The purpose of this study was to determine the effect of the Education System and Student Motivation in Creating Labor Competitiveness (A Case Study Facing the Industrial Revolution 4.0. This study used a quantitative analysis method, namely research using the output of the statistical analysis process towards primary data, which is the answer or feedback (feed back) from respondents who collected through a questionnaire (questionair).This research was conducted at Bhayangkara University, Jakarta Raya, Bekasi. The number of samples determined was 87 respondents using purposive sampling method. Data processing techniques using PLS 3.0 tools. Based on the results of the tests that have been carried out, it shows that the indicators are valid and reliable. The coefficient of determination shows the number of 0.352 which means that the variable of Labor Competitiveness is influenced by the Education System and Student Motivation by 67%. The results of the hypothesis test show that the Education System and Student Motivation have a positive and significant effect on the competitiveness of the workforce.

The purpose of this manuscript is to search the literature to support the variables of this manuscript and to provide results for consideration in future studies as a research gap or alongside other research items. This study did not use SPPS data processing and there were no study participants. Results were obtained. Most of the articles reviewed in the scientific literature had a significant impact on the independent variable of the dependent variable. New to this study is the existence of models or frameworks that previously existed or were used by previous researchers.

This scientific article aims to provide a proof and justification and the final result is a contribution and adds treasures to existing research results, This scientific article uses a causative method with literature studies derived from scientific articles from reputable journals that have a good reputation. The results of this study then the qualitative variables in this study describe the findings in this scientific article related to digital leadership, agile organization and sustainability variables are proven, and strongly used, so that the researcher provides a perspective that in the scope of human resource management there are many variables from this scientific article, related to other variables that can be used in future research.

This scientific  article  aims to show that the variables in the  field of  human  resources offered  in this scientific article reinforce through the existing review literature, by looking at and presented in a result of the author's perspective. The recommendation of this  scientific article is that it can  be continued in   this variable  can be used by  other researchers together   into one variable in a   research result.

Selection of the best teacher is one of the problems in a decision making according to semi-structured criteria. In this research, the decision support system explains how the process of selecting alternative teachers who have the best performance in elementary schools applies the MABAC method and weights it using the Rank Order Centroid (ROC) method. The use of this method can solve the problem of determining the best teacher that occurs in elementary schools. The final result of completing the method will produce the highest ranking value which will be determined to be the highest alternative. The data used in this study were 10 alternative teacher data using 5 criteria, resulting in 1 highest ranking of the 10 alternatives obtained by alternative 1 named Servin Manullang with a value of 0.6086 as a recommendation for the teacher with the best performance