Search for collections on EPrints Repository UNTIRTA

Design and Development of California Papaya Murability Detection Based on Learning Vector Quantization Method Using LDR Sensor and Camera

Alimuddin, Alimuddin and Masjudin, Masjudin and Wiryadinata, Romi and Ningrum,, Oktavia (2022) Design and Development of California Papaya Murability Detection Based on Learning Vector Quantization Method Using LDR Sensor and Camera. In: Design and Development of California Papaya Murability Detection Based on Learning Vector Quantization Method Using LDR Sensor and Camera, 04 November 2021, Serang Banten Indonesia.

[img] Text
Alimuddin Co Author Pros Intern California Papaya LDR sensor Camera Des 2022.pdf

Download (1MB)

Abstract

Sorting the ripeness of papaya fruit is generally done manually. Tech�nological developments can simplify and speed up the work of farmers in sorting papaya fruit, such as using the TCS3200 series LDR sensor, which produces red, green, and blue color frequency values. This sensor can distinguish ripe papaya fruit from different skin colors. Papaya with perfect green skin color is included in raw papaya, papaya with balanced green and yellow skin color means that papaya is mature, and papaya with even yellow skin color is included in ripe papaya. This category is also included in the class in the classification of papaya fruit maturity using the LVQ method. The data is taken directly using the camera by classifying it using the parameters of mean, skewness, and kurtosis. The results of the highest papaya ripeness classification accuracy are in the 2nd experiment with a learning rate value of 0.2 with hidden layer ten (10) and epoch 100, which is 93.3%, and the test results of the whole tool have an average success percentage value of 69.41%

Item Type: Conference or Workshop Item (Paper)
Contributors:
ContributionContributorsNIP/NIM
AuthorAlimuddin, Alimuddin197204172008121004
AuthorMasjudin, Masjudin198312312019031018
AuthorRomi, Wiryadinata19830703200912006
AuthorNingrum,, Oktavia Widia0
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro
Depositing User: Mr Alimuddin Alimuddin
Date Deposited: 25 Jan 2023 09:52
Last Modified: 25 Jan 2023 09:52
URI: http://eprints.untirta.ac.id/id/eprint/8328

Actions (login required)

View Item View Item