Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Matematika UNAND Mutanaqishah: Journal of Islamic Banking
Yunaita Rahmawati
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Strategy for Resolving Problematic Financing Using Restructuring Methods Through Ta'awun Principles at Bank Syariah Indonesia Magetan 2 Nirma Wulandari; Yunaita Rahmawati
Mutanaqishah: Journal of Islamic Banking Vol. 3 No. 2 (2023): December 2023
Publisher : Department of Islamic Banking

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54045/mutanaqishah.v3i2.1002

Abstract

Financing is one of the activities in the banking world that can be enjoyed by the public. In the process of carrying out every banking transaction activity, of course, there will be problems that occur. Financing problems that often occur include credit or installment problems made by customers, known as NPF. This research aims to analyze the causes of NPF, analyze the handling of NPF, and analyze the impact of NPF, as well as the impact of handling NPF using restructuring through the ta'awun principle on the Bank and customers. This research uses a descriptive qualitative approach. The results of this research show that the causes of problematic financing consist of several factors, namely the customer's poor character and disasters or misfortunes that befall the customer. The restructuring mechanism through the ta'awun method at BSI KCP Magetan 2 was carried out using a directed procedure. The positive impacts of implementing the restructuring method are (a) maintaining customer trust in the bank; (b) the bank has a good reputation; and (c) restructuring is considered to have saved financing problems that might otherwise occur. The negative impacts are (a) making the bank must do work repeatedly. Because the financing that had been distributed to customers experienced a bottleneck, the bank had to carry out investigations with customers to find out what happened.
CLASSIFICATION OF GENDER INEQUALITY IN INDONESIA: UNSUPERVISED AND SUPERVISED LEARNING APPROACHES Nurhidayati, Maulida; Yunaita Rahmawati; Ajeng Wahyuni
Jurnal Matematika UNAND Vol. 15 No. 1 (2026)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.15.1.108-122.2026

Abstract

Gender inequality in Indonesia is a multidimensional problem that has a wide impact on human development. This study aims to model and classify the level of gender inequality between provinces in Indonesia with a combined approach of unsupervised and supervised learning. Secondary data from 38 provinces in 2024 were analyzed using five methods: K-Means, Self-Organizing Map (SOM), hybrid SOM-KMeans, Support Vector Machine (SVM), and Logistic Regression. In the unsupervised approach, the SOM and SOM-KMeans methods show better cluster coherence than K-Means. In the supervised approach, the SVM method provides better classification performance compared to logistic regression. Overall, SVM was obtained with the highest accuracy, which was 89.47%, surpassing other methods. This research makes a methodological contribution to the use of machine learning for spatial-based gender inequality risk mapping, as well as implications for more precise and adaptive data-based policymaking.
Co-Authors Ajeng Wahyuni Nirma Wulandari Nurhidayati, Maulida