Analysis of classic assumption test and multiple linear regression coefficient test for employee structural office recommendation
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1. | Title | Title of document | Analysis of classic assumption test and multiple linear regression coefficient test for employee structural office recommendation |
2. | Creator | Author's name, affiliation, country | Debby Alita; Universitas Teknokrat Indonesia; Indonesia |
2. | Creator | Author's name, affiliation, country | Ade Dwi Putra; Universitas Teknokrat Indonesia; Indonesia |
2. | Creator | Author's name, affiliation, country | Dedi Darwis; Universitas Teknokrat Indonesia; Indonesia |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | job promotion; multiple linear regression; predictive model; structural position |
4. | Description | Abstract | The performance appraisal process in Religious High Court Bandar Lampung has not been carried out objectively, but rather a subjectivity element (relationship closeness). Some employees occupy structural positions but do not fulfil competence and promotion principles, so that it has an impact on providing promotion to a position in the judiciary. Multiple Linear Regression method can provide a predictive model for employee recommendations entitled to occupy positions in the agency. The method implementation using SPSS produces an equation Y = 74.177 + 0.035X1 + 0.020X2 - 0.026X3 + 0.045X4 + 0.001X5. This equation is applied to the employee performance values, and it is obtained from 40 employees 26 employees deserve to be given recommendations promotion. Regression performance testing results using 10-cross validation get the correlation coefficient value is 80.66% with MAE value of 2.24% and RMSE 3.88%, which mean has good performance. |
5. | Publisher | Organizing agency, location | IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2021-07-31 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | https://jurnal.ugm.ac.id/ijccs/article/view/65586 |
10. | Identifier | Digital Object Identifier (DOI) | https://doi.org/10.22146/ijccs.65586 |
11. | Source | Title; vol., no. (year) | IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 15, No 3 (2021): July |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions |
Copyright (c) 2021 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)![]() This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. |