ANALISIS FORECASTING PENJUALAN PUPUK BERSUBSIDI MENGGUNAKAN METODE PERAMALAN DEKOMPOSISI TIME SERIES PT. PUPUK INDONESIA PERSERO

Markus Rivaldo Yulinchton, . (2024) ANALISIS FORECASTING PENJUALAN PUPUK BERSUBSIDI MENGGUNAKAN METODE PERAMALAN DEKOMPOSISI TIME SERIES PT. PUPUK INDONESIA PERSERO. Tesis thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

This research analyzes the sales forecasting of PT Pupuk Indonesia (Persero) in the subsidized sector for the year 2025. The purpose of this study is to provide the best forecasting solution related to subsidized fertilizers at PT Pupuk Indonesia. This research is quantitative in nature, utilizing secondary data from the Annual Report of PT Pupuk Indonesia (Persero). The study employs the Weighted Moving Average (WMA) calculation method with weights of 3, 5, and 7, and uses the Mean Absolute Percentage Error (MAPE) index to measure the accuracy of the generated data. The analysis results indicate that the sales forecasting using the WMA method with weights of 3, 5, and 7 can be recommended, as the MAPE values fall within the range of 10%-20%, which is categorized as having good predictive capability.

Item Type: Thesis (Tesis)
Additional Information: [No.Panggil: 2210121037] [Pembimbing: Alfatih S Manggabarani] [Penguji 1: Prasetyo Hadi] [Penguji 2: Maria Assumpta Wikantari]
Uncontrolled Keywords: Forecasting, PT Pupuk indonesia (Persero), WMA, MAPE
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
Divisions: Fakultas Ekonomi dan Bisnis > Program Studi Manajemen (S2)
Depositing User: MARKUS RIVALDO YULINCHTON
Date Deposited: 11 Feb 2025 09:47
Last Modified: 11 Feb 2025 09:47
URI: http://repository.upnvj.ac.id/id/eprint/34245

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