Hotel Employee Acceptance Assessment System With Android-Based Moora Method
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
References
[2] N. R. Kurnianda, “Multi-Attribute Decision Making Model for Acceptance of Prospective Corporate Employees with Interpolation Method,” J. Phys. Conf. Ser., vol. 1179, no. 1, 2019, doi: 10.1088/1742-6596/1179/1/012006.
[3] D. Ardiansyah, J. Arliansyah, and E. Kadarsa, “Road handling priority in ogan komering ilir regency using ahp, topsis and moora methods,” Int. J. Sci. Technol. Res., vol. 8, no. 12, pp. 237–245, 2019.
[4] A. UTAMI and E. L. RUSKAN, “Development of Decision Support System for Selection of Yayasan Alumni Scholarship Using MOORA Method,” vol. 172, no. Siconian 2019, pp. 706–710, 2020, doi: 10.2991/aisr.k.200424.107.
[5] J. S. Itika, “Fundamentals of Human Resource Management,” Hum. Resour. Manage., no. October, pp. 133–154, 2017.
[6] H. Zaher, H. A. Khalifa, and S. Mohamed, “On rough interval multi criteria decision making,” Int. J. Sci. Technol. Res., vol. 7, no. 3, pp. 44–54, 2018.
[7] T. Limbong et al., “The Implementation of Multi-Objective Optimization on the Basis of Ratio Analysis Method to Select the Lecturer Assistant Working at Computer Laboratorium,” Int. J. Eng. Technol., vol. 7, no. 2.13, p. 352, 2018, doi: 10.14419/ijet.v7i2.13.16919.
[8] Z. Clifford Tizhe Oaya, J. Ogbu, and G. Remilekun, “Impact of Recruitment and Selection Strategy on Employees’ Performance: A Study of Three Selected Manufacturing Companies in Nigeria,” Int. J. Innov. Econ. Dev., vol. 3, no. 3, pp. 32–43, 2017, doi: 10.18775/ijied.1849-7551-7020.2015.33.2003.
[9] K. Kuppusamy, N. Shanmugasundaram, Dr.E.N.Ganesh, and S. P. Kumar, “Implementation of Performance Evaluation of employees through online system,” Int. J. Manag. Technol. Eng., vol. 3, no. 12, pp. 5432–5440, 2019, doi: 2019.
[10] A. Iqbal, M. S. Tufail, and R. N. Lodhi, “Employee Loyalty and Organizational Commitment in Pakistani Organizations,” Glob. J. Hum. Resour. Manag., vol. 3, no. 1, pp. 1–11, 2015.
[11] B. Mallick, B. Sarkar, and S. Das, “Application of the MOORA Method for Multi-Criteria Inventory Classification,” Indian Sci. Cruiser, vol. 31, no. 6, p. 15, 2017, doi: 10.24906/isc/2017/v31/i6/166459.
[12] S. Fadli and K. Imtihan, “Implementation of MOORA Method in Evaluating Work Performance of Honorary Teachers,” SinkrOn, vol. 4, no. 1, p. 128, 2019, doi: 10.33395/sinkron.v4i1.10192.
[13] A. Rahmatulloh, R. Rianto, and M. Q. Shihab, “Point Clipping Algorithm on Employee Presence Application for Geolocation of Employee Position,” Kinet. Game Technol. Inf. Syst. Comput. Network, Comput. Electron. Control, vol. 4, no. 4, pp. 345–356, 2019, doi: 10.22219/kinetik.v4i4.796.
[14] N. M. Minhas, S. Masood, K. Petersen, and A. Nadeem, “A systematic mapping of test case generation techniques using UML interaction diagrams,” J. Softw. Evol. Process, vol. 32, no. 6, 2020, doi: 10.1002/smr.2235.
