IMPLEMENTASI METODE TREND MOMENT UNTUK PREDIKSI DATA PENJUALAN SPAREPART SEPEDA MOTOR

dc.contributor.authorPrasetia, Andre
dc.date.accessioned2023-08-22
dc.date.available2023-08-22
dc.date.issued2020
dc.identifier.uri http://jurnal.unprimdn.ac.id/index.php/JUSIKOM/article/view/2354
dc.description.abstract Angga Motor is a workshop business located in the city of Medan and is engaged in the business of selling motorcycle spare parts and servicing motorbikes. In running its business, Angga Motor must pay attention to the planning and control of spare parts supplies purchased by customers. If the demand for motorcycle spare parts purchases increases, then a decision can be made to increase the stock of motorcycle spare parts so that customer demand is always fulfilled. If this is not managed properly, the spare parts supply system can become ineffective. Therefore, it is necessary to do research on the prediction of motorcycle spare parts sales using the Trend Moment method. Prediction is a way of looking for future values based on previously known values. The prediction results of motorcycle spare parts sales for the type of brake canvas for the January 2020 period using the Trend Moment method and is influenced by the season index, which tends to be stable or experiencing a positive trend where the result is 2 units, with a MAPE error value of 0.002365%. Meanwhile, the total MAPE error value predicted from January 2020 to December 2020 is 0.1440%. Keyword : Prediction, Sale, Motorcycle Sparepart, Trend Moment, MAPE en_US
dc.language.isoenen_US
dc.publisherUniversitas Harapan Medanen_US
dc.subjectMETODE TREND MOMENT en_US
dc.titleIMPLEMENTASI METODE TREND MOMENT UNTUK PREDIKSI DATA PENJUALAN SPAREPART SEPEDA MOTORen_US
dc.typeSkripsien_US


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