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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 213 Documents
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Digital Security Adoption in Smart Lock Systems: A Systematic Literature Review Based on the Diffusion of Innovations Theory Zumara, Muzammil; Malahayati, Malahayati; Ahmadian, Hendri
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.v23i2.11248

Abstract

The rapid development of Internet of Things (IoT) technology has transformed traditional residential security into an interconnected smart home ecosystem, where smart locks function as key devices for digital access control. However, despite growing market penetration, their adoption remains constrained by concerns related to security perception and user trust. This study analyzes the adoption of digital security in smart locks using the perspective of Diffusion of Innovations theory through a Systematic Literature Review (SLR) approach following the PRISMA Protocol. Literature was collected from IEEE Xplore, Scopus, ScienceDirect, and Google Scholar covering the 2019–2025 period, resulting in 25 selected studies. The synthesis indicates that relative advantage and compatibility act as the primary drivers of adoption, while technical complexity and cybersecurity risks represent major barriers. In addition, user trust is identified as a critical mediating factor influencing adoption decisions. Nevertheless, several limitations should be noted. The abstract does not clearly specify the inclusion and exclusion criteria applied during the literature selection process, which reduces methodological transparency. Moreover, although the number of analyzed articles is stated, the dominant research design whether qualitative, quantitative, or experimental is not explained, limiting the reader’s ability to evaluate the strength of the evidence. Consequently, while the findings highlight practical implications such as improving interoperability through protocols like Matter and strengthening user education to reduce perceived risks, the conclusions should be interpreted cautiously within the scope of the review.
Comparison of K-Means, HDBSCAN, and Hierarchical Clustering (Gower) Algorithms for Clustering Autism Spectrum Disorder (ASD) Profile Data Setiawan, Hendi; Saputra, Danandjaya; Raras Setyoningrum, Nanny
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.v23i2.11271

Abstract

This study compares the performance of three clustering algorithms, namely, K-means, HDBSCAN, and Gower distance-based hierarchical clustering, for identifying latent profile groups in ASD data. The novelty of this research lies in the integrated evaluation of conventional numerical clustering methods and a mixed-data clustering framework that incorporates clinically relevant categorical variables, enabling more interpretable ASD subgroup discovery. A quantitative experiment was conducted using a validated dataset of 500 ASD records comprising demographic attributes, symptom indicators, and developmental assessment scores (24 features). K-means and HDBSCAN were applied to eight numerical profile dimensions, whereas hierarchical clustering used 18 mixed numerical–categorical features with Gower distance. Cluster quality was evaluated using the silhouette score, Calinski–Harabasz index, and density-based clustering validation (DBCV). The results indicate that K-means achieved the strongest global partition structure (silhouette = 0.1775; Calinski–Harabasz index [CH] = 59.54), outperforming the other methods as a practical baseline for structured numerical ASD data. HDBSCAN showed competitive clustering performance while uniquely identifying 19.8% of observations as noise, suggesting its usefulness for detecting atypical or rare ASD cases. Although hierarchical–Gower produced lower internal metrics (silhouette = 0.0441), it successfully integrated categorical clinical variables, offering richer contextual segmentation than purely numerical approaches. These findings demonstrate that no single algorithm is universally optimal for ASD profiling; instead, clustering selection should align with analytical objectives, such as compact grouping, anomaly detection, or clinically interpretable subgrouping.
Performance Analysis of Double Boost Converter Based on Incremental Conductance Algorithm in PV System with Partial Shading Conditions Hermansyah, Hermansyah
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.v23i2.11423

Abstract

This study aims to analyze the performance of the Incremental Conductance Maximum Power Point Tracking (MPPT) method on a photovoltaic (PV) system operated under partial shading conditions using a double boost converter topology. This study is motivated by the limitations of the conventional MPPT method in accurately tracking the Global Maximum Power Point (GMPP) under multi-peak power conditions due to partial shading, as well as the limited studies that integrate the Incremental Conductance method with a double boost converter. The PV system studied consists of four modules configured in series-parallel and connected by a double boost converter. The converter duty cycle is controlled using the Incremental Conductance algorithm designed to detect changes in conductance with voltage. Performance evaluation wascarried out through simulations using the PSIM software by applying three different partial shading patterns to test the GMPP tracking capability and system response. The simulation results show that the system can extract 185.40 W of input power and produce 180.66 W of output power in the first shading pattern. In the second and third patterns, the input power is 184.77 W and 183.52 W, respectively, with output power of 180.05 W and 178.76 W. The MPPT efficiency obtained is in the range of 97.40%–97.44% with a system response time of 0.1 ms. These results indicate an increase in the tracking capability compared with conventional approaches that generally experience oscillations in multi-peak conditions. The novelty of this research lies in the integration of the Incremental Conductance method with a double boost converter topology to improve the accuracy of GMPP tracking in partial shading conditions. In addition, this research demonstrates that the proposed approach is capable of producing high efficiency and fast response; therefore, it has the potential to be applied to real PV systems to improve reliability and energy efficiency in non-uniform environmental conditions.
Noise Reduction Optimization in a Single-Axis Capacitive MEMS Accelerometer Using Sigma-Delta Modulation and Digital Filter Order Analysis Jansen, Lotte; Visser, Sanne
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.v23i2.11465

Abstract

Noise significantly limits the performance of capacitive MEMS accelerometers in high-precision sensing applications. This study investigates the effectiveness of Sigma-Delta Modulation (SDM) in reducing noise in a single-axis capacitive micro accelerometer (ADXL193) through systematic digital filter order optimization. The noise floor was measured under different SDM filter configurations to evaluate noise suppression characteristics, frequency rejection performance, settling time, and computational complexity. Experimental results demonstrate that SDM substantially reduces noise, particularly at power-line interference frequencies of 50 Hz and 60 Hz. Increasing the filter order enhances noise attenuation, achieving up to approximately 119 dB rejection for third-order filters, while simultaneously lowering the cutoff frequency. However, higher filter orders introduce longer settling times and increased computational demands. The findings reveal a clear trade-off between noise reduction performance and real-time system responsiveness. This study provides practical guidelines for selecting optimal filter orders in SDM-based MEMS accelerometer systems and highlights the potential of SDM techniques to significantly improve sensor signal quality for precision measurement applications.
Banana Ripeness Classification Using Convolutional Neural Network Based on Resnet-50 Khalis Fikri, Muhammad; 'Asyarina Ramadhani, Salisa; Haryus Wirasapta, Andicho; Rabiula, Andre; Anzari, Yandi; Alghifari, Hamzah; Sajjad Mishi, Salmuna
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.v23i2.11482

Abstract

The manual assessment of banana ripeness on an industrial scale is subjective, time-consuming, and inconsistent. This necessitates an automated computer vision system. Previous studies have used shallow Convolutional Neural Networks (CNNs) for binary classification, but these networks often struggle with complex ripening stages and degrade in deeper networks. This study addresses this gap by implementing a deep learning algorithm using the ResNet-50 architecture. The residual block mechanism extracts fine-grained visual features without vanishing gradient issues. The model was evaluated using a diverse dataset of 13,478 digital images spanning four stages of banana ripeness: overripe, ripe, rotten, and unripe. Using a 95-5 train and test-validation split, the model was optimized over 50 epochs with a categorical cross-entropy loss function. The proposed model achieved outstanding accuracy (98.13%), minimal loss (0.1237), and average precision, recall, and F1-scores of 98.09%, 98.20%, and 98.14%, respectively. This study scientifically validates the robustness of deep residual networks in complex agro-industrial pattern recognition. Furthermore, with an inference time of approximately 50 ms per image, the system is ready for seamless integration into an automated sorting line.
Performance and Reliability Assessment of the APS 2.0 Pneumatic Safety System for Fuel Tank Tanker Operations on Inclined Road Conditions Syafrie, Muh.; Ilyas Wirawan, Radithya; Hidayah Toufan, Fandy; Agung Apriyanto, Taufik
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.v23i2.11487

Abstract

Fuel tanker trucks operating on inclined roads face high safety risks owing to potential rollback events that can cause accidents, infrastructure damage, and fires. This study evaluated the performance, reliability, and feasibility of the Automatic Parking Safety (APS) 2.0 system, a pneumatic preventive device designed to mitigate rollback risks. The system integrates a pneumatic wheel chocking mechanism with dual sensors (inclination and motion) to improve activation accuracy and prevent false triggering, offering a physical restraint solution that is beyond the capabilities of conventional brake-based hill-start assist systems. An applied experimental method was used, including material compliance testing, pneumatic performance testing (6–8 bar), system integration, inclined road simulations, and three months of field monitoring. The results show stable performance without leakage, an average response time of ±3 s, consistent operation over repeated cycles, 100% activation accuracy under hazardous conditions, and zero accidents during the field evaluation. These findings indicate that the APS 2.0 is a feasible, safe, and reliable preventive system for tanker truck operations on inclined roads.
Development of the KOUTI GPS Tamper-Resistant Monitoring System for Preventing Fuel Distribution Fraud in Tanker Trucks Syafrie, Muh.; Agung Apriyanto, Taufik; E Kumindang, Ridnal; Herman, Herman; Wasiu Akande, Ahmed
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.v23i2.11761

Abstract

The integrity of the fuel distribution system is highly dependent on the reliability of Global Positioning System (GPS) monitoring devices used to track tanker truck movements in real time. However, in operational practice, GPS devices are still vulnerable to physical manipulation, removal, and other disturbances, which can reduce the validity of the monitoring data and increase the risk of distribution deviations. This study uses an engineering development and implementation approach to design, prototype, and evaluate KOUTI GPS, a tamper-resistant monitoring system that integrates a mechanical protective cover, a micro switch sensor for unauthorized opening detection, and real-time notification on the fleet monitoring dashboard. The system was implemented on [n] tanker trucks for [x] days/week and evaluated through material testing, functional testing, system integration testing, operational simulation, and performance testing. The evaluationindicators included GPS positioning accuracy, disturbance detection response time, signal stability, data validity, and system reliability. The test results show that the system is able to maintain position accuracy deviations up to ±5 m, generate disturbance alerts in less than 1 swhen the box is opened, display real-time notification integration, and maintain 100% data validity without significant system disruptions during the monitoring period. Compared with conventional fleet monitoring systems that typically emphasize software-based tracking, KOUTI GPS offers a device-level approach through the integration of physical protection and real-time tamper detection. These findings suggest that this approach has the potential to improve monitoring integrity and operational transparency in fuel distribution and could be considered for other fleet applications requiring a more secure GPS infrastructure.
Integrating Green IT into IS/IT Strategic Planning: A Ward and Peppard Framework for Sustainable Digital Transformation in Higher Education Pujiono, Agung; Samopa, Febriliyan; Rabiula, Andre; Haryus Wirasapta, Andicho; Fikri Muhammad , Khalis Fikri
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.v23i2.11875

Abstract

The development of information systems and information technology (IS/IT) has significantly transformed higher education; however, inadequate strategic planning often leads to inefficiencies and environmental impacts, such as high energy consumption and electronic waste. Despite the growing importance of sustainability, existing IS/IT strategic planning approaches generally do not explicitly integrate environmental considerations, thus creating a gap between digital transformation and sustainability objectives. This study aims to develop an IS/IT strategic planning framework that integrates green IT principles within the Ward and Peppard methodology. A qualitative case study approach was applied at Akademi Farmasi Yarsi Pontianak using data collected through interviews, observations, and questionnaires. The analysis incorporated multiple frameworks, including the Balanced Scorecard, PEST, Porter’s Five Forces, SWOT, and Critical Success Factors. The results produced integrated IS/IT strategies that align organizational goals with sustainability principles, including the development of information systems, environmentally oriented IT infrastructure, and governance mechanisms that support green IT implementation. The findings indicate that integrating green IT into IS/IT strategic planning can enhance operational effectiveness while contributing to environmental sustainability. This study contributes by extending the Ward and Peppard framework through the explicit incorporation of environmental sustainability as a strategic dimension, providing a practical and replicable model for higher education institutions pursuing sustainable digital transformation.
IoT-Based Smart Metering for Electricity and Water Monitoring and Billing in Boarding Houses Prasojo, Kholik; Ashari, Hilda
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.v23i2.11895

Abstract

This study aimed to develop and evaluate an Internet of Things (IoT)-based smart boarding house meter for monitoring and recording electricity and water consumption to support accurate billing. The system integrates hardware components (sensors and microcontroller) with an Android-based application to enable real-time monitoring and automated cost calculation. This research employed the research and development (R&D) method using a prototyping model consisting of requirements analysis, prototype development, system coding, and testing. System evaluation included hardware functionality testing using black-box testing, application testing using structured test cases, and effectiveness testing by comparing sensor readings with standard measurement instruments. Data were analyzed using a descriptive quantitative approach based on percentage calculations. The results showed that both the hardware and application functions achieved a 100% success rate according to the functional testing criteria. The effectiveness test indicated an average sensor accuracy of 95%, demonstrating reliable system performance. The novelty of this study lies in the integration of electricity and water monitoring into a single IoT-based system with automated billing and remote control features. The developed system is feasible for implementation and can improve efficiency, transparency, and accuracy in boarding house utility management.
Smart IoT Relay Monitoring Box for Real-Time Monitoring and Control of Electrical Energy Consumption Muslihi, Muhammad Takdir; Syafie, Lukman; Alghamdi, Mona Ahmad; Puteri, Annisa Nurul; Achmad, Andita Dani
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.v23i2.11899

Abstract

Background: The rapid increase in electricity consumption, particularly the 23.36% rise in Indonesia from 2019 to 2023, highlights the need for more efficient energy management systems. Limited user awareness and the lack of integrated monitoring and control solutions often lead to energy waste. Objective: This study aimed to design and evaluate an Internet of Things (IoT)-based smart relay system for real-time monitoring and remote control of electrical energy consumption. Methods: This study employed an experimental-based system development approach to create a portable prototype. The system integrated an ESP8266 microcontroller, a PZEM-004T sensor, a relay module, and a 16×2 LCD, with data transmitted to a web-based platform for monitoring and control. The system was tested using five different electrical loads, and performance was evaluated by comparing sensor measurements with standard measurement instruments. Results: The system achieved high accuracy in voltage measurement with an average error of 0.58% and moderate accuracy in power measurement with 2.78%. However, current measurement showed a higher average error of 15.06%, indicating sensitivity to fluctuating load conditions. The system supports real-time monitoring and remote control with an average response time of approximately one second. Compared to previous studies, the system demonstrates comparable voltage performance but higher deviation in current measurement. Novelty: This study presents an integrated IoT-based system that combines real-time monitoring, remote control, and energy estimation within a compact and portable platform. The proposed system provides a practical solution to enhance user awareness and enable more efficient energy management, extending beyond conventional monitoring-only systems.

Page 21 of 22 | Total Record : 213

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