Open AccessAnalisa Data Mining Pengembalian Pupuk Kadaluarsa Dari CV YOLAND ke Distributor Induk Menggunakan Algoritma Dynamicsome
Author(s) -
Adelia Garvani Sianturi
Publication year - 2022
Publication title -
bulletin of electrical and electronics engineering
Language(s) - English
Resource type - Journals
ISSN - 2722-6522
DOI - 10.47065/bees.v2i3.1132
Subject(s) - data mining , distributor , cluster analysis , software , computer science , process (computing) , association rule learning , engineering , artificial intelligence , mechanical engineering , programming language , operating system
The purpose of this study is to analyze the data mining of expired fertilizer returns from CV.YOLAND to the parent distributor using a dynamicsome algorithm which is expected to produce a more accurate output so that it will speed up the calculation process. The implementation of the dynamicsome algorithm uses methods from data mining which refer to Classification, Clustering, Association, Sequencing, Regression, Forecasting, Other Techniques and testing using the Tanagra software method. The analysis was carried out on an ongoing business process, then the results of the analysis were outlined in the Tanagra software which showed that it could accelerate the process of forming the trend of itemset combination patterns resulting from CV company data. Yoland, with the highest support and confidence is 0.25%. The application of the Dynamicsome Algorithm in data mining techniques is very efficient and can accelerate the process of forming the trend of itemset combination patterns.