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All Journal International Journal of Artificial Intelligence Research Jurnal Sisfokom (Sistem Informasi dan Komputer) Journal of Electronics Technology Exploration (JOeTEx)
Aditama, Kevin Muhammad Tegar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Performance of Single-Hop and Multi-Hop Topologies in IoT-Based Wireless Sensor Networks for Environmental Monitoring Sulistyawan, Vera Noviana; Muhsin, Muhsin; Hasanah, Uswatun; Suni, Alfa Faridh; Pamungkas, Damar Purba; Santoso, Rizal Budi; Aditama, Kevin Muhammad Tegar; Fauzi, Muhamad Kurniawan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 4 (2025): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i4.2408

Abstract

This study aims to evaluate the performance of an IoT-based Wireless Sensor Network (WSN) system in monitoring temperature and humidity in a modern poultry house. Testing was conducted across two network topologies — single-hop and multi-hop — to analyze data transmission delay and sensor measurement accuracy. The methodology includes measuring the delay from sensor nodes to the sink node and analyzing sensor accuracy by comparing actual temperature and humidity values with sensor readings. The results indicate that the single-hop topology has lower and more stable transmission delays, ranging from 18 ms to 36 ms. In contrast, the multi-hop topology exhibits higher transmission delays, averaging 47.9 ms, due to additional time spent traversing intermediary nodes. In terms of accuracy, the temperature sensor shows minimal deviation from actual values, demonstrating good reliability. However, the humidity sensor exhibits greater variation, necessitating additional calibration or the use of higher-precision sensors. The evaluation using MAPE, RMSE, MSE, and MAE provides further insights into sensor error levels within the system. The uniqueness of this study lies in the comparative analysis of single-hop and multi-hop network performance in a WSN-IoT-based monitoring system. The study's implications emphasize the importance of optimizing network protocols to reduce latency in multi-hop communication and improving sensor accuracy to enhance the reliability of environmental monitoring.
Agrivoltaics in Japan: A Review of Current Practices, Challenges, and Future Directions Aditama, Kevin Muhammad Tegar; Al Wafi, Ahmad Zein
Journal of Electronics Technology Exploration Vol. 3 No. 2 (2025): December 2025
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joetex.v3i2.642

Abstract

This review examines agrivoltaics in Japan integrating solar photovoltaic (PV) systems with agricultural production as a dual-use land strategy to address constrained arable land, decarbonization goals, and energy security. Using a thematic synthesis of published studies and documented Japanese cases, the paper maps current deployment practices, reported agronomic and energy outcomes, and the main constraints shaping adoption. The literature indicates that well-designed agrivoltaic configurations can maintain crop production while adding renewable electricity generation, with outcomes strongly influenced by site conditions, crop type, shading design, and farm management. Evidence also points to potential co-benefits such as reduced heat stress and improved microclimate stability, but trade-offs may emerge for light-sensitive crops or under suboptimal PV spacing and height. Key barriers in Japan include high upfront investment, complex permitting and compliance requirements, and concerns over land-use integrity and long-term agricultural continuity. Future research should prioritize longitudinal field data on crop yield and quality, soil and water dynamics, and ecosystem effects, alongside standardized performance metrics and policy/financing mechanisms that align farmer incentives with grid and climate objectives.
Performance of Deep Face Recognition Models under Adaptive Margin Loss: A Real-Time Evaluation Aditama, Kevin Muhammad Tegar; Nugroho, Anan; Subiyanto, Subiyanto; Pongoh, Arthur Gregorius
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1641

Abstract

Real-time face recognition systems encounter a critical trade-off between high-security demands and computational efficiency, particularly when deployed in unconstrained open-set environments. This study presents a comprehensive benchmarking of four distinct deep learning backbones ResNet100, GhostFaceNet, LAFS, and TransFace specifically trained using the Adaptive Margin Loss (AdaFace) function to handle image quality variations. The primary objective is to identify the optimal architecture for secure attendance systems operating on standard hardware with limited training data. The evaluation protocol employs a rigorous real-world open-set test to quantify performance using False Acceptance Rate (FAR) and False Rejection Rate (FRR). The experimental results demonstrate that ResNet100 establishes the highest security standard, achieving a 0.00% FAR at strict thresholds. Meanwhile, GhostFaceNet emerges as the most balanced solution for resource-constrained deployments, delivering competitive accuracy above 93% with significantly lower computational complexity. Conversely, the Vision Transformer (TransFace) fails to generalize in this low-data regime, resulting in unacceptable false acceptance rates. These findings definitively recommend GhostFaceNet for efficient edge-based implementations, while ResNet100 remains the superior choice for mission-critical security applications.
Co-Authors Al Wafi, Ahmad Zein Alfa Faridh Suni Fauzi, Muhamad Kurniawan Muhsin Muhsin Nugroho, Anan pamungkas, damar purba Pongoh, Arthur Gregorius Santoso, Rizal Budi Sulistyawan, Vera Noviana Uswatun Hasanah