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Multi Level Pengabdian Masyarakat Program Studi Tadris Matematika Universitas Islam Negeri Sulthan Thaha Saifuddin Jambi melalui Rumah Pintar Integrasi Vinny Yuliani Sundara; Zawaqi Afdal Jamil; Rini Warti; Ali Usmar
Jurnal Pengabdian Pada Masyarakat Vol 6 No 1 (2021)
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/002.202161.451

Abstract

MULTI LEVEL COMMUNITY SERVICE DEPARTEMENT OF MATHEMATICS EDUCATION AT THE STATE ISLAMIC UNIVERSIY OF SULTHAN THAHA SAIFUDDIN JAMBI THROUGH RUMAH PINTAR INTEGRASI. Departement of Mathematics Education has a forum for community service namely Rumah Pintar Integrasi (RPI). The lecture method is used for multi-level knowledge transfer. The implementation of this community service program has produced results, namely the formation of the RPI with the Decree of the Dean of the Faculty of Tarbiyah and Teachers of the State Islamic University of Sulthan Thaha Saifuddin Jambi Number 223 Year 2019 regarding the Establishment of RPI Management and was officially launched and symbolized cutting ribbon by Deputy Dean II. Activities to improve understanding of mathematical concepts have been carried out and obtained results that there is a significant increase between the pretest and posttest scores. The community service activity of the Department of Mathematics Education was carried out in January 2020 with the concept of students giving free tutoring to "SD / MI" schools in preparation for the UN. There are around 200 students spread in 147 elementary schools in Jambi Province and even in other provinces. implemented multi-level community service in mathematics education majors.
BEST FORECASTING FOR THE CAPITAL ADEQUACY RATIO OF THE FINANCIAL PERFORMANCE OF ISLAMIC COMMERCIAL BANKS IN INDONESIA Vinny Yuliani Sundara; Nurniswah; Fadhlul Mubarak; Atilla Aslanargun
Referensi Islamika: Jurnal Studi Islam Vol. 4 No. 3 (2026): JUNI
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/ri.v4i3.526

Abstract

This study aims to determine the best forecasting method for CAR by comparing three approaches, namely automatic autoregressive integrated moving average (auto-ARIMA), multilayer perceptron (MLP) neural networks, and ensemble method and to see their relationship to resilience, prudence, public trust, and stability of Islamic banking institutions. The CAR data used is monthly time series data published by the Financial Services Authority (OJK) in Indonesia for the period 2015-2025. Training and testing data are used to evaluate forecasting performance using mean absolute error (MAE), mean squared error (MSE), and mean absolute percentage error (MAPE). Forecasting results using the auto-ARIMA (0,1,0) model, the best method, confirmed that CAR is on a stable and sustainable path. This finding reinforces CAR's role as a multidimensional indicator linking financial performance, institutional resilience, sharia compliance, prudence, and social responsibility of Islamic banks to the community. The accuracy of this forecasting has direct implications for strengthening Islamic banking governance by increasing capital resilience in the face of future economic shocks. The ability to accurately predict CAR allows management to prioritize prudent principles in financing distribution, thereby mitigating the risk of systemic failure. Furthermore, well-planned capital ratio stability will strengthen public confidence in the security of funds in Islamic financial institutions. Reliable CAR forecasting not only supports managerial decision-making, but also contributes to strengthening the stability and credibility of Islamic banking as an institution responsible for society and the economy in Indonesia.