Evaluation Policy on Assistance Program Bidikmisi Higher Education in Private Kopertis Region Xii


Tahir Wasahua, Yonny Koesmaryono, Illah Sailah

Abstract


One of the governments’ policy through Directoral General of Learning and Student Affair, Ministry of Research, Technology and Higher Education in improving the access for new students namely the bidikmisi program. Program bidikmisi is a tuition fee subsidy program allocated to selected new students who possess excellent academic capability yet facing economic difficulties due to poor economical condition parents. bidikmisi program has been conducted annually in order to improve accesses to gain higher education. The purpose of this study is to reveal the impact of bidikmisi extension to the students’ success in terms of student learning interest, learning attitude, motivation and academic achievement. Data collection technique used in this study were descriptive qualitative and quantitative, by spreading questionnaire to bidikmisi receiver which consisted of 246 students of year 2013, 2014 and 2015 on 28 higher education in private under kopertis regional XII. Data analyzed using descriptive analysis and multiple regression. The study result indicates that the intrinsic characteristic for admission year of bidikmisi program, gender, age, school origin, area origin, parents’ educational background and parents’ income partially did not influence significantly to students’ attitude and behaviour; however, parents’ occupation gave a real impact towards students’ attitude and behaviour. bidikmisi program management and the characteristic environment of college students partially gave a significant influence to students’ learning interest, learning attitude, motivation in order to attain academic achievement.

Keywords


Bidikmisi, Evaluation, Education, Descriptive analysis, Multiple regression.

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About this article

Title

Evaluation Policy on Assistance Program Bidikmisi Higher Education in Private Kopertis Region Xii

Keywords

Bidikmisi, Evaluation, Education, Descriptive analysis, Multiple regression.

DOI

10.20448/journal.509.2018.51.1.7

Date

2018-01-09

Additional Links

Manuscript Submission

Journal

Journal of Education and e-Learning Research
Vol 5, No 1 (2018) Page: 1-7

Print ISSN

2518-0169

Online ISSN

2410-9991

Statistics

22 Views | 20 Downloads

Citations

0

Authors & Affiliations

Tahir Wasahua
School of Business, Bogor Agricultural University
Indonesia

Yonny Koesmaryono
Department of Communications Science and Community Development, Faculty of Human Ecology, Bogor Agricultural University
Indonesia

Illah Sailah
School of Business, Bogor Agricultural University
Indonesia


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Journal of Education and e-Learning Research

Online ISSN: 2410-9991  |  Print ISSN: 2518-0169

 

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