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All Journal Indonesian Journal of Applied Science and Technology Indonesian Journal of Teacher Education Indonesian Journal of Health and Medical Education
Januarlinda, Baiq Oriza
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Agriculture, Biological Sciences & Forestry Computer Science & IT Education Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

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EVALUATING THE LEVELS OF MENTAL HEALTH AWARENESS IN HIGHER EDUCATION INSTITUTIONS Purnadya, Baiq Anisya Nelahi; Hasanah, Nurul Asmaya Fitria; Januarlinda, Baiq Oriza; Gunawan, Gunawan
Indonesian Journal of Health and Medical Education Vol. 1 No. 1 (2026): Edisi Januari-Juni 2026
Publisher : Indonesian Publication Center

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Abstract

Mental health awareness is a crucial issue in the higher education ecosystem, given the high academic, social, and personal pressures experienced by students. This study aims to analyze the level of student awareness of mental health in higher education through a survey titled "Mental Health Matters." The research method used a quantitative approach, distributing questionnaires to students from various study programs. Data were analyzed descriptively to describe students' knowledge, attitudes, and perceptions regarding mental health and the importance of accessing campus counseling services. The survey results indicate that most respondents have a good understanding of mental health, but still encounter barriers such as social stigma and a lack of openness in seeking professional help. These findings emphasize the need to improve mental health literacy, strengthen social support within the campus environment, and the role of higher education institutions in providing more accessible services. This research is expected to provide a basis for developing mental health promotion programs in higher education.
Leveraging ChatGPT and Gemini to Support Teacher Creativity in Developing Digital Instructional Materials: A Literature Review Januarlinda, Baiq Oriza; Hasanah, Nurul Asmaya Fitria; Purnadya, Baiq Anisya Nelahi; Gunawan, Gunawan; Nisrina, Nina
Indonesian Journal of Teacher Education Vol. 7 No. 1 (2026): Edisi Januari-Juni 2026
Publisher : Indonesian Publication Center

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The rapid advancement of Large Language Models (LLMs), notably ChatGPT and Gemini, has significantly catalyzed educational innovation by enabling the rapid and adaptive creation of instructional content. This study analyzes the utilization of generative AI in bolstering teacher creativity for digital material development. Employing a narrative literature review approach, 17 relevant articles published between 2016 and 2025 were synthesized, sourced from Crossref, Google Scholar, and OpenAlex via the Publish or Perish application. The findings demonstrate that generative AI effectively assists teachers in designing learning media, instructional materials, and evaluation tools with greater efficiency. However, challenges such as infrastructure limitations, data validity concerns, and the imperative for human verification remain prevalent. The study concludes that integrating AI into content development must be accompanied by continuous digital literacy training and rigorous adherence to ethical standards.
The Utilization of Generative AI in Instructional Content Development: A Literature Review Hasanah, Nurul Asmaya Fitria; Purnadya, Baiq Anisya Nelahi; Januarlinda, Baiq Oriza; Gunawan, Gunawan; Nisrina, Nina
Indonesian Journal of Applied Science and Technology Vol. 4 No. 2 (2023): Edisi Juli-Desember 2023
Publisher : Indonesian

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Generative AI has significant potential to assist educators in developing learning content more quickly, creatively, and adaptively. This study aims to analyze various research on the use of generative AI in educational content development. The method employed was a narrative literature review, with articles retrieved using the Publish or Perish application from the Crossref, Google Scholar, and OpenAlex databases, covering publications from 2014 to 2023. Based on the literature selection process, 19 relevant research articles were identified for analysis. The review findings indicate that generative AI can support teachers and lecturers in developing instructional media, preparing teaching materials, creating assessments, and producing digital learning content more efficiently. However, challenges remain, including limited technological literacy, unequal access to devices, and ethical concerns regarding AI use. In conclusion, this study highlights that the effective use of generative AI in educational content development should be accompanied by the enhancement of educators’ digital competencies and a strong understanding of the ethical aspects of technology use.
The Use of Generative AI in Designing Adaptive Digital Learning Materials: A Literature Review Purnadya, Baiq Anisya Nelahi; Januarlinda, Baiq Oriza; Hasanah, Nurul Asmaya Fitria; Nisrina, Nina; Gunawan, Gunawan
Indonesian Journal of Applied Science and Technology Vol. 5 No. 2 (2024): Edisi Juli-Desember 2024
Publisher : Indonesian

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The development of generative Artificial Intelligence (AI) provides new opportunities in designing adaptive digital learning materials through automated content generation and personalized learning. This study aims to examine the roles, potentials, and challenges of generative AI in developing adaptive digital learning materials. The method used is a literature review of 15 scientific articles published between 2015-2024, retrieved from Google Scholar and Publish or Perish. The results indicate that generative AI supports automated content creation, personalization based on learners’ needs, and real-time material delivery. These capabilities enhance learning effectiveness, flexibility, and relevance. However, challenges remain, including teachers’ readiness, unequal access to technology, and the potential decline in students’ independent learning. Therefore, the integration of generative AI needs to be implemented carefully to optimally support adaptive digital learning.
Literature Review: The Effect of Virtual Laboratories on Students' Motivation and Learning Interest Januarlinda, Baiq Oriza; Hasanah, Nurul Asmaya Fitria; Purnadya, Baiq Anisya Nelahi; Gunawan, Gunawan
Indonesian Journal of Applied Science and Technology Vol. 5 No. 2 (2024): Edisi Juli-Desember 2024
Publisher : Indonesian

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This systematic literature review aims to examine the effectiveness of virtual laboratory implementation in enhancing students’ motivation and interest in learning based on scientific articles published between 2015 and 2024. A total of 17 empirical studies were analyzed using a qualitative descriptive content analysis method. The articles were collected through a systematic search using the Publish or Perish application in the Google Scholar and OpenAlex databases with the keywords: “virtual laboratory,” “virtual lab,” “PhET simulation,” “learning motivation,” and “learning interest.” Most of the analyzed studies were conducted at the junior and senior high school levels (SMP and SMA). The results indicate that all analyzed studies (100%) reported a positive effect of virtual laboratories on students’ affective domains, reflected in increased motivation scores and learning interest. PhET Simulation emerged as the most widely used platform (52.94%), particularly in Physics topics such as Archimedes’ Law, Heat and Temperature, and Harmonic Motion. Publication trends showed a significant peak in 2022 (29.41%), corresponding to the accelerated adoption of digital learning technologies during the post-COVID-19 era. The findings suggest that the effectiveness of virtual laboratories is driven by dynamic visualization of abstract concepts, interactive feedback, and flexibility in conducting repeated experiments. Overall, the findings indicate that virtual laboratories are effective learning media for improving students’ motivation and interest, particularly at the junior and senior high school levels. Their effectiveness is further supported by the integration of appropriate instructional models and the teacher’s role as a facilitator.
Co-Authors Gunawan Gunawan Hasanah, Nurul Asmaya Fitria Nisrina, Nina Purnadya, Baiq Anisya Nelahi