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IJMERR 2025 Vol.14(1):67-77
doi: 10.18178/ijmerr.14.1.67-77

Applied Bengawan Unmanned Vehicle (UV) Stationary-Dynamic Pond Monitoring System: Collaboration with Fish Cultivation Center

Aria Pranata 1,2, Muh Linggar Adi Wardhana 1,2, Fahri Setyo Utomo 2, Wahid Nur Ihsanudin 1,2, Aditya Rio Prabowo 1,*, Indri Yaningsih 1, Seung Jun Baek 3, Ristiyanto Adiputra 4, Bo Cao 5, Fajar Budi Laksono 1,6, Singgih Dwi Prasetyo 1,7,*, Wibowo Wibowo 1, Didik Djoko Susilo 1, and Ubaidillah Ubaidillah 1
1. Department of Mechanical Engineering, Universitas Sebelas Maret, Surakarta, Indonesia
2. Department of Research and Development, P.T. Dimonitor Indonesia Sejahtera, Surakarta, Indonesia
3. Korea Marine Equipment Research Institute, Busan, South Korea
4. Research Center for Hydrodynamics Technology, National Research and Innovation Agency (BRIN), Surabaya, Indonesia
5. China Shipbuilding Industry Corporation Economic Research Center, Beijing, China
6. Department of Research and Development, P.T. DTECH Inovasi Indonesia, Salatiga, Indonesia
7. Power Plant Engineering Technology, Faculty of Vocational Studies, State University of Malang, Malang, Indonesia
Email: ariapranata25@student.uns.ac.id (A.P.); linggarwardhana@student.uns.ac.id (M.L.A.W.); fhrsty_12@student.uns.ac.id (F.S.U.); wahidnur20@student.uns.ac.id (W.N.I.); aditya@ft.uns.ac.id (A.R.P.); indriyaningsih@staff.uns.ac.id (I.Y.); sjbaek@komeri.re.kr (S.J.B.); ristiyanto.adiputra@brin.go.id (R.A.); csicccb@163.com (B.C.); fajar@dtech-engineering.com (F.B.L.); singgih.prasetyo.fv@um.ac.id (S.D.P.); wibowo69@staff.uns.ac.id (W.W.); djoksus@staff.uns.ac.id (D.D.S.); ubaidillah_ft@staff.uns.ac.id (U.U.)
*Corresponding author

Manuscript received August 29, 2024; revised October 9, 2024; accepted November 25, 2024; published February 10, 2025

Abstract—Central Java’s fish farming industry faces significant losses due to bird pests, estimated at up to 30% annually. Arlink v1 was developed to address this, a solar-powered device utilizing Photovoltaic (PV) technology and the You Only Look Once (YOLO) object detection algorithm to monitor and repel pests, ensuring sustainable, continuous operation and enhancing productivity. Concurrently, the Bengawan Unmanned Vehicle Team, in collaboration with Universitas Sebelas Maret’s Community Partnership Program, developed the Mandakini EVO ship to improve aquaculture management. This ship has enhanced sensors and pest-repellent systems to ensure precise navigation and effective pest control. The research methodology incorporated experimental and simulation methods, using experimental methods to test navigation and sensor systems and stability assessment software for hull and propulsion analysis. The system demonstrated effective pest deterrence capabilities, maintaining optimal water conditions and protecting fish from bird pests. These findings highlight the efficacy of combining renewable energy with advanced technology to provide comprehensive, cost-effective solutions for enhancing the productivity and sustainability of Central Java’s fish farming industry.

Keywords—Mandakini EVO, Arlink v1, dynamic and stationary pond monitoring, fish cultivation center, automated sensor

Cite: Aria Pranata, Muh Linggar Adi Wardhana, Fahri Setyo Utomo, Wahid Nur Ihsanudin, Aditya Rio Prabowo, Indri Yaningsih, Seung Jun Baek, Ristiyanto Adiputra, Bo Cao, Fajar Budi Laksono, Singgih Dwi Prasetyo, Wibowo Wibowo, Didik Djoko Susilo,and Ubaidillah Ubaidillah, "Applied Bengawan Unmanned Vehicle (UV) Stationary-Dynamic Pond Monitoring System: Collaboration with Fish Cultivation Center," International Journal of Mechanical Engineering and Robotics Research, Vol. 14, No. 1, pp. 67-77, 2025. doi: 10.18178/ijmerr.14.1.67-77

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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