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Artificial Intelligence (AI) Usage In Today’s Teaching And Learning Process: A Review Aisyah Nurjanah; Irma Nuraeni Salsabila; Adelia Azzahra; Riska Rahayu; Nina Marlina
Syntax Idea 1517-1523
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntax-idea.v6i3.3126

Abstract

In today's technology world, the integration of artificial intelligence (AI) has become increasingly prominent in education, with enormous potential to improve the teaching and learning experience. AI, defined by its ability to imitate human intelligence, possesses enormous power and has the potential to dramatically impact a variety of areas, most notably education. AI has significantly improved learning experiences for both teachers and students by allowing them to be customized and personalized. This review article investigates the prospects provided by AI in modern teaching and learning processes, with a special emphasis on its advantages in language learning. This study examines existing literature and studies on AI in education, with a focus on language learning environments. The results show AI's advantages in giving targeted feedback and practice opportunities, making language learning easier, and improving overall learning efficiency and effectiveness. Thus, this review contributes to a better understanding of AI's role in redefining present educational paradigms, as well as its potential to transform teaching and learning methodologies.
Post-Pandemic Economic Resilience: The Role of Women-Led SMEs in Tasikmalaya's Craft Sector, West Java Yunia Dwie Nurcahyanie; Adelia Azzahra
Journal of Economic Development and Village Building Vol. 3 No. 2 (2025): Journal of Economic Development and Village Building
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jedvb.v3i2.46

Abstract

This qualitative research investigates the mechanisms of economic resilience in the post-COVID-19 era through a study of women-led small and medium-sized enterprises in the handicraft sector of Tasikmalaya. Data collection was carried out through in-depth interviews with 20 female entrepreneurs and field observations. To complement the qualitative analysis, basic quantitative descriptive statistics were derived from structured interview responses. The findings demonstrate that these enterprises have successfully navigated unexpected challenges by adopting smart adaptation strategies. The descriptive data reveal that social networks and digital platforms were utilized for sales by 80% of respondents, while 55% actively participated in local collaboration networks. Regarding coping strategies, cost optimization was adopted by 90% of the enterprises, while 70% diversified their products. However, only 35% of the enterprises have returned to pre-crisis income levels, while 45% remain on the path to sustainable recovery. The product mix has shifted from 75% purely traditional products to 60%, while the share of applied and customized products has increased correspondingly. This research demonstrates how resilience in these enterprises emerges from social capital, collective wisdom, and innovation in practice rather than from institutional support. The study highlights the importance of formulating targeted support policies aligned with the unique characteristics of these firms. Recommendations include strengthening local cooperation networks, providing access to financial resources, and developing training programs responsive to entrepreneurs' needs.
Implementation Barriers of Electronic Health Record Interoperability in Indonesian District Hospitals: A Mixed-Methods Study Septien Dwi Savandha; Elvira Fitriyanti; Adelia Azzahra
Indonesian Health Journal Vol. 5 No. 1 (2026): Indonesian Health Journal
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/ihj.v5i1.904

Abstract

The implementation of interoperable Electronic Health Records (EHRs) is essential for strengthening integrated, patient-centered healthcare delivery in Indonesia; however, district hospitals continue to face substantial barriers in aligning local hospital information systems with the national SATUSEHAT platform. This study aimed to identify and analyze the technical, organizational, regulatory, and human resource barriers affecting EHR interoperability readiness in Indonesian district hospitals. A convergent parallel mixed-methods design was employed across 12 type C and D district hospitals in West Java, Central Kalimantan, and East Nusa Tenggara. Data collection was conducted during the e januari-maret period in 2025. Quantitative data were collected from 240 respondents using a structured questionnaire based on the Technology-Organization-Environment framework and the Unified Theory of Acceptance and Use of Technology, while qualitative data were obtained through interviews and focus group discussions with 36 key informants. The findings showed that vendor and system interoperability, technical infrastructure readiness, and human resource competency were the most critical barriers. Logistic regression indicated that low infrastructure readiness, weak vendor interoperability, limited digital literacy, lower hospital digital maturity, and geographic location significantly predicted low interoperability readiness. Qualitative findings further revealed vendor lock-in, unstable connectivity, limited training, budget constraints, and regulatory implementation gaps. In conclusion, EHR interoperability in Indonesian district hospitals requires not only technical standardization, but also sustained organizational support, workforce capacity-building, stronger vendor governance, and differentiated policy assistance for hospitals with lower digital maturity. This study is novel in that it applies a convergent parallel mixed-methods design integrating the TOE and UTAUT frameworks specifically at the district-hospital level (RSUD type C and D) across provinces with contrasting digital maturity, an analytical scope that has not been jointly examined in prior Indonesian EHR interoperability research.