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Fazilat Kodirova
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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.
Integration of Agricultural Automation, and Sustainable Tourism Businesses to Strengthen the Green Economy, and Achieve Food Self-Sufficiency in Wonosalam Village Agus Sukoco; Achmad Muchayan; Fetty Asmaniati; Nuryadi Nuryadi; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Fazilat Kodirova
International Journal of Engineering, Science and Information Technology Vol 6, No 3 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i3.1826

Abstract

The transition toward a green economy requires rural communities to adopt innovative strategies that integrate sustainable agriculture, technological advancement, and tourism-based economic development. Wonosalam Village in Jombang Regency, Indonesia, possesses considerable potential to support this transformation due to its fertile agroforestry landscapes, abundant biodiversity, agricultural productivity, and rapidly growing eco-tourism sector. This study examines the synergistic integration of agricultural automation and sustainable tourism as a strategic approach to improving food self-sufficiency, increasing rural income, and strengthening the local green economy. The research employs a mixed-methods approach, combining field surveys, participatory rural appraisal, direct observation, and stakeholder interviews involving farmers, tourism operators, local government officials, and community leaders. In addition, pilot implementations of small-scale automation technologies were conducted in horticultural and livestock production systems to assess their operational effectiveness and socio-economic impact. The findings indicate that the adoption of smart farming technologies, including automated irrigation systems, precision nutrient delivery, environmental monitoring sensors, and solar-powered post-harvest processing facilities, significantly improves resource efficiency, productivity, and product quality while reducing production costs and environmental pressures. Furthermore, the integration of agricultural activities with tourism experiences creates diversified income opportunities through farm-based recreation, agrotourism attractions, local product marketing, and educational programs focused on sustainable farming practices. The model also supports the principles of a circular economy by utilizing agricultural by-products as resources for tourism activities, organic fertilizer production, and environmental conservation initiatives. Community participation and stakeholder collaboration were identified as key factors for successful implementation. Overall, the study demonstrates that the integration of agricultural automation and sustainable tourism can enhance rural economic resilience, promote environmental sustainability, and contribute to the development of secure and sustainable food systems. The proposed model offers a practical and replicable framework for other rural regions seeking to achieve green economic growth and long-term community prosperity
Autonomous Fish Feeding Integrated System for Food Self-Sufficiency and Aquatourism Development in Malang City Taufiqur Rokhman; Aeri Sujatmiko; Hj. Lis Setyowati; M Husen Hutagalung; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Zulfiya Khabirova; Fazilat Kodirova
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1832

Abstract

This article examines the integration of autonomous fish-feeding systems with salt production and fish processing technologies as an innovative strategy to enhance food self-sufficiency, strengthen rural economies, and promote aquatourism development in Malang Regency, Indonesia. The region possesses significant potential in aquaculture, fisheries, and coastal resource utilization; however, productivity remains constrained by inefficient feeding practices, limited technological adoption, outdated processing methods, and infrastructure disparities. These challenges reduce production efficiency, increase operational costs, and limit the competitiveness of local fishery products in broader markets. The study employs a qualitative and participatory approach based on stakeholder engagement, field observations, focus group discussions, and technological gap analyses involving fish farmers, salt producers, tourism operators, local governments, and community organizations. The research develops an integrated innovation model that combines autonomous fish-feeding systems, smart aquaculture management, sustainable salt production, and value-added fish processing technologies within a unified economic ecosystem. The proposed model is designed to improve production efficiency while creating new tourism attractions centered on fisheries, coastal culture, and environmental education. The findings indicate that the adoption of automated feeding technologies can significantly reduce feed waste, lower operational costs, improve fish growth performance, and enhance overall aquaculture productivity. In addition, integrating fish processing and salt production activities with aquatourism creates diversified income sources, increases employment opportunities, and supports local entrepreneurship. The model also contributes to environmental sustainability by promoting efficient resource utilization and reducing production-related waste. The study concludes that the integration of autonomous aquaculture technologies with fisheries-based tourism represents not only a technological advancement but also a strategic pathway for economic transformation in coastal and rural regions. Furthermore, the proposed framework offers a scalable and replicable model for achieving sustainable food systems, community resilience, and inclusive regional development in Indonesia and other developing countries.
Digitalization of Transportation 5.0 Through Robotic Fishery Frozen Supply for Enhancing Aquatic Food Distribution in Demak City Muhammad Ikhsan Setiawan; Agus Sukoco; Malikus Sumadyo; Elisa Sulistyorini; Adenanthera Lesmana Dewa; Che Zalina Zulkifli; Nafasov Mirzomurod Mukhamadovich; Fazilat Kodirova
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1827

Abstract

The transformation of fishery product distribution systems has become increasingly important in ensuring food security, supply chain efficiency, and economic resilience in coastal regions. As demand for high-quality aquatic food products continues to grow, conventional logistics systems often face challenges related to post-harvest losses, inefficient transportation, limited traceability, and inadequate cold chain management. This research investigates the application of Digitalization 5.0 in transportation logistics through an integrated Robotic Fishery Frozen Supply system to enhance the distribution of aquatic food products in Demak City, Indonesia. The proposed framework combines autonomous robotic loading and unloading technologies, Internet of Things (IoT)-based cold chain monitoring, real-time logistics management, and blockchain-enabled traceability to create a smart and sustainable fishery distribution ecosystem. The study employs a mixed-methods approach, integrating qualitative assessments through stakeholder interviews and focus group discussions with quantitative evaluations of logistics performance, distribution efficiency, cold chain stability, and operational cost-effectiveness. The findings demonstrate that the implementation of the Robotic Fishery Frozen Supply model significantly improves distribution performance by reducing post-harvest losses by 27%, shortening delivery times by 35%, and enhancing transparency and accountability throughout the supply chain. In addition, the system contributes to maintaining product quality, minimizing food waste, and improving market access for local fishery producers. The research further reveals that the Digitalization 5.0 framework supports sustainable development by integrating human-centered innovation, automation, and environmental responsibility. The proposed model aligns with the Sustainable Development Goals (SDGs), particularly Goal 2 (Zero Hunger), Goal 9 (Industry, Innovation and Infrastructure), and Goal 12 (Responsible Consumption and Production). The novelty of this study lies in the convergence of autonomous robotic technologies, Digitalization 5.0 principles, and sustainable fishery logistics, offering a scalable and replicable model for coastal regions in developing countries seeking to modernize aquatic food distribution systems while strengthening economic sustainability and food security
Co-Authors Adenanthera Lesmana Dewa Aeri Sujatmiko Agus Sukoco Che Zalina Zulkifli Elisa Sulistyorini Erika Saraswati Fetty Asmaniati Hj. Lis Setyowati M Husen Hutagalung Malikus Sumadyo Mohd Fauzi Sedon Muchayan, Achmad Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Nafasov Mirzomurod Mukhamadovich Nuryadi Nuryadi Purwanto Purwanto Taufiqur Rokhman Zulfiya Khabirova