Forecasting the Number of Offset Printing Machine Breakdowns Using the Support Vector Machine (SVM) Metdhod Peramalan Jumlah Breakdown Mesin Printing Offset Menggunakan Metode Support Vector Machine (SVM)
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Published:
Jul 14, 2021
Keywords:
forecasting, damage, break down, Support Vector Machine (SVM), peramalan, kerusakan
Main Article Content
Abstract
PT. MJT is a company engaged in manufacturing that produces various types of plastic tubes for cosmetic packaging. Production activities at PT. MJT uses an intermittent process, which in the printing division requires a longer total setup time because this process produces various types of specifications of goods to order. This has an effect on the amount of engine breakdown. The purpose of this research is to try the method of forecasting the number of breakdowns for offset printing machines at PT. MJT. One of the methods used in this research is the Support Vector Machine method. Support Vector Machine is a method that can help predict the number of breakdowns that will be experienced by the offset printing machine at PT. MJT. Support vector machine is a method that can reduce the error value in forecasting compared to other methods. From this research, it is hoped that it can produce a forecast of the number of breakdowns for offset printing machines at PT. MJT for a period of one year or twelve periods.
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How to Cite
[1]
N. Khumaidah and T. Sukmono, “Forecasting the Number of Offset Printing Machine Breakdowns Using the Support Vector Machine (SVM) Metdhod”, PELS, vol. 1, no. 2, Jul. 2021.
Section
Industrial Engineering
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[5] Sugiyono, (2017). Metode Penelitian Kuantitatif, Kualitati dan R&D. Bandung.
[6] Krisandi, dkk. (2013). Algoritma K-Nearest Neighbor dalam Klasifikasi Data Hasil Produksi Kelapa Sawit pada PT. Minamas Kecamatan Paridu. Bulletin Ilmiah Math. Stat. dan Terapannya (Bimaster).
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