Tuberculosis (TB) remains a serious public health issue in Indonesia. Rapid detection of new cases and reporting them to the national system is key to controlling the spread of the disease. The Health Information System (HIS) has great potential to accelerate this process, but its effectiveness is highly dependent on how the system is managed. This study focuses on evaluating the impact of HIS management in primary health care facilities in Metro City. Objective: To examine the impact of HIS management, as measured by system quality, information quality, and user competence, on the speed of TB case detection and reporting. Method: This quantitative study with a cross-sectional approach involved 60 health workers from 15 community health centers in Metro City, selected using purposive sampling. Data were collected through structured questionnaires, medical records, and system logs. Multiple linear regression analysis was used to test the hypothesis. Results: The analysis showed that system quality (β = 0.421; p < 0.05) and user competence (β = 0.389; p < 0.05) had a significant and positive effect on the speed of TB detection and reporting. Conversely, information quality (β = 0.112; p > 0.05) did not show a significant effect. Overall, HIS management contributed 68.7% (R² = 0.687) to the acceleration of this process. Conclusion: System quality and user competence are key factors in optimizing HIS for TB control programs in Metro City. These findings emphasize the importance of investing in technical infrastructure and improving human resource capacity to strengthen TB surveillance
This study aims to analyze the effect of quality management on inpatient satisfaction at General Hospital Metro City. The results showed that quality management had a significant effect on the satisfaction of inpatients at General Hospital in Metro City. Quality management of inpatient satisfaction in General Hospital General Metro City has a very important role in creating quality management of health service systems for the community, especially in the Metro City environment. Analyzing quality management of patient and community satisfaction in Metro City is also one of the efforts as an increase in the quality of the quality of health workers' services in order to create a good, systematic service system in order to increase satisfaction with the community in Metro City in an effort to build a good image for the wider community so that this is also an important, comfortable, quality and reliable factor for citizens and communities in the city of Metro so that the community can trust the quality and quality performance of the services of general hospitals in the heart of the community in the heart of the community in the heart of the community in the heart of the community in the heart of the community in the heart of the community in the heart of the community in the heart of the community in the heart of the community in the heart of the community in particular. Because with the management of good human resource management flexible and efficient, it will create a good impression for people in the city of Metro.
Keywords: Quality Management Of Patient Satisfaction In Hospitals
Wika Fitriana Purwaningtyas, Universitas Wira Buana
Mega Rahmawati, Universitas Wira Buana
Abstract
The need for information increases along with rapid technological advances. Accurate information is very important for predicting diseases in the medical field. Converting collected data into knowledge requires a specialized approach. This process is called data mining. Data mining is typically used to predict specific diseases based on patient medical records, particularly chronic kidney disease. The chronic kidney disease data were obtained from the Kaggle dataset. This study aims to examine the use, evaluate, and compare the performance of various classification algorithms, such as Gradient Boosted Trees, k-NN, Naive Bayes, Decision Tree, Random Tree, Generalized Linear Model, and Logistic Regression. The main objective is to find the algorithm with the highest AUC, accuracy, precision, and recall. The results of classifying the dataset using the Decision Tree and Generalized Linear Model algorithms showed outstanding performance, with the highest accuracy of 98.50%. On the other hand, the Naive Bayes and Generalized Linear Model algorithms achieved 100% recall, demonstrating an extraordinary ability to find all positive disease cases. Overall, these results provide important insights into the effectiveness of various data mining algorithms in predicting chronic kidney disease and lay the foundation for more accurate and reliable diagnostic systems in the future.
The postpartum period is a crucial time that begins immediately after the delivery process and lasts about six weeks, a mother's body undergoes physical changes to return to its pre-pregnancy state.It is important to recognize changes in the postpartum period because they can potentially be a risk factor, one of which is urinary tract (UTI) and urinary retention.The incidence of urinary retention varies between 1.7-17.9%.In Indonesia, the incidence of RUPP is around 14.8%. The purpose of this care is to provide postpartum midwifery care with Urinary Retention.The case report method used is the SOAP management approach.With the results of the assessment obtained subjective data Mrs. H aged 24 years, gave birth to her first child, never had a miscarriage, complained of not being able to urinate.The results of objective data are a full bladder and there is pressure pain.Analysis Mrs. H aged 24 years P1A0 Post Partum day 4 with urinary retention.The management provided is USG, Catheterization, administration of pharmacological and non-pharmacological therapy.The conclusion of the care that has been given to Mrs.H with Postpartum Urinary Retention.There is no gap between theory and the care provided.
Nausea and vomiting during the first trimester of pregnancy are physiological symptoms, but if left untreated, they can become pathological. Nausea and vomiting in early pregnancy can be reduced by using complementary therapy, namely by consuming dates. Dates are a high-energy food with an ideal composition, containing carbohydrates, omega-3, vitamin C, vitamin B6, Ca2+, Zn, and Mg. Dates are very rich in fiber and also contain potassium, manganese, phosphorus, iron, sulfur, calcium, and magnesium, which are excellent for consumption and reducing nausea and vomiting. The advantage of dates is that they can reduce stomach pain because they contain folic acid, vitamins, and calcium, which can inhibit serotonin, a neurotransmitter synthesized in serotonergic neurons in the central nervous system and enterochromaffin cells in the digestive tract, thereby providing a comfortable feeling in the stomach and overcoming nausea and vomiting. The research design method used a pre-experimental approach with a pre-test post-test single group design. The sample consisted of 25 pregnant women in their first trimester who experienced nausea and vomiting during pregnancy, selected using purposive sampling. The research tool used was the PUQE. Data analysis was performed using the Wilcoxon test. Results and Discussion: The results of the analysis showed a p-value of 0.000 (<0.05), indicating a difference in the average vomiting score before and after date administration, with an average decrease of 4.88. This shows that date (Phoenix dactylifera) administration has an effect in reducing the frequency of vomiting in pregnant women in their first trimester.
Sore nipples are one of the breastfeeding problems that often occur in postpartum mothers caused by incorrect breastfeeding techniques. Sore nipples can be prevented by implementing correct breastfeeding techniques and breast care. The aim is to provide comprehensive and continuous midwifery care for postpartum mothers through a management approach and document the care that has been provided with SOAP documentation. The method used is a case study, carried out at TPMB S in Febuary - March 2025. Intermediate data collection techniques include interviews and observations and secondary data include documentation and literature studies. Results after midwifery care was carried out on Mrs. D aged 25 years P1A0 with sore nipples. Management of midwifery care was carried out by carrying out good and correct breast care and breastfeeding techniques. Suggestions are expected to develop more theories and practices for postpartum mothers with sore nipples.
This research is motivated by the case of two midwives in Yogyakarta who from 2010 to 2024 were suspected of selling 66 babies under the guise of illegal adoption. This phenomenon raises legal issues regarding the proper procedure for lawful child adoption in Indonesia and how the practices carried out by the perpetrators fulfill the elements of the crime of child trafficking. The purpose of this study is to analyze juridically the legal procedures for child adoption as regulated in Indonesian legislation and to examine the illegal adoption modus operandi in the Yogyakarta midwives case from the perspective of criminal law and child protection law. The research method used is normative juridical with statutory, conceptual, and case approaches. Data were obtained through a literature review of regulations such as Law Number 23 of 2002 on Child Protection as amended by Law Number 35 of 2014, Government Regulation Number 54 of 2007 on the Implementation of Child Adoption, as well as relevant legal literature. The findings show that lawful child adoption procedures must go through a court ruling while considering the best interests of the child, administrative requirements, and supervision by the competent authorities. Meanwhile, the illegal adoption modus carried out by the midwives in this case clearly bypassed legal mechanisms, involved the buying and selling of babies with predetermined prices, and included biological parents who consciously handed over their children to be sold. The conclusion of this study is that the practices carried out by the perpetrators do not constitute adoption as defined in civil law but rather fulfill the elements of child trafficking as stipulated in Article 83 in conjunction with Article 76F of the Child Protection Law, carrying a maximum penalty of 15 years imprisonment.
Keywords: Illegal Adoption; Child Trafficking; Child Protection Law
This study focuses on developing an information system to more accurately predict the date of childbirth. The system utilizes a machine learning algorithm trained on clinical and demographic data from electronic medical records. Of the three models tested—Random Forest, Support Vector Machine (SVM), and Artificial Neural Network (ANN)—the Random Forest model demonstrated superior performance with an accuracy of 92.5%. This accuracy significantly surpasses conventional prediction methods. Therefore, this system can serve as an effective decision-support tool for medical professionals to manage labor and reduce potential complications.
Pregnancy involves various physiological changes, including physical changes and physiological changes. The changes that occur during pregnancy generally lead to discomfort such as difficulty sleeping, a tight abdomen, and vaginal discharge. The period that requires special attention is during the third trimester, as this is when there is an increasing growth and development of the fetus. The aim is to provide comprehensive and continuous obstetric care to pregnant women through a management approach, documenting the care provided using SOAP notes. The method used is a case study, conducted at TPMB F from February to March 2025. Data collection techniques included interviews and observations, as well as secondary data consisting of documentation studies and literature. The results of the visit provided obstetric care to pregnant women in the third trimester, with therapies administered to address difficulty sleeping, abdominal tightness, and vaginal discharge in pregnant mothers. Planning, implementation, and evaluation by providing counseling according to complaints and no gaps between cases and existing theory were found.
Keywords :Discomfort During Pregnancy, Difficulty Sleeping, Tight Abdomen, Leukorrhea
Nurris Septa Pratama Septa, Universitas Wira Buana
Alli Nurdin, Universitas Wira Buana
Nurma Hidayati , Universitas Wira Buana
Abstract
Tuberculosis (TB) remains a global health challenge, with Indonesia ranking second in the world in terms of the highest number of cases, with an estimated 969,000 cases in 2021. Despite national policies, such as Presidential Regulation No. 67/2021, targeting a 90% case detection rate, the national achievement in November 2022 was only 52%, indicating a serious gap in case detection. This study focuses on Metro City, Lampung, which presents unique challenges: although the TB cure rate is reported to be above 85%, its case detection rate was the lowest in the province during the 2011-2013 period, indicating many hidden cases. This study analyzes how strategic management can integrate community empowerment to address this detection problem, especially among pregnant women—a vulnerable group for which prevalence data in Metro City is still limited. Using literature review and policy analysis methods, this study synthesizes best practices from community empowerment models that have proven effective. The results identify the need for three strategic pillars: 1) integration of TB screening into antenatal care (ANC) services, 2) optimization of the role of cadres as the spearhead of active case finding and medication adherence monitoring (MAM), and 3) strengthening of cross-sector collaboration to address under-reporting from private facilities. These recommendations provide measurable guidance for designing effective and sustainable programs in the effort to achieve TB elimination by 2030 in Metro City.
Stunting remains a public health problem in Indonesia, including in Metro City, impacting long-term child growth and development. Nutrition education is a simple intervention that can be implemented to improve mothers' knowledge and feeding practices for toddlers, thus contributing to stunting prevention. This study aims to analyze the effectiveness of nutrition education in reducing the risk of stunting in toddlers in Yosomulyo Village, Metro City.The study used a quasi-experimental design with a one-group pretest-posttest approach. The population was all mothers with toddlers in Yosomulyo Village, with a sample of 50 respondents selected using a purposive sampling technique. The research instruments consisted of a nutrition knowledge questionnaire and a feeding practice observation form. Data were analyzed using a paired sample t-test with a significance level of 0.05.The results showed a significant increase in mothers' nutrition knowledge scores after education (p < 0.05). Furthermore, there was an improvement in feeding practices, particularly in terms of food variety and increased animal protein consumption. Although drastic changes in toddler nutritional status cannot be observed in a short period of time, there is a trend of improvement in weight-for-age (BW/A) and height-for-age (H/A).In conclusion, nutrition education has proven effective in improving mothers' knowledge and feeding practices and has the potential to reduce the risk of stunting if implemented sustainably. This intervention should be integrated into integrated health service post (Posyandu) programs and community health activities at the sub-district level to accelerate stunting reduction in Metro City.
Maternal mortality rate (MMR) is all deaths of women during pregnancy, childbirth, and postpartum period caused by its management but not due to other causes such as accidents or incidentals. The purpose of this study is to provide midwifery care to Mrs. M, 32 years old G3P2A0, 36 weeks 3 days of gestation with complaints of back pain and frequent urination at TPMB Bd. Eka Santi Prabekti, S.Tr. Keb in 2025. The method used is a descriptive research method and a descriptive research type with a case study. The place where this research was carried out was at TPMB Bd. Eka Santi Prabekti, S.Tr. Keb in 2025 in Central Lampung, Lampung Province in 2025. The time of implementation of this case study was on February 17 2025-March 15 2025. The subjects in this study were pregnant women with a gestational age of 36 weeks 3 days. The sampling technique and research subjects that will be used are purposive sampling. Midwifery care for Mrs. M, 32 years old, G3P2A0, gestational age 36 weeks 3 days with complaints of back pain and frequent urination has been carried out well. The diagnosis in this case is Mrs. M 32 years old, G3P2A0, gestational age 36 weeks 3 days, single fetus live intrauterine head presentation with complaints of back pain and frequent urination. Planning, implementation, and evaluation of Mrs. M, 32 years old, G3P2A0, gestational age 36 weeks 3 days, single fetus live intrauterine head presentation with complaints of back pain and frequent urination were carried out by providing counseling according to complaints and no discrepancies were found between the case and the existing theory
Coronary Heart Disease (CHD) is one of the leading causes of mortality worldwide, making early risk detection crucial. The advancement of machine learning technology offers significant potential in developing accurate and accessible prediction tools. This study aims to develop a web-based calculator application to predict the risk of CHD. The method used is a Random Forest classification model trained on the UCI Heart Disease dataset, which was chosen after being compared with several other algorithms. The model was then implemented into an interactive web application using the Streamlit framework. The research process included data preprocessing, model training, performance evaluation, and user interface development. The evaluation results showed that the Random Forest model achieved the best performance with an accuracy of 88.52%. The resulting application successfully provides a real-time risk percentage visualization via an intuitive gauge chart, making it easily understandable for lay users. This application is expected to serve as an effective preliminary screening tool to increase public awareness of CHD risk.
Antenatal examination is a health examination carried out by pregnant women during their pregnancy. The purpose of antenatal examination is to monitor the progress of pregnancy and detect early any abnormalities or complications that may occur during pregnancy. During pregnancy, antenatal examinations are carried out at least 6 times, health workers, especially midwives in carrying out antenatal examinations must provide services according to minimum standards or what is commonly known as 10T antenatal care. The purpose of this study was to provide 10T Midwifery Care to Mrs. N which was carried out at TPMB S on February 25, 2025 which included weighing and measuring height, measuring blood pressure, measuring LILA, measuring TFU, Determining Fetal Position (Fetal Presentation) and Calculating Fetal Heart Rate (FHR), Determining TT immunization status, Giving Fe tablets, Lab Examination, Discussion (counseling), Case management. The method used in the study was (Case Study).
