Jurnal Teknoin
Vol. 28 No. 01 (2023)

Selection of the Best Forecasting Method at PT. Indaco Warna Dunia

Maharani Sari Mutiara Mentari (Universitas Sebelas Maret)
Irwan Iftadi (Universitas Sebelas Maret)



Article Info

Publish Date
26 Jun 2023

Abstract

PT. Indaco Warna Dunia is a decorative paint company in Indonesia that produces products under the brands Envi, Belazo, and Top Seal. Preliminary observations revealed that the forecasting method used by the company is ineffective and inaccurate. This inaccurate forecast result company’s problem in fulfilling the demand. This study aims to select the best forecasting method to improve forecast effectiveness and accuracy. The research was conducted at the Tarakan depot, and the products understudy were a fast-moving product category, specifically the Envi brand. Several forecasting methods such as Moving Average, Weighted Moving Average, Single Exponential Smoothing, Exponential Smoothing with Trend, and Holt's Double Exponential Smoothing. The accuracy of forecasting is the most important and it can be measured with MAPE (Mean Absolute Percentage Error). The results showed that Holt's Double Exponential Smoothing method is the best for three products, while the Exponential Smoothing with Trend method, and Single Exponential Smoothing method are the best for one of the products, respectively.

Copyrights © 2023






Journal Info

Abbrev

jurnal-teknoin

Publisher

Subject

Engineering Mechanical Engineering

Description

Teknoin memiliki komitmen untuk mempublikasikan topik-topik dalam bidang teknologi industri. Selain itu, dengan fitur jurnal open-access, diharapkan Teknoin dapat menjadi rujukan akademis tanpa batas baik untuk penelitian, pengajaran, maupun tujuan akademis ...