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This Author published in this journals
All Journal Journal of Educational Analytics International Journal of Economics, Business Management and Accounting
Felicia
Universitas Pelita Harapan
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Other

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Exploring Secondary School Performance by Using Machine Learning Algorithms Felicia; Ferren
Journal of Educational Analytics Vol. 1 No. 1 (2022): May, 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (886.013 KB) | DOI: 10.55927/jeda.v1i1.429

Abstract

Education is an important factor to achieve a better life and to help the economy. There are lots of levels of education and the education level that we will analyze is secondary education. Secondary education provides lots of benefits, starting from knowledge and skills, training in attitudes, instincts, and ensuring students will get a job after graduating. Not only that, but Portuguese secondary education also guides the development of the students so they will be well prepared for work and real-life situations. The educational level of Portuguese has also improved from last decades because in the past, lots of students failed and this causing failure rates is increasing. The failures are caused by Mathematics which are the core subjects. Because of this, Portuguese schools are still monitoring students who didn’t pass yet by using the data. We will analyze using 3 operators (i.e. Generalized Linear Model , Random Forest, Naive Bayes) and found out that past grades, demographic, and several attributes play a role in education (Cortez & Silva, 2008). We also found that Naive Bayes method has a high accuracy. The goal of these projects is to identify what makes education successful and fail and to aim for any new prediction.
Analyzing the Impact of Store’s Reputation, Product Price, and Service Standards Towards Customer Repurchase Decision at Brastagi Supermarket (Gatot Subroto Street, Medan) Karisha Christie; Felicia
International Journal of Economics, Business Management and Accounting (IJEBMA) Vol. 1 No. 1 (2019): January 2019
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijebma.v1i1.219

Abstract

Study This aim For know influencing factors _ application standard accountancy finance entity without accountability public . Population palace researcher This is whole cooperative active in the city of Bogor. Whereas For sample study are 83 cooperatives use purposive sampling method . Data analysis technique used in study This is analysis multiple linear regression . Research results show that level education part finance cooperative , age effort , socialization of SAK ETAP and understanding accountancy influential positive and significant in a manner simultaneous to application of SAK ETAP.
Co-Authors Ferren Karisha Christie