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All Journal e-CliniC Diponegoro Journal of Accounting Legal Opinion BAHAS Bulletin of Data Science Jurnal Ilmiah Teknik Informatika dan Komunikasi Asas wa Tandhim: Jurnal Hukum, Pendidikan, dan Sosial Keagamaan Jurnal Al-Wasith : Jurnal Studi Hukum Islam Jurnal Sadewa: Publikasi Ilmu Pendidikan, Pembelajaran dan Ilmu Sosial VCode Venus: Jurnal Publikasi Rumpun Ilmu Teknik Rahmad Jurnal Studi Islam dan Ilmu Al-Quran
Irwan Syah
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Journal : Bulletin of Data Science

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Penerapan Metode C4.5 Untuk Memprediksi Permintaan Bahan Baku Syah, Irwan
Bulletin of Data Science Vol 3 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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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.
Co-Authors Alamsyah Alamsyah Alif Kautsar Apriliano Chandra Diva Didik Aribowo Dilinar Adlin Adlin Freddt Wagey Hasan, Muhammad Inamul Ilham Akbar Darmawan Maria Loho Miswardi Miswardi, Miswardi Muhammad Luthfi Muhammad Reza Nugraha Muhammad Taufiq Mustofa Abi Hamid SATRIYAS ILYAS Silfia Hanani Siti Annisa Nindia Larasati Yusnizar Heniwaty