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All Journal Indonesian Journal of Electronics and Instrumentation Systems JPTK: Jurnal Pendidikan Teknologi dan Kejuruan JTERA (Jurnal Teknologi Rekayasa) Industrial Research Workshop and National Seminar
Trisno Yuwono Putro
Jurusan Teknik Elektro Politeknik Negeri Bandung Jl. Gegerkalong Hilir, Desa Ciwaruga Bandung 40012
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Journal : Indonesian Journal of Electronics and Instrumentation Systems

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Sistem Pendeteksi Viabilitas Benih Kacang Tanah Berdasarkan Luas Area HSV Color Haura Fikriyah Hakimah; Trisno Yuwono Putro; Sabar Pramono; Eny Widajati
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 11, No 2 (2021): Oktober
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.68731

Abstract

Peanut seed tetrazolium test evaluation is usually by eye and a microscope. This method has a weaknesses in the accuracy of reading the color intensity, and  is more subjective. The seeds was observed one by one so that the observation is not effective. To make observations more accurate, efficient, and effective, digital image processing can be applied to the seed viability evaluation. The method can be used was the detection of the Hue, Saturation, and Value color area in reading the red color pattern resulting from tetrazolium test.The result is the system can detect a maximum of 25  seeds with an operational time of 22-25 seconds in one detection. Seed classification is the seeds are predicted to normal, abnormal, and dead. The process of classifying seeds is identified based on the red color pattern resulting from the detection of the area of 4 HSV color ranges, namely red (175,100,20:180,255,255), pink (160, 100,20 : 174,150,255), white 1 (175,0,0 : 180,100,255), and white 2 (0,0,0 : 100,255,255). The results show that the accuracy of the system in reading the total number of seeds is 100% with the detection error of  HSV color area is 1.54%.
Co-Authors Amalia Nur Hikmah Edi Rakhman Eny Widajati Faisal Albaehaqi Haura Fikriyah Hakimah Muhamad Rezki Mauladi Muthiya Abdullah Nahdi Peni Handayani Peni Handayani Peni Handayani Rida Hudaya Ryan Dwi Setiawan Sabar Pramono Su Jo -Ching Tjan Swi Hong Yana Sudarsa YB Gunawan Sugiarta