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All Journal Technomedia Journal International Journal of Engineering, Science and Information Technology ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Startupreneur Business Digital (SABDA Journal) Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application
Chua Toh Hua
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Journal : journal of computer science and technology application

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Secure Communication in Solar Panel Monitoring Systems Using SmartPLS Ageng Setiani Rafika; Dhimas Tribuana; Rohim Rohim; Agung Rizky; Chua Toh Hua
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/gtmmg783

Abstract

This study investigates the factors shaping secure communication architecture in solar panel monitoring systems within smart grid environments, focusing on cybersecurity, data integrity, and system reliability. The integration of solar photovoltaic systems with digital monitoring networks enhances real-time energy management but introduces communication vulnerabilities affecting monitoring accuracy and operational stability. This study aims to assess how Network Security, Data Integrity, and System Reliability contribute to Secure Communication Architecture and Monitoring Performance. A quantitative research design was employed, and the proposed model was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS. The research model included five constructs: Network Security, Data Integrity, System Reliability, Secure Communication Architecture, and Monitoring Performance. Results indicate that Network Security significantly and positively affects Secure Communication Architecture, while Data Integrity positively influences both Secure Communication Architecture and System Reliability. Furthermore, Secure Communication Architecture and System Reliability both contribute positively to Monitoring Performance. The measurement model demonstrated acceptable reliability and validity, confirming construct robustness. These findings highlight that effective solar panel monitoring systems depend not only on technical energy infrastructure but also on secure, reliable communication networks that ensure accurate and timely data exchange. The study concludes that strengthening cybersecurity mechanisms, data integrity controls, and communication reliability is essential to improve monitoring performance and support resilient smart grid-based renewable energy management.
Harnessing AI to Improve Operational Effectiveness and Strengthen Organizational Adaptability Agung Rizky; Ridwan Arifin; Arif Andika; Ora Plane Maria Daeli; Chua Toh Hua
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.129

Abstract

This study explores the dual role of Artificial Intelligence (AI) in improving operational effectiveness and fostering organizational agility, two critical factors for success in today’s dynamic business environment. By leveraging technologies such as machine learning, predictive analytics, and robotic process automation, organizations can streamline workflows, enhance cost efficiency, and enable data-driven decision-making. The research adopts a qualitative approach, analyzing case studies and expert insights to uncover key findings. Results indicate that AI implementation significantly enhances process speed, decision accuracy, and adaptability while reducing operational costs. However, challenges such as resistance to change, high implementation costs, and ethical concerns—particularly regarding data privacy—pose barriers to adoption. To address these, organizations must adopt strategic measures such as phased implementation, robust training programs, and ethical frameworks. The study introduces a conceptual model that illustrates AI's central role in driving efficiency and adaptability, supported by comparative performance metrics demonstrating tangible benefits. This research contributes to the broader understanding of AI’s transformative impact, emphasizing its potential as a catalyst for innovation and competitiveness. Furthermore, it provides practical recommendations for overcoming barriers to adoption, ensuring sustainable integration of AI technologies. By addressing both opportunities and challenges, the findings serve as a roadmap for organizations aiming to harness AI's full potential. Future research should focus on industry-specific applications and strategies to tailor AI adoption to unique organizational needs, thereby maximizing its impact across diverse sectors. This study concludes that AI is indispensable for organizations striving to thrive in a rapidly evolving digital landscape.
Co-Authors Agung Rizky Agung Rizky Ahmad Kadim Ardivan Avandi Arif Andika Asep Sutarman Dhimas Tribuana Dwi Cahyono Eka Dian Astuti Elisa Ananda Natalia Erika Erika Herman Herman Ihda Nur Fathiyah Ipang Sasono Lidya Agustine Senduk Mitra Trima Dessincer Putri Mochamad Heru Riza Chakim Muhamad Rizki Nanda Septiani Ora Plane Maria Daeli Rafika, Ageng Setiani Rani Nuraeni Riani Rachmawati Richard Andre Sunarjo Ridwan Arifin Rizki Indrawan Rohim Rohim Rusilowati, Umi Sondang Visiana Sihotang Untung Rahardja