ANALISIS DAN PERAMALAN JUMLAH PESERTA PELATIHAN MENGGUNAKAN METODE TIME SERIES DI PPSDM MIGAS SOFTWARE POM QM

Setiyoso, Budiman ANALISIS DAN PERAMALAN JUMLAH PESERTA PELATIHAN MENGGUNAKAN METODE TIME SERIES DI PPSDM MIGAS SOFTWARE POM QM. Project Report (Praktek Kerja Lapang dan Magang). Universitas Pembangunan Nasional "Veteran" Jawa Timur.

	Text (Cover) 22032010082-cover.pdf Download (361kB)
	Text (Bab 1) 22032010082-bab1.pdf Download (261kB)
	Text (Bab 2) 22032010082-bab2.pdf Restricted to Repository staff only until 31 August 2029. Download (413kB)
	Text (Bab 3) 22032010082-bab3.pdf Restricted to Repository staff only until 31 August 2029. Download (388kB)
	Text (Bab 4) 22032010082-bab4.pdf Restricted to Repository staff only until 31 August 2029. Download (255kB)
	Text (Bab 5) 22032010082-bab5.pdf Download (226kB)
	Text (Daftar Pustaka) 22032010082-dapus.pdf Download (226kB)

Abstract

Forecasting the number of training participants is an important aspect for training service companies in supporting operational planning and achieving annual targets. XYZ Company as a training service provider faces fluctuating participant demand conditions, so it requires an appropriate and accurate method. This case study aims to analyze and determine..the best forecasting method in predicting the number of training participants using a time series approach. The methods used include Moving Average, Weighted Moving Average, and Single Exponential Smoothing using POM-QM software for Windows. The data used is historical data on the number of training participants for 12 months, namely the period December 2024 to November 2025. The performance assessment of the forecasting method is carried out by referring to several error indicators such as MAD, MSE, MAPE, and Standard Error. Based on the analysis results, the Moving Average method shows the lowest error rate compared to other forecasting methods, with a MAPE value of 35.557% and the forecasting results for the next period are 843 participants. Thus, the Moving Average method is considered the most effective for use in forecasting the number of training participants at XYZ Company. It is hoped that the forecasting results produced can be used as material for consideration by the company in determining decisions, managing resources, and increasing operational efficiency.

Item Type:

Monograph (Project Report (Praktek Kerja Lapang dan Magang))

Contributors: