Abstract:Thalassemia is a blood disorder that is passed down genetically from parents to their children. The body cannot form normal red blood cells resulting in them being damaged easily and having a short life of less than 120…
days and anemia, requiring continuous blood transfusions to maintain hemoglobin levels in the body. A history of repeated blood transfusions can cause excess iron in the body which is characterized by an increase in serum ferritin levels which can cause damage to kidney function by looking at creatinine levels. The purpose of this study was to determine whether there is a relationship between ferritin and creatinine levels in children with thalassemia. This study used a quantitative method with a cross sectional approach. The sampling technique used in this study was the total sampling technique. The sample used was 12 samples. Data processing in this study used the Shapiro-Wilk Normality test and the Pearson Correlation test in bivariate analysis. The results of the analysis of this study indicate that there is no significant relationship between the ferritin and creatinine levels in children with thalassemia where the value of Sig. 0.212 > 0.05 (p> 0.05), and shows a significant negative correlation of -0.389. This study in thalassemia children had high ferrtin levels but creatinine levels were still within normal limits.
Abstract:Technology is developing very rapidly and continues to change from year to year. Therefore, the latest digital marketing trends will continue to emerge which are adapted to the conditions and situations of that year, but…
there are still some groups of people who do not understand the importance of digital trends, because competition for marketplaces or online shopping sites in Indonesia is currently getting tighter, the competition that is happening is not only from domestic shopping sites but also foreign ones that have entered the domestic market. This research aims to analyze the influence of satisfaction, trust and ease of use on customer loyalty in the Shopee marketplace in Dwikora sub-district, Medan Helvetia sub-district. This type of quantitative research with the independent variables used in this research is satisfaction, trust and ease of use and the dependent variable used is customer loyalty. The population used in this research is all people in Medan Helvetia sub-district. This research took samples using a purposive sampling method and there were 100 respondents who were deemed worthy of being research criteria. The research results show that partially and simultaneously satisfaction, trust and ease of use have a significant positive effect on customer loyalty.
Abstract:The purpose of this study was to determine the entrepreneurial spirit, self-efficacy and personal characteristics on the interest in entrepreneurship in SMA sultan Iskandar muda medan. Methods of data collection using a…
questionnaire. Sampling with the slovin method. The results of this study indicate that the entrepreneurial spirit has a positive and significant effect on the interest in entrepreneurship in SMA sultan Iskandar muda medan. Self-efficacy has a positive and significant effect on the interest in entrepreneurship in SMA sultan Iskandar muda medan students. Personal characteristics have a positive and significant effect on the interest in entrepreneurship in SMA sultan Iskandar muda medan students. Simultaneously entrepreneurial spirit, self-efficacy and personal characteristics have a positive and significant effect on the interest in entrepreneurship in SMA sultan Iskandar muda medan students.
Abstract:Observations and observations to seek information on human resources and natural resources in coastal areas to create regional regulations for coastal communities that are integrated with local culture and wisdom that respects…
spects culture, customary law and the legal rights of the stakeholders involved. This is important to ensure the implementation of the program in terms of overall development of coastal areas in all fields. Budget planning that is right on target and collective aims to ensure that the plans made will be realized so that the development of coastal areas will be better. By creating data on coastal resources that is implementation-oriented in promoting coastal area management and strategic goals, such as economic development and food security, protecting public health, preventing conflict, and protecting environmental sustainability through coastal resource management.
Abstract:This study were aimed to (1) To study the effectiveness of white turmeric extract Curcuma domestica .Vall in treating a mouse Cromileptes altivelis from the attack of Vibrio alginolyticus., (2) To study the dose of the best…
est white turmeric extract in treating a Cromileptes altivelis from attacks by bacteria Vibrio alginolyticus. (3) To study the effect of white turmeric extract against the survival rate Mouse grouper (Cromileptes altivelis), which in the infection of Vibrio alginolyticus. The experiment was arranged with a Completely Randomized Design (CRD). Preliminary research conducted LD50 test to determine the pathogenic bacterium V. alginolyticus which caused the death of test fish as much as 50%. In vitro test was done to see anti-bacterial activity of white turmeric extract against V. alginolyticus. From this test, the optimum concentration of white turmeric extract the effective tackling of V. Alginolyticus was obtained was obtained Test in vivo was carried out to determine the effect of the bacteria V. alginolyticus against Cromileptes altivelis healing response in Cromileptes altivelis after giving white turmeric extract. Results showed that (1) MIC and MBC values obtained by concentration of 0.25% and 0.75%, where the concentration of 0.75% was the effective dose of white turmeric extract in tackling the V. alginolyticus (2) The best treatment dose of the best survival rate of Cromileptes altivelis was 1% of white turmeric extract (3) the Survival Rate of mouse grouper wasn’t effected by white turmeric extract treatment significantly
Abstract:Sales forecasting is a crucial component of operational strategy and inventory management in the culinary industry, particularly for businesses dealing with raw materials that have short shelf lives. The Sate Padang Hapis…
s business faces the challenge of unpredictable monthly fluctuations in consumer demand, which often lead to supply imbalances, overproduction, or lost profit opportunities due to stockouts. This study aims to implement and analyze the accuracy of the Single Moving Average (SMA) quantitative forecasting method in predicting Sate Padang Hapis sales volumes for June 2026. Model performance was evaluated by assessing mathematical accuracy across two time-interval variations: 3-month and 5-month moving averages. Projection error rates were rigorously measured using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) parameters. The analysis reveals that the Single Moving Average model with a 5-month interval yields projections closest to actual data, achieving the lowest error rates (MAD: 28.00; MSE: 1,304.00; MAPE: 2.28%). Implementing this forecasting model provides management with an objective basis for decision-making, enabling the effective and efficient optimization of raw material logistics and supply management.
Abstract:Improper rice stock management in wholesale businesses can lead to shortages or overstock that negatively impact operational efficiency. This study aims to forecast rice stock needs at Warung Grosir Giran using the Weighted…
ted Moving Average method with a weighting of 1:2:3, based on historical data from January 2025 to June 2026. A quantitative approach with time series forecasting technique was applied. Accuracy was evaluated using Mean Absolute Deviation, Mean Squared Error, and Mean Absolute Percentage Error. The results show that the forecasted rice stock requirement for July 2026 is 1,456.67 kg. The accuracy evaluation yielded a Mean Absolute Deviation of 78.22, Mean Squared Error of 9,288.15, and Mean Absolute Percentage Error of 5.71%, which is classified as highly accurate. In conclusion, the Weighted Moving Average method is suitable as a decision-support tool for rice stock management at Warung Grosir Giran.
Abstract:Alumni data management is an important aspect for educational institutions, especially vocational high schools that focus on graduates’ readiness for the workforce. SMK Negeri 1 Kisaran still faces problems in managing alumni…
alumni data and tracking career paths due to manual and unintegrated processes. This study aims to implement a web-based alumni and career tracking information system to improve the effectiveness of alumni data management, facilitate communication between the school and alumni, and support graduate career tracking. The research methods used include observation and interviews with school staff and alumni. The system was developed using PHP programming language and MySQL database, with system design based on Unified Modeling Language (UML). The results show that the developed system is able to manage alumni data centrally, provide career path information, and generate accurate and accessible alumni reports. Therefore, this system can serve as an effective solution to improve alumni information services at SMK Negeri 1 Kisaran
Abstract:This study discusses the implementation of a web-based student e-attendance system at Baitussalam Islamic Boarding School using the Scrum method. This system was developed to replace manual attendance recording, which is…
inefficient, error-prone, and complicates the reporting process. The application of the Scrum method aims to ensure that the system development is structured, adaptive to change, and meets user needs. The e-attendance system has key features including multi-level authentication (admin, teacher, and principal), data management for students, teachers, classes, subjects, teaching schedules, semesters, attendance processes, reporting, and teacher performance monitoring. Testing was conducted using the blackbox testing method on eleven main modules. The test results showed that all system functions ran well without major errors. The system has been proven to improve the efficiency, accuracy, and transparency of attendance recording, as well as facilitate reporting. However, the system still has limitations, such as dependence on an internet connection and lack of integration with other systems.
Abstract:Academic achievement is a measure of students' learning outcomes, encompassing aspects of knowledge and skills. Academic performance serves as a crucial indicator in evaluating students' learning progress. MAS Al-Wasliyah…
h Petatal is committed to providing quality education but still faces limitations in applying technology to evaluate student learning. The current evaluation process relies on teachers' subjective assessments, which restricts the information about students' progress. Therefore, the implementation of machine learning is proposed as a solution to enhance objectivity in student learning evaluation through more effective data processing. The method used is the K-Means Clustering algorithm, which can group or classify data based on specific patterns. This study aims to evaluate the extent to which machine learning can process student learning evaluation data through the analysis results obtained from the clustering process, which are then used as benchmarks to improve the evaluation system and provide feedback for students needing improvement in their academic performance. The data used comprises students' grades from the odd semester of the 2024/2025 academic year, with a total of 210 data points. The clustering results produced three clusters: the "good" cluster with 60 students, the "average" cluster with 99 students, and the "low" cluster with 51 students.