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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING SEMINAR NASIONAL CENDEKIAWAN Prosiding Seminar Nasional Pakar MITRA: Jurnal Pemberdayaan Masyarakat RJOCS (Riau Journal of Computer Science) Metris: Jurnal Sains dan Teknologi LATAR, Jurnal Arsitektur Journal Of Chemical Process Engineering Proceeding Maritime Business Management Conference
Ronald Sukwadi
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Public Health Social Sciences

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Journal : RJOCS (Riau Journal of Computer Science)

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IMPLEMENTATION OF HUE SATURATION INTENSITY (HSI) COLOR SPACE TRANSFORMATION ALGORITHM WITH RED, GREEN, BLUE (RGB) COLOR BRIGHTNESS IN ASSESSING TOMATO FRUIT MATURITY Yanto`, Budi; Maria Angela Kartawidjaja; Ronald Sukwadi; Marsellinus Bachtiar
RJOCS (Riau Journal of Computer Science) Vol. 9 No. 2 (2023): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v9i2.2428

Abstract

Tomatoes, as a type of vegetable or fruit, are often susceptible to damage, making handling them a complex challenge. Distinguishing between fresh and damaged tomatoes is very important, considering the significant impact on nutritional value and economic aspects. Traditional approaches via visual inspection have proven to be less efficient and inconsistent in their detection accuracy. To overcome this challenge, the use of images is a vital solution for distinguishing ripe, half-ripe and unripe tomatoes. In this context, HSI (Hue, Saturation, Intensity) calculations are applied to measure RGB color and room transformations. Images are extracted in jpg format, saved as training data, and this method is implemented using the Python programming language and GUI interface design in MATLAB. The research results show the HSI value for each class, with the ripe tomato class having an average hue of 0.0051 – 0.026, saturation 0.1862 – 0.3291, and intensity 0.0975 – 0.7522. Half-ripe tomatoes have hue 0.0208 – 0.0848, saturation 0.1346 – 0.5746, and intensity 0.1056 – 0.4714, while immature tomatoes have hue 0.0174 – 0.0689, saturation 0.0474 – 0.2072, and intensity 0.0595 – 0.3203. The integration of the HSI algorithm steps with the RGB color space provides an additional dimension to color analysis, which has the potential to increase the accuracy of tomato ripeness detection.
Co-Authors Abraham Farouw Ratisan Aini, Apsari Puspita Arinta Novitasari Christine Natalia Enny Nurmalasari Enny Widawati Ferdian Suprata Handoko Cahyadi Indriati, Kumala Jane Stephanie M.M. Wahyuni Inderawati Maria Angela Kartawidjaja Maria Magdalena Wahyuni Inderawati Marsellinus Bachtiar Marsellinus Bachtiar W Mokh. Suef Muda, Yosef N. Tembu Po Tsang B. Huang Puji Rahayu Stanislaus S. Uyanto Yahya, Agung Kurnia Yanto`, Budi