International Journal of Health and Information System
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Detecting Dehydration Based on Urine Color Using Fuzzy Logic Image Processing and Regulating Water Intake with an Automatic Water Pump According to Dehydration Level Using an IoT-Based
Dehydration is a condition where the body lacks the fluids it needs to carry out its functions optimally. Dehydration can cause various health problems, including decreased mental and physical performance, and can even cause death if not treated immediately. Therefore, it is important to be able to detect and treat dehydration early. One way to detect dehydration is through urine color analysis. Urine that is darker than normal can be a sign of dehydration. The classification of dehydration level according to urine color is as follows: 1-2: Hydrated, 3-4: Mildly dehydrated, 5-6: Dehydrated, 7-8: Very dehydrated. This research aims to develop an IoT-based dehydration detection system that can detect the level of dehydration in a person based on urine color and regulate water intake automatically using a water pump. The novelty of this research is the method of integrating drinking water intake with dehydration detection based on real-time urine color based on IoT using the Fuzzy Logic method. The results of this research are used by the Jember State Polytechnic TeFa Nutrition Care Center (NCC) in serving patients. The methodology used in this research is Fuzzy Logic image processing to process urine color data and determine a person's level of dehydration. After carrying out this research, the following conclusions were obtained: Based on the literature study in this research, 8 levels of hydration status according to NSW Health were obtained, then from this literature a method was obtained to measure a person's hydration based on urine color using image processing using the Fuzzy Logic method
Cardiac Tamponade in a Chronic Renal Failure Patient with Suspicion of Dialysis Pericarditis: A Case Report
Pericardial effusion is a condition characterized by fluid accumulation in the pericardial cavity. This fluid accumulation can cause disturbances in cardiac contractility, affecting hemodynamic stability. Fluid accumulation is caused by several factors, ranging from the amount of fluid, the speed of fluid accumulation, and the ability of the pericardium to accommodate fluid. One of the causes of pericardial effusion is pericarditis. Pericarditis can be caused by infection and non-infection, such as in patients with chronic renal failure with an incidence of 2-21%, which can lead to cardiac tamponade. In this study, a 46-year-old male patient who came to the emergency room of Dr. Soebandi Hospital, Jember with complaints of shortness of breath in the last 2 months. The patient also complained of heartburn. The patient had a history of chronic renal failure and routinely performed hemodialysis. On examination of vital signs, thoracic photographs, and echocardiography, a picture of cardiac tamponade was found. Cardiac tamponade can occur in patients with chronic renal failure. This is due to the condition of uremia which causes pericarditis. Inflammation of the pericardium causes blood that is intravascular to enter the pericardial cavity, causing fluid accumulation there. If not treated immediately, it can lead to cardiac tamponade which endangers the patient's life
Analysis of Factors Causing Incomplete Filling of Medical Resumes at Pratama Clinic
The number of incomplete inpatient medical resumes at the Pratama Clinic from January to March 2024 was 56.7%. This shows that there are still several items of medical resume forms that are not complete according to the SPM which is 100%. This research aims to analyze the factors causing incomplete filling out medical resume forms for inpatients at the Pratama Clinic. This type of research is qualitative with data collection techniques of in-depth interviews, observation, and documentation. The subjects in this study were 2 doctors, 4 nurses, and 2 medical records officer. Results research on factors causing incompleteness include lack of knowledge of doctors and nurses regarding filling time standards medical resume form, lack of responsibility of doctors and nurses towards filling, doctors and nurses have never attended filling training medical resume form, absence of SOP and strict punishment for doctors and nurses
The Implementation of Smart Application System for Early Detection of Stunting as a Solution to Nutritional Problems Based on Anthropometry Standards
Stunting is a nutritional status determined by the PB/U or TB/U index. These measurements fall within the threshold (Z-Score) <-2 SD to -3 SD (short/stunted) and <-3 SD (highly short). Per the 2024 target established by the president, the frequency of stunting can be reduced to 14%. It has been demonstrated that there are still dietary disorders, particularly in the vulnerable age group, namely toddlers in Kemuning Lor Village. In 2018, there were still 33 toddlers with nutritional status disorders, including 24 toddlers (19.7%) with overnutrition, 5 toddlers (4.1%) with undernutrition, and 4 toddlers (3.2%) with malnutrition. Smart Systems is a subfield of Computer Science that focuses on developing competent methods inspired by natural events to address various complicated problems in the real world, including the health realm; early detection of stunting. This study aimed to develop an early detection method for nutritional status and stunting based on anthropometric standards in toddlers in Kemuning Lor Village, which is anticipated to aid cadres or the community in overcoming nutritional status and stunting in toddlers
Web Based Online Nutrition Consultation System (Telenutrition) at the Nutrition Care Center eaching Factory (NCC-TEFA)
The Nutrition Care Center (NCC) is a Politeknik Negeri Jember Teaching Factory (TEFA) that provides nutritional consultation services to clients. NCC aims to provide nutritional services to Polije employees and the wider community. However, NCC does not yet has an online nutrition consultation system that supports services for clients. The aim of this research was to design and implement an online nutrition consultation system (telenutrition) at NCC Politeknik Negeri Jember. The method used was Scrum which has the stages of user stories, product backlog, sprint planning, daily scrum (sprint execution), sprint review, sprint retrospective. Research informants consisted of the Head of NCC and NCC consultants for identifying user needs. The result showed that telenutrition facilitated clients to get services. Meanwhile, telenutrition also facilitated nutritionists to educate and monitor client nutrition. It can be concluded that the system has been designed and is ready to be implemented at NCC
Development of Hospital Enteral Formula for Diabetes Using Tempeh Flour with Dragon Fruit and Tomato Addition
This study aimed to develop a novel enteral formula for diabetes patients using tempeh flour with dragon fruit and tomato additions. An experimental design was employed to formulate and evaluate the nutritional content, viscosity, and organoleptic properties of the developed formula. Results showed that the formula had a high energy content of 926.1 kcal/100ml, with 41.6g/100ml of protein, 26.8g/100ml of fat, and 131.4g/100ml of carbohydrates. Viscosity testing indicated appropriate flow properties for enteral feeding, with 7ml of 10ml flowing in 10 seconds. However, organoleptic evaluation by seven panelists revealed low acceptance scores on a 4-point scale: color (mean 1.71), aroma (1.43), taste (1.43), and texture (2.29). While the formula demonstrates potential in terms of nutritional content and viscosity, significant improvements are needed to enhance its sensory acceptability. This research contributes to the development of plant-based enteral formulas for diabetes management, highlighting the challenges in balancing nutritional requirements with organoleptic qualities. The high carbohydrate content, while potentially beneficial for energy provision, raises concerns about glycemic control in diabetic patients. Further optimization of the formula's composition and clinical trials are recommended to assess its efficacy in diabetes care and to address the sensory and nutritional challenges identified in this study
Design of a Web-Based Health Information System to Support a Teaching Factory in Health Information Management of PSDKU Ngawi
Health services are among the most needed services by the community. In Ngawi Regency, Indonesia, residents often struggle to access vital health service information. With the advancement of technology, such as web-based health service information systems, it becomes easier for the community to access information about health services. The design of a web-based health service information system aims to support the establishment of a pioneering teaching factory for the Health Information Management study program. This research employs the SDLC (System Development Life Cycle) software development method using the prototype model. The stages of the system design and development include quick plan, modelling, quick design, construction of prototype, deployment, delivery and feedback, and communication. The research results indicate that the web-based health service information system can facilitate the Ngawi community and its surroundings in accessing health service information, registering online, conducting self-health checks, consulting with health personnel via a WhatsApp link available on the web, serving as a health promotion media, and enabling users or health personnel to utilize patient data stored in the system database as a learning support tool. Based on the research findings, the system significantly enhances community access to health services and streamlines health management processes for users
Diagnosis of Stroke and Diabetes Mellitus With Classification Techniques Using Decision Tree Method
: Stroke is a cerebral vascular disease characterized by the death of brain tissue that occurs due to reduced blood and oxygen flow to the brain. Ischemic stroke is associated with diabetes mellitus, therefore it is important to identify the risk factors that cause stroke and DM by diagnostic cause of the disease. This study aimed to classify and compare accuracy tests on medical record data sets for stroke and DM. This study analyzed the diagnosis of stroke and DM using Decision Tree. The risk factors consisted of gender, age, blood pressure, nutritional status, smoking, history of DM, and history of hypertension. The results of the analysis using the Decision Tree method showed that the accuracy rate was 86.67%, which means that the modeling has a good level of correctness of the prediction results. We conclude that the Decision Tree method was an accurate method for detecting stroke and DM
The Intentions of Health Personnel Using UTAUT-Based Electronic Medical Records (Unified Theory of Acceptance and Use of Technology)
The government's efforts as a form of supporting the Sustainable Development Goals (SDGs) in point 3 regarding health and welfare, the Indonesian government. By using good information technology, it is hoped that good quality health services will also be achieved. The existing conditions at the Jemur Sari Islamic Hospital (RSI) Surabaya show that there are still incomplete Subject, Object, Assessment, Plan (SOAP) components in EMR in 2022. The aim of this research is to review the use of UTAUT-based EMR. This type of observational research uses a cross sectional design. The research sample was taken by total sampling from the entire population, namely 45 officers at Jemur Sari Hospital, Surabaya. Data analysis using frequency descriptives. The research results show that average job fit on performance expectancy 3,48, perceive ease of use on effort expectancy 3,47, subjective norm on social influence 3,43, compatibility on facilitating conditions 3,53 and persuasiveness on behavioral intention 3,50. The results in the very good category and social factors are in the good category. The conclusion of this research is that it needs to be further improved in the aspects of extrinsic motivation, perceived behavioral control, social factors, improvements in complexity and enthusiasm
The QoL of College Students and Its Impact on Stress Level: A Cross-Sectional Study
The peak of vulnerability to behavioral and mental disorders occurs during college, making this a crucial time for development. College students have a worse quality of life (QoL) in terms of mental health compared to the general population. There is a need for information regarding QoL related to stress in students, as studies discussing QoL and stress in college students are still lacking. This study aims to analyze the relationship between QoL and stress levels in college students. A cross-sectional survey design was used in this study, involving 249 college students at higher education institutions in East Java, Indonesia. The data samples were collected based on demographic characteristics, using the QoL scale from WHOQOL-BREF and the Depression, Anxiety, and Stress Scale-21 to assess the correlation between QoL and stress levels among college students. The results showed that the stress levels of college students were classified as normal (54.6%), mild (17.3%), moderate (17.3%), severe (8.4%), and extremely severe (2.4%). A significant negative correlation was observed between all domains of QoL and stress: Physical (-0.630), Psychological (-0.658), Social Relationship (-0.564), and Environment (-0.584). These results indicate that as QoL increases, stress scores decrease. Attention should be paid to providing appropriate interventions related to college students' quality of life. Further research is needed to gather detailed information on existing QoL domains, particularly those focusing on students’ needs, current information developments, and demographic characteristics