud Metsi Daud Metsi Daud1 Meyvilia Yohana Michella Undap Mintjelungan, Marthinus Maxi Mohamad Alparizi Sahadan Mokolintad, Mella Riska Mongkau, Waraney Josua Muda, Desyemca Florenda Indra Namsa, Yohanis Paulus Nelci Vebi Rumabar Nikita Gabriel Sangeroki Nur Amelia Putri Londa Olivia Kembuan Orbanus Naharia Orbanus Naharia Orbanus Naharia Palilingan, Verry Ronny Peggy Veronica Togas Pehi, Zefanya Pelealu, Ray Rivay Anugrah Aer Poli, Bellavel Priyo Perdana Adati Ramadhani, Ahmad Ilham Rapar, Jocke Jonathan Ratumbanua, Marvil Raturandang, Sevanya Rivaldo Alvian Golung Rolly Oroh Rolly R. Oroh Rolly Robert Oroh Rombon, Daudson EA Rompas, Billy Rottie, Max Marthen Rotty, Viktory Nicodemus Joufree Ruth Sriana Umbase Saldy Tahulending Sampangade, Novanya P Sangeroki, Nikita Gabriel Sanusi, Fadli M. Sasoeng, Shella Sasukul, Julius Sevanya Raturandang Shirly Sussane Lumeno Simbala, Akmal Subagio Manggopa Sumampow, Zoya Febrina Tahulending, Saldy Tambaani, Gerry Theofilus Tangkulung, Meiner Efrain Tuilan, Victor Vivi Peggie Rantung Wa Ode Siti Cutriani Wagei, Suci K. Walangitan, Athsel Watuseke, Charles Benheart Winowatan, Saruendo Wiratno Wiratno Wohon, Oktafio Fabio Yohan Wibisono Yulianti Badjin