ANALISIS KOMPONEN UTAMA PADA DINAS KETENAGAKERJAAN BAGIAN PENEMPATAN DAN PERLUASAN KERJA MENCARI PEKERJAAN MENURUT GOLONGAN PEKERJAAN

Muliady Faisal (Program Studi Matematika, Jurusan Matematika dan Teknologi Informasi, Institut Teknologi Kalimantan, Balikpapan)
Syalam Ali Wira Dinata (Program Studi Statistika, Jurusan Matematika dan Teknologi Informasi, Institut Teknologi Kalimantan, Balikpapan)
Dewi Ratna Sari (Program Studi Matematika, Jurusan Matematika dan Teknologi Informasi, Institut Teknologi Kalimantan, Balikpapan)

Journal of Innovation Research and Knowledge
Vol. 2 No. 12: Mei 2023

Job seekers are a process that matches jobs to match. If all workers and all types of workers are the same, then all workers are suitable for all types of work, then job search will not be a problem. In this research, an analysis is needed to determine the job seeker who chooses according to the desired job group. By using the analysis of the Pricipal Component Analysis using SPSS, the output is the value of KMO and Barlett's Test, MSA, communality, Total Variance, Scree plot and Matrix Components. By using the Main Component Analysis methodology to reduce/reduce the factors that affect job seekers according to groups from 9 existing variables, the results of the reduction are obtained.