JAIA - Journal of Artificial Intelligence and Applications
Vol. 1 No. 1 (2020): JAIA - Journal of Artificial Intelligence and Applications

Hotel Employee Acceptance Assessment System With Android-Based Moora Method

Karpen Karpen (STMIK Amik Riau)
Widi Paramita (Unknown)
Triyani Arita Fitri (Unknown)
Koko Harianto (Unknown)



Article Info

Publish Date
01 Oct 2020

Abstract

Hotel is a company engaged in the field of services, which requires employees who have competencies in accordance with their fields. At present the existing employees are deemed to lack competency in accordance with their field of work. In order for employees to have competence according to their field of work, the hotel must carry out an acceptance assessment that requires certain criteria, such as education, foreign language acquisition, discipline, experience and others. One of the appropriate decision making methods for evaluating acceptance is the MOORA (Multi Objective Optimization on the basis of Ratio Analysis) method which is a multi-objective system that optimizes two or more conflicting criteria. The MOORA method has a degree of flexibility and ease of understanding in separating the subjective parts of an evaluation process into criteria, by determining the weights and attributes as decision making, the form of decision matrices and ranking. The criteria used in this study are height, experience, discipline, interviews, written tests, foreign languages, friendly, computer, software and medical checkups. To facilitate the assessment of acceptance, this system is applied based on Android, so that in addition to the hotel, prospective employees can also find out the results of the assessment. Based on the implementation of the system application, the use of the MOORA method for the hotel employee acceptance evaluation system can produce the right decision system, in accordance with the predetermined ranking, criteria and weight of the assessment

Copyrights © 2020






Journal Info

Abbrev

JAIA

Publisher

Subject

Computer Science & IT

Description

This journal publishes research results in the form of research articles, literature studies and articles in the form of concepts and policies in the field of computers in general: Machine Learning and Deep Learrning Clustering and Classification Prediction Document Mining and Text Mining Sentiment ...