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All Journal Jurnal Teknoinfo Jurnal Riset Informatika
Julia Fajaryanti
Universitas Gunadarma
Computer Science & IT

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EXPERT SYSTEM DEVELOPMENT TO IDENTIFY EMPLOYEE PERSONALITY TYPES USING DEMPSTER SHAFER THEORY Julia Fajaryanti; Rogayah Rogayah
Jurnal Riset Informatika Vol 4 No 3 (2022): Period of June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1620.937 KB) | DOI: 10.34288/jri.v4i3.389

Abstract

Human resources are an important asset for the company to develop and realize the company's goals. One of the efforts to optimize the capacity of employees is to know their personality. Personality is the form possessed by an individual in behaving and all the characteristics that distinguish one individual from another. Knowing the personality of employees is important for the company and the employees themselves. Because by knowing a person's personality, the company can maximize the potential of employees and can place certain positions that suit the personality of the employee. This study aims to implement dempster-shafer theory on an inference engine in building an expert system to identify employee personality types. Dempster-shafer theory can perform probability calculations so that evidence can be carried out based on the level of confidence and logical reasoning. The system developed is able to identify the personality type of the employee through the nature or symptoms that exist in the employee. In addition, the system can display the results of the diagnosis with an explanation of the personality type, its nature in work and occupations or positions that are suitable for that personality type. Based on the results of the accuracy test obtained from the comparison of expert system diagnoses with the analysis of an expert, the accuracy value reaches 85%.
IMPLEMENTATION OF THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD FOR SELECTION OF SALESPERSON Jefri Rahmadian; Julia Fajaryanti; Rogayah Rogayah
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2351

Abstract

The purpose of this study is to apply the Simple Additive Weighting (SAW) method in determining the best salesperson at XYZ company in terms of sales performance. This SAW method is considered very suitable in determining the best salesperson because the SAW method carries out a weighted summation process based on the performance rating of each alternative on all existing attributes. The calculation process for selecting the best salesperson is carried out based on criteria that have been determined by the company based on the results of discussions and each criterion has weight. In the best salesperson assessment, the Company determines the criteria that become a reference in decision making.  The criteria used are total sales, attendance, product knowledge, communication, and creativity. The results of the calculation of the final score obtained by the best salesperson ranked 1st were Rangga Dwi Nugroho getting a final score of 0.9. Rank 2 Nurlia Arbaini got a final score of 0.8436. And in 3rd place, Defri Akbarias got a final score of 0.8364. From the results of these calculations, it shows that the SAW method has provided more effective results in terms of providing the best salesperson assessment results, so this is a very important information for company leaders in determining outstanding salesperson based on existing criteria using the SAW method.
EXPERT SYSTEM DEVELOPMENT TO IDENTIFY EMPLOYEE PERSONALITY TYPES USING DEMPSTER SHAFER THEORY Julia Fajaryanti; Rogayah Rogayah
Jurnal Riset Informatika Vol. 4 No. 3 (2022): June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (798.414 KB) | DOI: 10.34288/jri.v4i3.162

Abstract

Human resources are an essential asset for the company to develop and realize the company's goals. One of the efforts to optimize the capacity of employees is to know their personality. Personality is the form an individual possesses in behaving and all the characteristics that distinguish one individual from another. Understanding employees' personality is essential for the company and the employees themselves. Because by knowing a person's personality, the company can maximize the potential of employees and place certain positions that suit the employee's personality. This study aims to implement the dempster-Shafer theory on an inference engine in building an expert system to identify employee personality types. Dempster-Shafer's approach can perform probability calculations so that evidence can be carried out based on confidence and logical reasoning. The system developed can identify the employee's personality type through the nature or symptoms that exist in the employee. In addition, the system can display the diagnosis results with an explanation of the personality type, its character in work and occupations or positions suitable for that personality type. Based on the results of the accuracy-test obtained from the comparison of expert system diagnoses with the analysis of an expert, the accuracy value reaches 85%.
Co-Authors Jefri Rahmadian Lintang Yuniar Banowosari Rogayah Rogayah