Prediksi Kategori Posisi Pekerjaan Bagi Calon Pekerja Melalui Resume

Ardine, Ciptaagung Firjat (2025) Prediksi Kategori Posisi Pekerjaan Bagi Calon Pekerja Melalui Resume. Project Report (Praktek Kerja Lapang dan Magang). UPN Veteran Jawa Timur.

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Abstract

In this digital era, the recruitment and job search process has become increasingly complex and time consuming. Companies are faced with piles of resumes from applicants that must be sorted and analyzed to find the most suitable candidates for the available positions. On the other hand, applicants often have difficulty finding jobs that match their qualifications and interests. The use of machine learning technology in the recruitment process is one solution to overcome this problem. By using various natural language processing (NLP) techniques and machine learning algorithms, it is possible to develop models to analyze and classify text on resumes. The model is trained using a dataset containing a collection of resumes that have information related to job descriptions that have been previously classified. It is hoped that the development of this model can assist companies in selecting the most suitable candidates for certain positions and also make the recruitment process efficient and effective, as well as assist applicants in finding the right job.

Item Type:

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

Contributors: