Akademika
Vol 16 No 1 (2023): Jurnal Akademika

SISTEM PENDUKUNG KEPUTUSAN THE BEST MEDICAL EMPLOYEE BERBASIS WEB MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING(SAW) (STUDI KASUS : STARTUP KEI MEDIKA)

Puad, Lailyn (Unknown)
Limia Budiarti, Rike (Unknown)
Alfianto, Jefry (Unknown)

Article Info

Publish Date
21 Nov 2023

Abstract

Efficient assessment of medical employees is crucial for delivering quality healthcare services. This research proposes a Web-based Decision Support System (DSS) employing the Simple Additive Weighting (SAW) method to evaluate top employees and outstanding medical staff in the Kei Medika startup. The system assigns weights to evaluation criteria, generating rankings for employees. System evaluation results demonstrate efficiency and consistency in assessments. This technology aids in enhancing medical service quality by identifying high-performing staff.

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Journal Info
Akademika
Website

Abbrev

akademika

Publisher

Universitas Nurdin Hamzah

Subject

Computer Science & IT

Description

Jurnal Akademika merupakan media publikasi hasil penelitian dari para akademisi serta praktisi yang berkenaan dengan teknologi informasi dengan beberapa topik bahasan meliputi sistem informasi, jaringan komputer, keamanan sistem, multimedia, kecerdasan buatan, dan sistem pakar. Jurnal Akademika ...