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Sosialisasi Peranan Profesi Aktuaris pada Industri Asuransi dan Asuransi untuk Kehidupan kepada Masyarakat Cikarang Maria Yus Trinity Irsan; Lina Rosmawati; Fauziah Nur Fahirah Sudding
ACADEMICS IN ACTION Journal of Community Empowerment Vol 1, No 2 (2019)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/aia.v1i2.852

Abstract

Actuarial science study program is a new study program in Indonesia. Recently many universities in Indonesia have opened the study program. Currently, Indonesia needs more actuary, this is one of the reasons for the existence of the actuarial science study program in Indonesia. However, many Indonesians do not know about the actuary and actuarial science field. Besides that, most Indonesians have not realized the importance of insurance for our life. The socialization about actuary and insurance is one of the ways to introduce actuary and increase the insurance awareness to the people in Indonesia, especially in Cikarang. This event went by distributing pamphlet and giving a short explanation to the respondent about actuary, insurance, and the relationship between them.
Logistic Regression Analysis of Demographic and Vehicle Condition for Purchasing Vehicle Insurance Gabriel Azhar; Muhammad Cahirul Rahman; Rosyid Nur Salam; Fauziah Nur Fahirah Sudding
Journal of Actuarial, Finance, and Risk Management Vol 1, No 1 (2022)
Publisher : Journal of Actuarial, Finance, and Risk Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jafrm.v1i1.3673

Abstract

Insurance is a contract, represented by a policy, in which an individual or entity receives financial protection or reimbursement against losses from an insurance company. Insurance policies are used to hedge against the risk of financial losses, both big and small, that may result from damage to the insured or her property, or from liability for damage or injury caused to a third party. Building a model to predict whether a customer would be interested in Vehicle Insurance is extremely helpful for the company because it can then accordingly plan its communication strategy to reach out to those customers and optimize its business model and revenue. In this research, we use the secondary data that collected in India in 2020, which analyzes vehicle condition, demographics, and owning a driver’s license on vehicle insurance buying interest. The method used in this research is the Logistic Regression, the response variable is the Response (of buying vehicle insurance interest), and the independent variables are Gender, Driving License, Previously Insured, Vehicle Age, and Vehicle Damage. The result of this research showed that the Previously Insured, Vehicle Age, and Vehicle Damage have a correlation to the Response.