PREDIKSI JUMLAH PENGANGGURAN MENGGUNAKKAN METODE RADIAL BASIS FUNCTION (RBF) (STUDI KASUS : KOTA TANJUNGPINANG)

Abstract

Employment is one of the problems faced by the government. Some of the employment problems include the large number of workforce, the relatively low quality of the workforce, the unequal distribution of the workforce, and limited job opportunities. The increase in the number of the workforce is not in line with the increase in the quality of the workforce. The quality of the workforce is not only seen from the level of education, but also from health and ability to work as desired. Based on data obtained from the Central Statistics Agency (BPS) of Tanjungpinang City, it was recorded that in 2018-2019 the number of productive Tanjungpinang city job seekers was around 97,139 people which is the total number of gender and age groups. Prediction of the number of unemployed in the city of Tanjungpinang can be done by training historical data in which the aim is to get a data pattern that will be used to estimate the number of unemployed people each month, the RBF method is good for use in this study, the data used are job seekers data in January 2012 until December 2019. Tests carried out with 45 data centers, with RMSE results of 0.000444