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Journal : Proceeding International Conference on Information Technology and Business

Prediction of Coffee Bean Quality Using Segmentation Methods And K-Nearest Neighbor Agung Pradana; Suhendro Yusuf Irianto; Sri Karnila; Hendra Kurniawan
Prosiding International conference on Information Technology and Business (ICITB) 2021: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 7
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

The condition of people's coffee farming management is relatively poor when compared to large stateowned plantations. The main problem in smallholder plantations is the quality of the results that do not meet standardization. This study designs a system that is able to identify the quality of coffee beans using Segmentation, K-Nearest Neighbor and Gray Level Co-occurrence Matrix methods. Based on the test results using texture feature extraction, the highest accuracy was obtained at K-5 of 85%. It is possible that if the K value used is too small, there will be a lot of noise which reduces the level of accuracy in data classification, but if the K value is too large it can cause errors in the range of values taken, which will indirectly affect the level of accuracy. The results of the study were the identification of coffee beans with good quality or poor quality. It is hoped that this research can contribute to improving the quality of people's coffee so that it can increase the production of people's coffee that is able to compete in the market.Keywords—Gray Level Co-occurrence Matrix, K-Nearest Neighbor, Segmentation
Designing An Athlete Selection Application Using The Topsis Method Napitupulu, Erikson Josua; Arkhiansyah, Yuni; Karnila, Sri
Prosiding International conference on Information Technology and Business (ICITB) 2023: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 9
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Athletes are a profession that is of great interest to young people in various sports. Psychological factors that support success and the role of coaches in sports are very necessary for the success of talented athletes in their fields. Currently, coaches have certain training programs that aim to increase the athlete's agility, strength, and speed. This program is felt to be less effective because decision-making is done by considering the weighting of two categories, namely physical and psychological. The weight of the criteria obtained will assist coaches in maximizing the physical and psychological abilities of athletes in order to achieve the expected championship targets. For this reason, a plan was created to select talented athletes using the Topsis method (Technique for Others Reference by Similarity to Ideal Solution). This design is facilitated by an Android-based interface with simple logic, an easy-to-understand category calculation input process, and a mathematical model for determining the best athletes so that it can help coaches and be effective in selecting talented athletesKeywords: athletes, training programs, system design, criteria weights, TOPSIS