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All Journal Emerging Statistics and Data Science Journal
Indi, Indina Isyfi Annie Widyan
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Computer Science & IT Mathematics

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Perbandingan Metode Double Exponential Smoothing dan Triple Exponential Smoothing untuk Menganalisis Klaim Asuransi Pada Masa Pandemi Covid-19 (Studi Kasus: Klaim Asuransi PT. BNI Life Insurance Jakarta Tahun 2017 - 2022): Perbandingan Metode Double Exponential Smoothing dan Triple Exponential Smoothing Indi, Indina Isyfi Annie Widyan; Muhammad Hasan Sidiq Kurniawan
Emerging Statistics and Data Science Journal Vol. 1 No. 3 (2023): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol1.iss.3.art40

Abstract

Covid-19, which has become a global pandemic, has had an adverse impact on various industrial sectors. One of them is the insurance industry. During the Covid-19 pandemic, the submission of Health and Life insurance claims increased significantly. Insurance companies need to make maximum preparations. Thus, it is very important for insurance companies to know how the condition of submitting claims was before and during the Covid-19 pandemic. Not only that, but insurance companies also need to know how to submit claims in the next several periods. To find out this, it is necessary to carry out an analysis, namely forecasting analysis. Based on the cases being investigated, the existing claim data shows trend and seasonal patterns. So that the proper forecasting analysis used is Double Exponential Smoothing and Triple Exponential Smoothing. Then, based on research on this case, the Covid-19 pandemic has had an impact on insurance claims since June 2020
Co-Authors Muhammad Hasan Sidiq Kurniawan