PENERAPAN PERAMALAN PENJUALAN PRODUK BERGO DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN WEIGHTED MOVING AVERAGE UNTUK PERENCANAAN PRODUKSI DI PT.BERSAMA ZATTA JAYA TBK (ELCORPS)

Aditya Nur Ath-thariq, 224010292 and Dr. Atty Tri Juniaarti, SE.,MSi, Pembimbing (2026) PENERAPAN PERAMALAN PENJUALAN PRODUK BERGO DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN WEIGHTED MOVING AVERAGE UNTUK PERENCANAAN PRODUKSI DI PT.BERSAMA ZATTA JAYA TBK (ELCORPS). Skripsi(S1) thesis, Universitas Pasundan Bandung.

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Abstract

ABSTRACT This study was conducted at PT. Bersama Zatta Jaya Tbk (Elcorps), a company operating in the Muslim fashion industry. The main problem faced by the company is the discrepancy between the sales forecasts used as the basis for production planning and actual production figures. This situation highlights the need for forecasting methods that can produce more accurate sales estimates to support production planning. This study aims to apply the Double Exponential Smoothing and Weighted Moving Average methods to forecast sales of Bergo products at PT. Bersama Zatta Jaya Tbk and to compare the accuracy of these two methods with the forecasting method currently used by the company. This study uses historical sales data for Bergo products as the basis for forecasting. Based on the research results, the Double Exponential Smoothing method with a = 0.4 and b = 0.9 produced a MAPE value of 16.732%, while the Weighted Moving Average method with weights w₁ = 0.70, w₂ = 0.20, and w₃ = 0.10 produced a MAPE value of 18.751%. These results indicate that the Double Exponential Smoothing method has a higher level of accuracy, with a discrepancy of 4,387 units from total sales, whereas the forecasting method used by the company has a discrepancy of 11,603 units from total sales. Keywords: sales forecasting, Double Exponential Smoothing, Weighted Moving Average, Production Planning

Item Type: Thesis (Skripsi(S1))
Subjects: S1-Skripsi
Divisions: Fakultas Ekonomi dan Bisnis > Manajemen 2022
Depositing User: Mr FEB-Parid -
Date Deposited: 28 Sep 2026 07:31
Last Modified: 28 Sep 2026 07:31
URI: https://repository.unpas.ac.id/id/eprint/84937

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