Article Per Year (5 Year)
p-Index From 2021 - 2026
1.323
P-Index
This Author published in this journals
All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Nusantara
Desman Jonto Sinaga
Universitas Negeri Medan
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Social Sciences

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
Performance Enhancement of Distribution System using Grey Wolf Optimizer for Capacitor Placement and Sizing Considering Load Variations Sahat Siagian; Yoakim Simamora; Desman Jonto Sinaga; Mas Aly Afandi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 3 (2026): June 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i3.7482

Abstract

This research introduces a Grey Wolf Optimizer (GWO) strategy for determining the optimal placement and sizing of shunt capacitors in radial distribution networks under different load scenarios. The task is structured as a multi-scenario optimization model aimed at reducing active power loss, voltage deviation, and annual compensation expenses, all while adhering to bus voltage and line current limitations. Unlike traditional methods that focus on capacitor allocation for a single operating condition, this approach explicitly accounts for light, normal, and heavy load conditions to ensure solutions are effective throughout daily demand fluctuations. The method is tested on the IEEE 33-bus distribution system and benchmarked against several existing metaheuristic techniques. Findings reveal that GWO consistently provides viable capacitor configurations across all load conditions and offers enhanced technical and economic outcomes. During normal load conditions, the method decreases active power loss from 202.69 kW to 131.83 kW, and under heavy load, it achieves the highest annual net savings of $97,588. In summary, the results suggest that GWO is a reliable and economical solution for reactive power compensation planning in distribution systems with variable loads.
PENGGUNAAN PEMBANGKIT CADANGAN BERBASIS GENERATOR DIESEL 2000 kVA DI PT. CHAROEN POKPHAND Agung Dwi Rizky Gultom; Feby Glenice Telaumbanua; Olnes Yosefa Hutajulu; 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.v3i1.7268

Abstract

Keandalan pasokan listrik sangat penting bagi industri pakan ternak yang beroperasi terus-menerus, termasuk PT. Charoen Pokphand Indonesia. Untuk mengatasi risiko pemadaman, perusahaan menggunakan generator diesel 2000 kVA sebagai pembangkit cadangan. Penelitian ini bertujuan menilai kinerja operasional genset, tingkat pembebanan, dan efektivitas perawatan. Metode meliputi observasi lapangan, pencatatan tegangan, arus, frekuensi, dan suhu, serta analisis daya selama tiga jam pengamatan. Hasil menunjukkan tegangan dan frekuensi stabil, dengan pembebanan 32 sampai 42 persen yang masih dalam batas aman. Kenaikan suhu tetap normal. Temuan ini menunjukkan bahwa perawatan konsisten mampu menjaga keandalan genset dan mendukung kelancaran produksi.
Analisis Sistem Eksitasi Pada Generator Sinkron 11KV Unit 2 ULPLTA Sipansihaporas Gaul Pernandes Tambunan; Helfridolin Gultom; Heber Riko Parulian Manalu; 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.v3i1.7415

Abstract

The excitation system is a fundamental component in the operation of synchronous generators, functioning to regulate output voltage stability and control reactive power during dynamic load variations. This research was conducted at ULPLTA Sipansihaporas Unit 2, which generates 17 MW using a static excitation system equipped with an Automatic Voltage Regulator (AVR) and 110 V DC battery for initial excitation. The objective of this study is to analyze the excitation process, identify the main components of the excitation system, and evaluate its performance under operational load conditions. Data for this research was obtained directly from field observations and generator operational parameters recorded through the Central Control Room (CCR). The results indicate that the excitation current and voltage remain constant at 520 A and 58 V respectively despite fluctuations in active and reactive power. The system was able to maintain the terminal voltage at 11.4 kV and frequency at 50 Hz ± 0.1, demonstrating stable performance and operational reliability. These findings confirm that the excitation system of Unit 2 performs efficiently in supporting power system stability and reliability within the regional grid.
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.
Analisis Bahaya Arc-Flash pada Sistem Distribusi Industri Menggunakan ETAP Berbasis IEEE 1584-2018 Gilbert Sarda Sinaga; Alfredo Sibarani; Hudai Hasnandi; 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.v3i1.7423

Abstract

The reliability and safety of industrial electrical power systems have become paramount priorities given the serious threats posed by arc-flash phenomena, which can cause severe injuries, equipment damage, and operational disruptions. This study aims to analyze arc-flash hazards in multi-bus industrial distribution systems using ETAP software based on IEEE 1584-2018 standards. The research methodology employs an experimental simulation design by constructing a distribution system model encompassing bus components, transformers, transmission lines, and protective devices. The analysis focuses on three critical points: Bus 4, Bus 6, and Bus 7. Simulation results indicate that Bus 4 exhibits the highest incident energy of 56.52 cal/cm² with an arc-flash boundary of 5.324 m (NFPA 70E category F), Bus 6 generates 45.90 cal/cm² with a boundary of 4.663 m (category F), and Bus 7 produces 34.40 cal/cm² with a boundary of 3.880 m (category E). The findings underscore the necessity for implementing high-level personal protective equipment, optimizing protection coordination to reduce fault clearing time, and conducting periodic evaluations of protection systems to enhance operator safety and the reliability of industrial distribution systems.
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.
Co-Authors Afriza Arif Agung Dwi Rizky Gultom Alfredo Sibarani Andira Arwadi Sinuraya Egy Wira Indana Elvin Frans Aritonang Feby Glenice Telaumbanua Gaul Pernandes Tambunan Gideon Fercy Silitonga Gilbert Sarda Sinaga Heber Riko Parulian Manalu Helfridolin Gultom Hudai Hasnandi Irenius Aditya Lumbangaol Julio Betran Simalango Mas Aly Afandi Michael Oklando Sihotang Monang Marpaung Muhammad Ikbal Muhammad Rizky Hidayah Okta Danil Tarigan Olnes Y. Hutajulu Roihan Parli Lubis Sahat Siagian Takwa Padang Wandani Putri Siregar Yoakim Simamora