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Ferry Efendi
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INDONESIA
Indonesian Nursing Journal of Education and Clinic (Jurnal Pendidikan dan Praktik Keperawatan Indonesia)
Published by Asosiasi Institusi Pendidikan Ners Indonesia
ISSN : 25278800     EISSN : 25278819     DOI : http://dx.doi.org/10.24990/injec.v7i1.418
Core Subject : Health,
Nursing
Indonesian Nursing Journal of Education and Clinic (INJEC) is the official peer-reviewed research journal of the Association of Indonesian Nurses Education Center (AINEC). This journal aims to promote advancement in nursing and healthcare through the dissemination of the latest research findings. INJEC covers a wide range of nursing topics such as nursing education, clinical practice, advanced nursing issue and policy related to the nursing profession. This journal publishes two issues per year in June and December. INJEC intended readership includes a nurse educator, researcher, manager, and nurse practitioner at all levels.
Arjuna Subject : Kedokteran - Kedokteran (Lain-Lain)
Articles 12 Documents
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Search results for , issue "Vol 4, No 2 (2019): INJEC" : 12 Documents clear
Impression of Twitter and Whatsapp on Sleep Quality Among Nursing Students In Indonesia Yosi Maria Wijaya; Fransiskus Xaverius Widiantoro
INDONESIAN NURSING JOURNAL OF EDUCATION AND CLINIC (INJEC) Vol 4, No 2 (2019): INJEC
Publisher : Asosiasi Institusi Pendidikan Ners Indonesia (AIPNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.819 KB) | DOI: 10.24990/injec.v4i2.251

Abstract

Introduction: The widely used social media by mobile-platform, which makes communication easier, faster, enhance effective flow of information. However, it may have the potential negative effect in quality of sleep in nursing students. The purpose of this study was to examined the impact of using social media and identified predictors of poor sleep quality among nursing students. Methods: A school-based survey design was conducted. Totally, 264 students at school of health sciences in West Java with usage social media platform were participated in this study. The extensive self-administered questionnaires were used to assess extent of using social media and the Pittsburgh Sleep Quality Index. Logistic regression analysis by a backward-stepwise technique was used to determine predictors of poor sleep quality. Results: One out of two nursing students (59.5 %) used both Instagram and WhatsApp, mostly at nights (59.8%), and more than 4-hour daily (19.3%). Majority nursing students (94.3%) have poor quality of sleep. Quality of sleep was differed significantly in bachelor students (p=0.03) in 8th semester (p = 0.006). Younger nursing students (β = 0.025, p = 0.021, 95% CI 0.001-0.566) who use social media less than 3-month (β = .019, p = 0.001, 95% CI 0.002-0.212), mostly during weekends and in 8th semester (β = 41.32, p = 0.018, 95% CI 1.902-897.73) were predictor of poorer sleep quality. Conclusion: Findings indicated a strong need for integrating sleep quality education and provide health-education to promote correct and effective use of social networks to minimize possible side effects in nursing students.
Virtual Algorithm Simulation (VAS) Based on Problem: Learning Media in Medical Surgical Nursing Nurul Hikmatul Qowi; Trijati Puspita Lestari; Siti Sholikhah
INDONESIAN NURSING JOURNAL OF EDUCATION AND CLINIC (INJEC) Vol 4, No 2 (2019): INJEC
Publisher : Asosiasi Institusi Pendidikan Ners Indonesia (AIPNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (50.039 KB) | DOI: 10.24990/injec.v4i2.270

Abstract

Introduction: Innovative learning media for online simulation-based nursing students is still not optimal. The study aimed to develop online simulation video-based learning media, namely virtual algorithm simulation (VAS) based on problems in medical-surgical nursing (MSN). Methods: A research development or Research and Development (R&D) which consists of two stages. The first phase of the study was conducted focus group discussion (FGD) with eight medical surgical nursing lecturers and expert discussion with 50 students, three of IT experts, and two MSN experts. The second phase of the research was conducted FGD with five participants, and socialization of instructional media to six lecturers and 54 students. The feasibility test instrument uses learning media assessment instruments consisting of subcategories of learning media rules, Computer Assisted Interaction (CAI), management, and the relevance of the material and syllabus. Data were analyzed using descriptive analysis. Results: The assessment of media experts showed the highest mean in the VAS management subcategory of 3.53. Evaluation of nursing experts and students with the highest mean in the subcategory of material relevance and syllabus, namely 3.9 and 3.57. The results of discussions with experts stated that 100% of the learning media Virtual Algorithm Simulation (VAS) is suitable for use as a medium for learning medical surgical nursing. Conclusions: VAS can be used as a learning media for medical surgical nursing. Online simulation-based learning media can facilitate the accessibility of learning material, increase knowledge and skills of nursing students.

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