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All Journal Journal of Environmental Engineering and Sustainable Technology Register: Jurnal Ilmiah Teknologi Sistem Informasi ASEAN Journal of Community Engagement
Bihanda, Yusuf Gladiensyah
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Mechanical Engineering Public Health Social Sciences Other

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Color space and color channel selection on image segmentation of food images Maulana, Luthfi; Bihanda, Yusuf Gladiensyah; Sari, Yuita Arum
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 2 (2020): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i2.2061

Abstract

Image segmentation is a predefined process of image processing to determine a specific object. One of the problems in food recognition and food estimation is the lack of quality of the result of image segmentation. This paper presents a comparative study of different color space and color channel selection in image segmentation of food images. Based on previous research regarding image segmentation used in food leftover estimation, this paper proposed a different approach to selecting color space and color channel based on the score of Intersection Over Union (IOU) and Dice from the whole dataset. The color transformation is required, and five color spaces were used: CIELAB, HSV, YUV, YCbCr, and HLS. The result shows that A in LAB and H in HLS are better to produce segmentation than other color channels, with the Dice score of both is 5 (the highest score). It concludes that this color channel selection is applicable to be embedded in the Automatic Food Leftover Estimation (AFLE) algorithm.
NUTRITION ESTIMATION OF LEFTOVER USING IMPROVED FOOD IMAGE SEGMENTATION AND CONTOUR BASED CALCULATION ALGORITHM Adinugroho, Sigit; Sari, Yuita Arum; Maligan, Jaya Mahar; Sari, Kartika; Bihanda, Yusuf Gladiensyah; Nuraini, Nabila; Fatchurrahman, Danial
Journal of Environmental Engineering and Sustainable Technology Vol 9, No 01 (2022)
Publisher : Directorate of Research and Community Service (DRPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jeest.2022.009.01.5

Abstract

In pandemic conditions, awareness of keeping a healthy balance is necessary. One is considering food consumption and understanding its nutrition content to avert food waste. We have been developing a prototype to estimate the nutrition of leftover food, and the main problem lies in image segmentation. Therefore, we propose the Improved Food Image Segmentation (IFIS) and Contour Based Calculation (CBC) to measure the area of the segmented image instead of pixel-wise. First, the tray box image is acquired and broken down into compartments using an automated cropping algorithm. The first step of this proposed method is tray box image acquisition and dividing the compartment using an automatic cropping algorithm. Then each compartment is treated using IFIS, calculates the result of IFIS by CBC, measures the estimated leftover by Automatic Food Leftover Estimation (AFLE), and then predicts the nutritional content. The evaluation is applied by comparing the actual measurement from the Comstock method and leftover estimation by the proposed algorithm. The result shows that Root Square Means Error (RMSE) reaches 0.48 compared to the actual weighing scale and 96.67% accuracy compared to the Comstock method. Based on the results, the proposed algorithm is sufficient to be applied.
Establishing E-ProDesKel, an Integrated Village Information System for the Empowerment of the Local Community in Kediri Astuti, Ani Budi; Sumarminingsih, Eni; Mahmudy, Wayan Firdaus; Wulandari, Maulina Pia; Ngabu, Wigbertus; Sa'diyah, Nur Kamilah; Rotchildi, Gusti Ayu Putu Rawi; Kasanah, Izza Lailatul; Bihanda, Yusuf Gladiensyah; Nugraha, Akbar Satya
ASEAN Journal of Community Engagement Vol. 10, No. 1
Publisher : UI Scholars Hub

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Abstract

Digital transformation has become an important strategy for strengthening community empowerment by improving access to public information, governance transparency, and village services. However, many rural communities in Indonesia still face challenges in managing accurate village profile data and utilizing digital technologies to support good governance and sustainable development. This study examines a community engagement program in Purwokerto Village, Kediri Regency, Indonesia. The program intended to develop and implement E-ProDesKel (Elektronik Profil Desa Kelurahan or Electronic Village and Wards Profile), a web-based portal for an integrated village profile information system. The program adopted a participatory approach starting from an assessment conducted together with the community to identify their needs, profiling and structuring of residents’ data, website development, production of a village profile video, and capacity building through mentoring and workshops for village officials and community members. The program successfully established an integrated village information system comprising eight main service menus, developed a village profile video, and enhanced community access to digital village information and public services. Evaluation of the program was conducted by involving 75 respondents, indicating a high level of community acceptance of the program, the products, and the benefits, along with feedback for improvements. Through the participation process, this program created a successful integration of an accurate village profile management, digital public information services, community capacity building, and collaborative mentoring as a novel community empowerment framework and institutional strengthening. Such a framework can be adapted by other villages pursuing digital transformation toward good governance and village sustainability.
Co-Authors Ani Budi Astuti Eni Sumarminingsih Fatchurrahman, Danial Jaya Mahar Maligan Jayawarsa, A.A. Ketut Kasanah, Izza Lailatul Luthfi Maulana, Luthfi Maulina Pia Wulandari Nugraha, Akbar Satya Nuraini, Nabila Rotchildi, Gusti Ayu Putu Rawi Sa'diyah, Nur Kamilah Sigit Adinugroho Wayan Firdaus Mahmudy Wigbertus Ngabu Yuita Arum Sari