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Application of Autonomous Solar Energy-Powered Fishing Small Boat to Support Fisheries Food Security in Underserved Villages ff Demak Regency Adenanthera Lesmana Dewa; Erika Saraswati; Malikus Sumadyo; Purwanto Purwanto; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Mohd Fauzi Sedon; Fazilat Kodirova
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1822

Abstract

Fisheries-based food security in underserved coastal villages remains vulnerable due to limitations in fishing capacity, rising fuel costs, environmental degradation, and restricted access to modern fishing technologies. These challenges significantly affect the productivity and income of small-scale fishers, ultimately influencing the availability and affordability of fish as a primary source of protein for coastal communities. In many coastal areas of Indonesia, particularly in underserved villages, conventional fishing activities continue to rely heavily on fossil-fuel-powered boats, resulting in high operational expenses and increased greenhouse gas emissions. Consequently, there is a growing need for innovative and sustainable technological solutions that can improve fisheries productivity while supporting environmental conservation and community welfare. This study presents the design, development, and application of an autonomous, solar-powered small fishing boat aimed at enhancing sustainable fisheries production in underserved villages in Demak Regency, Indonesia. The proposed system integrates renewable energy harvesting through photovoltaic panels, autonomous navigation technology, fish location sensing, and intelligent route optimization to reduce dependence on fossil fuels while increasing operational efficiency and fishing effectiveness. A mixed-method approach was employed, combining engineering design, prototype development, laboratory validation, field deployment, and pilot testing involving local fishers. Stakeholder feedback was also collected to evaluate usability, acceptance, and potential socioeconomic impacts. The results indicate that the solar-powered autonomous fishing boat reduces operational fuel costs by approximately 95%, increases fishing efficiency by 42%, and decreases greenhouse gas emissions by an estimated 1.8 tonnes of CO? per vessel annually. Furthermore, the system demonstrates reliable navigation performance and contributes to safer fishing operations by reducing human workload and optimizing fishing routes. The adoption of this technology has the potential to increase fisher income, strengthen local food security, and support sustainable fisheries management. This innovation aligns with national strategies for renewable energy utilization, blue economy development, and rural economic empowerment, offering a scalable and environmentally friendly solution for coastal regions facing similar socioeconomic and ecological challenges.
Enhancing the Income of Mie Lidi Microenterprises in the Underdeveloped Village of Banjarsari, Demak Regency Through the Implementation of Solar-Powered Portable Automatic IoT Blower Technology Sunu Arsy Pratomo; Purwanto Purwanto; Fatchur Roehman; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Zulfiya Khabirova
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1840

Abstract

This study investigates the integration of solar energy technologies to improve operational efficiency, reduce production costs, and enhance income generation among micro and small enterprises in rural Indonesia. The research focuses on the mie lidi processing sector in Banjarsari Village, Demak Regency, where traditional drying practices remain highly dependent on weather conditions, resulting in inconsistent production quality and limited productivity. To address these challenges, the study introduces a solar-powered Portable Automatic Internet of Things (IoT) Blower designed to automate and optimize the drying process while utilizing renewable energy as the primary power source. The proposed system incorporates two 550-watt monocrystalline solar panels integrated with IoT-based monitoring and automated airflow control mechanisms. Performance evaluation demonstrates that the solar energy system generates an average of 6.69 kilowatt-hours (kWh) of electricity per day, equivalent to approximately 187.2 kWh per month. Meanwhile, the blower requires only 0.864 kWh of energy per day, representing 12.9% of total energy production, thereby creating a substantial energy surplus that supports long-term operational sustainability. The implementation of the system produces estimated monthly electricity cost savings of IDR 270,447.24, significantly reducing operational expenditures for local enterprises. Beyond economic benefits, the automated drying technology enhances production consistency by eliminating dependence on fluctuating weather conditions and reducing processing delays. The integration of renewable energy and smart automation also contributes to environmental sustainability through lower carbon emissions and reduced reliance on fossil-fuel-based electricity. The findings indicate that solar-integrated IoT drying systems offer a practical, scalable, and environmentally friendly solution for strengthening rural entrepreneurship, increasing productivity, and supporting sustainable economic development. Furthermore, the proposed model provides a replicable framework that can be adopted by other rural communities with similar climatic and socio-economic conditions to promote energy independence and resilient local industries