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All Journal PROSIDING SEMINAR NASIONAL Jurnal Keperawatan Jiwa (JKJ): Persatuan Perawat Nasional Indonesia TEKMAPRO Journal of Industrial Engineering and Management JAM : Jurnal Aplikasi Manajemen Al-Manhaj: Jurnal Hukum dan Pranata Sosial Islam Journal of Holistics and Health Sciences (JHHS) Journal of Applied Sciences, Management and Engineering Technology (JASMET) Jurnal Ilmu Hukum, Humaniora dan Politik (JIHHP) Jurnal Abdi Kesehatan dan Kedokteran Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Jurnal Pengabdian Perawat Jurnal Keperawatan Berbudaya Sehat Jurnal Rekayasan Lingkungan dan Biosistem
Tri Susilo
Universitas Suryadarma
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Journal : Jurnal Rekayasan Lingkungan dan Biosistem

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Sorting Cilembu Sweet Potatoes Based on Weight Using 2D Image Sutisna, Setya Permana; Siregar, Tika Hafzara; Susilo, Tri; Chairunnisa, Alfiani
Jurnal Rekayasa Lingkungan dan Biosistem Vol. 1 No. 1 (2023)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/relibi.v1i1.419

Abstract

Cilembu sweet potato is one of the superior products of Cilembu Village, Pamulihan District, Sumedang Regency, West Java Province. Sorting is an important part of post-harvest activities with the aim of separating crops according to certain weight group levels. Grouping based on weight can be done using 2-dimensional (2D) image processing methods. The purpose of this study was to classify Cilembu sweet potatoes based on weight groups using 2D image processing methods. This study uses a 2-dimensional image processing method as an intelligent system in selecting Cilembu sweet potatoes based on size using a sorting tool. The results of the test, the system built can classify Cilembu sweet potatoes by weight with an error value of 6.67%.
Weight Prediction of Cilembu Sweet Potato based on 2 Dimension Image Using Sorting Maching Siregar, Tika Hafzara; Sutisna, Setya Permana; Susilo, Tri; Mewavianti, Salsabila Safha
Jurnal Rekayasa Lingkungan dan Biosistem Vol. 1 No. 1 (2023)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/relibi.v1i1.422

Abstract

Cilembu sweet potato is an agricultural product that is in great demand by the community. One of the processes carried out after harvesting is determining the weight of the cassava. This weight measurement is done to classify Cilembu sweet potato according to weight so that the selling price of the product can also be adjusted. Sorting by weight can be done using image processing methods. This method is more accurate than other sorting methods. The purpose of this study was to separate Cilembu sweet potato products based on weight using image processing methods. This study uses 2-dimensional image processing to determine the weight of Cilembu sweet potato. The results of this Cilembu sweet potato sorting machine research obtained the value of the linear regression equation x = (y – 10476) / 153.05 and the value of R-squared (R²) = 0.759 . The results of heavy testing have an average error of 7.62%. The standard deviation of the presentation error is 5.61.
Co-Authors Abdul Wakhid ARIANTO, BASUKI Bhirawa, W T Chairunnisa, Alfiani Darmawan Darmawan Dhani, Rizky Fitri Anggraeni, Zahra Hendry Setyawan, Hendry Indra Komara, Indra Indramwan, Indramwan Larasanti, Ni Nyoman Diah MAKSUM Mewavianti, Salsabila Safha Mukhamad Mustain Musta'in, Mukhammad Muzayyin - Prasetyo, Adnanto Hendri Puspasari, Aisyah Dwi RR. Ella Evrita Hestiandari Setya Permana Sutisna Sinaga, Dimpo Sugiarto, Heri Tika Hafzara Siregar Ummu Muntamah