Fanny Novika
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ANALISIS MODEL EMPIRIK DALAM MELANJUTKAN STUDI DI PERGURUAN TINGGI DI BIDANG ASURANSI Fanny Novika; Muhammad Irwandi
Premium Insurance Business Journal Vol. 7 No. 1 (2020): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Manajemen Asuransi Trisakti

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Abstract

Empirical analysis is an analysis obtained from data that has been observed by a researcher conducted through an experiment or making data on its own. One empirical analysis used is the Structural Equation Model (SEM). SEM is based on causality, where changes in one variable will change the other variables. One form of relationship patterns can be described through path analysis obtained using the SPSS application. Before the data is analyzed, test the reliability of the data with Cronbach’s Alpha. The experimental data used in this study were the analysis of the factors that cause students to continue their studies in university (economic factors, parental education and family environment) and analysis of the factors that cause students to choose to continue their studies in insurance (welfare factors after graduation and interest). On the data of continuing studies in university, the Cronbach's Alpha score is 0.804 and on the data of continuing study interest is 0.862. Both data are greater than 0.6 so it can be said that both data are reliabel. The data of continuing studies in university, which have the highest level of effect on continuing studies to tertiary education is parental education. In the interest analysis data which has a higher effect to measure interest in continuing studies in the insurance field is the level of economic welfare.
ANALISIS BIPLOT UNTUK RETURN ON ASSET (ROA) DAN RETURN ON EQUITY (ROE) PADA PERUSAHAAN ASURANSI JIWA NASIONAL Fanny Novika; Amelia Saptyarani
Premium Insurance Business Journal Vol. 8 No. 1 (2021): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Manajemen Asuransi Trisakti

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Abstract

Biplot analysis is a type of multivariate analysis used to solve problems or process data that involves many variables. The number of variables in a data often makes it difficult to represent the results. Therefore, Biplot is a media solution for describing the data in the summary table in a two dimensional graph. This analysis can be applied to find out information about the relative position, similarity of characteristics between objects and the diversity of variables or variables in the elements of return on assets and return on equity in national life insurance companies related to aspects of a health assessment and company grouping. The results of the biplot analysis show two categories, namely grouping based on biplot points and year variability. There are differences in the results of national life insurance groupings, namely the AJB Bumiputera 1912 company, Central Asia Raya Life Insurance, Equity Life Indonesia, Heksa Solution Insurance, Jiwasraya Insurance, Indosurya Sukses Life Insurance. Meanwhile, national life insurance companies that have the same characteristics for return on assets and return on equity are divided into 3 (three) groups. In the management aspect, namely related to life insurance companies that are stable and healthy in investing, ROA and ROE are shown by group III. The greatest and most dominant diversity of years for return on assets lies in 2018, while for return on equity, the greatest diversity is in 2019. There is a difference in the results of the variation in ROA and ROE due to the variable used differently. ROA shows aspects of assets consisting of liabilities and equity. If the acquisition of large assets, it can be used to pay corporate liabilities. ROE only shows from the side of equity without paying attention to liabilities.