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Development of a Pico-Hydro Trainer for Renewable Energy Practicum in Universities Arwadi Sinuraya; Denny Haryanto Sinaga; Lastama Sinaga; Reza Arbi Azizi Lubis; Dito Yudhistira Nugroho; Ricky Nelson Tampubolon
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.11917

Abstract

This study aimed to develop a Pico Hydro trainer as a practical learning tool to support renewable energy education in higher education. The development followed the ADDIE model, consisting of analysis, design, development, implementation, and evaluation phases. The trainer was constructed using essential components, including a turbine, AC generator, high-pressure pump, digital monitoring instruments, and safety features. Expert validation results indicated a feasibility score of 3.60 from the material expert, 3.50 from the media expert, and 3.56 from user responses, with an average rating of 3.55 that was categorized as “very feasible.” Performance testing demonstrated the trainer's ability to generate up to 22V at 576 RPM under no-load conditions. Additionally, student learning outcomes improved significantly, as shown by a normalized gain score of 0.714. These findings suggest that the Pico Hydro trainer is effective in integrating theoretical knowledge with hands-on experience, and it offers a safe, portable, and efficient solution for laboratory-based instruction in renewable energy systems.
Teknologi pompa air tenaga surya untuk penyediaan air bersih di Desa Gorat Pallombuan Kabupaten Samosir Arwadi Sinuraya; Denny Haryanto Sinaga; Vina Gabriella Saragih; Khata Ersada Sinuraya; Willis Martin Sitorus; Ilham Rizky Ananda
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.38783

Abstract

Abstrak Desa Gorat Pallombuan di Kabupaten Samosir merupakan komunitas pertanian yang menghadapi kendala aksesibilitas dan krisis pemenuhan air bersih. Kualitas air yang keruh dan berbau, tingginya ketergantungan pada pompa air berbahan bakar minyak, serta ketiadaan sistem pengelolaan yang terstruktur mengakibatkan degradasi infrastruktur dan defisit tenaga pemeliharaan terampil. Sebagai solusi atas permasalahan tersebut, diimplementasikan sistem pompa air tenaga surya (PLTS) terintegrasi yang efisien dan ramah lingkungan. Sistem ini ditenagai oleh panel surya berkapasitas 550 Wp guna mengeleminasi penggunaan bahan bakar fosil, serta dikombinasikan dengan unit filtrasi dua tahap untuk proses purifikasi. Selain itu, infrastruktur tandon bertingkat diinstalasi guna mengoptimalkan distribusi air menuju pemukiman dataran tinggi. Metode pelaksanaan program mencakup sosialisasi, instalasi teknologi, pelatihan teknis operasional, hingga pendampingan selama tiga bulan. Hasil kegiatan menunjukkan keberhasilan penyediaan suplai air bersih berkelanjutan yang mampu melayani 22 Kepala Keluarga (KK). Kinerja sistem dibuktikan dengan peningkatan kualitas air, yang ditandai oleh penurunan kadar Total Dissolved Solids (TDS) dari 305 mg/L menjadi 98 mg/L. Secara sosio-ekonomi, penerapan teknologi ini berhasil menekan biaya operasional air masyarakat hingga menjadi Rp0 per KK per bulan. Guna menjamin keberlanjutan program jangka panjang, telah dibentuk tim pengelola desa mandiri yang beranggotakan lima orang personel terlatih. Kata kunci: pompa air tenaga surya; penyediaan air bersih; energi terbarukan; kualitas air; pemberdayaan masyarakat. Abstract Gorat Pallombuan Village in Samosir Regency is an agricultural community facing accessibility constraints and a crisis in clean water provision. Poor water quality, characterized by turbidity and odor, coupled with a high reliance on fossil fuel-powered water pumps and the absence of a structured management system, has led to infrastructural degradation and a deficit in skilled maintenance personnel. As a solution to these challenges, an integrated, efficient, and eco-friendly solar-powered water pumping system was implemented. The system is powered by a 550 Wp solar panel to eliminate dependence on fossil fuels and is integrated with a two-stage filtration unit for water purification. Additionally, a multi-tiered reservoir infrastructure was installed to optimize water distribution to elevated residential areas. The program's implementation framework encompassed community socialization, technology installation, technical operational training, and a three-month mentoring period. The results demonstrate the successful provision of a sustainable clean water supply capable of serving 22 households. The system's performance is evidenced by a significant improvement in water quality, indicated by a reduction in Total Dissolved Solids (TDS) from 305 mg/L to 98 mg/L. Socioeconomically, the application of this technology successfully reduced the community's operational water costs to IDR 0 per household per month. To ensure long-term program sustainability, an independent village management team comprising five trained personnel was established. Keywords: solar water pump; clean water provision; renewable energy; water quality; community empowerment.
Analisis Respons Transien Motor DC terhadap Perubahan Beban Menggunakan Kontrol PI Michael Oklando Sihotang; Takwa Padang; Roihan Parli Lubis; Desman Jonto Sinaga; Arwadi Sinuraya
JURNAL ILMIAH NUSANTARA Vol. 3 No. 1 (2026): Jurnal Ilmiah Nusantara Januari 2026
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jinu.v3i1.7422

Abstract

. This study analyzes the transient response of a DC motor to load variations using a Proportional-Integral (PI) controller implemented through MATLAB/Simulink simulation. The DC motor is modeled using a transfer function and tested under three conditions: without controller, with PI controller tuned by PID Tune (PI1 and PI2), and with a step load disturbance applied at seconds. Performance is evaluated based on rise time, peak time, overshoot, settling time, steady-state error, and recovery time. The results show that the system without control is highly sensitive to load changes, exhibiting a large steady-state error and a significant speed drop. The application of PI control improves system stability and accuracy; PI1 reduces the steady-state error to 1.65% (no-load) and 2.71% (with load) with minimal overshoot, while PI2 provides faster response with very low steady-state error (0.28% no-load and 0.27% with load) at the expense of slightly higher overshoot. Overall, PID Tune is effective in generating stable PI parameters, where PI2 achieves the best performance in response speed and accuracy, and PI1 is more favorable in minimizing overshoot.
Pemodelan Interaksi Medan Listrik Dinamis dan Gelombang Elektromagnetik Monang Marpaung; Gideon Fercy Silitonga; Wandani Putri Siregar; Arwadi Sinuraya; Desman Jonto Sinaga
JURNAL ILMIAH NUSANTARA Vol. 3 No. 1 (2026): Jurnal Ilmiah Nusantara Januari 2026
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jinu.v3i1.7491

Abstract

This research stems from the need to understand the complex relationship between time-varying electric fields and electromagnetic waves, which often presents difficulties in simulating their propagation in various media. The primary focus is to develop a numerical model capable of predicting the dynamics of this interaction, thus enabling its use in antenna development and radiation evaluation. The applied method includes a Finite-Difference Time-Domain approach, which solves the fundamental equations stepwise in both the time and space domains. The results show that the model is capable of reproducing transverse propagation patterns with a high degree of accuracy and detecting strong mutual induction effects at high frequencies. These findings provide a foundation for improving the performance of electromagnetic devices, minimizing potential interference, and opening up new innovations in the telecommunications sector.
STUDI HUBUNG SINGKAT PADA TRANSFORMATOR TEGANGAN TINGGI MENGGUNAKAN ETAP 16.0.0 Julio Betran Simalango; Egy Wira indana; Muhammad Rizky Hidayah; Arwadi Sinuraya; Desman Jonto Sinaga
JURNAL ILMIAH NUSANTARA Vol. 3 No. 1 (2026): Jurnal Ilmiah Nusantara Januari 2026
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jinu.v3i1.7496

Abstract

Short-circuit fault is a dangerous condition in power systems because it produces very high currents. Transformers, as important equipment in high-voltage systems, must be analyzed to ensure safe operation during faults. This study aims to analyze short-circuit characteristics of a high-voltage transformer using ETAP 16.0.0.softwareShort-circuit fault is a dangerous condition in power systems because it produces very high currents. Transformers, as important equipment in high-voltage systems, must be analyzed to ensure safe operation during faults. This study aims to analyze short-circuit characteristics of a high-voltage transformer using ETAP 16.0.0 software.This research is expected to be used as a reference for designing protection systems for high-voltage equipment.
STUDI STARTING DAN RESISTANSI STATOR TERHADAP SLIP, ARUS AWAL, DAN KUALITAS DAYA MOTOR INDUKSI Irenius Aditya Lumbangaol; Andira; Muhammad Ikbal; Desman Jonto Sinaga; Arwadi Sinuraya
JURNAL ILMIAH NUSANTARA Vol. 3 No. 1 (2026): Jurnal Ilmiah Nusantara Januari 2026
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jinu.v3i1.7519

Abstract

This study presents a literature review on the influence of starting methods and stator resistance on slip characteristics, inrush current, and power quality performance of three-phase induction motors. Several starting strategies including direct-on-line (DOL), star–delta, autotransformer, soft-starter, and voltage–frequency (V/f) control using inverter-based drives are reviewed to evaluate their effect on initial current surge and electromagnetic torque development. Findings indicate that conventional starting methods such as DOL produce high inrush current and voltage sag, while soft-starter and inverter-based methods provide smoother torque transition and reduced starting current. Variation of stator resistance demonstrates a proportional effect on slip characteristics and torque, where higher resistance increases slip and reduces starting efficiency. In addition, starting methods may influence power quality parameters such as harmonic distortion, power factor, and voltage drop depending on the applied control strategy. The study concludes that integrating appropriate starting control with stator resistance adjustments can improve dynamic performance of induction motors and reduce power disturbances in industrial systems.
Prediksi Akurat Output Daya Jangka Pendek PLTS Menggunakan Algoritma Long Short-Term Memory (LSTM) Jaringan Saraf Tiruan Berbasis Data Cuaca Real-Time Elvin Frans Aritonang; Afriza Arif; Okta Danil Tarigan; Desman Jonto Sinaga; Arwadi Sinuraya
JURNAL ILMIAH NUSANTARA Vol. 3 No. 1 (2026): Jurnal Ilmiah Nusantara Januari 2026
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jinu.v3i1.7593

Abstract

Accurate short-term power output forecasting for Photovoltaic (PV) systems is crucial for electricity grid management and energy trading. This study proposes and validates a Long Short-Term Memory (LSTM) model, a Deep Learning architecture, for forecasting PV power output 1-hour ahead using historical and real-time weather variables (irradiance, temperature, humidity, and wind speed). The model is compared against the conventional Autoregressive Integrated Moving Average (ARIMA) and Support Vector Machine (SVM) models. One year of 15-minute performance data from a 50 kWp rooftop PV system was utilized for model training and testing. Evaluation results demonstrated that the LSTM model significantly outperformed the ARIMA and SVM models in terms of accuracy metrics. The LSTM model achieved a Mean Absolute Error (MAE) of 5.5% and a Root Mean Square Error (RMSE) of 7.8% of the nominal capacity, substantially lower than the comparative models, especially under fluctuating weather conditions (partial cloudiness). The superiority of LSTM lies in its ability to capture the complex temporal dependencies between weather variables and power output, a major challenge for traditional statistical models. This research confirms that the integration of Deep Learning offers a more robust and accurate solution for PV power forecasting, supporting grid operators in achieving higher reliability and operational efficiency.
The Influence of Population Size on the Computational Time of Genetic Algorithms in Course Scheduling Rudi Salman; Arwadi Sinuraya; Irfandi Irfandi; Eswanto Eswanto; Sayuti Rahman; Herdianto Herdianto; Olnes Yosefa Hutajulu; Agung Y S Halawa
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.v8i1.33508

Abstract

Course scheduling is a complex problem in higher education because it must satisfy multiple constraints involving courses, instructors, rooms, and time slots. This study examines the impact of population size variation on the computational efficiency of a Genetic Algorithm (GA) applied to a medium-scale instance consisting of 35 courses, 15 instructors, 12 rooms, and 20 time slots. Simulations were conducted in MATLAB using population sizes ranging from 20 to 1000, while all other GA parameters were held constant to isolate the effect of population size. Solution quality was evaluated using a conflict-based fitness function, and all configurations yielded valid timetables with zero hard-constraint violations. Experimental results reveal a consistent non-linear relationship between population size and computation time. Statistical findings in Table 1—including mean values, standard deviations, and 95% confidence intervals—show that both very small and very large populations produce higher and more variable execution times. In contrast, population sizes of 300–400 achieve the lowest and most stable computation times, indicated by the smallest mean values and narrow confidence intervals. For the instance and configuration used in this study, this range serves as an effective starting point for population size tuning. Overall, the findings highlight the importance of empirical parameter selection to balance computational efficiency and solution quality in academic timetabling systems.