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All Journal Majalah Ilmiah Teknologi Elektro JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali)
Achmad Nur Aliansyah
Universitas Halu Oleo
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Social Sciences

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Design of Virtual Laboratory from sorting machine by color combination using PLC Mitsubishi Achmad Nur Aliansyah; Nita Zelfia Dinianti Luzi Mulyawati
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 9 No. 2 (2024): Jurnal Fokus Elektroda Vol 9 No 2 2024
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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Abstract

The aim of this research is to design a sorting machine based on color classification in virtual laboratory. Factory I/O software was used to model the process of sorting machine. The main controller in this research was used Mitsubishi FX3U which programmed by GX Works 2 and use ladder diagram programming language. The communication path was used MX OPC Server. Because the process carried out is virtual, the most important thing in carrying out testing is to ensure that all the software used is in simulation conditions. The testing process was carried out by running the item sorting system for 15 minutes with a random order of objects test. From the results show, the system created was able to work well in recognizing the color of the object. Vision sensor was used to recognize the color object. The accuracy level of Vision sensor 1 to detecting green objects is 97.3%, the accuracy level of vision sensor 2 to detecting blue objects is 95.6%. Meanwhile, gray test objects are processed when vision sensor 1 and vision sensor 2 are not active. The percentage of success in sorting gray objects was 89.7%. For future development, it can be equipped with an interface to be able to know exactly the number of items being sorted and also make it easier to convey information from the item sorting process.
Co-Authors Abdul Djohar Agustan Agustan Aksar, Prinob Ali Akbar Anshari Nur, Muh. Nadzirin Asminar Asminar Edward Ngii Feliks Eldad Larobu Gamal Abdel Nasser Masikki Gamal Abdel Nasser Massiki Hamzah Eteruddin Hari Putra Hari Indrayati Galugu Jaelaludin Jaelaludin Jaelaludin, Jaelaludin Jaya, St. Nawal Luzi Mulyawati Monice Nita Z.D.L. Mulyawati Nita Zelfia Dinianti Luzi Mulyawati Nurhayati Nurhayati Pagiling, luther Sahabuddin Hay, Sahabuddin Samuel Jie St Nawal Jaya Sudarsono Sudarsono Surya Aditya Wa Ode Siti Nur Alam Wa Ode Siti Nur Alam