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Design and Implementation of A Dual-Axis Solar Tracking System using Arduino Uno Microcontroller Pardosi, Cristoni Hasiholan; Siregar, Marsul; Pandjaitan, Lanny W.
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 1 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i1.1105

Abstract

This paper presents a dual-axis solar tracking system developed and evaluated using LDR sensors and stepper motors, controlled by an Arduino Uno microcontroller. The aim was to enhance photovoltaic energy efficiency by designing a system capable of automatically adjusting the position of solar panels to follow the sun's movement throughout the day. Comparative testing between static solar panels and those equipped with solar trackers demonstrated that the latter produced 35% more power on average. Additionally, the dual tracking system showed a 14% improvement in efficiency over previous averages noted in existing references. Analysis of azimuth and elevation angles confirmed that the solar tracker accurately adjusted the panels' position, significantly boosting solar energy capture. This finding is consistent with prior research, which also supports the efficacy of solar trackers in enhancing photovoltaic efficiency. Future research should expand testing to include various weather and environmental conditions and focus on developing more advanced control algorithms to enhance system responsiveness. Continuous advancements in solar tracking technology are vital for maximizing solar energy potential and facilitating a transition to a more sustainable society.
The Analytical Design and Implementation of Inverted Pendulum Control System using Linear Quadratic Regulator PUTRA, SADIANA; SIREGAR, MARSUL; BACHRI, KAREL OCTAVIANUS
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 3: Published July 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i3.625

Abstract

ABSTRAKMakalah ini menyajikan proses rancang bangun sistem kendali pendulum terbalik dengan menggunakan metode LQR. Model sistem diperoleh dengan melakukan analisis free body diagram dari sistem pendulum terbalik kemudian setelah diperoleh model sistem dilanjutkan dengan membuat persamaan ruang keadaan yang selanjutnya digunakan untuk sistem kendali LQR di mana energi yang digunakan dapat diatur sesuai dengan kebutuhan. Digunakan 10 skenario untuk mendapatkan kriteria perancangan yang diinginkan. Penentuan skenario yang tepat dapat dilakukan dengan simulasi MATLAB sehingga dapat dilihat tanggapan sistem dengan menentukan koefisien matriks Q dan matriks R yang tepat. Melalui beberapa pengujian dapat ditunjukkan bahwa untuk menjaga pendulum tetap stabil diperlukan pengaturan energi yang tepat.Kata kunci: LQR, MATLAB, pendulum terbalik, variabel keadaan ABSTRACTThis paper presents the design process of an inverted pendulum control system using the LQR method. The system model is obtained by analyzing the free body diagram of the inverted pendulum system, then after obtaining the system model, proceed with creating a state space equation which is then used for the LQR control system where the energy used can be adjusted according to needs. 10 scenarios were used to obtain the desired design criteria. Determining the right scenario can be done using MATLAB simulation so that the system response can be seen by determining the correct Q matrix and R matrix coefficients. Through several tests it can be shown that to keep the pendulum stable it requires proper energy settings.Keywords: LQR, MATLAB, inverted pendulum, state-variable
Evaluation of The Impact of Photovoltaic Laboratories Development on Higher Education and Industry SIREGAR, MARSUL; PARDOSI, CRISTONI HASIHOLAN; BACHRI, KAREL OCTAVIANUS; NUR, TAJUDDIN; PANDJAITAN, LANNY W.
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 3: Published July 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i3.759

Abstract

ABSTRAK Transisi energi dari energi konvensional ke energi terbarukan semakin meningkat, sejalan dengan kesadaran akan keberlanjutan penggunaan energi terbarukan secara global. Laboratorium Fotovoltaik Universitas Katolik Indonesia Atma Jaya berkapasitas 5,2 kWp dikembangkan untuk mendukung pendidikan dan pelatihan industri. Tulisan ini menjelaskan dampak positif Laboratorium terhadap sudut pandang mahasiswa dan industri, yaitu tentang kinerja panel surya, evaluasi sistem on-grid dan off-grid, serta pemeliharaan system. Berdasarkan kepuasan mahasiswa disimpulkan sangat puas dan puas berkisar 93,17%, dengan rincian sangat puas 50,14%, dan puas 43,03%. Sedangkan Industri menunjukkan sangat puas dan puas sebesar 93,96%, dengan rincian sangat puas 44,99%, dan puas 48,97%. Kata kunci: Fotovoltaik, Energi Surya, Pendidikan Tinggi, Studi Eksploratori.  ABSTRACT The energy transition from conventional energy to renewable energy is increasing, in line with the awareness of the sustainability of renewable energy use globally. The Atma Jaya Catholic University Photovoltaic Laboratory with a capacity of 5.2 kWp was developed to support industrial education and training. This paper describes the positive impact of the Laboratory from the perspective of students and industry, namely on the performance of solar panels, evaluation of on-grid and off-grid systems, and system maintenance. Based on student satisfaction, it is concluded that very satisfied and satisfied are around 93.17%, with details of very satisfied 50.14%, and satisfied 43.03%. While the industry shows very satisfied and satisfied of 93.96%, with details of very satisfied 44.99%, and satisfied 48.97%. Keywords: Photovoltaic, Solar Energy, Higher Education, Exploratory Study.
Spooling Device Optimization with IP Camera and Active Infrared Sensor SIREGAR, MARSUL; PRAWIRA, WASKITO; BACHRI, KAREL OCTAVIANUS; HUTAPEA, DUMA KRISTINA YANTI; PANJAITAN, LANNY
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 3: Published July 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i3.625

Abstract

ABSTRAKDesain yang sangat padat pada lokasi gulungan kabel streamer pada kapal seismik dapat menimbulkan titik-lemah karena lokasinya di tengah geladak dan area kerja operator di geladak belakang. Hal ini meningkatkan risiko kerusakan peralatan dan risiko terhadap keselamatan operator. Operator harus berjalan bolak-balik atau menugaskan operator lain untuk memantau gulungan kabel streamer yang berarti diperlukan waktu tambahan selama pengoperasian. Kedua opsi tersebut berkontribusi terhadap paparan ekstra risiko keselamatan dan penggunaan operator yang tidak efisien. Pada penelitian ini IP camera digunakan untuk memonitoring gulungan kabel streamer dan active infrared sensor digunakan untuk mendeteksi titik lemah. Desain sistem yang diimplementasikan ini mengurangi titik lemah sehingga mengurangi risiko keselamatan, meningkatkan efisiensi waktu, dan mencegah kerusakan peralatan.Kata kunci: optimisasi, kapal seismik, kabel, perangkat penggulungan ABSTRACTThe compact design of streamer cable reel locations on seismic vessels creates blind-spots due to their location in the center of the deck and the operator’s work areas aft of the deck. This increases the risk of equipment damage and the risk to operator safety. The operator must walk back and forth or assign another operator to monitor the streamer cable reels which means additional time is required during operation. Both options contribute to the extra safety risk exposure and inefficient use of operators. In this research, IP camera is utilized for monitoring streamer cable reel and active infrared sensor to detect blind spots. The implemented system design reduces blind spots that decreasing safety risks, improves time efficiency, and prevents equipment damage.Keywords: optimization, seismic vessel, streamer cable, spooling device
Performance Comparison of HFC and FTTH Using Optisystem Software Putra, Dwi Permana; Siregar, Marsul; Pandjaitan, Lanny; Bachri, Karel O; Sereati, Catherine O
JURNAL INFOTEL Vol 17 No 2 (2025): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i2.1271

Abstract

This research present the Analysis of the application of Optisystem software technology for FTTH and HFC shows that both have the capability for the WDM systems, to support a maximum transmission distance of 20 kilometers and can serve up to 32 subscribers. Key factors such as signal strength, Q factor, and bit error rate (BER) were observed and analyzed discreetly. It was found that FTTH has an average Q factor of 13.49 and HFC has an average Q factor of 7.475. The difference is about 44.59%, which indicates that FTTH has an advantage in terms of signal quality. However, based on the simulation results as well as the field measurements, Since the BER value does not exceed the maximum limit of 10-9 and the Q-factor value exceeds the minimum limit of 6, it can be stated that both technologies are reliable for efficient and high-quality communication services.
Implementation and Analysis of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Irrigation Abdurohman, Abdurohman; Siregar, Marsul; Olivia Sereati, Catherine; Windasari, Silviana; W. Pandjaitan, MM. Lanny
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.399

Abstract

Efficient water management in agriculture is crucial due to dynamic environmental conditions and increasing resource scarcity. Fuzzy Inference System (FIS) is widely applied in irrigation control for its ability to handle uncertaintys using rule-based domain knowledge. However, conventional FIS lacks adaptability to environmental changes, limiting its long-term accuracy and responsiveness. Adaptive Neuro-Fuzzy Inference System (ANFIS) addresses this limitation by combining fuzzy logic with neural network learning, enabling automatic adjustment of model parameters based on data patterns. This study compares the performance of FIS and ANFIS in predicting optimal irrigation levels based on soil moisture, air temperature, relative humidity, and solar radiation. A synthetic dataset of 1,000 samples simulating realistic agricultural conditions was generated and normalized to improve computational consistency. The FIS model uses triangular membership functions and five expert-defined fuzzy rules, while ANFIS employs Gaussian membership functions with parameters optimized using the ADAM algorithm over 50 training epochs. Results show that ANFIS outperforms FIS, lowering RMSE from 0.13 to 0.07, halving MAE from 0.10 to 0.05, and increasing R² from 0.85 to 0.93, indicating a substantially better predictive performance. This study demonstrates that ANFIS is more adaptive, accurate, and computationally efficient, contributing to the advancement of intelligent and sustainable irrigation systems in precision agriculture.
Optimizing Lightning Arrester Selection for 275kV EHV Substations: A Comparison of Overvoltage Analysis with Software and Manual Calculations Bagus Irawan Saputra; Siregar, Marsul; Panjaitan, Lanny W
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1246.2025

Abstract

A substation is one of the essential aspects of an electrically interconnected system, especially in a grid utility. Power generation, transmission, and distribution systems always need a continuous power supply to the customer. In high voltage and extra high voltage substation, operation schemes during abnormal and normal conditions may cause transient overvoltage in the system, one of which is temporary overvoltage. Temporary overvoltage analysis is needed to validate the rated system voltage within the limit of the substation equipment’s insulation level, including the rating of the lightning arrester. This research will select a lightning arrester with the standard approach IEC 60099-5 and software simulation on a computer. Conducted temporary overvoltage analysis using software simulation, which resulted in a value of 2.02 pu higher than the operating voltage. This slightly differs from the IEC 60099-5 standard, which recommends a value of 1.6 pu of operating voltage. Software simulation is beneficial as it models the system according to specific network parameters, leading to an optimal selection when compared to standards with different approaches to results based on varying network parameters. Temporary overvoltage analysis could help determine the correct rating of the lightning arrester and further mitigation, such as line compensation, switching technique, and load management, ultimately leading to reliability in substation equipment and interconnection system networks.
Predicting transmission losses using EEMD – SVR algorithm Lestari, Hesti Tri; Sereati, Catherine Olivia; Siregar, Marsul; Bachri, Karel Octavianus
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp2122-2129

Abstract

This work introduces a predictive model for evaluating transmission losses in the Java-Bali electrical system using ensemble empirical mode decomposition (EEMD) and support vector regression (SVR) techniques. Transmission losses, a critical aspect of energy efficiency, are affected by several operational aspects, such as load flow, energy composition, peak load, and meteorological factors such as transmission line temperature. Transmission losses data were decomposed into many intrinsic mode functions (IMFs) by EEMD, effectively capturing both high-frequency (short-term) and low-frequency (long-term) trends. The SVR algorithm, utilizing a radial basis function (RBF) kernel, was subsequently employed to predict the deconstructed IMFs, facilitating accurate predictions of transmission losses. The proposed EEMD-SVR model achieved a mean absolute error (MAE) of 5.43%, with the highest error observed during the period of abrupt load shifts. These results confirm the model’s strength in identifying long-term transmission loss patterns, making it suitable for system planning and operational forecasting. While the model exhibited high prediction accuracy, especially in recognizing long-term trends, it faced limitations in accurately predicting abrupt changes in transmission losses. Therefore, future improvements should aim to enhance responsiveness to sudden changes in the system dynamics. The result suggests that the EEMD SVR model can proficiently assist power system operators in monitoring and mitigating transmission losses.