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All Journal Green Engineering: Journal of Engineering and Applied Science JIQSI : Jurnal Ilmu Al Qur'an dan Studi Islam
Mochammad Hasymi Somaida
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Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering

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Desain Sistem Informasi Penerimaan Siswa Baru Berbasis Web Dengan Google Site Terintegrasi Google Form di MA Ma’arif Cimanggu Kuswantoro; Mochammad Hasymi Somaida; Kosim
JIQSI : Jurnal Ilmu Al Qur'an dan Studi Islam Vol 1 No 2 (2023): Juli-Desember 2023
Publisher : STIQ Miftahul Huda Rawalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64341/jiqsi.v1i2.11

Abstract

A computer-based system for processing student data, especially when registering and admitting new students. The current ongoing service system is still semi-computerized and each service must be run manually in the office to provide information about the required PPDB services. Due to the existence of a new student admission system, the services of the Student Admissions Committee / New Master Maarif Chimangu are provided, so this is still necessary to find solutions that can replace manual methods with already computerized ones. It's an interesting discussion. This study uses data collection techniques such as observation, interviews, and literature review to analyze the waterfall methodology, namely requirements analysis and definition, system and software design, implementation and unit testing, integration and system testing, operational and Perform maintenance and unify the modeling language. UML uses a Google Sheets database to write programs using the PHPHypertext Preprocessor programming language to describe the flow of steps, system requirements, and test methods (black box testing) in the form of objects. UML as a tool that can. As a result of the research, it was found that a new information system for student recruitment could be introduced.
Integration of Renewable Energy Micro-grids with Smart Sensor Control to Reduce Carbon Footprint in Rural Industrial Zones Beny Riswanto; Mochammad Hasymi Somaida; Ridwan Zulkifli
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 1 (2024): January: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i1.240

Abstract

Renewable energy microgrids integrated with smart control systems are emerging as a sustainable solution for electrifying rural industrial zones, offering substantial improvements in energy efficiency and reductions in carbon emissions. This study explores the implementation of hybrid renewable energy systems, combining solar and wind energy, and the integration of Internet of Things (IoT) sensors to optimize energy consumption in real-time. The findings highlight that the combination of solar and wind energy in microgrids leads to up to a 30% increase in energy efficiency, with a significant reduction in CO₂ emissions, reaching up to 50% compared to traditional grid systems. IoT sensors play a crucial role in load forecasting, optimization, and system stability, enabling real-time monitoring and proactive adjustments to energy distribution. Additionally, the implementation of these systems in rural industrial zones not only provides reliable, clean energy but also reduces reliance on fossil fuels, making them economically viable and environmentally sustainable. However, challenges such as high initial investment costs, integration complexities, and the need for skilled technicians remain. Despite these barriers, the long-term benefits of reduced energy costs, improved energy security, and lower carbon footprints make renewable energy microgrids a promising solution. The study suggests that these systems can be scaled to other rural regions facing similar challenges in energy access and carbon emissions, offering a path to sustainable development. Further research is recommended to explore alternative renewable energy combinations and advancements in IoT applications to improve system scalability and efficiency.
Co-Authors Beny Riswanto Kosim Kuswantoro zulkifli, ridwan