Analisis Tingkat Kesehatan Bank Syariah di Indonesia Menggunakan Metode Fuzzy Inference System Takagi-Sugeno-Kang
نویسندگان
چکیده
This study aims to measure the level of accuracy health Islamic banks in Indonesia using RGEC (Risk Profile, Good Corporate Governance, Earning, and Capital) method Takagi-Sugeno-Kang (TSK) Fuzzy Inference System. System is an Artificial Intelligence that can well. The application assessing 12 begins by dividing data into 40 for training 20 testing. inputs used are NPL, LDR, ROA, ROE, NIM CAR. obtained fuzzy system 2014, 2015, 2016, 2017 2018 95.4%, 97.7%, 98.2%, 96.8%, 95.4%. In testing data, value 100%.
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ژورنال
عنوان ژورنال: Banque syar'i
سال: 2023
ISSN: ['2654-5993', '2460-9765']
DOI: https://doi.org/10.32678/bs.v9i1.8041