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Satia Nur Maharani
Universitas Negeri Malang
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Journal : Journal of Applied Data Sciences

 1 
Bank Soundness Level Prediction: ANFIS vs Deep Learning Maharani, Satia Nur; Sugeng, Bambang; Makaryanawati, Makaryanawati; Ali, Mohammad Mahbubi
Journal of Applied Data Sciences Vol 4, No 3: SEPTEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i3.116

Abstract

The systemic nature of the risk of bankruptcy of financial institutions has become an important issue in maintaining the existence and stability of domestic and global finance. The use of statistics for bankruptcy prediction so far provides optimal benefits. However, this approach has limitations, especially since the model is built based on systematic relationships, so the linearity and normality aspects are often weaknesses. This can be overcome very efficiently through linear and non-linear patterns built by artificial intelligence models. One of the most popular of these techniques is the Artificial Neural Network (ANN). Many studies show that ANN and fuzzy set theory is more accurate, adaptive, and strong in predicting compared to statistical models. One technique to integrate ANN with fuzzy logic systems is through the Adaptive-Network-Based Fuzzy Inference System (ANFIS). ANFIS is an adaptive network that is functionally equivalent to fuzzy inference and has the advantages of ANN and fuzzy logic. One of the important features of ANFIS is its acclimatization capability where the membership function parameters can adapt and change in the learning procedure. Utilizing the ANN model and fuzzy logic for bankruptcy prediction is still very limited in Indonesia. Therefore, this study aims to construct a financial institution bankruptcy prediction model that is much more accurate, operational quickly, and effective through ANFIS as a hybrid of fuzzy logic and ANN. The results showed that ANFIS can be used to predict the bankruptcy of financial institutions with the best MAPE 0.140335507.
Co-Authors Adim Firmansah Adim Firmansah Agusta Rakhmat Taufani Ahmad Munjin Nasih Ahmad Taufiq Ali, Mohammad Mahbubi Amelia Sugangga Andrianto, Ahmad Anisa Tus Saidah Annisa Firly Aprilia Putri Arfienda Miawa Tyassilva Aria Wibawa Arifudin Arifudin Arifudin Arini Arini Arini Arini Aripriharta - Bambang Sugeng Bayu Teguh Imani Bayu Teguh Imani Bellini Munezero Betty Wulansari Christine Desideria Jahi Cipto Wardoyo Dhika Maha Putri Djoewita Djoewita Dodik Juliardi Dwi Narullia Eka Ananta Sidharta Erif Nurhuda Etika Novitasari Fauzan, M Slamet Fitriyah Fitriyah Fulgentius Danardana Murwani Gunibala, Zakir Yusuf Guntur Kusuma Wardana Hadi, Sholihul Harisuddin, Imam Hendra Susanto Heny Kusdiyanti, Heny Heru Wahyu Herwanto Imam Alfianto Imani, Bayu Teguh Islamiyati, Nur Jayana, Nur Kholis Perwita Juwairia, Juwairia Kusumaningrum, Irma Kartika Lestari, Nopfiana Lina, Hanifa Nada Ludi Wishnu Wardana Maghfiroh Maghfiroh Makaryanawati Mokh Sholihul Hadi Muhammad Afnan Habibi Muhiban Syabani Nabilah, Zahidah Ismah Nafisah, A’isy Fiklil Nandang Mufti Nopfiana Lestari Nopfiana Lestari Novitasari, Etika Puji Handayati Qonita Ria Zulkha Ermayda Ridoni Fardeni Harahap RR. Ella Evrita Hestiandari Safitri, Titis Dyah Septiani, Rizki Setya Ayu Rahmawati Sheila Febriani Putri Sholihul Hadi Siti Mariyah SITI MARIYAH Slamet Fauzan Sri Pujiningsih Subandi Subandi Sunaryono Syihhabudin Syihhabudin Syukriyah Syukriyah Syukriyah Syukriyah Tamara Fitri Andansari Triadi Agung Sudarto Vitmiasih, Vitmiasih Wening Patmi Rahayu Yazid, Muhammad Zainul Abidin