Article Per Year (5 Year)
p-Index From 2021 - 2026
2.552
P-Index
This Author published in this journals
All Journal PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika Desimal: Jurnal Matematika JTAM (Jurnal Teori dan Aplikasi Matematika) Mathvision : Jurnal Matematika GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Tekno Kompak Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Visi Pengabdian Kepada Masyarakat International Journal of Engagement and Empowerment (IJE2) FARABI: Jurnal Matematika dan Pendidikan Matematika Premium: Insurance Business Journal International Journal of Multidisciplinary Research and Literature (IJOMRAL) Journal of Computer Science and Informatics Engineering PIKAT Jurnal Pengabdian Masyarakat Ilmu Komputer
Novika, Fanny
Unknown Affiliation
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Premium: Insurance Business Journal

 1 
Sistem Pakar Rekomendasi Produk Asuransi Jiwa Berdasarkan Profil Nasabah menggunakan Algoritma Forward Chaining Istiqomah, Nalar; Novika, Fanny
Premium Insurance Business Journal Vol. 11 No. 1 (2024): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : P3M Trisakti School of Insurance (TSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35904/premium.v11i1.59

Abstract

The aim of this research is to build a web-based expert system that can provide life insurance product recommendations. This expert system can be used to help people choose life insurance products that suit their own profile. This research began by conducting a literature study to determine the type of life insurance product and compiling a questionnaire which would later be given to experts. The results of this questionnaire are used as the basis for expert system knowledge which will later be processed using a forward chaining algorithm. From this process, 6 rules were obtained that can be used to recommend life insurance products. After the rules are obtained, a web based expert system is built using the PHP programming language. The expert system was tested using the black box method. From the test results, it is known that the system can carry out its functions well. Therefore, the website can be published on the internet and can be accessed at consurence.id.
ANALISIS MODEL EMPIRIK DALAM MELANJUTKAN STUDI DI PERGURUAN TINGGI DI BIDANG ASURANSI Novika, Fanny; Irwandi, Muhammad
Premium Insurance Business Journal Vol. 7 No. 1 (2020): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : P3M Trisakti School of Insurance (TSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (673.176 KB)

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 Novika, Fanny; Saptyarani, Amelia
Premium Insurance Business Journal Vol. 8 No. 1 (2021): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : P3M Trisakti School of Insurance (TSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.509 KB)

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.
Analisis Tingkat Suku Bunga pada Tarif Premi Tunggal Bruto Produk Asuransi Jiwa Kredit Namiera, Adinda; Novika, Fanny; Kusdani, Dedi
Premium Insurance Business Journal Vol. 9 No. 2 (2022): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : P3M Trisakti School of Insurance (TSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35904/premium.v9i2.33

Abstract

Asuransi Jiwa Kredit adalah produk asuransi jiwa yang memberikan manfaat berupa pelunasan kredit kepada pemberi pinjaman apabila debitur atau tertanggung meninggal dunia dalam periode asuransi. Premi asuransi jiwa kredit dihitung berdasarkan nilai kini dari manfaat asuransi yang akan diterima oleh tertanggung. Selain besar manfaat, salah satu faktor yang memengaruhi perhitungan premi adalah penetapan tingkat suku bunga. Peneliti ingin mengetahui perubahan suku bunga terhadap perhitungan tarif premi bruto asuransi jiwa kredit dan ingin mengetahui tingkat suku bunga ideal dalam pembentukan tarif premi bruto yang memenuhi prinsip-prinsip penetapan tarif premi dengan menggunakan metode komutasi (deterministic) dengan Tabel Mortalita IV tahun 2019 dengan tingkat suku bunga dari 2% sampai dengan 10% dengan kenaikan 0.5%, biaya akuisisi sebesar 10%, biaya administrasi sebesar 10%, profit margin sebesar 15% dan biaya operasional sebesar 0,05%. Untuk mencari suku bunga yang ideal, penelitian ini menggunakan analisis Procrustes dengan melakukan perbandingan dengan rate asuransi yang ada di perusahaan asuransi. Dari hasil analisa didapatkan adanya fluktuasi tingkat suku bunga terhadap perhitungan premi bruto asuransi jiwa kredit. Tingkat Suku bunga ideal yang didapatkan dari ukuran kemiripan Procrustes terbesar dari hasil perhitungan menggunakan metode komutasi (deterministik) yaitu suku bunga teknik 2% (untuk laki-laki) dan 7,5% sampai dengan 10% (untuk perempuan).
Co-Authors Amalina, Anvika Nur Awaloeddin, Mulawarman Chalista, Bunga Fandayani, Enno Karina I Made Indra Irwandi, Muhammad Istiqomah, Nalar Japari Antony Karina, Enno Kusdani, Dedi Lie, Antonius Anton Mahmudi Mahmudi Marsanto, Budi Maulidi, Ikhsan Muhamad Syazali Nalar Istiqomah Namiera, Adinda Nike Septivani P, I Made Indra Rahmadhianty , Nadya Rosmayanti, Melinia Saptyarani, Amelia Suryamika, Putu Egawastu Vina Apriliani