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All Journal Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Teknologi Informasi dan Multimedia Science Midwifery
Sirajunnasihin, Sirajunnasihin
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Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Health Professions Nursing Public Health Veterinary

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Arsitektur Sistem Informasi Rehabilitasi dan Rekonstruksi Rumah Terkena Dampak Gempa Menggunakan Framework Togaf Sirajunnasihin, Sirajunnasihin; Setiawan, Hendra
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 6 No 3 (2024): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.540

Abstract

The study focuses on the impact of the 2018 earthquake in the Province of West Nusa Tenggara, particularly the extensive damage to hundreds of thousands of houses. It aims to assess the initial phase of post-earthquake housing rehabilitation and reconstruction activities and seeks to enhance their efficiency and effectiveness. One of the main issues identified is the absence of an integrated information system to facilitate data management and coordination among relevant agencies, often leading to errors and delays in implementing activities. To address this, the research utilizes the TOGAF ADM Framework as an architectural design method, providing detailed guidelines for creating a flexible and adaptable information system architecture. Data is collected through in-terviews, document studies, and literature reviews. The research delves into the vision and mis-sion, regulations, and guidelines pertaining to the rehabilitation and reconstruction process, as well as an analysis of the current business processes and assets owned by the BPBD of the Province of West Nusa Tenggara. The expected outcome is the development of an information system ar-chitecture that can overcome obstacles in rehabilitation and reconstruction activities, resulting in a more effective and efficient process. Moreover, it aims to enhance coordination and resource uti-lization. Ultimately, the study concludes that implementing a TOGAF ADM-based information system architecture can offer a comprehensive solution to the challenges encountered in post-earthquake housing rehabilitation and reconstruction. This resulting integrated and opti-mized system is expected to serve as a valuable reference for relevant agencies in other provinces facing similar situations in the future.
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.
Co-Authors Hendra Setiawan Hizriansyah, Hizriansyah Purwanti, Santi Qudsi, Jihadil Rakhmayudhi, Rakhmayudhi Restu Mahardhika