Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Indonesia Job Vacancy Dataset

Author : Mario E. S. Simaremare 1 Triagus A. Simanjuntak 2 Cintya Y. S. Nainggolan 3 Imelda S. D. Siregar 4

Date of Publication :31st August 2023

Abstract: Job vacancies are jobs (positions) for employers who are looking for suitable employees (to fill vacancies). Job vacancy data serve as a valuable source of information on the characteristics of labor market demand. For example, information that is often found in job vacancy data is a job title, job description, and qualification. Job vacancies could also be used as an indicator of how good a country’s economy is. Until now there is still no research that produces job vacancy datasets in Indonesia. This job vacancy data can be useful to assist other research that requires job vacancy data, such as creating a job recommendation system, identifying trends, and making future predictions. In this paper, we would like to share our job vacancy dataset collected from several popular platforms in Indonesia. The platforms we chose to create the datasets were glints.com, jobindo.com, jobstreet.co.id, and karir.com. We developed scrapers, one for each platform, and ran them to grab vacancies posted on the platforms. Afterward, we carefully analyzed the collected vacancy records and designed the pre-processing steps carefully. The steps were data cleaning, transformation, reduction, and integration. In the end, we integrated all the records into one dataset. The final dataset contains 63,870 records with 20 attributes dated from 2015-2022.

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