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All Journal Fidelity : Jurnal Teknik Elektro
Narputro, Panji
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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A Novel Interval Type-2 Fuzzy Logic Controller for Shunt Active Power Filters in Power Quality Enhancement Sidik, Aryo De Wibowo Muhammad; Efendi, Efendi; Lumbantobing, Harurikson; Indrawan, Bayu; Junfithrana, Anggy Pradiftha; Ula, Rini Khamimatul; Suryana, Anang; Tambunan, Handrea Bernando; Narputro, Panji; Artiyasa, Marina
Fidelity : Jurnal Teknik Elektro Vol 6 No 2 (2024): Edition for May 2024
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v6i2.248

Abstract

This paper proposes a novel control strategy for enhancing power quality through the implementation of an Interval Type-2 Fuzzy Logic Controller (T2FLC) for Shunt Active Power Filters (SAPF). The presented method effectively addresses harmonic distortions introduced by non-linear loads, a common issue in modern electrical systems. Extensive simulations conducted in MATLAB/Simulink demonstrate the T2FLC's ability to regulate the DC bus voltage while significantly reducing Total Harmonic Distortion (THD). The method achieves superior performance compared to both traditional passive and active filtering techniques, reducing THD within the limits specified by IEEE 519-2014 standards. The results confirm the robustness and adaptability of the proposed approach across varying load conditions, establishing it as a reliable and scalable solution for improving power quality in complex electrical networks.
Bibliometric Analysis of IoT-Driven Smart Agriculture and Irrigation Management Research: Trends, Topics, and Publication Patterns (2019-2024) Hendrawati, Trisiani Dewi; Narputro, Panji; Wicaksana, Fikri Arif; Suryana, Anang
Fidelity : Jurnal Teknik Elektro Vol 7 No 2 (2025): Edition for May 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i2.295

Abstract

This study explores the bibliometric analysis of research on smart agriculture and IoT-based irrigation management from 2019 to 2024, focusing on trends, topics, and publication patterns. Smart agriculture integrates advanced technologies such as IoT, artificial intelligence (AI), and big data analytics to enhance productivity and sustainability in farming systems. The analysis identifies a steady growth in publications, with a significant spike in 2023, reflecting the increasing global interest in utilizing IoT technologies to address challenges like water scarcity, climate change, and food security. Key topics include IoT-based sensor technologies for soil and water management, precision agriculture, and sustainable farming practices.The study also highlights the role of international collaboration, with countries like India, China, and the United States emerging as central hubs in fostering interdisciplinary research. Major sources such as Lecture Notes in Networks and Systems, AIP Conference Proceedings, and IEEE Access significantly contribute to the dissemination of research findings. Furthermore, the co-occurrence network analysis reveals the dominance of IoT as a central theme, with strong links to related topics like irrigation, soil moisture, and crop management.This research provides valuable insights for researchers, policymakers, and practitioners by identifying critical trends and research gaps, emphasizing the importance of IoT in optimizing irrigation systems, improving efficiency, and promoting sustainable agricultural innovations. These findings support the development of smart agriculture systems that are adaptive to global challenges and resource constraints.
Co-Authors Anang Suryana Anggy Pradiftha Junfithrana Artiyasa, Marina Aryo De Wibowo Efendi Efendi Handrea Bernando Tambunan Hendrawati, Trisiani Dewi Indrawan, Bayu Lumbantobing, Harurikson Ula, Rini Khamimatul Wicaksana, Fikri Arif