1. Classification of salt quality using weighted K-nearest neighbor method (WKNN).
- Author
-
Rochman, Eka Mala Sari, Rachmad, Aeri, Setiawan, Wahyudi, Hardi, Shofia, and Husni
- Subjects
K-nearest neighbor classification ,QUALITY standards ,RESEARCH evaluation ,SALT ,RESEARCH methodology - Abstract
Salt is widely used for various sectors ranging from consumption to industry. The salt produced on the island of Madura meets consumption quality standards, but does not yet meet industry quality standards. This is because of the quality of the salt produced by PT. garam (Persero) is determined using conventional methods, using observations of elements in the salt content which will take a lot of time and is less efficient. This research was conducted to determine which salt has the best quality for consumption commodities from the results of the classification that has been carried out. The method in this research uses Weighted k-Nearest Neighbor. WKNN will be used to classify the quality of salt into 4 types of quality, namely K1, K2, K3, K4 and based on 7 characteristics of salt content, and there are several trials that will be carried out in research using 350 salt data in June 2022 and their contents. Of the 350 data, 75 data are data from class K1, 107 data from class K2, 111 data from class K3, and 57 data from class K4. Based on the research and evaluation results, the WKNN method was able to provide the best results and obtained an accuracy of 85.7% with a value of k=9. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF