Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment
The Company is one of the jobs that was founded to reduce unemployment. The progress of a company is determined by the human resources that exist within the company. So, the selection of workers will join the company need to be selected first. The hardest thing in making a selection factor is the ef...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Udayana University, Institute for Research and Community Services
2016-12-01
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| Series: | Lontar Komputer |
| Subjects: | |
| Online Access: | https://ojs.unud.ac.id/index.php/lontar/article/view/25459 |
| _version_ | 1797990245439897600 |
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| author | Budi Prasetiyo Niswah Baroroh |
| author_facet | Budi Prasetiyo Niswah Baroroh |
| author_sort | Budi Prasetiyo |
| collection | DOAJ |
| description | The Company is one of the jobs that was founded to reduce unemployment. The progress of a company is determined by the human resources that exist within the company. So, the selection of workers will join the company need to be selected first. The hardest thing in making a selection factor is the effort to eliminate the subjectivity of the personnel manager so that every choice made is objective based on the criteria expected by the company. To help determine who is accepted as an employee in the company, we need a method that can provide a valid decision. Therefore, we use Fuzzy Multiple Attribute Decision Making with Simple Additive Weighting method (SAW) to decide to make in human resource recruitment. This method was chosen because it can provide the best alternative from several alternatives. In this case, the alternative is that the applicants or candidates. This research was conducted by finding the weight values for each attribute. Then do the ranking process that determines the optimal alternative to the best applicants who qualify as employees of the company. Based on calculations by the SAW obtained the two highest ranking results are A5 (alternative 5) and A1 (alternative 1), to obtain two candidates received. |
| first_indexed | 2024-04-11T08:33:27Z |
| format | Article |
| id | doaj.art-83316139a01e4e21aee0affd67827a43 |
| institution | Directory Open Access Journal |
| issn | 2088-1541 2541-5832 |
| language | English |
| last_indexed | 2024-04-11T08:33:27Z |
| publishDate | 2016-12-01 |
| publisher | Udayana University, Institute for Research and Community Services |
| record_format | Article |
| series | Lontar Komputer |
| spelling | doaj.art-83316139a01e4e21aee0affd67827a432022-12-22T04:34:25ZengUdayana University, Institute for Research and Community ServicesLontar Komputer2088-15412541-58322016-12-0117418110.24843/LKJITI.2016.v07.i03.p0525459Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource RecruitmentBudi Prasetiyo0Niswah Baroroh1Computer Science Department, FMIPA, Universitas Negeri SemarangAccounting Department, FE, Universitas Negeri SemarangThe Company is one of the jobs that was founded to reduce unemployment. The progress of a company is determined by the human resources that exist within the company. So, the selection of workers will join the company need to be selected first. The hardest thing in making a selection factor is the effort to eliminate the subjectivity of the personnel manager so that every choice made is objective based on the criteria expected by the company. To help determine who is accepted as an employee in the company, we need a method that can provide a valid decision. Therefore, we use Fuzzy Multiple Attribute Decision Making with Simple Additive Weighting method (SAW) to decide to make in human resource recruitment. This method was chosen because it can provide the best alternative from several alternatives. In this case, the alternative is that the applicants or candidates. This research was conducted by finding the weight values for each attribute. Then do the ranking process that determines the optimal alternative to the best applicants who qualify as employees of the company. Based on calculations by the SAW obtained the two highest ranking results are A5 (alternative 5) and A1 (alternative 1), to obtain two candidates received.https://ojs.unud.ac.id/index.php/lontar/article/view/25459FuzzySimple Additive WeightingHuman Resource Recruitment |
| spellingShingle | Budi Prasetiyo Niswah Baroroh Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment Lontar Komputer Fuzzy Simple Additive Weighting Human Resource Recruitment |
| title | Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment |
| title_full | Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment |
| title_fullStr | Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment |
| title_full_unstemmed | Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment |
| title_short | Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment |
| title_sort | fuzzy simple additive weighting method in the decision making of human resource recruitment |
| topic | Fuzzy Simple Additive Weighting Human Resource Recruitment |
| url | https://ojs.unud.ac.id/index.php/lontar/article/view/25459 |
| work_keys_str_mv | AT budiprasetiyo fuzzysimpleadditiveweightingmethodinthedecisionmakingofhumanresourcerecruitment AT niswahbaroroh fuzzysimpleadditiveweightingmethodinthedecisionmakingofhumanresourcerecruitment |