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Media Elektrik
Published by Universitas Negeri Makassar
ISSN : 19071728     EISSN : 27219100     DOI : 10.59562/metrik
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
Publications in the areas of Electrical Engineering, Information and Computer Engineering, and Control include research articles and reviews of the literature.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 228 Documents
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Tuning the Alpha Hyperparameter in the Multires U-Net Architecture for Segmentation of Bali Pendet Dance Images Darmawan Bakti, Lalu; Nasirudin Karim, Muh; Imran, Bahtiar
Jurnal Media Elektrik Vol. 23 No. 2 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i2.11944

Abstract

Bali’s traditional Pendet dance represents an important cultural heritage that requires preservation. To support dance recognition, this study applied semantic segmentation to Pendet dance images using the Multires U-Net architecture with alpha hyperparameter tuning. Specifically, three optimization methods Particle Swarm Optimization (PSO), Grid Search, and Random Search were evaluated using the Jaccard Index, Dice Coefficient, and Mean Squared Error (MSE). The results demonstrate that Grid Search produced the optimal alpha value of 1.45, achieving average Jaccard and Dice scores of 98.5002 and 99.2439, respectively. These results outperform previous research (98.4746; 99.2309), PSO (98.4883; 99.2378), and Random Search (98.4837; 99.2352). For MSE, the prior study reported the best score of 7.608E-04, followed by Grid Search (7.659E-04), PSO (7.663E-04), and Random Search (7.765E-04). These findings highlight the effectiveness of Grid Search in optimizing the alpha hyperparameter for the Multires U-Net architecture and demonstrate a significant performance improvement compared to earlier studies.
Development of a Forward Chaining Expert System for Early Diagnosis of Eye Diseases at Padang Eye Center Hospital Afriyani, Risti; Ramanda, Febri; Bunga Ramadhan, Anggun; Bayu Setiaji, Muhammad
Jurnal Media Elektrik Vol. 23 No. 2 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i2.11945

Abstract

Objective: The inefficiency of the manual medical check-up process at the Rumah Sakit Mata Padang Eye Center, characterized by paper-based recording, long waiting times, inconsistent symptom documentation, and heavy reliance on limited ophthalmologists, motivated this study. The objective was to develop a web-based expert system that enables patients to perform preliminary self-diagnosis of common eye diseases through interactive yes/no symptom consultation while integrating the forward chaining method with patient data management to support early detection and reduce specialist workload. Method: This study adopted a Research and Development (R&D) approach using the sequential linear (waterfall) model. Data were collected through field observations, interviews with ophthalmologists and staff, questionnaires, and a literature review at Padang Eye Center. The system was implemented using PHP and MySQL, incorporating decision trees, Data Flow Diagrams, and production rules with a Certainty Factor. Results: Functional testing on 50 test cases revealed that the prototype achieved 92% diagnostic accuracy, 94% precision, and an average processing time of 0.82 seconds, representing an 85% reduction in consultation time compared to the manual process. The system successfully generated consistent diagnoses with treatment and prevention recommendations for conditions such as eyelid edema, blepharitis, and trichiasis. Novelty: The novelty of this study lies in the seamless integration of forward chaining inference, symptom weighting, and modular web interfaces specifically designed for real clinical workflows in an Indonesian eye hospital, features rarely combined with previous standalone prototypes. This study provides both practical improvements in service efficiency and theoretical contributions to accessible, explainable rule-based expert systems in ophthalmology.
UML-Based Web Information System for Indonesian Migrant Worker Recruitment: A Case Study at PT Dewi Pengayom Bangsa Ramanda, Febri; Afriyani, Risti; Sella, Puspita Sari; Ardika, Kevin
Jurnal Media Elektrik Vol. 23 No. 2 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i2.11947

Abstract

Objective: Private Indonesian migrant worker placement agencies, such as PT Dewi Pengayom Bangsa in Pati Regency, still rely on paper-based and inefficient manual recruitment processes. These processes face issues such as slow data retrieval, excessive physical storage demands, and document accumulation. This study aimed to develop a web-based information system to digitize the recruitment workflow of Indonesian migrant workers (Calon TKI) in Taiwan, Hong Kong, and Singapore. Method: A systems development approach using the waterfall model was employed. Data were collected through on-site observation and semi-structured interviews with agency staff and management, complemented by secondary data from the literature on information systems and migrant labor policies. The system was designed using UML diagrams and implemented using PHP and MySQL. The evaluation included black-box testing and usability assessments. Results: The system integrated eight core modules: online registration, candidate management, automated examination, interview recording, and real-time PDF reporting. Testing showed a 100% success rate in black-box testing and an average usability score of 82.3. Efficiency improvements were substantial: registration time was reduced by 82%, data retrieval improved by 95%, and data entry errors dropped by 92%. Novelty: This study introduces a UML-modeled web-based recruitment system tailored for private TKI agencies at the regency level, offering significant efficiency gains and supporting Indonesia’s BP2MI policies.
Blockchain for Security and Privacy in AI-Based Education: A Systematic Literature Review M. Zian Al Farisi. Bz; Khairan AR; Malahayati Malahayati; Hendri Ahmadian
Jurnal Media Elektrik Vol. 23 No. 3 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i3.11335

Abstract

The transformation of education driven by artificial intelligence (AI) requires massive data flows, which poses serious challenges to student privacy if stored on a centralized infrastructure. This Systematic Literature Review (SLR) aimed to evaluate the effectiveness of blockchain technology in mitigating AI data security risks (RQ1) and analyze the role of data sovereignty mechanisms in protecting student privacy (RQ2). Following the PRISMA guidelines, a literature search was conducted in the DOAJ and IEEE Xplore databases (2021–2026). From the initial 873 articles, 20 high-quality articles were selected through a quality assessment procedure and analyzed using Narrative Synthesis Analysis. The results of the empirical analysis show that centralized databases are highly vulnerable to Single Points of Failure (SPOF). As a solution, blockchain integration mitigates this risk through the implementation of Self-Sovereign Identity (SSI) and Zero-Knowledge Proofs (ZKP), which enable AI models (Federated Learning) to verify data without compromising Layer-2 scalability (zk-rollups), which have been shown to reduce transaction costs by up to 90%, as well as agent-centric protocols (holochain) for ecological efficiency. This study recommends that educational institutions and Ed-Tech developers transition to a hybrid storage architecture. The limitations of this study include the niche nature of the literature sample and the scope limitations of the database. Future research should focus on testing the latencies of real-time prototypes in academic environments.
Grid-Connected Solar PV Optimization for Lighting Systems: A Case Study at a Tropical Campus Building in Indonesia Firdaus Firdaus; Mudarris Mudarris
Jurnal Media Elektrik Vol. 23 No. 3 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i3.12071

Abstract

In an effort to reduce dependence on fossil fuels and increase the use of renewable energy, this study examines the optimization of lighting for the Dean's Building at the Faculty of Engineering, Makassar State University (UNM) using solar panels as the primary energy source. This study includes calculating energy needs, designing an on-grid solar panel system, and analyzing the efficiency and effectiveness of its implementation. Based on observational data, the building's total electricity load reached 2,543 kW with an estimated daily usage of 11.25 kWh. Using the HOMER simulation, an optimal design for a solar power system with a capacity of 6.18 kW was obtained. This system consists of 20 units of Canadian PV modules, two BAE PVS batteries with a capacity of 1.4 kWh, and a SolaX X3 inverter with a capacity of 5 kW. Simulation results indicate that this system can meet lighting demands efficiently, producing 10,749 kWh annually with a PV capacity factor of 19.9%, while reducing operational costs by over IDR 3 million annually and contributing to carbon emission reduction. The implementation of this system also demonstrated a reduction in operational costs and a significant contribution to the reduction of carbon emissions, making it an efficient and sustainable solution for lighting academic buildings.
Economic Feasibility and Avoided Carbon Emissions of Geothermal Power Plant Retrofit: An ARIMA–Monte Carlo Approach A Wisnu Ari Wibowo; Dhany Harmeidy Barus
Jurnal Media Elektrik Vol. 23 No. 3 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i3.12229

Abstract

Retrofitting existing geothermal power plants offers an opportunity to increase electricity generation without requiring additional land development while contributing to carbon emission reduction. This study evaluated the economic feasibility and avoided carbon emissions of a geothermal power plant retrofit using an integrated ARIMA–Monte Carlo approach. Historical electricity generation data from 2012 to 2025 were analyzed using an ARIMA(0,1,1) model, with projections covering 2026–2039. The forecast results were incorporated into a discounted cash flow analysis using the Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period, and Levelized Cost of Energy (LCOE). The uncertainty was evaluated using a Monte Carlo simulation with [N] iterations. The ARIMA model achieved a Mean Absolute Percentage Error (MAPE) of 1.84% based on walk-forward validation and estimated additional electricity generation of approximately 160,167 MWh per year. The integrated analysis resulted in an average NPV of USD 11.59 million, IRR of 13.60%, Payback Period of 6.12 years, and LCOE of USD 0.0614/kWh. The simulated NPV ranged from USD 10.91 million at P10 to USD 12.28 million at P90. The retrofit was estimated to avoid approximately 131,817 tons of CO₂ emissions annually compared with the JAMALI grid emission factor, whereas the direct geothermal emissions were approximately 7,528 tons CO₂ per year. The retrofit LCOE was approximately 13.5% lower than the 2023 global weighted-average geothermal LCOE reported by IRENA, indicating economic feasibility and competitive cost performance.
Increasing the Resistance of the Grounding System in the Electrical Engineering Building of the Fakfak State Polytehnic Using Parallel Copper Rods and Additional Materials Naomi Lembang; Herman HR; Rusliadi Rusliadi; Arif Aminullah; Yulianto La Elo
Jurnal Media Elektrik Vol. 23 No. 3 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i3.12387

Abstract

T he grounding system is an important component in electrical installations that ensures human safety, protects electrical equipment, and maintains the reliability of the electrical power distribution system. The condition of the grounding system in the Electrical Engineering Building of Fakfak State Polytechnic is still not optimal because the grounding resistance value obtained is relatively high. The grounding resistance value that exceeds the standard can reduce the effectiveness of the grounding system, thereby increasing the risk of interference, equipment damage, and danger of electric shock. This study aimed to analyze the existing condition of the grounding system and evaluate improvement efforts to improve the safety and reliability of electrical installations in the building. The research method used was a quantitative method with an experimental approach through measuring the grounding resistance before and after the improvement. Measurements were carried out using the three-point method with an Earth Tester measuring instrument to obtain accurate soil resistance values. Improvement efforts were made by adding two copper electrodes and utilizing additives in the form of a mixture of bentonite, salt, and charcoal around the electrodes to increase soil conductivity. The initial measurement results showed a grounding resistance value of 10.67 Ω, which still exceeded the maximum limit based on PUIL 2011, which is ≤ 5 Ω for general installations. After the repairs, the grounding resistance value decreased to 6.96 Ω, a decrease of approximately 34.8% from the initial condition. Although these results do not fully meet the 2011 PUIL standards, this study proves that the addition of electrodes and the use of additives can significantly increase the effectiveness of the grounding system. The results of this study are expected to serve as a reference in efforts to improve the quality of grounding systems in educational buildings and similar electrical installations.
Design and Evaluation of an IoT-Based Monitoring and Biogas Distribution Control Prototype Using Palm Oil Mill Effluent Rifki Rifki; Asminar Asminar; Abdul Djohar; Mustarum Musaruddin; Hasmina Tari Mokui; Adhi Setiawan Samsul
Jurnal Media Elektrik Vol. 23 No. 3 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i3.13277

Abstract

Palm Oil Mill Effluent (POME) can be converted to biogas through anaerobic digestion; however, prototype-scale monitoring requires careful interpretation of low-cost sensor data. This study developed and performed a preliminary functional evaluation of an ESP32-based monitoring and biogas distribution control prototype using a 120-L digester charged with 50 L of POME and 50 L of water for four weeks. Five-point comparisons yielded mean absolute errors of 1.10 °C for the DS18B20 temperature sensor, 0.10 bar for the WPT83-G pressure sensor, and 0.132 V for the PZEM-004T voltage channel, respectively. The Blynk dashboard was programmed to update every 2 s, which was not a network latency measurement. Digester MQ-4 nominal readings increased from 0-351 in week 1 to 1,988-3,420 in week 4, while gas-bag readings reached 450-750. Because the MQ-4 sensor was not calibrated with certified methane mixtures, these values are relative gas-sensitive readings rather than validated methane concentrations. Both solenoid valves followed four commanded on/off states. Therefore, the prototype demonstrates proof-of-concept functional integration of sensing, visualization, and valve actuation, while gas composition, gas volume, network reliability, and generator performance require further validation.
Development of an Augmented Reality and AI-Based SIBI Recognition Application for Deaf Students at a Special School Taufik Bahtiar; Haripuddin Haripuddin; Hasrul Bakri; Ahmad Aiman Sanjaya
Jurnal Media Elektrik Vol. 23 No. 3 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i3.13317

Abstract

This study aimed to develop and evaluate an Android-based learning application that integrates Augmented Reality (AR) and artificial intelligence to support Indonesian Sign Language System (SIBI) learning for deaf students. The study employed the Research and Development (R&D) method using the Four-D (4D) model consisting of Define, Design, Develop, and Disseminate stages. The gesture recognition module combined MediaPipe for hand landmark detection with MobileNetV2 for gesture classification, achieving an approximate recognition accuracy of 89 %. The model was trained using 80% of the training data and 20% of the testing data. Expert validation involved two content experts and two media experts, while practicality testing involved 12 respondents (nine deaf students and three teachers). Effectiveness was evaluated using a one-group pretest-posttest design involving nine deaf students across four learning sessions. Data were collected through observations, interviews, documentation, questionnaires, and learning achievement assessments. The developed application obtained an overall expert validation score of 4.67 (Very Valid). The software quality evaluation based on the selected ISO/IEC 25010 characteristics showed 100% functional suitability, 80% portability, and 100% compatibility. The practicality testing produced an average score of 4.63 (Very Practical). The effectiveness evaluation indicated a significant improvement in learning outcomes (p = 0.001), with a moderate N-gain (0.56) and 77.78% classical learning mastery. These findings indicate that the developed application is valid, practical, and capable of supporting SIBI learning in preliminary classroom implementation. Nevertheless, the findings should be interpreted within the scope of a limited trial involving a small sample size and the absence of a control group.
PPO-Based Sim-to-Real Maples’ Navigation for TurtleBot3 Mobile Robots in Unknown and Dynamic Indoor Environments Nabeel Muhamed; Khaleel Ali Khudhur
Jurnal Media Elektrik Vol. 23 No. 3 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i3.13410

Abstract

Objective: In the field of mobile robotics, autonomous navigation in dynamic environments is one of the most challenging tasks in these environments: traditional methods based on pre-mapping and geometric planning are not effective in these environments due to uncertainty, and reactive methods are lacking in foresight. The work in this thesis tackles these issues by developing and testing an end-to-end Deep Reinforcement Learning (DRL) framework for maples navigation. Methods: A Proximal Policy Optimization (PPO) agent is trained using observations from LiDAR and goal-relative inputs in a high-fidelity open-source simulator that has been domain randomized in order to improve generalization. The trained policy is then transferred to a physical TurtleBot3 platform, with a safety supervisor controlled fine-tuning process. Comprehensive evaluation is performed on five simulated test scenarios (S=5), with 50 episodes per test scenario (250 episodes in total), with real-world trials performed on 20 trials in two different physical settings: cluttered lab and pedestrian corridor. The proposed approach is compared with a DDPG agent, as well as a standard A*+DWA pipeline using paired t-tests (α=0.05) and two-proportion z-tests, with statistical significance confirmed. Results: In simulation, the PPO agent has a success rate of 94% and a normalized path length of 1.18, both of which are significantly higher than those of A+DWA, which are 76% and 1.32 respectively (p<0.001 for both metrics); the agent takes 28.3 s to complete the task, which is significantly faster than A+DWA's 41.2 s (p<0.001). The success rate in the real-time laboratory test is 90%, and the inference time is 8.5ms/s. When the approach is used in structured corridor settings, the A+DWA baseline outperforms the PPO baseline with a 95% success rate vs. 85% for the PPO baseline, though. Novelty: The results of this study show that a PPO-based policy trained only in simulation and fine-tuned only on a small number of real-world tasks can compete with the classical and alternative DRL baselines in unknown and dynamic environments. The results form a feasible basis for the implementation of a learning-based navigation controller on low-cost mobile platforms and offer a fair comparison between the performance and limitations of learning-based navigation controllers and traditional ones.

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