Dermawana, Muhammad Lungguh (2025) Analisis Efisiensi dan Faktor Pengaruh pada Asuransi Jiwa Syariah Indonesia dan Malaysia dengan Metode Data Envelopment Analysis dan Stochastic Frontier Analysis. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Industri asuransi syariah memainkan peran penting dalam mendukung kesejahteraan masyarakat modern dengan prinsip-prinsip keislaman, khususnya di wilayah Asia Tenggara yang merupakan pasar utama asuransi syariah global. Malaysia, dengan infrastruktur keuangan syariah yang matang, dan Indonesia, sebagai negara dengan populasi Muslim terbesar di dunia. Penelitian ini menggunakan data sekunder dari laporan tahunan perusahaan asuransi syariah di kedua negara pada periode 2019–2023. Metode yang digunakan untuk pengukuran efisiensi dalam penelitian ini adalah nonparametrik Data Envelopment Analysis (DEA) dan metode parametrik Stochastic Frontier Analysis (SFA). Penilaian efisiensi dilakukan menggunakan variabel input berupa ekuitas, total beban, dan total aset, serta output berupa dana tabarru dan pendapatan asuransi. Hasil menunjukkan bahwa beberapa perusahaan mencapai efisiensi penuh pada DEA, sementara SFA menghasilkan nilai efisiensi yang lebih konservatif. Median efisiensi perusahaan Malaysia sedikit lebih tinggi dibandingkan Indonesia, namun perbedaannya tidak signifikan secara statistik. Korelasi positif yang signifikan antara skor efisiensi DEA dan SFA menunjukkan bahwa kedua metode dapat saling melengkapi dalam analisis kinerja. Selain itu, analisis regresi logistik biner digunakan untuk mengidentifikasi faktor yang memengaruhi efisiensi, dengan variabel independen berupa ROA, EAR, ukuran perusahaan (Size), dan negara. Hasil menunjukkan bahwa faktor yang memengaruhi efisiensi berbeda tergantung pendekatan yang digunakan, dalam model DEA, EAR, Size, dan negara berpengaruh signifikan negatif terhadap efisiensi, sementara pada model SFA, tidak ada variabel yang signifikan.
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The Islamic insurance (takaful) industry plays an important role in supporting the welfare of modern society through Islamic principles, particularly in Southeast Asia, which represents a key global market for Islamic insurance. Malaysia, with its well-established Islamic financial infrastructure, and Indonesia, as the country with the largest Muslim population in the world, offer a compelling context for this study. This research utilizes secondary data from the annual reports of Islamic life insurance companies in both countries for the period 2019–2023. The methods used to measure efficiency are the non-parametric Data Envelopment Analysis (DEA) and the parametric Stochastic Frontier Analysis (SFA). Efficiency assessment was conducted using input variables consisting of equity, total expenses, and total assets, and output variables consisting of tabarru' funds and insurance income. The results show that several companies achieved full efficiency under the DEA model, while the SFA model produced more conservative efficiency scores. On median, Malaysian companies demonstrated slightly higher efficiency than those in Indonesia, although the difference was not statistically significant. A significant positive correlation between DEA and SFA efficiency scores indicates that both methods can complement each other in performance analysis. Furthermore, binary logistic regression was employed to identify the factors influencing efficiency, using ROA, EAR, firm size (Size), and country as independent variables. The results reveal that the significant determinants of efficiency vary depending on the approach used, in the DEA model, EAR, Size, and Country have a significant negative effect on efficiency, whereas in the SFA model, none of the variables are statistically significant.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Data Envelopment Analysis (DEA), Efficiency, Islamic Life Insurance, Stochastic Frontier Analysis (SFA), Asuransi Jiwa Syariah, Data Envelopment Analysis (DEA), Efisiensi, Stochastic Frontier Analysis (SFA). |
| Subjects: | H Social Sciences > HA Statistics > HA31.38 Data envelopment analysis. H Social Sciences > HG Finance > HG8771 Life insurance Q Science > QA Mathematics > QA274.2 Stochastic analysis Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression T Technology > T Technology (General) > T57.74 Linear programming T Technology > T Technology (General) > T58.8 Productivity. Efficiency |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Actuaria > 94203-(S1) Undergraduate Thesis |
| Depositing User: | Muhammad Lungguh Dermawana |
| Date Deposited: | 31 Jul 2025 08:20 |
| Last Modified: | 31 Jul 2025 08:20 |
| URI: | http://repository.its.ac.id/id/eprint/122973 |
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