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All Journal Jusikom: Jurnal Sistem Informasi Ilmu Komputer Science Midwifery Media Publikasi Promosi Kesehatan Indonesia (MPPKI)
Sirajunnasihin, Sirajunnasihin
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Decision Sciences, Operations Research & Management Dentistry Health Professions Nursing Public Health Veterinary

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Self-directed e-learning-based mental health interventions to improve post-covid-19 pandemic health worker resilience and well-being Hizriansyah, Hizriansyah; Sirajunnasihin, Sirajunnasihin; Qudsi, Jihadil
Science Midwifery Vol 12 No 4 (2024): October: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v12i4.1707

Abstract

The purpose of this study is to assess the efficacy of self-directed e-learning-based mental health interventions in improving the resilience and well-being of health workers after the COVID-19 pandemic at the Madapangga Health Center in Bima Regency. The sampling technique used is nonprobability convenience sampling, where samples are selected based on the availability and willingness of health workers who take part in training and complete pre- and post-training evaluations. The course is divided into five modules covering the following topics: introduction to mental health and resilience, stress management, psychological resilience, self-care and implementation. A total of 128 people completed the program, with 91 people taking part in pre and post-training assessments. Data were collected using questionnaires with Likert scales to test knowledge and measure positive behaviors and well-being. To detect significant changes before and after the intervention, the data were analyzed using STATA 16 software and paired t-tests. Post-intervention results showed significant improvements in self-care behavior, stress management, and overall well-being. An increase in resilience scores was positively correlated with better job performance and psychological health (p < 0.000). This study shows that self-directed e-learning is effective in improving resilience and well-being of healthcare workers, especially in stress management and self-care. The program is flexible and easily accessible, especially for healthcare workers in areas with limited access to mental health services. Further research is recommended to include a larger sample sizes, long-term follow-up, and exploration of intervention components
Sistem Informasi RAM (Reliability, Avaibility, Maintability) Analisis Kinerja Peralatan Gerbang Tol Berbasis Dashboard Mahardhika, Restu Mahardhika; Rakhmayudhi, Rakhmayudhi; Purwanti, Santi; Nasihin, Sirajun
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2348

Abstract

Penulis-an yang berjudul Sistem Informasi RAM (Reliability, Avaibility, Maintability) Analisis Kinerja Peralatan Gerbang Tol Berbasis Dashboard adalah sebuah sistem informasi yang dibangun untuk membantu PT. XYZ dalam mengukur kinerja peralatannya, khususnya di Gardu Tol. Dengan dibangunnya sistem ini perusahaan dapat melakukan pemantuan peralatan terkait kehandalan, ketersediaan dan syarat dilakukannya perawatan. Hasil pengujian dari dibangunnya sistem ini menunjukan bahwa sistem informasi tidak memiliki kendala dari segi pengujian blackbox. Selain itu, pengujian Akurasi mengenai penghitungan yang dilakukan sesuai dengan teori yang digunakan. Dalam pengujian yang telah dilakukan mendapat respon yang baik dari pengguna terakhir. Dengan demikian, Sistem informasi ini layak digunakan sebagai alat untuk mengukur kinerja peralatannya.
The Role of Self-Directed E-Learning-Based Mental Health Models in Strengthening Mental Health Literacy among Nurses in West Lombok Regency, Indonesia: A Cross-Sectional Study Sirajunnasihin, Sirajunnasihin; Wulandari Dewi Susilawati; Musparlin Halid
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 9 No. 2 (2026): February 2026
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v9i2.8806

Abstract

Introduction: Nurses at Public Health Centers (PHCs) are at the forefront of providing health services, including mental health services. Adequate Mental Health Literacy (MHL) is crucial to enhance their ability to recognize, manage, and support patients with mental health disorders. Improving MHL through an Self-Directed E-Learning (SDE) based learning approach is expected to be an innovative solution to strengthen nurses' competencies. The study aimed to analyze the association between the self-directed e-learning-based mental health model and the strengthening of MHL among nurses at PHC. Methods: The study used a cross-sectional design to analyze the association between exposure to SDE with the strengthening of MHL among nurses at PHC in West Lombok, West Nusa Tenggara, Indonesia, with a sample size of 263. Descriptive analysis was performed to describe the characteristics of the respondents. Chi-square and binary logistic regression tests were performed to determine the association between variables with a significance level of p<0.05 with 95% Confidence Interval (CI) and Adjusted Odds Ratio (AOR) to determine the depth of the association. Results: The results of the study show that most nurses with high SDE exposure have better MHL-work levels than nurses with low SDE exposure. Males have a higher chance of achieving competency improvement than females (AOR=3.046; p=0.004). Participants with a Diploma in Nursing also showed a significant improvement compared to Bachelor of Nursing graduates (AOR=2.208; p=0.042). Work experience of ?5 years had a significant effect (AOR=2.851; p=0.006). A history of work-related MHL training significantly increased the likelihood of competency (AOR=3.575; p=0.001). Higher exposure to SDE, including the number of reflective discussion and practice sessions (AOR=2.333; p=0.029), longer e-learning duration (AOR=3.524; p=0.001), and the number of modules completed (AOR=2.617; p=0.018), and the number of mental disorder patients treated (AOR=3.703; p=0.001) were found to be significantly associated with increased competency. Meanwhile, workload did not show a significant association (p=0.231). Conclusions: The study findings confirm that experience, education, training, and intensity of involvement in the SDE program are important determinants in improving MHL competencies.
Co-Authors Hizriansyah, Hizriansyah Musparlin Halid Purwanti, Santi Qudsi, Jihadil Rakhmayudhi, Rakhmayudhi Restu Mahardhika Wulandari Dewi Susilawati