http://localhost:8080/xmlui/handle/123456789/11585 2026-04-12T10:31:59Z http://localhost:8080/xmlui/handle/123456789/11605 Title: Analysis of Successful Implementation of Hospital Information System in Bhayangkara Polda DIY Hospital with MMUST Method Authors: Hayati, Afriliya Abstract: ABSTRACT Since 2010, Bhayangkara Polda DIY Hospital has been using Hospital Information System (HIS), but the system still needs to be optimized. In the context of optimizing HIS implementation, it is necessary to analyze the success of HIS implementation. This study examines the factors that influence the successful implementation of Hospital Information System (HIS) in Bhayangkara Polda DIY Hospital based on the Model for Mandatory Use of Software Technologies (MMUST) method. This research is a descriptive study with a cross-sectional quantitative approach. The study sample used purposive sampling, which amounted to 98 respondents. Data analysis using the Structural Equation Modeling Partial Least Squares (SEM-PLS) technique using SmartPLS software version 4.1.0.3. The results stated that information satisfaction is influenced by information quality, performance expectations are influenced by information satisfaction and social influence, performance expectations and facility conditions influence attitudes, attitudes influence usage and overall satisfaction, and net benefits are influenced by usage and overall satisfaction. This study proves empirically that all hypotheses are accepted. HIS has proven to be a successful implementation because it can produce accurate, fast, and complete information, accelerate user performance, and provide benefits in its implementation. 2025-03-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/11603 Title: Social Determinants of Covid-19 Morbidity in Indonesia: Observational District Level Analysis Authors: Heryana, Ade; Adisasmito, Wiku; Ayuningtyas, Dumilah Abstract: ABSTRACT Since the COVID-19 pandemic globally struggled in late 2019, the global community has become aware that outbreaks of infectious diseases are associated with conditions beyond health factors, such as social, economic, demographic, geographic, and lifestyle. This paper aims to identify the influence of Social Determinants of Health (SDOH) on COVID-19 morbidity rates in Indonesia. The study analyzed morbidity cases during the second wave of the COVID-19 pandemic, namely the Delta variant wave. Multivariate analysis with linear regression was used to determine the predictors that affect COVID-19 morbidity in 128 districts/cities of the Java and Bali isles, which were controlled by the pandemic stages including pre, resurgence, decline, and post. Morbidity data was collected cross-sectionally from the National COVID-19 Task Force dataset and the social determinant of the 2021 Central Statistics Agency report. The number of health facilities is the most influential characteristic of the regency/city to COVID-19 morbidity at the pre-and resurgence-pandemic stages. The ratio of the immune population is the most influential characteristic when the pandemic experiences a decline stage; meanwhile, during the post-pandemic, the second dose of vaccination is the most influential characteristic. We recommended that testing, tracing, quarantine, and isolation intervention should be prioritized in the districts/cities with higher health facilities (preand resurgence-stage), higher herd immunity (decline-stage), and booster vaccination (post-stage). Social determinants of health are suggested to be used as a basis for predicting the risk factors for an outbreak of infectious diseases in a region and contributing to different SDOH factors in different outbreak stages. 2025-03-01T00:00:00Z