Open AccessAnalysis of classic assumption test and multiple linear regression coefficient test for employee structural office recommendation
Author(s) -
Debby Alita,
Ade Dwi Putra,
Dedi Darwis
Publication year - 2021
Publication title -
indonesian journal of computing and cybernetics systems
Language(s) - English
Resource type - Journals
eISSN - 2460-7258
pISSN - 1978-1520
DOI - 10.22146/ijccs.65586
Subject(s) - structural equation modeling , competence (human resources) , promotion (chess) , linear regression , regression analysis , test (biology) , closeness , regression , psychology , statistics , econometrics , mathematics , social psychology , political science , law , paleontology , mathematical analysis , politics , biology
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.