The emergence of the industrial era 4.0 led to the need for changes in the world of education to compensate for the increase in this industry. Teaching factory learning itself has a function to be able to prepare graduates who the industry can immediately absorb. To see the success of the teaching factory, a comprehensive evaluation is needed so that the strengths and weaknesses of the teaching factory can be known. This study uses a descriptive approach based on a literature review. The research data were obtained from various research results and previous studies still relevant to this research. From the results of this study, it was concluded that the implementation of the teaching factory was still not running correctly because there was no common understanding regarding the teaching factory learning pattern among the parties concerned. In addition, there are limitations in resources, so as a result, schools have difficulties implementing optimal teaching factories.

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The purpose of this study is to determine the effect of marketing management of transportation services to the satisfaction of public services in Jakarta. The research method used in this study is associative research method. It is a research that tries to find the relation of causality between one variable and another by using quantitative analysis techniques (statistics). To calculate the relationship and influence between the variables, the calculation of Rank Spearman Correlation Coefficient and Pearson Product Moment are used. The population of this study is the user community of online-based public transport services. The results of this study show that the variable of marketing management of transportation services significantly influence public satisfaction in Jakarta.

The purpose of this study is to determine the effect of marketing management of transportation services to the satisfaction of public services in Jakarta. The research method used in this study is associative research method. It is a research that tries to find the relation of causality between one variable and another by using quantitative analysis techniques (statistics). To calculate the relationship and influence between the variables, the calculation of Rank Spearman Correlation Coefficient and Pearson Product Moment are used. The population of this study is the user community of online-based public transport services. The results of this study show that the variable of marketing management of transportation services significantly influence public satisfaction in Jakarta