Mirza Mayang Safitri, NIM.: 21108030060 (2025) PENGUKURAN TINGKAT EFISIENSI ASURANSI SYARIAH DENGAN MENGGUNAKAN PENDEKATAN DATA ENVELOPMENT ANALYSIS (DEA) DAN STOCHASTIC FRONTIER ANALYSIS (SFA) (STUDI KASUS PERUSAHAAN ASURANSI SYARIAH YANG TERDAFTAR DI AASI TAHUN 2019-2023). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.
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Text (PENGUKURAN TINGKAT EFISIENSI ASURANSI SYARIAH DENGAN MENGGUNAKAN PENDEKATAN DATA ENVELOPMENT ANALYSIS (DEA) DAN STOCHASTIC FRONTIER ANALYSIS (SFA) (STUDI KASUS PERUSAHAAN ASURANSI SYARIAH YANG TERDAFTAR DI AASI TAHUN 2019-2023))
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Text (PENGUKURAN TINGKAT EFISIENSI ASURANSI SYARIAH DENGAN MENGGUNAKAN PENDEKATAN DATA ENVELOPMENT ANALYSIS (DEA) DAN STOCHASTIC FRONTIER ANALYSIS (SFA) (STUDI KASUS PERUSAHAAN ASURANSI SYARIAH YANG TERDAFTAR DI AASI TAHUN 2019-2023))
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Abstract
This study aims to measure the efficiency level of Islamic insurance companies in Indonesia using DEA and SFA approaches, with secondary data from 13 companies in the 2019-2023 period. DEA measures the relative technical efficiency of a company compared to other companies in the same group, while SFA measures efficiency by considering stochastic factors that can affect company performance. The results show that there is high variation in efficiency between companies in DEA, while SFA produces efficiency scores above 60%, tending to be higher than DEA. This research provides practical implications for Islamic insurance companies to improve efficiency through resource optimization, in order to get maximum output so that the efficiency level of Islamic insurance companies can increase.
| Item Type: | Thesis (Skripsi) |
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| Additional Information / Supervisor: | Ratna Sofiana, SH.,M.SI. |
| Uncontrolled Keywords: | Asuransi Syariah, Optimalisasi Sumber Daya, DEA, SFA. |
| Subjects: | 600 Sains Terapan > 650 Business/Bisnis > 658.15 Manajemen Keuangan |
| Divisions: | Fakultas Ekonomi dan Bisnis Islam > Manajemen Keuangan Syariah (S1) |
| Depositing User: | Muh Khabib, SIP. |
| Date Deposited: | 27 Mar 2025 10:53 |
| Last Modified: | 27 Mar 2025 10:53 |
| URI: | http://digilib.uin-suka.ac.id/id/eprint/70608 |
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