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All Journal Kajian Bisnis STIE Widya Wiwaha
Samari Samari
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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FORCASTING DEMAND DENGAN METODE MULTIPLICATIVE DECOMPOSITION DAN TRACKING SIGNALS DI PT PERSADA NAWA KARTIKA Samari Samari; Rony Kurniawan; Sigit Ratnanto
Kajian Bisnis Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Vol 30 No 1 (2022): JURNAL KAJIAN BISNIS
Publisher : Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.169 KB) | DOI: 10.32477/jkb.v30i1.307

Abstract

This study chooses the right method to produce demand forecasts that have high accuracy so that it can be considered by PT Persada Nawa Kartika, Kertosomo, Nganjuk to develop future marketing plans. Researchers use exponential smoothing, moving average and multiplicative decomposition to make accurate forecasts. To measure the accuracy of forecasting, researchers used the mean square error (MSE), mean absolute deviation (MAD), mean absolute percentage error (MAPE). The research data used is serial data from the sale of bottled drinking water with the NUCless brand from August 2020 to July 2021. NuCless is a production from PT Persada Nawa Kartika, Kertosono, Nganjuk. Researchers in processing data analysis using mathematical analysis POM QM for windows version 5.2 to produce accurate forecasts. The results of this study recommend the value of forecasting demand for three months, namely August 2021 with 9113 boxes, September 2021 with requests for 13811 boxes and October 2021 with requests for 13811 boxes.
FORCASTING DEMAND DENGAN METODE MULTIPLICATIVE DECOMPOSITION DAN TRACKING SIGNALS DI PT PERSADA NAWA KARTIKA Samari Samari; Rony Kurniawan; Sigit Ratnanto
Kajian Bisnis Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Vol 30 No 1 (2022): JURNAL KAJIAN BISNIS
Publisher : Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32477/jkb.v30i1.307

Abstract

This study chooses the right method to produce demand forecasts that have high accuracy so that it can be considered by PT Persada Nawa Kartika, Kertosomo, Nganjuk to develop future marketing plans. Researchers use exponential smoothing, moving average and multiplicative decomposition to make accurate forecasts. To measure the accuracy of forecasting, researchers used the mean square error (MSE), mean absolute deviation (MAD), mean absolute percentage error (MAPE). The research data used is serial data from the sale of bottled drinking water with the NUCless brand from August 2020 to July 2021. NuCless is a production from PT Persada Nawa Kartika, Kertosono, Nganjuk. Researchers in processing data analysis using mathematical analysis POM QM for windows version 5.2 to produce accurate forecasts. The results of this study recommend the value of forecasting demand for three months, namely August 2021 with 9113 boxes, September 2021 with requests for 13811 boxes and October 2021 with requests for 13811 boxes.
Co-Authors Erica Sri Harianti Kurniawan, Rony Rino Sardanto Sigit Ratnanto