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This study was compiled to find out the results of an analysis of the factors that influence the human development index in DKI Jakarta Province for the 2017-2021 period. The human development index explains how people can access development outcomes in terms of income, health, education, and so on. HDI is based on three basic dimensions which include: 1. Long and healthy life (a long and healthy life); 2. Knowledge; 3. Decent standard of living. The purpose of this study is to analyze the components of each dimension that underlies the human development index, such as the Morbidity factor which is an extension of the dimensions of longevity and healthy life, the Net Enrollment Rate (APM) factor which is an extension of the education dimension, and the open unemployment rate factor. which is an extension of the dimension of a decent standard of living. These three components are used as independent variables to analyze their influence on the human development index in the DKI Jakarta province for the 2017-2021 period. This study is also used to rank the components that have the most influence to those that have the least impact on the HDI for DKI Jakarta province for the 2017-2021 period. This study uses Eviews-10 with time series data sourced from the DKI Jakarta Central Statistics Agency (BPS) web for the period 2017-2021. The research method used is the VECM (Vector Error Correction Model) which functions as an approach to predict long-term and short-term relationships in one time series data to other time series data. The results of this study say that the TPT variable (open unemployment rate), Morbidity Rate, and Net Participation Rate (APM) only make a small contribution to the Human Development Index in districts/municipalities in the Province of Jakarta. In the analysis results of the f test and t partial test, only two variables namely TPT (open unemployment rate) and morbidity have an influence on HDI. Meanwhile, the APM variable (pure enrollment rate) has no effect on HDI.

Education should be a center of attention in Indonesia, education services for the community, must continue at the level throughout the country. Implementation and service of education in Indonesia is still uneven, still focused on big cities. Many areas in Indonesia find it difficult for the public to obtain educational services, Jakarta as the national capital, as if everything is there and available there, but it must be admitted for Banten Province which is adjacent to the Special Capital Region of Jakarta. Data from the Central Statistics Agency (BPS) for 2016, shows that the average length of schooling in the Banten region is only 8.37 years, in Serang District some students have to risk their lives because the school is damaged, so that classrooms are used alternately. Based on data released by the Ministry of Culture and Culture, there are 48% of schools in Banten that have been damaged and are not suitable for normal use as school rooms. The Banten Education Office stated that there are many problems driving the low net enrollment rate (APM) in schools in Banten, including inadequate facilities and infrastructure, educational services are not evenly distributed, and the community's level of education is still low. This research is intended to identify and examine the existence of the image of higher education, peers and facilities and infrastructure in influencing students' interest in continuing their education to a higher level. The method used in this study is a quantitative method with descriptive and verification properties. The analysis tool used is path analysis with the help of the SPSS for Windows 25 program. The results of the study show that there is an influence from the image of higher education, peers and facilities and infrastructure on interest in college.