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Neural network in the learning material recommendation system based on individual learning styles Ramdani, Akbar
Asian Journal of Multidisciplinary Research Vol. 1 No. 6 (2025): Asian Journal of Multidisciplinary Research
Publisher : Jujurnal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/bx2b5q38

Abstract

Technological developments in education have encouraged innovations in learning systems that are more adaptive and personalized. One of the approaches that is growing rapidly is the Neural Network-based learning material recommendation system, which can adapt the material to individual learning styles. Each student has a unique learning style, such as visual, auditory, and kinesthetic, which affects the effectiveness of their understanding of the material. This study aims to analyze how the Neural Network-based recommendation system can optimize the learning experience of students by adjusting learning materials based on individual learning styles. Specifically, this study explores how the Neural Network model identifies students' learning styles, evaluates the effectiveness of the recommendations provided by the system, and examines the challenges and opportunities in its application in educational settings. This study uses a qualitative approach with the literature review method. Data were collected from various scientific journals, books, and conference proceedings discussing the implementation of Neural Networks in the learning recommendation system. The analysis shows that the Neural Network-based system can improve student engagement and understanding through material recommendations that are more suitable for individual learning styles. However, challenges such as student data protection, bias in recommendations, and integration with formal curricula are still major obstacles. With the development of increasingly advanced technology, this system has great potential to be adapted more widely in the world of education.
Literature as Social Critique: Examining Class Struggle and Inequality in Contemporary Indonesian Fiction Ramdani, Akbar
Journal of Mandalika Social Science Vol 3 No 1 (2025): Journal of Mandalika Social Science
Publisher : Mandalika Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/jomss.v3i1.252

Abstract

Literature serves not only as an aesthetic medium, but also as a reflection and critique of complex social realities. This article aims to examine how contemporary Indonesian fictional literary works represent class struggles and social inequality as part of the discourse of social criticism. This research uses a qualitative approach with a library research method on a number of post-reform Indonesian novels that raise the theme of poverty, marginalization, and structural inequality. The analysis was carried out by utilizing social criticism theory and literary sociology approaches to identify narratives of resistance, power, and inequality that appear in literary texts. The results of the study show that these works not only voice the socio-economic conditions of marginalized groups, but also offer a space for readers to re-reflect on the unequal social structure. Indonesian contemporary fiction writers use characters, plots, and settings as narrative strategies to raise social issues symbolically and ideologically. Thus, literature plays a role as a tool for transforming social consciousness that is able to penetrate the formal boundaries of education and mainstream media. This article recommends the need to strengthen interdisciplinary studies between literature and social sciences to better understand the relationship between texts, society, and social change in contemporary Indonesia.