International Journal of Health and Information System
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Electronic Health Records Design in the Nutrition Care Center of Teaching Factory at Politeknik Negeri Jember, Indonesia
Get PDFThe Nutrition Care Center (NCC) is one of the teaching factories (TEFA) at Politeknik Negeri Jember that provides community nutrition services. Preliminary data collection found that the factory did not have complete health database of their staff so that nutritionists find it difficult to screen for non-communicable disease risk factors. In this study, the use of Electronic Health Record (EHR) equipped with Clinical Decision Support System (CDSS) was incorporated to record, retrieve, archive, and update patients and other medical records in the NCC. This system provides easier health record management for the nutritionist team at the NCC TEFA Politeknik Negeri Jember. Medical records help them conduct screening on non-communicable disease (NCD) risk factors and make clinical decision support for doctors/counselors which have missions to reduce NCD cases in the productive age. This study used a waterfall method model and collected data through a literature review, observation, and interviews. The results produced an application of a clinic database management in which all data and information could be integrated well to improve the quality of services and facilitate data storage and access. This study concludes that the EHRs generates quick and accurate information to support operations and decision-making in the NCC
“DIA SMART” Android-Based Intelligent Application Expert System for Diagnosis and Mapping of 10 Diseases at Teaching Factory Nutrition Care Center
Get PDFThe Basic Health Research in 2018 showed that the prevalence of non-communicable diseases including cancer, stroke, chronic kidney disease, diabetes mellitus, and hypertension increased in Indonesia. The main risk factors are metabolic factors, behavioral factors, and environmental factors. Based on the existing problems, an Android-based intelligent application for the diagnosis and mapping of 10 diseases was proposed at the Teaching Factory Nutrition Care Center. This application development used the Expert System Development Life Cycle model and Dart Language. The framework used is Flutter. This article only discusses the implementation and testing of applications made based on Android. This application was developed to perform a diagnosis based on some patients’ data. This application is used as a reference for early detection of a disease, allowing patients to take preventive measures. It can map the number of patients who had health consultations in each department. The users of the application were a doctor, nutritionist or health consultant at the Teaching Factory Nutrition Care Center. System functionality tested using Blackbox-testing showed that the application ran well
Fuzzy Technology Design for Early Detection of Diseases in Tobacco Plants
Get PDFTobacco is an agricultural product that uses leaves to be processed into pesticides, medicines and cigarettes. Tobacco quality is determined by plant maintenance and reduced pest and disease attacks. To avoid these disturbances, control is needed quickly, precisely and accurately so that the tobacco plant disease cannot spread throughout agricultural land. In making fuzzy, diseases and symptoms in tobacco plants are used as a rule base in making a fuzzy expert system. The expert system created in this research is an expert system using the concept of fuzzy logic to diagnose tobacco plant diseases, using the Mamdani inference method and the defuzzification process using the centroid method (firmness value) to get the right conclusions in diagnosing tobacco plant diseases. From the results of Mamdani's design and manual fuzzy calculations, it can be concluded that the design is ready to be further implemented into the required programming language. From the sample calculation results, it was found that damping off disease has a moderate degree of risk with a value of 41.54. With the construction of this system, it will provide easy information for farmers to carry out and find out what symptoms are contracting diseases in tobacco plants
Design and Development of a Web-Based Medical Record Retention Information System at Polyclinic X Jember Regency
Get PDFMedical record retention activities that have been carried out at Polyclinic X Jember Regency have encountered obstacles in sorting files that are still manual, starting with the officer checking the month and year of the patient's last visit to the Polyclinic's SIM Clinic, then taking several medical records on the storage rack and recording the medical record number for sorting. There are quite a lot of files on the storage rack, making officers have to sort the files one by one. The type of research used R&D with the Waterfall system development method, namely Requirement Definition, System and Software Design, Implementation and Unit Testing, Integration and System Testing, also Operation and Maintenance. Data collection techniques using interviews and observations with 2 respondents, namely the head of polyclinic and medical records officers. This study aims to design and create a web-based medical record retention information system by minimizing errors in sorting medical record files and facilitating the performance of medical record officers in the filing section. The result of this research is a web-based medical record retention information system created using the PHP programming language
File Security Design in Electronic Health Record (EHR) System with Triple DES Algorithm (3DES) at Jember Family Health Home Clinic
Get PDFElectronic Health Record (EHR) is an electronic version of a patient's medical history maintained by a health care service from time to time. The hacking of medical record data by irresponsible parties is a security threat to the EHR system, including the EHR system belonging to the Jember Family Health Home Clinic which is not equipped with a file security system. This research was conducted by designing file security on the EHR system with the Triple DES (3DES) algorithm using UML (Unified Modeling Language) diagrams. The Triple DES (3DES) algorithm was chosen because it is considered secure in securing files. The results of this study are the design of adding file security with 3DES to the EHR system to help maintain the confidentiality of vital medical record data. Further research can be done by building a file security system using 3DES according to the design that has been made
Number of ANC Visits at RSIA AMC Metro Based on Mother's Age and Parity
Get PDFWHO declared COVID-19 as a pandemic on March 11, 2020. Obstacles found in ANC services during the COVID-19 pandemic were pregnant women afraid of contracting COVID-19 if they had to carry out ANC examinations at health services. ANC examinations play an important role in preventing and detecting pregnancy complications. Predisposing factors are one of the factors that influence the behavior of pregnant women in making ANC visits. Some of which are included in the predisposing factors are age and parity. This study aims to determine the effect of age and maternal parity on the number of ANC visits during the COVID-19 pandemic at RSIA AMC Metro. The sample consisted of 100 pregnant women who visited ANC between January and October 2022, and data analysis with multiple logistic regression. The majority of pregnant women were aged 20-35 years (71%), had given birth 2-4 times (36%), and made 1-5 ANC visits (82%). However, the study found that neither age nor maternal parity significantly affected the number of ANC visits during the pandemic at RSIA AMC Metro
Implementation Of Forward Chaining Expert System To Identify Facial Skin Types In Determining Facial Beauty Treatments
Get PDFSkin is part of the outer layer of the human body which is flexible, soft and sensitive and is the first line of defense from various germs, viruses, bacteria and what is very important and the main part is facial skin, therefore we must keep it healthy, fresh and clean by determining proper beauty facial treatment. This research was conducted to design and create an expert system capable of identifying facial skin types to determine facial beauty treatments. Making this expert system using forward chaining method. The result of this research is an application that can help make it easier for users to determine facial facial treatments without having to queue and wait for consultations with a beauty doctor, so that they can immediately determine the appropriate type of skin facial treatment through the Android application