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All Journal International Journal of Research in Community Services International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research
Nestia Lianingsih
Master's Program of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Jatinangor, West Java, Indonesia
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Transportation Other

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Comparison of LSTM and ARIMA-GARCH Models in Predicting Stock Price Volatility of Islamic Banking in Indonesia Alim Jaizul Wahid; Rizki Apriva Hidayana; Nestia Lianingsih
International Journal of Quantitative Research and Modeling Vol. 7 No. 2 (2026): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v7i2.1327

Abstract

Stock price volatility is one of the most critical investment risk indicators, particularly in Islamic banking stocks that face the dual challenges of conventional capital market dynamics and compliance with Islamic principles. This study compares the predictive performance of two modeling approaches: Long Short-Term Memory (LSTM), a deep learning architecture based on Recurrent Neural Networks, and the classical econometric ARIMA-GARCH model, in predicting stock price volatility of four Islamic banking issuers in Indonesia, namely BRIS (Bank Syariah Indonesia), BSIM (Bank Sinarmas Syariah), PNBS (Bank Panin Dubai Syariah), and BTPNS (Bank BTPN Syariah), for the period 2019–2024. Daily closing price data was obtained from the Indonesia Stock Exchange (IDX). The ARIMA-GARCH model was built through the stages of identification, estimation, and Box-Jenkins diagnostic testing, while the LSTM model was optimized through hyperparameter tuning with a 60-day rolling window. Predictive performance was evaluated using Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). The results show that the LSTM model consistently produces lower MAPE values than ARIMA-GARCH for all issuers studied, especially during periods of high volatility such as the COVID-19 pandemic (2020) and global interest rate instability (2022–2023). However, the ARIMA-GARCH model provides better interpretability and is more stable under calm market conditions. This research contributes to the literature on Sharia-based quantitative finance in Indonesia and provides practical implications for investors and risk managers.
A Conceptual Framework for Enhancing Community Economic Independence through Capacity-Building Training and MSME Development Mugi Lestari; Nestia Lianingsih
International Journal of Research in Community Services Vol. 7 No. 2 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i2.1294

Abstract

Building community economic independence is a strategic priority for achieving inclusive and sustainable development, particularly in developing regions where access to economic resources remains unequal. This study aims to develop a conceptual framework that integrates capacity-building training and micro, small, and medium enterprise (MSME) development as key drivers of community economic empowerment. The research employs a qualitative approach based on systematic literature review and conceptual synthesis to identify the main variables and relationships influencing economic independence. The findings indicate that capacity-building training plays a fundamental role in enhancing entrepreneurial capacity, including knowledge, skills, attitudes, and self-efficacy. This improvement subsequently contributes to MSME development, reflected in increased productivity, innovation, business growth, and financial performance. Furthermore, the relationship between capacity building and MSME development is strengthened by mediating factors such as social capital, mentoring, and institutional support, which facilitate collaboration and resource accessibility. External factors, including government policies, access to finance, and digitalization, also influence the effectiveness of these relationships. The study concludes that community economic independence is achieved through a comprehensive and integrated process involving internal capacity development and external ecosystem support. The proposed conceptual framework provides both theoretical and practical contributions by offering a systematic approach to designing sustainable community empowerment programs.
Enhancing Micro, Small, and Medium Enterprises' Promotional Capacity through Canva-Based Digital Content Design Training: A Visual Branding Consistency and Post-Training Engagement Approach in Kota Banjar, West Java, Indonesia Setyo Luthfi Okta Yohandoko; Nestia Lianingsih; Kiki Zakaria
International Journal of Research in Community Services Vol. 7 No. 2 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i2.1352

Abstract

Micro, Small, and Medium Enterprises (MSMEs), locally known as UMKM, contribute more than 61% of Indonesia's Gross Domestic Product and absorb approximately 97% of the national workforce (Kementerian Koperasi dan Usaha Kecil dan Menengah Republik Indonesia, 2024; Kementerian UMKM Republik Indonesia, 2025), yet a large proportion of business owners still struggle to produce professional promotional content because of limited digital design skills, time, and budget. This community service program addressed that gap by delivering a structured Canva-based digital content design training to 30 MSME actors in Kelurahan Hegarsari, Kecamatan Pataruman, Kota Banjar, West Java. Unlike most previous Canva-training community service reports, which generally evaluate outcomes through a single pretest-posttest knowledge score, this program introduced two additional evaluation instruments: a five-indicator Visual Branding Consistency (VBC) rubric to assess the strategic quality of participants' design outputs, and a four-week post-training monitoring phase tracking participants' actual social media posting frequency and engagement performance. The training was designed using the ADDIE instructional model (Analysis, Design, Development, Implementation, Evaluation) and interpreted through Diffusion of Innovation theory (Rogers, 2003) and the Technology Acceptance Model (Davis, 1989). Results showed a statistically significant increase in mean knowledge score from pretest (52.4) to posttest (81.7), t(29) = 14.62, p < .001; an average Visual Branding Consistency score of 78.3 out of 100; and, during the four-week follow-up, a 143% increase in weekly content-posting frequency together with a rise in the average engagement rate from 1.6% to 4.9%. These findings indicate that combining hands-on Canva training with a structured branding-consistency assessment and short-term post-training assistance produces more durable digital-marketing capacity among MSME actors than a single training session evaluated only through immediate knowledge gain. The program offers a replicable, low-cost model that other community service teams and local governments can adapt to accelerate MSME digitalization in similar semi-urban districts of Indonesia.
Mathematical Literacy in School Mathematics Learning: A Literature Review of Challenges and Instructional Strategies Rizki Apriva Hidayana; Siti Hadiaty Yuningsih; Nestia Lianingsih
International Journal of Ethno-Sciences and Education Research Vol. 6 No. 2 (2026): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v6i2.1280

Abstract

Mathematical literacy is one of the essential competencies that needs to be developed in school mathematics learning, as it plays an important role in equipping students to understand, interpret, and use mathematical concepts in various real-life situations. However, the development of mathematical literacy in learning practice still faces several challenges, such as the dominance of procedure-oriented instruction, the limited connection between mathematical content and everyday life contexts, and the lack of instructional strategies that promote students’ reasoning, problem-solving, and critical thinking. This article aims to examine the importance of mathematical literacy in school mathematics learning, identify the challenges encountered in its development, and describe various strategies that can be applied to support the improvement of students’ mathematical literacy. This article employs a literature review approach by examining various relevant scholarly sources related to mathematical literacy, mathematics learning, and instructional strategies. The results of the review indicate that the development of mathematical literacy can be supported through the implementation of contextual learning, problem-based learning, the use of non-routine problems, the strengthening of mathematical representation skills, and the integration of activities that encourage students’ mathematical reasoning and communication. Therefore, mathematical literacy needs to be positioned as a primary orientation in mathematics learning so that students are not only able to solve problems procedurally, but also able to use mathematics meaningfully in everyday life.
Co-Authors Alim Jaizul Wahid Kiki Zakaria Mugi Lestari Rizki Apriva Hidayana Rizki Apriva Hidayana Setyo Luthfi Okta Yohandoko Siti Hadiaty Yuningsih