Analisis Peramalan Permintaan Laboratorium Kalibrasi Dengan Metode Time Series Di PT Pal Indonesia Menggunakan Software POM QM

Nofianto, Indah Yansi (2025) Analisis Peramalan Permintaan Laboratorium Kalibrasi Dengan Metode Time Series Di PT Pal Indonesia Menggunakan Software POM QM. Project Report (Praktek Kerja Lapang). -. (Unpublished)

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Abstract

Forecasting is a method for planning and controlling production, particularly in addressing demand uncertainties. This study aims to analyze calibration demand in the ISO, Standardization, and Calibration Department of the Technology & Quality Assurance Division at PT XYZ Indonesia using the time series method and POM-QM software. The methods employed are Single Exponential Smoothing and Double Exponential Smoothing. The study's results indicate that Single Exponential Smoothing provides more accurate predictions, with forecasting error measures of MAD at 60.04, MSE at 6176.911, and MAPE at 55.128%. Compared to Double Exponential Smoothing based on the parameters of Mean absolute deviation (MAD), mean squared error (MSE) and mean absolute percentage error (MAPE). Using this method, the company can predict demand more effectively, improve operational efficiency, and better meet customer needs. This study recommends the use of Single Exponential Smoothing for forecasting calibration demand in the future.

Item Type:

Monograph (Project Report (Praktek Kerja Lapang))

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