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All Journal Jurnal Manajemen Teori dan Terapan ComTech: Computer, Mathematics and Engineering Applications
Hari Wijayanto
Institut Pertanian Bogor
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Mathematics

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Pengaruh Keadilan Organisasi dalam Penilaian Kinerja terhadap Kepuasan Penilaian dan Kinerja Karyawan Masrukin Masrukin; Musa Hubeis; Hari Wijayanto
Jurnal Manajemen Teori dan Terapan | Journal of Theory and Applied Management Vol. 11 No. 3 (2018)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (760.404 KB) | DOI: 10.20473/jmtt.v11i3.10611

Abstract

Since 2012, management of PTPN V Pekanbaru implemented a new system of performance appraisal, named Competency-Based Performance Management (CBPM) for replaced the earlier system. The difference between CBPM and the earlier system is CBPM use a set of measured performance indicator, while in the old system, performance appraisal done by graphic rating scale method. One of performance appraisal effectiveness indicator is organizational justice on performance appraisal. The purpose of this study is to analyze organizational justice in performance appraisal and their influence on satisfaction toward performance appraisal and employee’s performance. Data collected from 196 respondents from managerial employee by a set of online questionnaire with purposive sampling’s technique. Descriptive analysis carried out by mean value’s analysis and range’s criteria analysis. Hypothesis testing has done by Structural Equation Modelling-Partial Least Square (SEM-PLS) analysis. The descriptive analysis shows that organizational justice in the performance appraisal had run well and the employees had satisfied toward the performance appraisal. SEM-PLS analysis shows that organizational justice in performance appraisal effect to satisfaction of performance appraisal and employee’s performance significantly. Satisfaction toward performance appraisal does not play a role in mediating the influence of justice in the performance appraisal to employee performance
Prediction of Undergraduate Student’s Study Completion Status Using MissForest Imputation in Random Forest and XGBoost Models Intan Nirmala; Hari Wijayanto; Khairil Anwar Notodiputro
ComTech: Computer, Mathematics and Engineering Applications Vol. 13 No. 1 (2022): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v13i1.7388

Abstract

The number of higher education graduates in Indonesia is calculated based on their completion status. However, many undergraduate students have reached the maximum length of study, but their completion status is unknown. This condition becomes a problem in calculating the actual number of graduates as it is used as an indicator of higher education evaluation and other policy references. Therefore, the unknown completion status of the students who have reached the maximum length of study must be predicted. The research compared the performance of Random Forest and Extreme Gradient Boosting (XGBoost) classification models in predicting the unknown completion status. The research used a dataset containing 13.377 undergraduate students’ profiles from the Higher Education Database (PDDikti), Ministry of Education, Culture, Research, and Technology. The dataset was incomplete, and the proportion of missing data was 20,9% of the total data. Because missing data might lead to prediction bias, the research also used MissForest imputation to overcome the missing data in the classification modelling and compared it to Mean/Mode and Median/Mode imputation. The results show that MissForest outperforms the other two imputations in both classifiers but requires the longest computation time. Furthermore, the XGBoost model with MissForest is significantly superior to the Random Forest model with MissForest. Hence, the best model chosen to predict the completion status is XGBoost with MissForest imputation.
Co-Authors Intan Nirmala Khairil Anwar Notodiputro Masrukin Masrukin Musa Hubeis