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All Journal Syntax Idea Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Iswanti Iswanti
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Engineering Public Health

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Pengalaman Perawat Saat Terkonfirmasi Covid-19 Di Rumah Sakit Dokter H. Mochammad Ansari Saleh Banjarmasin Iswanti Iswanti; Bahrul Ilmi; Muhammad Syafwani
Syntax Idea Vol 3 No 2 (2021): Syntax Idea
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntax-idea.v3i2.1046

Abstract

The purpose of thestudy was to explore the experience of nurses who worked in the hospital doctor H. Mochammad Ansari Saleh Banjarmasin when confirmed COVID-19. Qualitative data was obtained through in-depth interviews on seven nurses at the hospital. This research uses qualitative research method with phenomenological approach, which aims to identify and explore nurse experience when confirmed COVID-19. There were seven respondents involved in the study. These seven respondents were nurses who treated COVID-19 confirmed patients who were still working in the COVID-19 room after being declared cured of COVID-19. The results found 6 main themes, namely: 1) COVID-19 transmission process; 2) Reasons for performing diagnostic checks; 3) Experiencing symptoms of COVID-19; 4) Experiencing symptoms of drug side effects; 5) Actions taken after COVID-19 is confirmed; and 6) Find information about COVID-19. When confirmed COVID-19 according to most participants is a not very overwhelming experience can be, but they still experience anxiety despite having prepared physically and mentally COVID-19 disease is experienced including in a mild degree, so the chance of recovery is very great. The experience of nurses when confirmed by COVID-19 according to most participants is not very overwhelming experience, but when confirmed COVID-19 they still experience anxiety even though they stated before it happened they were already preparing physically and mentally if at any time they were confirmed COVID-19.
Pendampingan Literasi AI Akademik Berbasis NotebookLM bagi Komunitas Pemerhati Publikasi Ilmiah dalam Meningkatkan Produktivitas Penulisan Karya Ilmiah Iswanti Iswanti; Dadi Dadi; Netty Nurdiyani; Sri Astuti; Supriyati; Suryono; Wahyu Sulistiyo; Danu Angga Vebriyanto; Filda Hulwani Dewi
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 4 No. 3 (2026): Mei : ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v4i3.2775

Abstract

The rapid advancement of Artificial Intelligence (AI) has created new opportunities to support academic activities, particularly in scientific writing and literature review. This community service program aimed to improve academic AI literacy through training and mentoring on the use of NotebookLM for members of a scientific publication community consisting primarily of final-year university students. The activity was conducted at Politeknik Negeri Semarang, using a participatory mentoring approach consisting of needs assessment, pretest, interactive training, guided practice, mentoring, and evaluation. Initial evaluation showed that approximately 80% of participants had never used NotebookLM before the training. After the mentoring program, participants successfully utilized NotebookLM to summarize scientific articles, analyze journal content, generate presentation materials, create infographics, and organize literature more efficiently. The activity also increased participants' awareness of ethical AI utilization in academic writing. The program demonstrates that NotebookLM can function as an effective academic AI assistant to improve scientific literacy and writing productivity among university students. This mentoring model may serve as an alternative strategy for strengthening AI literacy in higher education.
Co-Authors Bahrul Ilmi Dadi Dadi Danu Angga Vebriyanto Filda Hulwani Dewi Muhammad Syafwani Netty Nurdiyani Sri Astuti Supriyati Suryono Wahyu Sulistiyo