Amalia Balqis Qonitah, . (2025) SISTEM PENDUKUNG KEPUTUSAN PEREKRUTAN KARYAWAN DI RUMAH SAKIT ALIA JAKARTA TIMUR MENGGUNAKAN METODE ANALYTIC HIERARCHY PROCESS (AHP) DAN SIMPLE ADDITIVE WEIGHTING (SAW). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The employee recruitment process is a crucial part of supporting the operational continuity of an institution, especially in the healthcare sector such as hospitals. Alia Hospital East Jakarta currently still conducts the employee selection process manually, resulting in lengthy processing times, a high risk of data errors, and difficulties in thoroughly evaluating and comparing candidates. This study aims to develop a web-based decision support system to assist the recruitment process by applying a combination of the Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The AHP method is used to determine the weight of each criterion, while the SAW method is used to calculate preference scores and rank the candidates. The assessment is based on seven criteria: education, work experience, interview results, written test, appearance, age, and expected salary. The result of this research is a decision support system model that has been tested in the pharmacist selection process and helps the HR team compare and evaluate candidates based on the values of each criterion determined according to the hospital’s needs.
Item Type: | Thesis (Skripsi) |
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Additional Information: | [No.Panggil: 2110512035] [Pembimbing: Zatin Niqotaini] [Penguji 1: Ati Zaidiah] [Penguji 2: Ruth Mariana Bunga Wadu] |
Uncontrolled Keywords: | Decision Support System, Recruitment, AHP, SAW |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
Depositing User: | AMALIA BALQIS QONITAH |
Date Deposited: | 09 Jul 2025 06:16 |
Last Modified: | 09 Jul 2025 06:16 |
URI: | http://repository.upnvj.ac.id/id/eprint/37504 |
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