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All Journal Journal Physical Education, Health and Recreation Bigint Computing Journal
Pratama, Muhammad Yudha
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Computer Science & IT Physics Public Health

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Detecting Papaya Fruit Ripeness Level Based on Color Features Using the HSI Color Space Transformation Method Zanah, Nia; Nst, Fadhilah Ramadhani; Pratama, Muhammad Yudha
Bigint Computing Journal Vol 1 No 2 (2023)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v1i2.781

Abstract

Papaya fruit is one of the kings of fruit in Indonesia. It is said to be the king of fruit because it is rich in benefits and has good nutritional and vitamin content. Grouping the maturity of papaya fruit is very important. The difficulty in clarifying the ripeness of papaya fruit is based on its color features, and the grouping of papaya fruit ripeness is divided into several categories, namely ripe, semi-ripe and unripe. This research aims to predict the level of ripeness of papaya fruit using the K-Nearest Neighbor method using features obtained from extraction results with RGb and HSI images. The system that has been created can classify papaya fruit images into raw, semi-ripe and ripe classes. Programming includes identifying needs, analyzing problems, selecting algorithms, and determining the data structure to be used. The aim of program design is to create a good and effective design before starting to implement the program. The first stage is to design the program using the GUI tool from the Matlab application. In the second stage, the source code must be entered so that the program can be run. Papaya fruit samples that were tested for ripeness were obtained from taking images using several smartphone cameras and at different times. Some were taken during the day, some at night. Table 4. Shows that all of the images of papaya fruit samples are in accordance with the application of papaya ripeness levels. With test results showing that test accuracy reaches a perfect level of 100%. This indicates that the testing system used is able to accurately detect the ripeness of papaya fruit. The use of the K-Nearst Neighbor (K-NN) method has been successfully carried out in this research.
PERFORMANCE ANALYSIS OF NATIONAL TABLE TENNIS ATHLETES: FACTORS AFFECTING ACHIEVEMENT Saragih, Devi Uliani Br; Priscilia, Anggie; Suwandira, Suwandira; Lubis, Ferdi Hasan; Pratama, Muhammad Yudha; Hafiz, Muhammad; Manalu, Nimrot; Padli, Zen
Journal Physical Education, Health and Recreation Vol. 11 No. 1 (2025): Oktober
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/pjkr.v11i1.69062

Abstract

The purpose of this study is to evaluate the performance of national table tennis players by exploring the primary factors that influence their success. Coach NPC Mohd is the focus of the research. Ja’far, a skilled athlete and coach committed to nurturing future table tennis talents in Medan, North Sumatra. This study utilized a descriptive qualitative method, gathering data through in-depth interviews, direct observation of training and competitions, and documentation of accomplishments. The results showed that athletic performance is significantly impacted by physical, technical, mental, tactical, and social support factors. Sports Hall Training Facilities.
Co-Authors Lubis, Ferdi Hasan Manalu, Nimrot Muhammad Hafiz Nst, Fadhilah Ramadhani Padli, Zen Priscilia, Anggie Saragih, Devi Uliani Br Suwandira, Suwandira Zanah, Nia