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All Journal Jurnal Psikologi Control Systems and Optimization Letters
Ahmed, Faisal
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Social Sciences

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Enhancing Solar Cell Performance: The Impact of Microstructure in Nanostructured Perovskites Kumar, Swarup; Neidhe, Md Musfiqur Rahman; Ahmed, Faisal; Hasan, Md Mehedi
Control Systems and Optimization Letters Vol 3, No 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i1.136

Abstract

A revolutionary development in solar cell technology, nanostructured perovskites have the potential to greatly improve stability and power conversion efficiency (PCE). The contribution of microstructure, including defect passivation, surface morphology, crystallinity, and grain size, to perovskite solar cell (PSC) performance optimization is evaluated in this paper. Through nanoscale optimization of these microstructural characteristics, scientists may enhance light absorption, minimize recombination losses, and optimize charge transfer, all of which contribute to increased efficiency. More versatility in bandgap engineering for a range of applications is made possible by the distinct optoelectronic properties of perovskites in conjunction with the benefits of nanostructuring. The endurance of nanostructured perovskites under environmental pressures and the scalability of production techniques are two issues that persist despite these developments. It is essential to overcome these obstacles in order to commercialize PSCs. Potential future developments for lead-free perovskite substitutes and the incorporation of nanostructured materials into hybrid solar systems are also examined in this study. Key results, ramifications, and opportunities for future advancements in nanostructured perovskites for solar energy technology are highlighted in this study, which summarizes the present status of research in this area. The review process aims to summarize current developments in the area and pinpoint the crucial problems that need to be resolved for wider acceptance.
AI-Driven Microgrid Solutions for Enhancing Energy Access and Reliability in Rural and Remote Areas: A Comprehensive Review Ahmed, Faisal; Uzzaman, Asif; Adam, Md Ibrahim; Islam, Monirul; Rahman, Md Moklesur; Islam, Asm Mohaimenul
Control Systems and Optimization Letters Vol 3, No 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i1.183

Abstract

As localized energy systems, microgrids provide a viable way to solve problems with energy dependability and access in rural and isolated locations. These regions often have inadequate and unstable grid infrastructure, which restricts their access to energy. Artificial Intelligence (AI) improves the overall performance, flexibility, and efficiency of microgrid systems. AI ensures a steady and dependable power supply by enabling predictive maintenance, optimal load forecasting, energy storage management, and renewable energy resource optimization. AI may help microgrids anticipate system faults, better control energy consumption, and prolong the life of vital parts. Additionally, AI ensures the sustainability of microgrids in resource-constrained places by optimizing the usage of renewable energy sources like solar and wind. Successful case studies from places like the US, India, and Africa have shown the promise of AI-enhanced microgrids in raising the standard of living for marginalized areas, despite obstacles like data infrastructure and upfront installation costs. Microgrids have a bright future thanks to developments in artificial intelligence (AI), which might increase electricity availability and promote economic growth in rural and isolated regions of the world.
Health knowledge, DHF risk, clean and healthy living behavior: A social psychology study in a highland community Cerlyawati, Hugi; Indrawati, Endang Sri; Prasetyo, Anggun Resdasari; Ahmed, Faisal
Jurnal Psikologi Vol 24, No 2 (2025): Oktober 2025
Publisher : Faculty of Psychology, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jp.24.2.221-233

Abstract

Background: Dengue Hemorrhagic Fever (DHF) is closely linked to environmental conditions and human behavior. In highland areas, geography, knowledge, and community values influence clean and healthy living practices. However, actual behavior in the field does not always match the level of understanding.Purpose: To analyze the effect of knowledge and DHF risk on healthy house conditions as a representation of healthy living behavior in a highland village community.Method: An observational analytical study with a cross-sectional design involving 335 respondents selected through simple random sampling. Data were collected using questionnaires and analyzed using Structural Equation Modeling-Partial Least Square (SEM-PLS).Findings: Although 86.6% of respondents had good knowledge about healthy houses, only 52.5% lived in healthy house conditions. Knowledge significantly influenced healthy house conditions directly (t=3.214) and indirectly through DHF risk (t=2.771). DHF risk also had a significant effect (t=2.260). Demographic factors (education, occupation, gender) showed no significant influence. Field observations indicated generally good waste management, though gaps remained between knowledge and practice.Implication: Community knowledge is essential but insufficient alone. Community-based interventions and empowerment initiatives are needed to strengthen sustainable healthy living behaviors and support DHF prevention
Co-Authors Adam, Md Ibrahim Anggun Resdasari Prasetyo Cerlyawati, Hugi Endang Sri Indrawati Hasan, Md Mehedi Islam, Asm Mohaimenul Islam, Monirul Kumar, Swarup Neidhe, Md Musfiqur Rahman Rahman, Md Moklesur Uzzaman, Asif