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All Journal MIND (Multimedia Artificial Intelligent Networking Database) Journal Dinamika Bahari: Journal of Maritime Dynamic Journal of Applied Data Sciences Journal of Educational Technology and Learning Creativity
Onn, Choo Wou
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Mechanical Engineering Transportation

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Journal : Journal of Educational Technology and Learning Creativity

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Digital Transformation in Teacher Performance Assessment: Development and Implementation of E-PKG System for Enhancing Vocational Education Quality and Industry Alignment Waluyo, Surryanto Djoko; Rustanto, Agung Edi; Winanti, Yunea Kusuma; Onn, Choo Wou; Sufian, Muhammad; Mesina, James Ronald
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2490

Abstract

Purpose of the study: This study aims to develop and evaluate the Electronic Teacher Performance Assessment System (E-PKG) as a digital platform to transform teacher evaluation in vocational education from administrative compliance into strategic professional development to better align vocational graduate competencies with industry requirements. Methodology: This study employs a Research and Development (R&D) design through four stages: needs analysis via stakeholder consultation, prototype development using user-centered design, iterative field testing in vocational schools and industry partnerships, and refinement from empirical feedback. Data were collected from 34 respondents using questionnaires, structured observations, and interviews, and analyzed with descriptive statistics and thematic analysis. Main Findings: The E-PKG system reduced assessment completion time by 67%, eliminated data entry errors, and improved inter-rater reliability from 0.62 to 0.89. Real-time analytics supported evidence-based professional development planning. User satisfaction ranged from 3.88 to 4.26 (5-point scale), with highest scores for system stability and navigation ease, though challenges remained in interface clarity for non-technical users and indicator comprehension. Novelty/Originality of this study: This study introduces a comprehensive digital teacher assessment system specifically tailored to vocational education, directly linking evaluation results to industry competency frameworks. It advances knowledge by demonstrating how technology-mediated assessment can strategically connect quality improvement and workforce development in economically disadvantaged settings, while emphasizing the importance of pedagogical alignment, stakeholder inclusivity, and contextual adaptation.
IoT-VR Integrated Framework for Precision Prebiotic Dosing in Intensive Aquaculture: A Technology-Based Approach to Sustainable Fish Production Junfithrana, Anggy Pradiftha; Suryana, Anang; Saputri, Utamy Sukmayu; Hasbullah, Dasep; Langlangbuana, Muhammad Labib; Mahamad, Abd Kadir; Utomo, Wahyu Mulyo; Onn, Choo Wou; Korkmaz, Hatice Betul
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2497

Abstract

Purpose of the study: This study aimed to develop and validate an integrated precision aquaculture framework that combines IoT-controlled multi-prebiotic dosing, centralized environmental monitoring, and virtual reality-based operator training to improve water quality, fish growth performance, and operational competency in intensive multi-pond fish farming systems. Methodology: A closed-loop precision aquaculture system was implemented for 30 days in 40 homogeneous circular ponds. The system used centralized sensors (dissolved oxygen, pH, temperature), IoT-actuated solenoid valves with inline flow sensors for four prebiotic formulations, Water Quality Index computation, VR-based operator training, and statistical analysis using one-way ANOVA, multiple linear regression, and paired t-tests. Main Findings: IoT-based management significantly improved Water Quality Index, survival rate, and specific growth rate compared with manual management. Automated prebiotic dosing was volumetrically accurate and consistently on time. Higher water quality strongly correlated with better growth and survival. VR training substantially reduced operator task completion time and operational errors, enhancing overall system efficiency and reliability. Novelty/Originality of this study: This study presents a fully integrated multidisciplinary precision aquaculture framework that uniquely combines IoT-driven multi-prebiotic automated dosing, centralized environmental monitoring for homogeneous pond networks, and VR-based immersive training as an active human–system interaction layer. It advances current knowledge by demonstrating a scalable, technology-mediated model that unites automation, water quality management, and skill development in intensive aquaculture.
Co-Authors ABDUL HADI, ABDUL RAZAK BIN Agung Edi Rustanto Anang Suryana Anggy Pradiftha Junfithrana Dewi, Deshinta Arrova Handoko, Wisnu Hasbullah, Dasep Korkmaz, Hatice Betul Kurniawan, Tri Basuki Langlangbuana, Muhammad Labib Mahamad, Abd Kadir Mantena, Jeevana Sujitha Mesina, James Ronald Praveen, S Phani Saputri, Utamy Sukmayu Setiawan, Ariyono Sirisha, Uddagiri Sufian, Muhammad Surryanto Djoko Waluyo Wahyu Mulyo Utomo Widyaningsih, Upik Winanti, Yunea Kusuma Yorman