文章基本信息

标题：OPTIMIZATION MODEL IN PUBLIC HEALTH SERVICES TO SUPPORT SMART CITIES
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作者：A M H PARDEDE ; N NOVRIYENNI ; L A N KADIM 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：3
页码：651
出版社：Journal of Theoretical and Applied
摘要：The provision of health services for sufferers of Covid 19 needs to be improved because the availability of resources in public health services cannot guarantee that it will always be sufficient to meet maximum service needs, but if the availability of excess resources can also cause waste. If resources in the service center are minimal, it can result in service requests not being fulfilled, this problem needs to be handled better so as not to harm service providers and those requesting services. When a patient needs health services, the patient will provide information on the priority level or the emergency of the patient's condition, the location of the patient, and the type of service he wants based on his needs, this information will be received by the service provider so that information on requests for health services can be scheduled by the hospital as the owner of the server resource. health service providers, medical personnel, doctors, health experts, operational support personnel, and other supporting equipment. Synchronizing data between available resources on the server allocates time for each health service which maximizes the use of limited resources to provide maximum health services to patients. The purpose of this study is to obtain a public health service optimization model that can be used to support the achievement of smart cities by using linear integer programs so that the model produced in this study can solve the problem of limited resources owned by service centers in providing services. All requests for services by patients can be done optimally but minimize all costs incurred, and can reduce the risk that can endanger the patient or the risk of patient death. This new model succeeded in maximizing health services according to patient demand and minimizing the arrival time of medical personnel according to patient requests. This model obtains the information that the maximum value of the objective function is 94.00 at the 30th iteration stage.
关键词：Model; Health Service; Smart City; Smart Service.