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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Teknik Jurnal Teknologi JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) Journal of Industrial Engineering Management CogITo Smart Journal Metode : Jurnal Teknik Industri Jambura Journal of Electrical and Electronics Engineering Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Teknologi Pertanian Gorontalo Jambura Industrial Review (JIREV) Jurnal Abdimas Terapan Jurnal Ilmu Komputer Jurnal Abdimas Terapan Jurnal Pengabdian Masyarakat Journal Of Renewable Energy Engineering Journal Of Software Engineering And Communication
Jamal Darusalam Giu
Universitas Negeri Gorontalo
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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INOVASI TEKNOLOGI SURYA GENERASI BARU UNTUK KONVERI ENERGI, INTEGRASI TERMAL, PENGERINGAN, DESALINASI, DAN BANGUNAN CERDAS Sarinah Pakpahan; Fuad Pontoiyo; Jamal Darusalam Giu
Journal Of Renewable Energy Engineering Vol. 4 No. 1 (2026): Journal Of Renewable Energy Engineering (April)
Publisher : Program Vokasi-Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jree.v4i1.68

Abstract

This article presents a comprehensive Systematic Literature Review (SLR) of cutting-edge advancements in solar energy technology, mapping the paradigm shift from single-component efficiency to multi-functional system integration. Utilizing a data corpus from JREE and PLTS comprising high-repute publications from the 2023–2026 period, this study identifies five primary innovation clusters: (1) optimization of photovoltaic (PV) systems and perovskite solar cells; (2) integration of thermal energy storage utilizing Phase Change Materials (PCM); (3) hybrid solar drying applications for the agro-industrial sector; (4) desalination technologies based on interfacial evaporation; and (5) smart building implementation via data-driven control systems. In response to critical reviews, this article strengthens its methodological foundation by providing technical justification for selecting the data corpus, ensuring it is representative of global trends, and mitigating the limitations of abstract-based analysis through an in-depth examination of key studies. Specific focus is placed on the role of Artificial Intelligence (AI), as this review transitions from a descriptive narrative to a systematic analysis of the requirements for interpretable and robust models in system monitoring. The analytical results indicate that the synergy between advanced materials such as nanofluids and metamaterials—and multi-objective optimization algorithms is pivotal to achieving decarbonization targets. Overall, this review provides a roadmap for researchers in developing solar systems that are not only technically efficient but also economically viable and sustainable, supported by a comprehensive reference list that reinforces the reliability of this data synthesis.
ANALISIS KINERJA PEMBANGKIT LISTRIK TENAGA SURYA (PLTS) 2 MWp SUMALATA BERDASARKAN PERFORMANCE RATIO (PR) Julpandi gobel; Romi Djafar; Ervan Hasan Harun; Jamal Darusalam Giu
Journal Of Renewable Energy Engineering Vol. 4 No. 1 (2026): Journal Of Renewable Energy Engineering (April)
Publisher : Program Vokasi-Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jree.v4i1.79

Abstract

The performance of Solar Power Plants (PLTS) in tropical regions is significantly influenced by fluctuations in environmental parameters and system operational effectiveness. This study evaluates the performance of a 2 MWp grid-connected solar PV plant in Sumalata, Gorontalo, utilizing the Performance Ratio (PR) as the primary metric during the seasonal transition period (October–December 2025). Data were harvested from a SCADA monitoring system to analyze the correlation among energy yield, solar irradiation, and performance degradation. The results demonstrate monthly PR values of 75% (October), 74.2% (November), and 64.2% (December), with a mean period efficiency of 71.1%. The significant decline in PR during December is attributed to environmental factors, specifically increased cloud cover and humidity, as well as technical constraints such as module soiling accumulation and inverter operational disturbances. These findings underscore that, while the average performance remains within the operational benchmark (70%), adaptive Operation and Maintenance (O&M) strategies tailored to the humid tropical climate are essential to ensure long-term stability in system efficiency.
Distribution Route Optimization Using the Nearest Neighbor Method and the Tabu Search Algorithm at PT. XYZ syakri lasau; Idham Halid Lahay; Rahmat Deddy Riyanto Dako; Jamal Darusalam Giu; Amirudin Yunus Dako; Syahrir Abdussamad
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.31823

Abstract

PT. Sinar Kristal Nusantara currently only relies on driver experience in determining distribution routes without special studies, which causes delays in the delivery of crystal ice products due to irregular distribution flow. This study aims to determine the optimal distribution route with the shortest distance to make deliveries more efficient and timely. The methods used are Nearest Neighbor and Tabu Search algorithm. The process starts by classifying the initial route using Saving Matrix, then determining the optimal route through Nearest Neighbor and Tabu Search. The results showed that this method resulted in a total mileage of 31.05 km with a travel time of 37.26 minutes, more efficient than the current route which reached 63.90 km with a time of 75 minutes. Tabu Search proved to be a superior optimization method because it produced a shorter route than using Nearest Neighbor alone. In conclusion, the combination of Nearest Neighbor and Tabu Search can improve the efficiency of crystal ice distribution at PT. Sinar Kristal Nusantara.
Co-Authors Abdul Rasyid Abdul Rasyid Abdul Rasyid Abdul Rasyid Alifransi Sulaeman Amalan Fadil Gaib Amirudin Y. Dako Arafat, Muhammad Yasser Bawole, Malfrin G. Eduart Wolok Ervan Hasan Harun Farid Fentje Abdul Rauf Fentje Abdul Rauf Fentje Abdul Rauf Fentje Abdul Rauf Fuad Pontoiyo Gaib, Amalan Fadil H Hasanuddin Hasanuddin Hasanuddin Hasanuddin Hasanuddin Hendra Uloli Ibnu Sanjaya Idham Halid Lahay Idham, Farid Irwan Wunarlan Julpandi gobel Kawengian, Alfredo Rianto Muchlis Polin Muh Taufik Nanang Sugianto Pusponegoro, Luh Wianda Rahmat Deddy Riyanto Dako Romi Djafar Roys Pakaya Roys Pakaya Sarinah Pakpahan Sri Ariyanti Sabiku Sri Nilawaty Lahay Stella Junus Syahrir Abdussamad syakri lasau Syamsudin, Lucky Din Trifandi Lasalewo Winarta, I Kadek Yunus Arifin