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All Journal Marlajar: Journal of Science, Technology, and Innovation Marsiurupan: Journal of Community Development and Empowerment
Nada Ratković
University of Split, Croatia

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Innovation In Computer Science Learning Through Artificial Intelligence And Machine Learning Technologies Tomi Yulianto; Eri Kristiono; Nada Ratković; Tonia Sharlach
Marlajar: Journal of Science, Technology, and Innovation Vol. 1 No. 2 (2026): August
Publisher : PT. TAROMBO RESEARCH DEVELOPMENT pak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66784/marlajar.v1i2.31

Abstract

This conceptual paper proposes a novel framework for integrating artificial intelligence (AI) and machine learning (ML) technologies to innovate computer science education. The study employs a systematic literature review methodology, synthesizing recent advances in deep learning, transfer learning, and lifelong learning paradigms from peer-reviewed sources [1]–[22]. The findings reveal that AI-driven adaptive learning systems significantly enhance personalized instruction and student engagement, while ML-based predictive analytics enable early intervention strategies for at-risk learners. However, critical challenges persist, including algorithmic bias, data privacy concerns, and the need for continuous curriculum updates to maintain relevance. The novelty of this work lies in its unified framework that bridges theoretical underpinnings, such as unsupervised representation learning and continual learning—with practical implementations in intelligent tutoring, automated content generation, and ethical assessment systems. The primary contribution is a comprehensive roadmap for educators and policymakers to deploy AI/ML technologies responsibly, addressing both pedagogical efficacy and ethical considerations. This framework further identifies gaps in current evaluation metrics and faculty development initiatives, offering actionable directions for future research. By synthesizing interdisciplinary insights from computer science, education, and ethics, this paper advances the discourse on sustainable innovation in computer science learning.
Effectiveness of Digital Management System In Improving Employee Performance at The Mayor's Office of Parepare Mulono Apriyanto; Aep Saefullah; Wildan F Mubarock; Khairul Anwar; Albi Ternando; Jornie Lumintao; Nada Ratković
Marsiurupan: Journal of Community Development and Empowerment Vol. 1 No. 1 (2026): Marsiurupan: Journal of Community Development and Empowerment
Publisher : PT. TAROMBO RESEARCH DEVELOPMENT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66784/marsiurupan.v1i1.30

Abstract

The development of digital technology has changed the way government operates, including the Parepare Mayor's Office, which faces challenges in increasing the efficiency and effectiveness of employee performance. This research aims to assess the implementation of a digital management system as a solution to overcome the problems of manual bureaucracy, miscommunication, and lack of data integration. The methods used in this research include observation and interviews with employees from various divisions, as well as quantitative and qualitative analysis to measure system effectiveness through key performance indicators (KPI). The research results show that the implementation of a digital management system has succeeded in increasing work efficiency, transparency and accuracy, with an increase in employee productivity reaching 60% and job satisfaction levels of 85%. Despite challenges such as inadequate infrastructure and resistance to new technology, this program has succeeded in creating a digital-based work culture
Co-Authors Aep Saefullah Albi Ternando Eri Kristiono Jornie Lumintao Khairul Anwar Mulono Apriyanto Tomi Yulianto Tonia Sharlach Wildan F Mubarock