Therefore, based on the literature review, the following hypotheses were proposed by previous researchers (Raza et al., 2020). Therefore, based on the literature review, the following hypotheses were proposed by previous researchers (Raza et al., 2020).
Results and Discussion
M1 (doesn't want to leave the house for fear of the risk of contracting the COVID-19 pandemic) has a relationship of 0.794 to M (Corona Fear). M6 (looking at the possibility of the Covid-19 outbreak spreading to other areas) has a relationship of 0.731 to M (Corona Fear).
Conclusion
Social Isolation and Learning Management System (LMS) Acceptance in the Time of the COVID-19 Pandemic: An Extension of the UTAUT Model. Information Technology Adoption and Acceptance of Learning Management Systems During Pandemic Covid-19 in Indonesia."
Health Workers Readiness for Implementation of a Mobile Pregnancy Monitoring System in Primary
Health Care: A Cross-Sectional Study
Sandra HakiemAfrizal * Faculty of Health Sciences and
Nashrul Hakiem
Amy Mardhatillah
Abstract
Introduction
The implementation of e-health in Indonesia is currently still dominated by hospitals (Handayani et al. 2016). Before introducing an innovation such as the mobile pregnancy monitoring system in the primary health care system, there is a need to evaluate the readiness of health care professionals to implement such a system (Holt et al. 2010).
Theoretical Background
Convenience sampling method was adopted for the field survey, where the items were written in Indonesian language to obtain respondents' perspectives. According to the Cronbach Alpha analysis, the overall reliability of the instrument was 0.72 (>0.7).
Results
The result showed that the highest average score for the people category was in question no. 12, which read: "Officials who can facilitate the introduction of technology will help you implement a mobile pregnancy monitoring system". Previous experience in implementing a health information system in the organization improved the effectiveness of the monitoring system (innovation in the organization) 3.76 ,891. Monitoring by the management of the organization is carried out during the adoption of the innovation (such as a mobile pregnancy monitoring system) (innovation into the organization) 3.93 .677.
Legal issues such as punishment can lower the barrier to the adoption of an innovation in the organization (such as the mobile Pregnancy Monitoring System) (innovation for the organization). The Mobile Pregnancy Monitoring System as an innovation that will integrate healthcare for community and personal healthcare.
Discussion
This study sought to investigate the socio-technical readiness of midwives and community health workers to implement a mobile pregnancy monitoring system in primary health care of an urban area in Banten Province, Indonesia. This study measured readiness to implement a mobile pregnancy monitoring system in an urban area with fewer technical limitations and analyzed the association between demographic and health worker support factors. The findings of this study indicate that the majority of health workers involved in the ANC process are willing to implement a mobile pregnancy monitoring system.
Using electronic health records to help coordinate care.” The Milbank Quarterly (82:3), Milbank Memorial Fund, pp. An Assessment of Readiness for Pre-Implementation of Electronic Health Record in Iran: A Practical Approach to.
Whistleblowing System Deployment using the Information Technology Infrastructure Library
Indonesia
Nashrul Hakiem *
Luh Kesuma Wardhani
Nenny Anggraini
Yudi Setiadi
The benefits and capabilities of the service desk are to harmonize the IT business process between departments, improve the management of the organization in terms of hardware and assets, improve the efficiency of the business process and enable the analysis of data collection for planning and better strategic tracking (Tang and Todo 2013). The most comprehensive framework for service desk operations is the Information Technology Infrastructure Library (ITIL) (Pereira and Da Silva 2011). However, based on previous experience, business process integration was one of the main problems for service desk implementation, such as unregistered email complaints or redundant processes, which may prolong the follow-up of complaints and produce an operation inefficient.
The success of IT service desk development is closely related to the User Centered methodology which pays more attention to the interaction between people and the computer. The aim of this current research is therefore to design, develop and implement a WBS through a service desk operating system using the ITIL v3 Framework that integrates with the current system to facilitate the community services and students to raise any issues to report to support integrity zone development.
Related Works
In that study, the service desk application was applied to complaint handling and information technology management in a hospital using the ITIL V.3 framework. This service desk was part of the service operation of ITIL version 3, which consisted of best practices for ITSM. The result showed that the service desk could help education managers make decisions more efficiently.
After the problem is entered into the system, the system will send details of the problem to UIN Syarif Hidayatullah service desk Jakarta. Class Diagram for Service Desk System Design for UIN Syarif Hidayatullah Jakarta Figure 4 is the developed design of the class diagram for service desk.
Result and Discussions
So it is necessary to evaluate and test the system based on the proposed methods. Efficiency testing showed that the system's average response time was 2.48 seconds, with a score of 91% when using PageSpeed and a score of 91% when using Yslow. A response time of less than 5 seconds indicates that the system is well built and users can access it easily.
This result showed that the system can be opened in all browsers and devices without reducing the functionality of the system. User acceptance testing and performance testing results (Angraini et al. 2020) show that the system presented good results.
Research Implications
The service operation of a Whistleblowing system (Nursalman et al. 2018) and a service desk system (Black and Larsson 2004) are almost the same in terms of the workflow, therefore the design applied the service desk ITIL v3 standard (Fitrani and Ginardi 2019 ) ). Implementing IT Service Management: A Systematic Literature Review,” International Journal of Information Management (33:3), Elsevier Ltd., pp. The System Usability Scale: Past, Present, and Future,” International Journal of Human-Computer Interaction (34: 7), Taylor and Francis Inc., pp.
The Effects of the Whistleblowing System on Financial State Fraud: Ethical Behaviour as the Mediators,” International Journal of Civil Engineering and Technology (8:10), pp. A Comparative Study of Performance Testing Tools,” International Journal of Advanced Research in Computer Science en Sagteware-ingenieurswese (IJARCSSE) (3:5), pp.
Intention to Visit Tourist Destinations: The Effect of Mobile Tourism Recommender System on Visit Intention
Intention to visit tourist destinations: The effect of mobile tourism recommendation system on visit intention. No research has been conducted regarding the effect of MTRS on user behavior, namely the intention to visit tourist destinations. After going through the process, the user will determine if he wants to visit the tourist destinations he sees in the MTRS application.
Based on the fit and implications of these stages, we would like to examine whether the intention to visit tourist destinations will also increase if users intend to use the MTRS app to receive tourist destination recommendations. This study aims to determine whether using the MTRS application to obtain tourist destination recommendations affects users' intentions to visit tourist destinations.
Literature Review
In this study, identifying the technological features of the MTRS application was carried out by assessing two variables, namely support for recommendation and support for social interaction. In MTRS, social motivation can be defined as environmental encouragement to use the MTRS application. Visit intention refers to a tourist's desire to visit a specific destination (Ahn et al. 2013; Baker and Crompton 2000).
In the context of MTRS, visit intent is a person's intention to visit a tourist destination after receiving a recommendation from MTRS. Therefore, it can be concluded that the purpose of visiting is a person's intention or desire to visit a place, in the context of this study, a tourist destination (Luo and Ye 2020).
Conceptual Model and Hypothesis
H5: The level of support for social interaction in the MTRS application has a positive effect on the level of perceived usefulness of the user. H10: The level of social recognition in the MTRS application has a positive effect on the level of perceived user satisfaction. H11: The level of social influence in the MTRS application has a positive effect on the level of perceived usefulness of the user.
H12: The level of Social Impact in the MTRS application has a positive effect on the level of perceived user satisfaction. H16: The level of perceived satisfaction in the MTRS application has a positive effect on the level of user visit intention.
Research Methodology Sampling and data collection
This study also finds that only one of the two technology trait constructs, support for recommendation, has an impact on perceived usefulness and perceived satisfaction. To measure the intention to visit a tourist destination, perceived usefulness and perceived satisfaction are used to measure the usage aspects of the MTRS; TTF, technological features and social motivation. A theory-driven design framework for social recommender systems," Journal of the Association for Information Systems (11:9), p.
Online peer and editorial recommendations, trust and choice in virtual markets”, Journal of Interactive Marketing (19:3), pp.15-37. An Assessment of the Influence of Perceived Enjoyment and Attitude on Intention to Use Technology Among Preservice Teachers: A Structural Equation Modeling Approach,” Computers & Education (57:2), pp.
Evaluation of Academic Information System Using Delone and Mclean Success Model: A Case Study of
Academic Information System Hasanuddin University
Andrisasmita Rachmat
Baharuddin Hamzah
Muhammad Niswar*
An organization uses an information system to support the effective and efficient operation of the organization. Suaryana's (2016) research examines the perception of students, faculty and staff and their satisfaction with the quality of the Academic Information System. Jumardi's (2020) study uses an adaptation of the DeLone and McLean information systems success model with some modifications to assess the quality of academic information systems.
The researchers assessed the quality of each information system by focusing on the six main elements of the DeLone and McLean model. Application of the DeLone and McLean model in the public sector of the city of Oulu, Finland (Iivari, 2005).
Result
This suggests that the quality of the system has a significant positive effect on user satisfaction. The coefficient value of the influence of information quality on user satisfaction is 0.462, the standard error value is 0.083, the t-statistic value is 5.545 and the p-values is 0.000. It can be concluded that the quality of the system has no significant positive impact on actual use.
The influence coefficient value of user satisfaction on individual influence is 0.583, the standard error value is 0.092, the t-statistic value is 6.341, and the p-values are 0.000. Individual Impact of actual use and User Satisfaction variables (H6 and H7) provide a significant positive relationship.
Conclusions
Statistics Conclusions H1 System quality → User satisfaction 2.569 significant positive effect H2 Information quality → User satisfaction 5.545 significant positive effect H3 System quality → Actual use 0.860 no significant positive effect H4 Information quality → Actual use 0.904 no significant positive effect H5a User satisfaction → Actual use 1.308 no significant positive effect H5b Actual use → User satisfaction 1.233 no significant positive effect H6 User satisfaction → Individual impact 6.341 significant positive effect H7 Actual use → Individual impact 2.380 significant positive effect The relationship between user satisfaction and actual use (H5a and H5b) shows a positive, non-significant relationship. This hypothesis shows that the effectiveness of NeoSIA at the user level is influenced by the intensity of use and user satisfaction. Modifikasi model Adaptasi DeLone & McLean dalam Analisis Kualitas Sistem Informasi Akademik,” Jurnal Sistem Informasi (E-Journal), (11:2).
Evaluasi Keberhasilan Sistem Informasi Akademik Menggunakan Pendekatan Model DeLone dan McLean”, Jurnal Sistem Informasi Bisnis, (10:2), hlm. Evaluasi Sistem Informasi Akademik Menggunakan Model Kesuksesan Delone dan McLean: Studi Kasus Sistem Informasi Akademik Hasanuddin Universitas," Jurnal Sistem Informasi (18:1), hal.
JURNAL SISTEM INFORMASI
JOURNAL OF INFORMATION SYSTEMS