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All Journal Milestone: Journal of Strategic Management JEELS (Journal of English Education and Linguistics Studies)
Sembel, Sandra
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Education Languange, Linguistic, Communication & Media Social Sciences

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PREDICTION OF HEALTH INSURANCE PRODUCT PURCHASE ALLOCATION IN VARIOUS INDUSTRIES IN INDONESIA USING THE RANDOM FOREST METHOD Achmadi, Hendra; Naibaho, Eduard Ary Binsar; Sembel, Sandra; Lusmeida, Herlina
Milestone: Journal of Strategic Management Vol. 4 No 2 September 2024
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/ms.v4i2.8752

Abstract

The objective of this research is identifying which industry can absorb the product of wealth management such as health insurance. Secondly is to identify what the most factors important to determine closing the health insurance premium. The life insurance penetration and density in Indonesia is the lowest level among the Asian country, so the data population in this research is from 38 different companies from different types of industries with 143 data sample, by using the purposive sampling. Most factors which influence the purchasing of health insurance are Listrik, Industry, domicile, age and position, whether the industry that the most contribution for the health insurance sales is banking and education industry. The methodology that is used in this research is called CRIPS-DM (Cross Industrial Standards Program Data Mining). The first steps what is the purpose of the organization, and the second is what data that needed, and continue to data preparation, after modeling, it will make an interpretation of the result, and the final steps is deployment, it will plan how it will be implemented in the real world, and the accuracy score from this model is 58%. From the result of the projection closing health insurance from each industry, it can be concluded that the most industry that closed the health insurance is Banking Industry, the second is from insurance and the third is education and the next is education, retail, health, manufacturing and finance, hospitality, legal, publishing, technology and government and service industries.
PREDICTION OF HEALTH INSURANCE PRODUCT PURCHASE ALLOCATION IN VARIOUS INDUSTRIES IN INDONESIA USING THE RANDOM FOREST METHOD Achmadi, Hendra; Naibaho, Eduard Ary Binsar; Sembel, Sandra; Lusmeida, Herlina
Milestone: Journal of Strategic Management Vol. 4 No 2 September 2024
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/ms.v4i2.8752

Abstract

The objective of this research is identifying which industry can absorb the product of wealth management such as health insurance. Secondly is to identify what the most factors important to determine closing the health insurance premium. The life insurance penetration and density in Indonesia is the lowest level among the Asian country, so the data population in this research is from 38 different companies from different types of industries with 143 data sample, by using the purposive sampling. Most factors which influence the purchasing of health insurance are Listrik, Industry, domicile, age and position, whether the industry that the most contribution for the health insurance sales is banking and education industry. The methodology that is used in this research is called CRIPS-DM (Cross Industrial Standards Program Data Mining). The first steps what is the purpose of the organization, and the second is what data that needed, and continue to data preparation, after modeling, it will make an interpretation of the result, and the final steps is deployment, it will plan how it will be implemented in the real world, and the accuracy score from this model is 58%. From the result of the projection closing health insurance from each industry, it can be concluded that the most industry that closed the health insurance is Banking Industry, the second is from insurance and the third is education and the next is education, retail, health, manufacturing and finance, hospitality, legal, publishing, technology and government and service industries.
Nursing Students' Perceptions of English as A Lingua Franca Situmorang, Komilie; Sembel, Sandra
JEELS (Journal of English Education and Linguistics Studies) Vol. 6 No. 2 (2019): JEELS November 2019
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil, Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/jeels.v6i2.1350

Abstract

Provoked by the Faculty of Nursing’s graduate career prospective, ‘nurse in international nursing services’, this study aimed to investigate the Englishes nursing students were in favour of and the Englishes they needed for their future career and to find out their perceptions toward English as a Lingua Franca (ELF). Taking the form of a case study, this study collected data through open-ended questionnaires and semi-structured interviews. The findings generally highlighted paradoxes in participants’ views of ELF. Students were found to be in favour of Standard English (SE), although in the future what they truly expected from patients was the intelligibility to create therapeutic conversation. Furthermore, the participants seemed to be aware of the variety of Englishes in existence but believed that SE should be taught in class. This study also found out that local accents speak for their cultural identity. Therefore, the implication of the study calls for attention to the potential benefits of introducing ELF and provides some recommendation of how ELF could be best introduced at classrooms.
Co-Authors Eduard Ary Binsar Naibaho Hendra Achmadi, Hendra Herlina Lusmeida SITUMORANG, KOMILIE