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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika
Nandang Iriadi
Universitas Bina Sarana Informatika, Jakarta, Indonesia
Computer Science & IT

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AHP-SMART Method as Evaluation Decision Support for Employee Promotion Akmaludin Akmaludin; Adhi Dharma Suriyanto; Nandang Iriadi; Toni Sukendar; Budi Santoso
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2022): Articles Research Volume 7 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i1.11228

Abstract

Evaluation of the quality of employees in an institution is very necessary, especially for promotions which are the rights of every employee in leading a company that is full of competition. The purpose of this paper is to contribute in terms of the evaluation process in selecting employees who are ready to be promoted in a particular institution. With the support of various parties, a consistent and optimal method is needed to carry out the evaluation process, which is a popular priority, it is recommended to use the AHP-SMART method, where this method will be collaborated to become a core unit of problem solving, especially in terms of promotion as evaluation and selection material. Selection of the best employees, The AHP method will be used to conduct an assessment of the criteria used with the concept of Multi-criteria Decision Making (MCDM) which utilizes the results obtained from the eigenvector through iteration to minimize differences in the assessments of a number of respondents, while the SMART method is used to determine the results of decisions in collaboration with the AHP method, especially in terms of benefit utility and cost utility. The criteria used as an assessment measure consist of Planning, Solution Capture, Knowledge of Job, Reaction Behavior, Quantity of Works, Failed of Jobs, and Depandibility. The final result of the collaboration process of the two methods AHP and SMART gives a ranking of 26 employees with the highest score and being selected through an evaluation process for promotion won by K23 with a ranking weight (73.19) and the second is followed by K2 (76.17) and ranked the third was won by K3 (56.95). Thus the selection and evaluation process for promotion can be recommended and used as an optimal process from the selection stages of employee selection for promotion in every company agency.
Application of the AHP-ELECTRE Method for Selection OOP Based Apps Programs Akmaludin Akmaludin; Adhi Dharma Suriyanto; Nandang Iriadi; Budi Santoso; Bilal Abdul Wahid
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2022): Article Research: Volume 7 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11370

Abstract

Object-based programming (OOP) has become a trend among programming language users, this is because many functions, procedures and techniques for using features are so widely available. By utilizing the advantages of these facilities, it is possible to provide convenience for programmers who use object-based programming languages. The purpose of this study is to provide an objective scoring system for a number of programming applications that have been made equipped with the assessment criteria. Assessment criteria that can be used for object-based apps programs with eleven criteria, namely Class structure, Inheritance, Encapsulation, Pollymorphys, Constructur, Accessor, Mutator, Visibility, Overriding, Overloading, and Price. With these many criteria, it provides a level of difficulty in choosing an object-based program application. To determine the appropriateness of an apps program, source testing will be carried out in the form of coding that has been previously constructed which affects the eleven predetermined measurement criteria. The assessment process recommends using the Electre method as a measure of the results of the calculation and ranking process. While determining the weight of the criteria using the Analytic Hierarchy Process (AHP) method. From the results of the assessment of 23 object-based apps programs, ranking assessments are based on aggregate dominant matrices as follows, the first rank with a weight of 22 as the largest weight is owned by 4 apps programss, namely AP16, AP17, AP18, and AP19. Based on the results of the ranking process, it can be said that the ELECTRE and AHP methods can be used as a selection process for object-based apps programs with optimal results.
Co-Authors ADHI DHARMA SURIYANTO Akmaludin Akmaludin Akmaludin Akmaludin Budi Santoso Toni Sukendar Wahid, Bilal Abdul