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Elderly Perceptions and Barriers in Accessing Digital Health Services: A Case Study in Tanjung Jaya Village, Panimbang District Putra S, Deva; Okta Y, Setyo Luthfi
International Journal of Health, Medicine, and Sports Vol. 2 No. 4 (2024): International Journal of Health, Medicine, and Sports
Publisher : Corespub

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhms.v2i4.149

Abstract

In the era of rapid digitalization, digital health services such as telemedicine and health applications have become essential tools for improving healthcare access, especially for vulnerable groups like the elderly. However, older adults often face various challenges when attempting to access these services, including issues related to digital literacy, physical limitations, and concerns over data security. This study aims to explore the perceptions of elderly individuals in Tanjung Jaya Village, Panimbang District, towards digital health services and the barriers they encounter. Using a qualitative approach, in-depth interviews were conducted with 12 elderly participants who had experience with or knowledge of digital health services. The findings reveal that most participants have a neutral perception of digital health services, with some expressing concerns over the complexity of technology and the security of their personal data. The primary barriers identified include low digital literacy, physical limitations, and a lack of trust in digital platforms. Solutions suggested by participants include direct training, assistance from family or medical staff, and the development of elderly-friendly applications. These findings highlight the need for tailored support and more accessible, user-friendly digital health services for older adults to enhance their engagement and improve their health outcomes.
The Role of Technology in the Development of Digital Linguistics: Syntactic and Semantic Analysis in the Era of Artificial Intelligence Putra S, Deva; Nurnisaa AS
International Journal of Linguistics, Communication, and Broadcasting Vol. 2 No. 4 (2024): International Journal of Linguistics, Communication, and Broadcasting
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijlcb.v2i4.160

Abstract

This study explores the impact of Artificial Intelligence (AI) and Natural Language Processing (NLP) on the field of digital linguistics, with a focus on syntactic and semantic analysis, machine translation, and sentiment analysis. The research aims to evaluate the performance of three advanced AI models GPT-3, BERT, and RoBERTa in these areas. The study employs a mixed-methods approach, combining both qualitative and quantitative analyzes to assess the models' abilities to process complex sentence structures, understand word meanings, translate between languages, and detect sentiments in text. The results indicate that GPT-3 outperforms BERT and RoBERTa in most tasks, achieving the highest accuracy in syntactic analysis, semantic analysis, and machine translation. However, all models face challenges, particularly in handling semantic ambiguity, figurative language, and culturally specific contexts. Despite these limitations, the findings highlight the potential of AI in advancing linguistic research and the need for further development to address the complexities of human language, including its social, cultural, and emotional dimensions.