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Background: Indonesia has 150 dengue cases every month, and more than one person dies every day from 2017 to 2020. One of the factors of Dengue Hemorrhagic Fever (DHF) patients dying is due to the late handling of patients in hospitals or clinics. Health Office of Malang Regency recorded 1,114 cases of DHF that occurred during 2016, and the number...
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Context 1
... selection of Business Intelligence tools, and designing and implementing Business Intelligence [15]. Based on the problems explained in the previous chapter, which is an increase in dengue cases from year to year, Business Intelligence is needed to predict dengue cases in the future. The process of making Business Intelligence is shown in Fig. 1. The identification and preparation of the data sources that needed to build Business Intelligence are explained in more detail in the data collection section, where the data that used in this study comes from two primary sources, namely the Integrated Puskesmas Recording and Reporting System (SP2TP) owned by the Malang Regency Health ...
Citations
... The extraction of knowledge from hospital data with a focus on clinical decision-making was carried out in [72], making it easier for health data to work with each other and push for the creation of national electronic health records [73]. This is corroborated by the article [74] which constructed the business intelligence dashboard using the business intelligence development methodology. It requires treatment to improve its performance. ...
The acceleration of stunting reduction in Indonesia is one of the priority agendas in the health sector, its implementation being through various regional and tiered approaches. This paper aims to manage management using an integrated system framework approach at the regional level and to support the acceleration of stunting reduction nationally. It takes a quantitative description approach that uses secondary data sourced from the Directorate General of Regional Development, Ministry of Home Affairs, the Republic of Indonesia in 2019–2021. The locus of papers is in five provinces, North Kalimantan, South Kalimantan, Central Kalimantan, West Kalimantan, and East Kalimantan, Indonesia. The data collection and processing consisted of twenty stunting convergence coverage referring to regulations in Indonesia. The analysis used is an integrated framework based on five dimensions. Management based on an integrated framework in a regional-based system for stunting convergence can be a solution to accelerating stunting reduction. This paper provides an option to accelerate the handling of stunting through the Integration of Service Governance-Based Systems in Districts/Cities, considering the achievements in the last three years that have not been maximally carried out in every district/city in five provinces in Kalimantan, Indonesia. This study explains that the local government needs to socialize and disseminate the commitment to stunting reduction results to reaffirm commitment and encourage all parties to actively contribute to integrated stunting reduction efforts. This paper has limitations in the implementation of dimensions that can develop in a context that is correlated with several perspectives, such as regional planning, budgetary capacity, and regional capacity.
