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All Journal Jurnal Penelitian Saintek ELKHA : Jurnal Teknik Elektro Jurnal Teknologi Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Kilat Energi & Kelistrikan Jurnal Ilmiah Sutet TESLA: Jurnal Teknik Elektro TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Buletin Ilmiah Sarjana Teknik Elektro JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Journal Zetroem Jurnal Applied Science in Civil Engineering Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Journal of Informatics and Communication Technology (JICT) Eksergi: Jurnal Teknik Energi EPSILON: Journal of Electrical Engineering and Information Technology Electrician : Jurnal Rekayasa dan Teknologi Elektro Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Journal of Informatics and Communication Technology (JICT) UKAZ: International Journal of Islamic Studies ABDIMASTEK Journal of Sustainable Innovation Engineering SNTE
Samsurizal Samsurizal
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Analisis Sudut Kemiringan Optimum Panel Surya Atap di Kota Jakarta Menggunakan Data Global Solar Atlas andi Makkulau; Nurmiati Pasra; Samsurizal Samsurizal; Bayu Lanzardi Yahya; M Abyan Alwan
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.4874

Abstract

The utilization of rooftop solar photovoltaic (PV) systems in urban areas has gained significant momentum as part of the energy transition strategy. Determining the optimum tilt angle of PV panels is crucial in maximizing system output. This study aims to analyze the optimum tilt angle for rooftop PV with multiple linear regression in five administrative cities of Jakarta using solar resource data from the Global Solar Atlas. Annual energy yield data were evaluated at an azimuth of 0° (facing north) with tilt angle variations from 0° to 20° in 1° intervals. The analysis employed a quadratic regression model estimated using Ordinary Least Squares (OLS), with uncertainty assessment conducted through 1000 bootstrap iterations. Results indicate that the optimum tilt angle ranges between 5° and 9°, with intercity variations: West Jakarta (5°), North Jakarta (9°), Central Jakarta (7.5°), East Jakarta (8.2°), and South Jakarta (7°). Energy gains compared to the horizontal orientation (0°) are relatively small, less than 1.1%. These findings suggest that for practical rooftop installations in Jakarta, a tilt angle of 7–9° can be recommended, as performance differences with continuous optimum estimation are negligible.Keywords - Global Solar Atlas, Jakarta, Optimum Tilt Angle, Quadratic Regression, Rooftop Solar PV
Energy Production Forecasting For Optimizing Solar Power Plant Capacity Using Random Forest Arin Candra Nur Hidayah; Samsurizal Samsurizal; Hanin Aulia Mahmudah
Jurnal Teknologi Vol. 18 No. 2 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.2.113-122

Abstract

Planning the capacity and predicting the energy production of rural solar power plants requires a reliable approach because the system output is highly influenced by weather variability, while field monitoring data is often limited. The need for reliable electricity in rural areas remains a challenge, especially when the electricity load must be met continuously but the network infrastructure is not yet fully optimized. This study proposes a hybrid pipeline to estimate performance and capacity needs using NASA POWER DAV hourly meteorological data (2019–2024) for Surokonto Wetan Village, Kendal Regency, Indonesia. Stage 1 applies PVLib physics-based simulation (PVWatts with the SAPM temperature model) to generate hourly AC power and energy, then adjusts estimates with a Performance Ratio (PR)=0.80 to represent aggregate system losses. Stage 2 trains a fast prediction model using Random Forest Regression with meteorological and temporal features (GHI, DNI, DHI, air temperature, humidity, month, hour, and lag-1) and compares it with persistence and climatology baselines. The results show that for a requirement of 200 kWh/day, the required solar power plant capacity is 103.66 kWp (P10+margin). In hourly energy prediction, Random Forest showed the best performance with R²=0.9968 in daylight-only evaluation where GHI>0, far exceeding the persistence baseline (R²=0.7298) and climatology (R²=0.8611). These findings indicate that the combination of PVLib and Random Forest based on NASA POWER DAV data can support rapid and measurable estimation of potential, conservative capacity planning, and prediction of rural solar power plant production.
Optimization of DC Fast Charging in CHAdeMO Systems Using Thunderstorm Algorithm with Thermal and Health Constraints Samsurizal Samsurizal; Arif Nur Afandi; Mohamad Rodhi Faiz
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 1 (2026): February
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i1.14505

Abstract

The significant increase in the use of electric vehicles (EVs) demands the development of fast charging systems that are not only efficient but also maintain battery integrity. One of the primary challenges in direct current (DC) charging is balancing speed with minimizing degradation caused by thermal stress. This study proposes a charging optimization model based on the Thunderstorm Optimization Algorithm (TA) for CHAdeMO-based DC systems. A lithium-ion equivalent circuit battery model was used to simulate electrochemical and thermal dynamics. The model introduces an adaptive charging current profile designed with a dynamic boundary configuration, defined here as the iterative adjustment of current limits according to real-time thermal and health constraints. Compared to conventional constant current–constant voltage (CC–CV) methods, TA considers maximum temperature, State of Health (SoH), and target State of Charge (SoC) simultaneously. The simulation (180 minutes, passive cooling, Python-based) showed that TA reduced SoH degradation to 1.3% and battery life usage to 18.4%—the latter defined as cumulative stress energy normalized to initial capacity—compared to 2.9% and 22.5% for CC–CV. Additionally, TA achieved a higher average charging power (26.1 kW vs. 24.8 kW) without exceeding 50 °C. Although the algorithm requires more computational effort than CC–CV, its moderate complexity suggests feasibility for real-time integration in battery management systems. These findings highlight TA as a promising adaptive and sustainability-oriented charging strategy.
Pelatihan Karya Tulis Ilmiah Jurnal Bereputasi Internasional pada Mahasiswa Doktoral dan Pra-Doktoral Ilham Saifudin; Abu Tholib; Samsurizal Samsurizal; Muhammad A’an Auliq
ABDIMASTEK Vol. 5 No. 1 (2026): Juli
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/abdimastek.v5i1.6140

Abstract

Publikasi pada jurnal bereputasi internasional merupakan salah satu indikator penting dalam pengembangan kapasitas akademik mahasiswa doktoral dan pra-doktoral. Namun, masih banyak mahasiswa yang mengalami kesulitan dalam menentukan baseline paper, merumuskan novelty penelitian, serta menyusun artikel ilmiah sesuai standar jurnal internasional. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan kompetensi peserta dalam penulisan karya tulis ilmiah dan strategi publikasi pada jurnal bereputasi internasional. Kegiatan dilaksanakan secara daring melalui Zoom Meeting dalam dua kali pertemuan. Metode yang digunakan meliputi penyampaian materi, diskusi interaktif, praktik identifikasi research gap dan novelty, serta pendampingan penyusunan artikel ilmiah. Pertemuan pertama diikuti oleh 6 peserta, sedangkan pertemuan kedua dihadiri oleh 8 peserta. Hasil kegiatan menunjukkan bahwa peserta memperoleh pemahaman yang lebih baik mengenai teknik menentukan baseline paper, menemukan novelty, menyusun struktur artikel ilmiah, memilih jurnal yang sesuai, serta memahami proses submission dan peer review pada penerbit internasional, seperti Elsevier, Wiley, IEEE, Taylor & Francis, ACM, dan Springer Nature. Program ini diharapkan menjadi langkah awal dalam meningkatkan kualitas publikasi ilmiah mahasiswa doktoral dan pra-doktoral serta mendukung peningkatan produktivitas riset dan reputasi akademik perguruan tinggi.
Simulation-Based Parameter Optimization Using Genetic Algorithm for Microalgae Bioethanol Production Septianissa Azzahra; Samsurizal Samsurizal; Kartika Tresya Mauriraya; Dody Dody; Yulisya Zuriatni; Istianto Budhi Rahardja
Journal of Electrical, Electronic, Information, and Communication Technology Vol 7, No 2 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.7.2.108704

Abstract

Bioethanol is a promising renewable energy source, and microalgae such as Chlorella vulgaris and Spirulina platensis offer high productivity potential. This work applies a Genetic Algorithm (GA) to optimize key environmental parameters—pH, light intensity, and temperature—within a simulation framework over a 100-day cultivation period. GA optimization resulted in a 25% increase in total ethanol yield, from baseline values of 51.00 to 63.66 g/L for Chlorella and 32.64 to 40.79 g/L for Spirulina. We benchmarked GA against Particle Swarm Optimization (PSO), Differential Evolution (DE), and Simulated Annealing (SA); GA consistently delivered superior convergence and final yields. The model incorporates phase‑dependent carbohydrate accumulation and realistic environmental disturbances, though biological complexities such as photoinhibition and nutrient limitations are acknowledged as future work. To enable meaningful convergence, the growth model was extended with mild photoinhibition and nutrient limitation terms, ensuring a more realistic fitness landscape. Findings support the viability of metaheuristic optimization in microalgae biofuel systems and indicate potential for intelligent control integration in photobioreactor operations.
Chemical Composition Analysis and Heat Absorption Potential of Andesite Stone as Absorber Material in Thermoelectric Generators Septiannissa Azzahra; Samsurizal; Aryana Rachmad Sulistya; Azli bin Yahya
ZETROEM Vol 8 No 2 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i2.7998

Abstract

The performance of thermoelectric generators is strongly influenced by heat absorption and thermal management on the hot side because these factors determine the temperature gradient and electrical energy output produced. Conventional ceramic materials commonly used as thermal media generally have high production costs and limited heat absorption capacity creating the need for alternative materials that are natural economical and sustainable. This study investigates andesite stone as a potential natural heat-absorbing material for thermoelectric generators through chemical composition analysis using the X-ray fluorescence method. The results show that the andesite sample is dominated by silica and alumina forming a stable aluminosilicate structure. Other identified compounds include iron oxide calcium oxide and magnesium oxide. Iron oxide contributes to increased radiation heat absorption through higher emissivity while calcium oxide and magnesium oxide improve crystal lattice stability and resistance to thermal shock. The very low loss on ignition value of 0.02% indicates minimal volatile compounds suggesting excellent thermal and chemical stability at high temperatures. Based on the relationship between composition and material properties the studied andesite stone is estimated to have moderate thermal conductivity and effective thermal buffering capability which are beneficial for maintaining a stable temperature gradient in thermoelectric generator systems. Overall these findings indicate that andesite stone has strong potential as a natural heat-absorbing or coating material in thermoelectric generator applications and can become a more economical and environmentally friendly alternative to conventional synthetic ceramic materials for future sustainable energy systems and broader industrial thermal applications worldwide.
Analysis of Overloading Impact on Harmonic Content and Loss of Life in Distribution Transformers Kartika Tresya M; Alex Fernandes; Welly Okke; Nurmiati Pasra⁠; Samsurizal; Tony Koerniawan
ZETROEM Vol 8 No 2 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i2.8136

Abstract

In the wake of Indonesia’s accelerating power infrastructure growth, maintaining distribution system integrity is essential to meet the increasing electricity demand from both residential and industrial sectors. This study investigates the operational performance of the PGCE distribution transformer at the Lemah Abang Customer Service Unit (ULP), which experienced severe overloading with a peak loading of 113.82%, exceeding the maximum allowable loading limit of 80% specified in SE No. 0017.E/DIR/2014. The overload condition resulted in excessive thermal stress and a 17% voltage drop, exceeding the permissible service voltage variation specified in SPLN 1:1995. To address these problems, a load-splitting strategy was implemented through the installation of an SNTR insertion transformer. A comparative quantitative (before–after) analysis was conducted using field measurement data to evaluate transformer loading, voltage drop, and transformer loss of life before and after the technical intervention. The results show that the loading of the PGCE distribution transformer was reduced to approximately 76–77%, restoring its operation to within the recommended loading limit. In addition, the voltage drop decreased from 17% to 4.5%, satisfying the service voltage requirement of +5% to −10%. The reduction in transformer loading also lowered thermal stress on the winding insulation, thereby reducing the transformer loss of life and improving asset reliability. These findings demonstrate that load splitting combined with the installation of an insertion transformer is an effective engineering solution for mitigating transformer overloading, improving voltage quality, and extending transformer service life. 
Co-Authors A.N. Afandi Abu Tholib Adewijaya, Shidarta Rico Adi Prasetya Adirawati, Finka Amalia Putya Afifah Annisa Nurul Agus Yogianto Alex Fernandes Alex Fernandes Ananda, Shafia Ardian, Irfan Ardianda, Viona Ardina, Andi Ahyina Arif Nur Afandi Arin Candra Nur Hidayah Arova Putra Aryana Rachmad Sulistya Aula Rohman, M. Mucklis Azis, Hastuti Azli bin Yahya Azzahra, Septiannissa Bayu Lanzardi Yahya Benyamin Hadinoto Cahyo, Agung Dwi CHRISTIONO CHRISTIONO Christiono, Christiono Dahliya Dahliya Dedi Kurniawan Destina Surya Lestari Devi, Adelia Kaulika Dewi Purnamasari Dhami Johar Dhamiri Dody Dody Fadhillah, Nailul Fairakha Rezky Alfaafaa Fathur Nureza Aksan Fikri, Miftahul Fikri, Miftahul Fikri, Miftahul Haidi, Junas Hanif Fauji Hanin Aulia Mahmudah Hastuti Azis Hendri Hestiawan Hendrianto Husada Humaida, Humaida Husada, Hendrianto Ilfiyantri Intyas Istianto Budhi Rahardja Jesika Anastasia Siahaan, Putri Juliafad, Eka Kartika Tresya M Kartika Tresya Mauriraya Kartika Tresya Mauriraya Kathelya Nindya Ulina Kentji, Muhammad Zulham M Abyan Alwan M. Hidayat Ediz Makkulau, Andi Makkulau, Andi Mangende, Indrani Mawardi, Maulana Max Teja Aji Mohamad Rodhi Faiz Mohamad Rodhi Faiz Muh Fajri Muhammad Awaluddin, Muhammad Muhammad A’an Auliq Mukti, Candra Dwi Mukti MULYANA K., IWA GARNIWA Nadia Media Rizka Novi Gusti Pahiyanti Nurmiati Pasra Nurmiati Pasra⁠ Pasra, Nurmiati Putri Aradea, Nadira Putri, Mirna Qori, Syrojul Qori, Syrojul Rahmanda, Rega Rio Afrianda Rizki Pratama Rizki Pratama Putera Rizki Pratama Putra Rizki Pratama Putra Rohman, Mucklis Aula ROMADHONI, MUHAMMAD LUTHFIANSYAH Rudina Okvasari Saifudin, Ilham Salvatore Kevin Sani, Finka Rizkina Sari, Resi Kumala Saudiah, Paridatus Septianissa Azzahra Septianissa Azzahra Septiannissa Azzahra Siagian, Faber Agustinus G Sitanggan, Mario Martinus Land Siti Amaliatu Zahra Sungsang Dody Purwanto THAHARA, ANDI AMAR Titi Ratnasari Titi Ratnasari Tito Ganjar Nugroho Tony Koerniawan Turahma, Anisya Wahyuni Martiningsih, Wahyuni Welly Okke Yogi Darul Fadli Yuliantina, Nanda Febby Yulisya Zuriatni Yulisya Zuriatni Yusrial Yusrial