Andryan Setyadharma
Economics Development Department, Economics Faculty, Universitas Negeri Semarang

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Factors that Influence Drop Out of Vocational High School Triyani Lestari; Andryan Setyadharma
Economics Development Analysis Journal Vol 8 No 3 (2019): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

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Abstract

The purpose of this study is to analyze the factors that influence the likelihood of students dropping out of school in Pekalongan City. The sample in this study was 100 ex-students vocational school in Pekalongan City. Data were obtained from the questionnaire using the convience sampling. The method used in this study is quantitative with logit analysis. The results of the study showed that perception, number of siblings, helping parents, problems with friends, and punishments had a significant effect on increasing the probability of dropping out of school. And than, financial assistance variable were the only variable examined and had a significant effect on reducing the probability of dropping out. The Suggestion in this study is to provide knowledge about the importance of education as a future investment and provide reguler counseling to students. They should not involve their children too much to help with the work of the parent. Then from the government, through optimizing financial assistance.
The Relationship Between Institutions and Business Opportunities Toward Economic Growth P Eko Prasetyo; Andryan Setyadharma; Nurjannah Rahayu Kistanti
Economics Development Analysis Journal Vol 8 No 4 (2019): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v8i4.36311

Abstract

This study aimed at explaining the relationship, and effects of human capital, entrepreneurial business opportunities, institutional economics, and regional economic growth. It was carried out to develop fundamental microeconomic model in rural development to assist human capital roles and institutions as well as entrepreneurial business for the economic growth. Further, the researchers used simultaneous system method in form of a recursive correlational path analysis model. This modeling system provides simplicity and easy understanding. The main source of the data were the empirical micro fundamental data of the business doers in rural areas measured by Gini index ratio. The findings showed that human capital and institutions were the main pillars in improving the quality of regional economic growth. Interestingly, there was a strong relationship between business opportunities and economic growth. However, the business opportunities had significantly negative effect toward the regional economic growth. These indicate the existence of a disturbance outside the model, namely the presence of bank credit which apparently made the business doers suffered losses. In this way, there is a need to examine further the reasons why the bank credits given to MSMEs negatively effect the economic growth.