A Denih, A Saepulrohman, F Febriansyah

Judul	:	OUTSOURCED EMPLOYEE RECRUITMENT DECISION SUPPORT SYSTEM WITH FUZZY TOPSIS INTEGRATED REST API METHOD
Abstrak	:	PT Dina Mika Muda Mandiri is a logistics and transportation company that is facing challenges in M recruiting outsourced employees to meet the company's standards with complex assessment criteria. In  overcoming this problem, the research developed a decision support system that is integrated with Rest API  and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The system  aims to improve the efficiency and accuracy of candidate selection by evaluating criteria such as interviews,  knowledge, testing, curriculum vitae (CV), processing time, and salary. Two case studies were conducted  involving 36 applicants for a website upgrade project and 24 applicants for an outsourced goods transit  system. The results demonstrate that the decision support system integrated with Fuzzy TOPSIS significantly  enhanced the selection process, improving accuracy by 91% for the website upgrade project and 97% for the  goods transit system when compared to traditional human resource development (HRD) decision criteria. This  demonstrates the system's effectiveness in aligning with HRD standards, making the recruitment process more  effective, accurate and efficient. Future research should explore methods to refine the weighting of criteria and  integrate expert opinions or more sophisticated machine learning algorithms to support more objective  decision support systems in outsourcing employee recruitment.
Tahun	:	2025	Media Publikasi	:	Jurnal Nasional Terakreditasi A
Kategori	:	Jurnal	No/Vol/Tahun	:	3 / 10 / 2025
ISSN/ISBN	:	2527-4864
PTN/S	:	Universitas Pakuan	Program Studi	:	ILMU KOMPUTER
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URL	:	https://ejournal.nusamandiri.ac.id/index.php/jitk/article/view/5521