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All Journal Jurnal Sains Teknologi dan Sistem Informasi Journal of Data Mining and Information Systems
Napitupulu, Segar
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Computer Science & IT

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Journal : Journal of Data Mining and Information Systems

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Prediksi Data Produksi Menggunakan Regresi Linear Sederhana Napitupulu, Segar; Siagian, Novriadi Antonius
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1956

Abstract

PT. XYZ is a company engaged in the cold forging of automotive metal parts specialists. Companies must meet distribution needs and are required to make the right decisions in determining production strategies. To do this, companies need quite a lot of information sources to be analyzed further. Which, companies also face difficulties in obtaining strategic information such as sales levels per period or best-selling products. The analytical method uses simple linear regression in the prediction system because simple linear regression analysis can predict time series. The results of the analysis on the Collar 17x10.5x11 product were obtained from predictions from January to December 2020 with an error rate of 3.78%. The Nut AM M12x14x12 product obtained prediction results from January to December 2020 with a rate of 12.53%. The Collst product 23.6x16.3x3 obtained prediction results from January to December 2020 with a rate of 5.43%. For Nipple products from January to December 2020 with a rate of 12.14%
Co-Authors Ariwibowo, Suminar Chandra, Wenripin Jepronel Saragih Riche Riche Siagian, Novriadi Antonius