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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of Electronics Technology Exploration (JOeTEx)
Al Wafi, Ahmad Zein
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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A Comparative Study of Modern Activation Functions on Multi-Label CNNs to Predict Genres Based on Movie Posters Al Wafi, Ahmad Zein; Nugroho, Anan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 3 (2024): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i3.29540

Abstract

Categorization of images based on their visuals into various genres has a crucial role in the recommendation system. However, multilabel classification poses significant challenges due to the complexity of assigning multiple labels to each instance. This study contributes to the understanding of how activation functions influence the efficiency and accuracy of multilabel CNNs and provides practical insights for selecting appropriate functions in movie poster classification tasks. This investigation focused on identifying the activation function that provided the fastest convergence, highest accuracy, and lowest computational cost or training time. The results show that the Leaky ReLU activation function achieved the fastest convergence and highest training accuracy with an top accuracy of 99.7% and GELU demonstrated the highest validation accuracy at 91.5% across the training iteration. Softplus showed convergence characteristics at epoch 14 while other in 30. The computational cost analysis revealed that ReLU was computationally efficient with training time of 1896 seconds. Overall, the Leaky ReLU activation function is identified as the most effective for multilabel CNNs, balancing convergence speed, accuracy, and computational cost.
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.
Co-Authors Aditama, Kevin Muhammad Tegar Nugroho, Anan