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Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Published by Universitas Bangka Belitung
ISSN : 23555068     EISSN : 26224852     DOI : https://doi.org/10.33019/jurnalecotipe
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
This scientific journal is called Jurnal Ecotipe (Electronic, Control, Telcommunication, Information, and Power Engineering) with clusters of science in the field of Electrical Engineering covering the field of Electronics, Control, Telecommunications, Information/Informatics, and Power Electricity. The schedule of scientific journal publication is planned 2 times / volume in a year, ie April and October. The author can come from institutions outside the Department or from within the Department of Electrical Engineering University of Bangka Belitung. Aim and Scope : Electronics, Electronic Materials, Microelectronic System, Control System Engineering, Instrumentation and Control Engineering, Robotics, Telecommunication, Modulation and Signal Processing, Antenna and Wave Propagation, Information Technology, Information Theory and Coding, Computer Engineering and Informatics, Electrical and Power Engineering, Transmission and Distribution, Renewable Energy.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 215 Documents
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Design of Sepic Converter as Battery Charger with Artificial Neural Network - PID Method for Load Variation Endro Wahjono; Suryono; Pribadi, R. Nur Alfian
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/7g1ceb77

Abstract

More adaptable charging methods are required as a result of the growing variety of electronic gadgets that use rechargeable batteries brought about by technological advancements. When trying to charge different battery types with a same charger, differences in battery parameters, like voltage and capacity, present difficulties. This study suggests an adaptive charging system that can charge several battery types using a single port connection in order to solve this problem. To transform a 24 V DC input into an output voltage appropriate for the particular battery requirements, the system uses a SEPIC converter whose duty cycle is controlled by a microprocessor. The duty cycle rises until a specific current level is measured when a battery is attached and the limit switch is activated. The measured voltage and current data are then processed by an Artificial Neural Network (ANN) algorithm to determine the battery type and set the appropriate charging voltage setpoint. After that, a PID controller is used to keep the charging conditions steady. LiFePO4 (12.8 V, setpoint 14.6 V), Li-ion (14.8 V, setpoint 16.8 V), and Lead Acid (12 V, setpoint 14.4 V) batteries were used to test the system. The system successfully charged all three battery types with an average error of 0.174%, according to experimental findings, demonstrating precise and reliable control performance. 
Design and Operational Evaluation of Off-Grid Solar Power Plants with Integrated Automatic Cleaning Systems for Enhanced Performance Nazris Nazaruddin; Yani Kamisa Putri; Dedi Erawadi; Herisajani; Hanalde Andre; Ahmad Ilyas Putra Riancefi; Akbar Abadi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/yg1rk540

Abstract

This study details the design and experimental evaluation of an off-grid photovoltaic (PV) system equipped with an automatic solar panel cleaning mechanism to address performance degradation due to dust accumulation. The system integrates a mechanical wiper-based cleaning unit, solar charge controller (SCC), inverter, and low-voltage disconnect (LVD) to maintain reliable and stable operation in stand-alone settings. Experimental tests were performed on a 50 Wp PV module under actual outdoor conditions in Padang, Indonesia. System performance was assessed before and after panel cleaning using key electrical parameters, such as output voltage, current, output power, and relative efficiency improvement. Results show that the automatic cleaning mechanism increased the average PV output power from 0.88 W to 1.71 W, representing an efficiency improvement of approximately 11.89% compared to the uncleaned state. In contrast to previous studies that focus on grid-connected systems or manual cleaning methods, this research introduces a low-cost, self-operating cleaning solution tailored for small-scale off-grid PV applications in tropical environments. The proposed system offers practical benefits for enhancing energy yield, system reliability, and maintenance efficiency in remote solar installations.
Intelligent Fault Detection In a 25 MVA Transformer Using ANFIS Zakri, Azriyenni; Firdaus, Hari; Ihsan, Boy; Usman, Jafaru; Sunanda, Wahri
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/39mt0605

Abstract

This study aims to develop an intelligent fault prediction model for a 25 MVA power transformer using the Adaptive Neuro-Fuzzy Inference System (ANFIS), to improve classification accuracy and ensure selective, reliable protection decisions in power systems. The research is grounded in the limitations of traditional differential relay protection, which struggles to distinguish between internal and external faults during transient conditions. ANFIS combines fuzzy logic’s ability to handle uncertainty with the adaptive learning of neural networks, making it a suitable tool for non-linear fault data analysis. A simulation was carried out in MATLAB/Simulink. Current signals from CTs on both primary and secondary sides served as input features. The model was trained using 270 data samples and tested with 30 samples. Two membership functions generalized bell-shaped (Gbell) and triangular (Tri) were evaluated. RMSE was used as the performance metric. The ANFIS model with Gbell MF yielded a lower RMSE (0.0116) compared to Tri MF (0.0445), indicating better prediction accuracy and stability. The system consistently identified internal faults (output 1), and external faults (output 0) based on a 0.5 decision threshold. The findings validate the potential of ANFIS for integration into digital relay systems, enhancing real-time transformer protection through adaptive learning.
Microwave Sensing of Sugar Solution Concentration Using a 2.4 GHz Microstrip Antenna Andre, Hanalde; Nelson, Jimmy; Pratama, Rizki Wahyu; Zaky, Toha
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/x1332v45

Abstract

Microstrip antennas are widely used in sensing applications according to compact, low-cost, and easy to fabricate. This study presents the design and evaluation of a 2.4 GHz circular patch microstrip antenna integrated with a split-ring resonator (SRR) for sensing sugar-solution concentration through dielectric property induced perturbations. The antenna employs an inset feed configuration and is implemented on an FR4 substrate. The design and parametric analysis are carried out in simulation by placing sugar solutions with mole fractions from 0 to 0.04 in the sensing region. In result, we observe changes in resonant frequency, minimum return loss, and quality factor (Q). The simulations indicate monotonic trends with concentration, with the minimum return loss becoming less negative as concentration increases, accompanied by reductions in resonant frequency and Q. Experimental measurements of the fabricated prototype, however, show weaker and less consistent correlations across the same parameters, highlighting the sensitivity of the response to practical factors such as sample positioning, fabrication tolerances, and measurement repeatability  
Energy Audit and Optimization of Energy Consumption in the Electronics Manufacturing Industry based on ISO 50001:2018 Harits Ulhaq Hadyan, Abudhiya; Gagarin Irianto, Chairul; Alam, Syah
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/3gtqn631

Abstract

The development of modern science and technology, especially in the field of industry. Currently, It will grow every year in line with the increasing demand for electricity. The increase will be directly proportional to the increasing needs and production targets in the Electronics Industry. PT XYZ is a manufacturing industry that produces electronic products will use quantitative methods based on the ISO 50001: 2018 framework in companies that consume fossil energy from PLN sources. Industries that have a land area of 25,552.76 m². In 2022 the total energy consumption of PT XYZ amounted to 8,133.08 MWh kWh with an average of 677.75 MWh per month and is expected to increase by 2% in 2023. This research will computer loads as the most widely used loads in the Electronics Manufacturing Industry. Therefore, this research will determine the value of Energy Consumption Intensity (IKE) and determine Energy Saving Opportunities (PHE) based on ISO 50001: 2018 to facilitate assessments, decisions, and quick actions of relevant parties in saving electrical energy in order to minimize waste of electrical energy in accordance with the principles of energy management. The savings generated by this application reach 77,839 kWh/m² per year and potential electricity cost savings of around Rp 170,780,234.63 per year
Analysis of Energy Management System and Feasibility of 25 kWp Rooftop Solar Power Plant using Techno-Economic Method in DKI Jakarta Regional Government Building Septian, Angga; Irianto, Chairul G.; Sari, Lydia
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/bya4pe78

Abstract

The building sector is a major contributor to energy consumption and greenhouse gas emissions in Indonesia, accounting for approximately 50% of national energy use and nearly 30% of total emissions. This study evaluates the implementation of an ISO 50001–based Energy Management Systems (EnMS) in a government building in Jakarta, combining energy efficiency retrofits with rooftop photovoltaic (PV) integration. The research contributes a comprehensive technical and economic assessment that quantifies energy savings, emission reductions, and financial feasibility within a replicable public-sector framework. The methodology included an ISO 50001–aligned energy audit, building energy simulation using DesignBuilder, PV system design with PVsyst, and economic feasibility analysis. LED lighting retrofits reduced lighting energy consumption by 38.14%, while air-conditioning optimization improved thermal comfort. A 24.75 kWp rooftop PV system generated 33,428 kWh annually, supplying 17.97% of the building’s electricity demand. In total, the integrated measures achieved annual energy savings of 37,587 kWh and reduced emissions by 31.57 tons of CO₂. Economic analysis indicated that the project was financially feasible, with a positive NPV, a 6% IRR, an 8.18% ROI, and a payback period of approximately 14 years. The integrated approach proved effective and showed strong potential for replication in similar public buildings.
Harmonic Distortion Assessment of Nonlinear Medical Loads in a Hospital Distribution Network Using ETAP Simulation  Mangopo, Dultudes; Rimbawati; Harahap, Partaonan; Nurdiansyah
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/7dhw9759

Abstract

The growing use of power-electronics-based medical equipment has significantly altered the load characteristics of hospital electrical distribution systems. As nonlinear devices increase, harmonic distortion becomes a critical power quality concern that may affect equipment reliability and operational safety. This study investigates harmonic behavior in a 20 kV/0.4 kV hospital distribution network through harmonic load flow simulation using ETAP software. Total Harmonic Distortion of Voltage (THDv) and Total Harmonic Distortion of Current (THDi) are evaluated at selected buses and at the Point of Common Coupling (PCC), with reference to IEEE Std. 519-2014. Simulation results indicate that two low-voltage buses supplying high-capacity medical equipment exhibit THDv values of 8.21% and 6.74%, exceeding the recommended 5% limit. The THDi at the PCC reaches 14.37%, surpassing the allowable limit for the calculated short-circuit ratio (Isc/IL = 8.43). Dominant harmonic components are identified at the 5th and 7th orders, confirming the influence of rectifier-based medical systems and UPS units. The findings demonstrate that nonlinear medical loads significantly contribute to harmonic propagation, increased branch losses, and voltage distortion. Appropriate mitigation strategies, including harmonic filtering and load configuration adjustments, are therefore essential to ensure compliance with power quality standards and to maintain reliable hospital operation.
Optimization of Smart Building Electrical Load Prediction Using Long Short-Term Memory Ali Aqil; Nugraha, Yoga Tri; Sumita Wardani; Mawardi; Muhammad Irwanto
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/hn0m4j24

Abstract

The advancement of smart building technologies requires energy management systems that are both efficient and capable of adapting to dynamic operational conditions. A key component of such systems is reliable electrical load forecasting, as building energy demand is affected by environmental conditions, occupancy behavior, and operational activities that exhibit nonlinear and time-dependent characteristics. This study explores the use of the Long Short-Term Memory (LSTM) approach for forecasting smart building electricity consumption based on multivariate time-series data. The input dataset incorporates temporal features, ambient temperature, humidity levels, occupancy-related patterns, and major electrical load components within the building. The research workflow consists of data preprocessing, normalization, time-series construction using a sliding window strategy, LSTM model training, and evaluation of forecasting performance. The findings indicate that the building’s electricity demand varies approximately between 6 kW and 17 kW, with an average load ranging from 11 to 12 kW. Performance assessment yields an RMSE of about 3 kW and a MAPE of roughly 25%. The largely symmetric error distribution around zero suggests minimal systematic bias in the predictions, although the model’s accuracy during peak demand periods remains limited.
Development of E-Tourism System for the Bangka Islands Using the Extreme Programming Method Towards Digital Tourism Zaliman, Iski; Arkan, Fardhan; Anggita, Wenni; Tou, Nurhaeka; Ilmatus Sakdiyah, Nanda Aulia; Wafiqoh, Risnina; Endraswari, Putri Mentari
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/pcpqk114

Abstract

Regional tourism often faces obstacles in providing fast, accurate, and easily accessible destination information to tourists. Many regions lack a digital platform capable of presenting information in an integrated manner, making it difficult for tourists to obtain an overview of tourist attractions, supporting facilities, and travel routes. This information accessibility problem affects the efficiency of tourism promotion and results in suboptimal implementation of digital transformation concepts. This study aims to develop and evaluate a E- Tourism application to improve the accessibility of tourism destination information and support digital transformation in the regional tourism sector. The system development was carried out using the Extreme Programming (XP) approach to ensure a fast iterative process, flexibility to respond to changing user needs, and software quality improvement in each testing cycle. Usability evaluation was conducted using the System Usability Scale (SUS) method involving 70 general user respondents. The test results show that the application obtained a SUS score of 75.74 in the acceptable category, indicating that the application is easy to use, clear, and aligned with tourism information needs.
Optimized PID Tuning in Pyrolysis Temperature Control Using Genetic Algorithm and Particle Swarm Optimization Hartono; Yunita Umniyati; Eka Budiarto; Henry Nasution; Mulyadi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/k64tmh54

Abstract

Temperature control is crucial for maintaining stable and effective thermal treatment in pyrolysis system. For this application, Proportional-Integral-Derivative (PID) controller is frequently utilized due to its ease of use and efficiency. This study aims to evaluate and compare the performance of classical and metaheuristic tuning methods for PID controllers in pyrolysis temperature control. This work compares conventional Ziegler-Nichols (ZN) and Cohen-Coon (CC) methods with metaheuristic optimization techniques, specifically Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), for tuning PID controller parameters. The main contribution of this research is the demonstration of improved control performance and computational efficiency using PSO-based PID tuning for pyrolysis applications. Simulation results show that PID controllers that the parameters tuned by GA and PSO achieve faster and smoother responses, with small overshoot, compared to classical methods. From both methods, PSO provides balanced performance with the shortest rise time (30.66 s), fastest settling time (50.80 s), and lowest overshoot (1.15%). Although both GA and PSO can maintain the set point of 500 °C with satisfactory transient response, PSO also shows better convergence efficiency, with smaller iteration numbers and lower computational effort. The results indicate that PSO-tuned PID is suitable for pyrolysis temperature control applications.

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