International Journal of Health and Information System
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57 research outputs found
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Readiness For Behavioral Change to Prevent Child Marriage Based on Individual Characteristics and Adolescent Antecedent Factors
Child marriage cases place Indonesia in the seventh highest ranking in the world and are ranked second in ASEAN. Child marriage can have negative impacts both mentally and physically. Women's reproductive organs that are not ready to accept pregnancy make early marriage disrupt the reproductive health system so that it can cause various complications, especially in women. This research aims to analyze the readiness for behavioural changes in preventing child marriage based on individual characteristics and adolescent antecedents. This type of research is quantitative descriptive research with a Cross-sectional study approach. This study involved 160 teenagers aged <19 years. Individual characteristic variables, namely gender, are related to readiness for behavioural changes in preventing child marriage. Antecedent variables, namely Reproductive Health Knowledge, Parental Support and Motivation, are related to preparedness for behavioural changes in preventing child marriage. The readiness of teenagers to be able to make behavioural changes in preventing child marriage is related to individual characteristics and adolescent antecedents
Implementation of Risk Factor Detection System Using k-NN Method to Reduce Maternal Mortality Rate at Sumbersari Primary Health Centre
The Maternal Mortality Rate has become a major issue for the Indonesian government as it can be used to measure the reproductive health level of a country. In 2023, the maternal mortality rate in Jember Regency was recorded at 150 per 100,000 live births. Sumbersari Primary Heath Centre is one of Primary Health in Jember, located in the city. Still had cases of maternal mortality, with two recorded cases The Jember Regency government has implemented various interventions, including the implementation of integrated antenatal care (ANC), the preparation of emergency obstetric and neonatal management guidelines, and collaboration with educational institutions to support pregnant women, strengthen maternal and neonatal referrals, and enhance the PONED and PONEK maternity teams. In line with these programs, there is a need for synergy in utilizing information technology to support the Jember government’s efforts to reduce maternal mortality rates through the creation of an early detection system to predict maternal deaths. This research will develop an early detection system for maternal mortality using the KNN method. The attributes used include gestational age, weight, haemoglobin, blood pressure A, blood pressure B, facial swelling, stillbirth, breech birth, bleeding during pregnancy, hydramnios, post-term pregnancy, transverse presentation, preeclampsia/eclampsia, anaemia, tuberculosis, malaria, and heart failure. The system development will utilize the prototype method. The test results show that the system can be used to predict maternal mortality with an accurac
Glaucoma Detection Based on Texture Feature of Neuro Retinal Rim Area in Retinal Fundus Image
One method for detecting glaucoma is by comparing ratios in the area of neuroretinal rim. Comparing area ratios in the neuroretinal rim is difficult for ophthalmologists since it requires high accuracy and is highly dependent on the patient's retinal condition. In this study, we sought to perform neuro retinal rim feature extraction based on histogram and gray level co-occurrence matrix (GLCM) of normal retinal images and glaucoma, automatically distinguish between normal eyes and eyes with glaucoma, and evaluate the method's validity using the measures of accuracy, sensitivity, and specificity We adopted a machine learning approach in conducting automatic feature extraction of the retinal rim through three main stages: 1) image acquisition, 2) pre-processing, and 3) classification. We used a dataset from RIM-ONE for normal eyes images and DRISTHI-GS for glaucoma images.Classification was carried out on 154 images (80 images for glaucoma images and 74 images for normal images). Regarding true positive, false negative, false positive, and true negative, we examined the sensitivity, specificity, and accuracy of automatic extraction and classification. The highest findings are 96.10%, 98.75%, and 93.24%, respectively. This study showed that automatic texture features and classification are possible, accurate and important in detecting glaucoma
Design of Interactive Health Promotion Portal Prototype at House of Health Promotion TeFa
TeFa House of Health Promotion at Polije is a Teaching Factory that is currently initiated by the Health Department's Health Promotion study program. This TeFa serves as a platform for health communication, information, and education, as well as a space for research and the dissemination of research findings by faculty and students. Based on the conducted situation analysis, TeFa Health Promotion House currently lacks integration of communication, information, and education media into health promotion activities. This deficiency leads to suboptimal management of health media content. The aim of this research is to create a web portal design for this problem. The method used to develop this portal design is the User-Centered Design method. The results of testing and design analysis conclude that the portal design developed aligns with user expectations. The main features include Articles, Consultations, Videos, Audio, and Polls. For further research, the design can be expanded into an applicatio
Health Service Innovation Strategy of TEFA House of Health Promotion with SWOT Analysis
Teaching Factory (TEFA) House of Health Promotion establishment is to enhance healthcare services and public welfare quality. An in-depth analysis is needed to determine the internal and external factors that could influence the creation of TEFA. This research aimed to analyze the Health Service Innovation Strategy of TEFA House of Health Promotion using SWOT analysis. This research method was qualitative, instrument using questionnaires given to TEFA staff and data analysis conducted using SWOT analysis. The research results were based on the SWOT analysis diagram, indicating that TEFA House of Health Promotion was in quadrant I (aggressive quadrant). The recommended strategy is to develop TEFA as a service provider in the health promotion sector. The management of TEFA must create an effective management organizational structure, design a comprehensive TEFA business plan and strategy, and construct a clear workflow and performance Standard Operating Procedure (SOP). It also required a well-defined management and service governance SOP and a well-structured work program. Extend promotions locally and reach a broader audience by utilizing promotional media. Overall, the proposed service innovation strategies are expected to assist TEFA House of Health Promotion in achieving its goal of enhancing the quality of health services and overall public health
Improvement Strategy to Reduce Delay in Returning Inpatient Medical Record at Jenggawah Primary Health Center in 2023
Delay return of inpatient medical records still occur at Jenggawah Primary Health Center with an average percentage 52,15%. This situation leads to misfiled records, potentially causing disruptions and errors in patient care. The purpose’s research was to develop a strategy to reduce delay return of inpatient medical records using action research. This research methodology is quasi-semi-experimental methodology, incorporating interviews, observations, documentation, and discussions for data collection. Results in diagnosing action, the delay in returning the medical record of inpatient was caused by the officers' lack of medical record knowledge and their lack of medical record training, the contents of the SOP, which required evaluation, and the tracer's inadequate work. Planning action to plan strategy which are hold medical record training, reviewing returning medical record’s SOP and redesigning tracer. Taking action to implement strategy during 3 month. There is the evaluation action, which includes 4 success parameters. Overall, it is considered successful if the percentage of delays in returning inpatient medical records is dropped to a maximum of 50% per month. Evaluating action to evaluate taking action were carried out properly because the percentage of delays in returning inpatient medical record was reduced below 50%. It’s hoped medical recorder always monev and remind each other regarding the return of inpatient medical records. And it’s hoped Jenggawah Primary Health Center will hold in house training, hold socialization of SOP and budgeting funds for supporting facilities
Audio Visual Aid’s Development of Health Promotion Media With Design Thinking at Nutrition Care Center
Teaching Factory Nutrition Care Center (NCC) is a synergistic product of the Jember State Polytechnic and the world of business and industry (DUDI). The development of NCC supports student practice learning in conducting nutrition interventions. The research aims to develop an efficient and attractive NCC-promotive educational media. This research is a Research and Development (R&D) with the approach that is used design thinking. It requires a designer to be able to analyze a problem, express creative ideas, experiment in making a prototype, to collect the proper feedback regarding the media created. The study results show that the audio-visual media that will be developed are the NCC mascot, profile videos, and nutrition education videos. Through the ideate and prototype stages are an egg mascot called Si Nucca, an acronym for the Nutrition Care Center. The character of eggs describes foods with high nutritional value and are affordable by the community. The results of media validation by the material and media validators got good results ( score of 4.7). Acceptance test results show a score of 4.47 with a good interpretation on the aspects of effectiveness, attractiveness and efficiency. The conclusion is that the audio-visual media that has been developed is feasible to be tested on the public
FAST Method to Design Web-Based Patient Registration System
Manual patient registration at the Polyclinic of Politeknik Negeri Jember (POLIJE) offers ineffectiveness in the patient services. Long waiting time and uninformed service hours at the polyclinic are two problems that need to solve. This study aimed to design a website-based registration system for the POLIJE Polyclinic. The researcher used the FAST (Framework for the Application of System Thinking) method. This method has detailed stages and is capable of producing more efficient, effective, accurate and timely data and information management. The application was built using PHP programming language with Laravel Framework. The registration system was implemented using RFId on patient cards to make the process of reading and registering patient data faster. The web-based registration system with RFId patient cards functions well with features: new patient registration, registration of patient visits with RFId cards, patient queues, verification of patients who register online, as well as patient, doctor and clinic data management
Digital Marketing Prototype of Electronic Growth Chart (e-KMS)
Currently, Indonesia is facing serious Multiple Nutritional Problems (MGG) with 30.8% stunting and 35.4% obesity rates. The Healthy Growth Card (KMS) serves as an instrument for growth monitoring, particularly related to nutritional status. Growth disturbances, such as malnutrition due to both nutritional deficiencies and excesses, can be detected early by plotting weight on the KMS. Websites are a form of internet marketing and an effective part of digital marketing for disseminating information and promoting products. This research aims to create a prototype for digital marketing electronic Growth Chart (e-KMS). The research employs the software system development method using the Prototype model. The prototype is designed using UML (Unified Modeling Language) and case tools. The digital marketing prototype is a website-based platform with capabilities for promoting and registering online at the Polytechnic Institute of Jember (Polije) Daycare, as well as serving as a Communication Information and Education (CIE) medium for assessing and monitoring the nutritional status of children in the form of e-KMS. Program coding is needed to make the prototype usable as a digital marketing tool for e-KMS, enabling the monitoring of children's growth to be implemented in childcare institutions
Design of Nutrition Consultation Service Application at the Teaching Factory Nutrition Care Center of Politeknik Negeri Jember
A website is one of the digital healthcare service platforms that can be accessed through smartphones, facilitating the connection between healthcare providers, nutritionists, and the public for healthcare services. The Teaching Factory Nutrition Care Center is a nutrition service center managed by healthcare providers from the Department of Health at Politeknik Negeri Jember. Clients visiting the center can receive health consultations related to tracking their health, adopting a healthy diet, daily nutrition consultations, issues related to stunting in infants and toddlers, as well as consultations for pregnant mothers. The identified problem is the lack of a profile website that provides information to the public and the manual booking of consultations through staff or via WhatsApp. Result: A design proposal for a web-based application is suggested as a promotional and informational platform. It should have features including an information menu for healthy diets related to various diseases, a schedule of nutrition counselors, an online chat with nutrition counselors, and information related to articles or news about health and nutrition. The design process followed the waterfall method up to the design stage. The website design has been successfully completed