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All Journal JUKI : Jurnal Komputer dan Informatika Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ilmu Komputer dan Teknik Informatika Journal of Electrical Engineering Research
Eka Pandu Cynthia, Eka Pandu
UIN Sultan Syarif Kasim Riau
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Journal : Journal of Electrical Engineering Research

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Analisis Efisiensi Sistem Kendali Otomatis pada Jaringan Distribusi Listrik Modern Cynthia, Eka Pandu; Cynthia, Maulidania Mediawati; Cynthia, Dessy Nia
Journal of Electrical Engineering Research Vol. 1 No. 3 (2025): September 2025
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/joeer.v1i3.18

Abstract

Penelitian ini membahas analisis efisiensi sistem kendali otomatis pada jaringan distribusi listrik modern dalam menghadapi peningkatan beban dan integrasi sumber energi terdistribusi, khususnya pembangkit fotovoltaik. Seiring meningkatnya kebutuhan energi listrik, jaringan distribusi dituntut untuk beroperasi secara lebih efisien, andal, dan responsif terhadap perubahan kondisi sistem. Metode penelitian yang digunakan adalah pendekatan kuantitatif berbasis simulasi dengan memanfaatkan perangkat lunak Electrical Transient Analyzer Program (ETAP). Model jaringan distribusi dirancang untuk merepresentasikan kondisi operasi sebelum dan sesudah penerapan sistem kendali otomatis dengan beberapa skenario, termasuk variasi beban dan penetrasi energi terbarukan. Parameter kinerja yang dianalisis meliputi rugi daya, profil tegangan, stabilitas frekuensi, serta waktu pemulihan gangguan. Hasil penelitian menunjukkan bahwa penerapan sistem kendali otomatis mampu menurunkan rugi daya secara signifikan, memperbaiki profil tegangan pada seluruh bus jaringan, serta meningkatkan keandalan sistem melalui percepatan pemulihan gangguan. Selain itu, sistem kendali otomatis terbukti efektif dalam mengelola fluktuasi daya akibat integrasi pembangkit fotovoltaik sehingga stabilitas sistem tetap terjaga. Temuan ini menunjukkan bahwa sistem kendali otomatis merupakan solusi strategis dalam pengembangan jaringan distribusi listrik yang efisien, andal, dan berkelanjutan.
Evaluation of Cloud Computing Technology in Supporting Distributed Information Systems Cynthia, Eka Pandu; Cynthia, Maulidania Mediawati; Cynthia, Dessy Nia
Journal of Electrical Engineering Research Vol. 1 No. 3 (2025): September 2025
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/joeer.v1i3.21

Abstract

The rapid growth of distributed information systems has increased the demand for computing infrastructures that are scalable, reliable, and cost-efficient. Cloud computing has emerged as a prominent technological solution capable of addressing these demands by providing on-demand access to configurable computing resources. This study aims to evaluate the effectiveness of cloud computing technology in supporting distributed information systems by examining its capabilities, benefits, and inherent challenges. The research adopts a qualitative descriptive approach based on a systematic review and analysis of relevant academic literature, technical reports, and authoritative industry sources. The evaluation is conducted across several key dimensions, including scalability, availability and reliability, performance efficiency, security and data management, cost effectiveness, and system integration. The results indicate that cloud computing significantly enhances the operational performance of distributed information systems through elastic resource provisioning, fault tolerance mechanisms, and flexible pricing models. Cloud-based architectures also support improved interoperability and system integration through standardized interfaces and service-oriented designs. However, the findings reveal that challenges related to network latency, data privacy, regulatory compliance, and vendor dependency remain critical issues that must be carefully managed. Overall, this study concludes that cloud computing serves as a strong technological foundation for distributed information systems, provided that appropriate architectural designs, governance strategies, and resource management practices are implemented. The results contribute to a deeper understanding of cloud computing adoption and provide practical insights for organizations and system designers seeking to optimize distributed information system performance.
Integrating Artificial Intelligence in the Development of Modern Information Systems Cynthia, Dessy Nia; Cynthia, Maulidania Mediawati; Cynthia, Eka Pandu
Journal of Electrical Engineering Research Vol. 1 No. 3 (2025): September 2025
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/joeer.v1i3.22

Abstract

The development of modern information systems requires more intelligent, adaptive, and efficient data processing capabilities due to the increasing complexity and volume of data. Artificial Intelligence (AI) has emerged as a strategic solution to enhance the ability of information systems to perform analysis, prediction, and data-driven decision support. This study aims to examine the integration of artificial intelligence in the development of modern information systems from the perspective of electrical engineering and systems engineering. The research adopts an applied research approach using a systems engineering methodology, which includes problem identification, literature review, system architecture design, simulational implementation, and performance testing and evaluation. The results indicate that modular integration of artificial intelligence significantly improves data processing efficiency, analytical accuracy, and system adaptability to changing data patterns. AI-based information systems demonstrate superior performance compared to conventional systems, particularly in supporting proactive and predictive decision-making processes. Furthermore, AI integration contributes positively to computational resource efficiency, which is a critical aspect of sustainable information system development. However, the findings also highlight that data quality and proper system architecture design are decisive factors for successful AI implementation. This research provides both conceptual and technical contributions that can serve as a reference for the development of modern AI-driven information systems and as a foundation for future studies in this field.
Co-Authors Atmojo, Wahyu Tisno Cynthia, Dessy Nia Cynthia, Maulidania Mediawati Dwi Remawati Febi Yanto Hidayat, Rizki Muhammad Fikry Putra, Wahyu Eka Rahmawati, Lailia Sri Hariyati Fitriasih, Sri Hariyati Yusra Yusra, Yusra