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All Journal Resona : Jurnal Ilmiah Pengabdian Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control AL-JAZARI JURNAL ILMIAH TEKNIK MESIN Jurnal Pengabdian Masyarakat Charitas Metris: Jurnal Sains dan Teknologi Cylinder : Jurnal Ilmiah Teknik Mesin
Wahju, Marsellinus Bachtiar
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Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Journal : Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control

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Design and Performance of Solar-Powered Surveillance Robot for Agriculture Application Dewi, Tresna; Sukwadi, Ronald; Wahju, Marsellinus Bachtiar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1722

Abstract

Agriculture can benefit from robotics technology to overcome the drawback of limited human labor working in this sector. One of the robot applications in agriculture is a surveillance robot to monitor the condition. This paper describes a surveillance robot that is powered by a capacitor bank charged by a mini solar panel. The solar-powered robot is well-suited for deployment in open agricultural areas in Indonesia, where the irradiance is high. This potential is excellent for generating electricity and charging electric vehicles, such as those used in agriculture. The surveillance robot developed and tested in this study has been successfully deployed in an agriculture-like setting with all-terrain contours and the capacity to avoid obstacles. During high irradiance sunny weather, the shortest charging time was 2 hours. Hence, the proposed technology is effective for designing a surveillance robot for agricultural applications.
Neural Network-Based Image Processing for Tomato Harvesting Robot Oktarina, Yurni; Sukwadi, Ronald; Wahju, Marsellinus Bachtiar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1723

Abstract

Agriculture is one of the areas that can benefit from robotics technology, as it faces issues such as a shortage of human labor and access to less arid terrain. Harvesting is an important step in agriculture since workers are required to work around the clock. The red ripe tomatoes should go to the nearest market, while the greenest should go to the farthest market. Harvesting robots can benefit from Neural Network-based image processing to ensure robust detection. The vision system should assist the mobility system in moving precisely and at the appropriate speed. The design and implementation of a harvesting robot are described in this study. The efficiency of the proposed strategy is tested by picking red-ripened tomatoes while leaving the yellowish ones out of the experimental test bed. The experiment results demonstrate that the effectiveness of the proposed method in harvesting the right tomatoes is 80%.
Co-Authors Adrian, Bryan Archi Kun Cahyo Utomo Bachri, Karel Octavianus Bachtiar , Marsellinus Enny Widawati Hadi Sutanto Hotma Antoni Hutahaean Kartadinata, Budi Kartawidjaya, Maria Angela Lukas Lukas Novi Misgi Prabowo Adi Prakosa, Taji Harya Putera, Michael Deni Perdana Ronald Sukwadi Siagian, Vebryna Shaputri Silalahi, Agustinus Sugioko, Andre Tresna Dewi Trifenaus Prabu Hidayat Wijaya, Dikky Kusuma YANTO YANTO Yurni Oktarina