Bulletin of Data Science
Vol 3 No 2 (2024): February 2024

Penerapan Metode C4.5 Untuk Memprediksi Permintaan Bahan Baku

Syah, Irwan (Unknown)



Article Info

Publish Date
29 Feb 2024

Abstract

Predicting demand for raw materials is one of the important things that PT. Arma of Eternal Grace. However, there are still obstacles such as excessive accumulation of raw materials in each branch store. So we need to predict so that in the future when we enter moments such as Eid al-Fitr, New Year, Chinese New Year and Christmas we can handle them so that there is no accumulation of raw materials so as not to cause losses to the PT company. Arma of Eternal Grace. Therefore, calculations are needed when predicting raw materials that are more accurate and well controlled. The C4.5 algorithm method is a method used to predict demand for raw materials in branch stores to make it more efficient and controlled so that there are no shortages or excesses in each branch store. The result of this research is the application of data mining using the C4.5 algorithm method which can predict demand for raw materials with more accurate decisions in the future.

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Journal Info

Abbrev

bulletinds

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

Bulletin of Data Science journal publishes manuscripts within the fields of: 1. Soft Computing, 2. Experts System, 3. Decision Support System, 4. Cryptography, 5. Big Data, 6. Data Mining, 7. Artificial Inteligence, and ...