利用线性回归预测三宝垄的劳动力水平和公开失业率

Febrilia Febrilia Hayyu Pradaningrum, Ferian Fauzi Abdulloh
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引用次数: 0

摘要

造成失业的原因有很多,不仅是因为懒得找工作,而且在印尼这个地区,失业主要是由于就业机会有限、就业竞争激烈、劳动力数量庞大、缺乏工作经验以及对工作过于挑剔等原因造成的。三宝垄的失业问题是由于劳动力数量过多导致失业率越来越高。在这项研究中,作者预测了三宝垄的失业率水平。本研究是一项定量研究,其数据取自三宝垄统计局。在本研究中,作者使用了线性回归算法。该算法被广泛用于预测问题,本研究得出的 RMSE(均方根误差)值为 0.07,R Square 值为 91%。所得结果可作为政府了解三宝垄高失业率的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediksi Tingkat Angkatan Kerja Terhadap Pengangguran Terbuka Di Semarang Menggunakan Regresi Linier
Unemployment is a situation where a person who does not have a job is caused by many factors, not only because they are lazy to look for work but mostly in this region of Indonesia unemployment is caused by limited employment opportunities, a lot of competition in the world of work, the large number of the labor force, lack of experience in the world of work, and also too choosy in working. The unemployment that occurs in Semarang is caused by the high number of labor force that makes the unemployment rate more and more. In this research, the author predicts the level of unemployment in Semarang. This research is a quantitative research whose data is taken from BPS Semarang. In this research, the author uses linear regression algorithm. The algorithm is widely used in cases to predict a problem, this research produces an RMSE (Root Mean Square Error) value of 0.07 with an R Square value of 91%. The results obtained can be used as a reference for the government to see the high unemployment rate in Semarang.
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