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Leishmaniasis is recognized as a significant health concern in Iraq. The disease begins with minor elevations (papules) and progresses into ulcers. Epidemiological investigations play a crucial role in managing and implementing effective preventive strategies for this disease. This study examines the epidemiology of cutaneous leishmaniasis in Iraq over the past 7 years. This descriptive-analytical cross-sectional inquiry analyzed data concerning patients with cutaneous leishmaniasis over the previous 7 years at the Iraq Health Center. Demographic and epidemiological data of the patients were collected from healthcare centers in Iraq through collaborative efforts with healthcare facilities. Using SPSS software, epidemiological records of the patients were extracted and subjected to statistical analysis employing the chi-square test. Out of 175 patients examined, 88 were male (53%), and 87 were female (47%). The majority of patients belonged to the age bracket of 9 months to 4 years, with the lowest number of cases in the age group of 40 to 49 years. Mainly, the manifestations of the disease were observed on the facial region and limbs. Furthermore, a statistically significant correlation was observed between age groups and the type of leishmaniasis (P > 0.05), as well as between gender and the type of leishmaniasis (P > 0.05). According to the conducted analysis, the prevalence of the disease in Iraq showed a declining trend from 2008 to 2014. This reduction in the disease incidence can be attributed to the improvement in health education status and the adherence to personal hygiene practices among the population

SMK Negeri 3 Jayapura is one of the vocational schools specializing in technology engineering in Jayapura City. There are three primary issues at SMK Negeri 3 Jayapura. First, the limited competence of teachers in microcontroller programming. Second, there is a lack of facilities and infrastructure for microcontroller practical work. Third, the low achievement and interest of students in the latest technological developments. The proposed solutions in this community service activity include: conducting training on Arduino Uno and Espressif microcontrollers using the Arduino IDE programming platform, developing practical modules for microcontrollers, sensors, and actuators, providing a master file for Arduino Uno programs, installing the necessary software on school computers, conducting robotics training for students. All five solutions were successfully implemented and received positive appreciation from both students and teachers at SMK Negeri 3 Jayapura.

These advanced analytical capabilities powered by big data comes into play in the world of forensic accounting as the new frontier in identifying corruption and fraud. Since corruption and fraud must be tackled with all available tools in developing countries such as Iraq, this study delves detail into the notable positive impact of big data on the practices of forensic accounting. With a descriptive methodology and statistical analysis, it is the results shows that the big data in forensic accountant can make it easier for forensic accountants to analyze complex datasets, triangulate, analyze using software, improve risk management to detect fraud, financial irregularities effectively. Overall, the study highlights that big data can be fully utilized in forensic accounting if sufficient investment is made on infrastructure, training, and technology adoption in the respective industry, with implications for education, practice, and policies development.

Significant changes have occurred in the economy, especially in developing countries such as Indonesia, where the economic, development and industrial sectors continue to improve. Manufacturing companies in the cosmetics subsector are an industry that has quite intense competition in Indonesia. According to the first quarter of 2020 data from the Central Bureau of Statistics, the market growth of this industry averaged 5.59% per year. This is expected to continue in the coming year. The implementation of supply chain management (SCM) will support organizations to have a good performance system. PT Zoey Cosmedica Putra (Maklon Kosmetik) is one of the manufacturing companies engaged in the cosmetics industry. The purpose of this study is to analyze the effect of supply chain management on company performance. Data processing using the Structural Equation Modeling - Partial Least Square (SEM-PLS) method using Smart PLS software version 4.0. The results of SCM factor analysis research measured by independent variables, namely relationships with suppliers (X1), relationships with customers (X2) and the level of information sharing (X3) with the dependent variable, namely company performance (Y). Shows X1 and X3 hypotheses have an influence, while the X2 hypothesis has no effect.

An information system is used to manage and present data so that it benefits an organization. Effective financial management is crucial for government agencies, including the Medan City Transportation Department, to ensure transparency and accuracy in financial records. However, the manual method still used has weaknesses, such as recording errors and reporting delays. Therefore, this study aims to design and develop a web-based financial information system to address these issues.The system features transaction recording, financial reporting, real-time data processing, and more efficient budget management. This study uses the waterfall software development approach, which includes analysis, design, implementation, testing, and maintenance. The results show that this system can improve work efficiency, reduce errors in financial management, and support data-driven decision-making.  

Customer satisfaction is very important for the continuation of a business because customer satisfaction can influence customer perspectives on products and services. The phenomenon that occurred in this study was a decrease in the market share of starbucks products in 2021-2023. The purpose of this study was to analyze the effect of innovation, promotion, product quality, price and service quality on customer satisfaction. This research was conducted on consumers of starbucks products in the Indonesian region. The data used in this study are primary data obtained from distributing questionnaires to respondents using google form. Data analysis in this study used multiple linear regression with the help of SPSS software version 26. The sample in this study were 97 respondents. The sampling technique used probability sampling with accidental sampling method. The results of this study explain that 1) innovation has a positive effect on customer satisfaction 2) promotion has a positive effect on customer satisfaction 3) product quality has no effect on customer satisfaction 4) price has a positive effect on customer satisfaction 5) service quality has a positive effect on customer satisfaction.

This study aims to analyze the influence of Love of Money, Intellectual Intelligence, Emotional Intelligence, and Spiritual Intelligence Influence Students Perceptions of Accounting Professional Ethics. The objects of this study are students of the Accounting study program from Panca Budi Development University and the University of North Sumatra. This study uses a quantitative approach with an associative research type. The research population consists of students from the 2020 to 2022 intake with a total of 1,647 people, including 467 students from Panca Budi Development University and 1,180 students from the University of North Sumatra. The sample was determined using the Slovin formula, so that 94 respondents were obtained as research samples. The data used consists of primary and secondary data. Primary data was collected by distributing questionnaires to respondents, while secondary data was obtained from various sources such as reports, books, documents, and relevant scientific publications. Data analysis was carried out using SPSS software version 25. Analysis techniques include descriptive statistical analysis, validity and reliability tests, and classical assumption tests that include normality, multicollinearity, and heteroscedasticity. Furthermore, multiple linear regression analysis was conducted and hypothesis testing was carried out using the t-test and coefficient of determination (R²). The results of the study indicate that partially, the variables Love of Money, Intellectual Intelligence, Emotional Intelligence, and Spiritual Intelligence have a positive and significant Influence Students Perceptions of Accounting Professional Ethics.

Background: The advancement of digital technology has transformed how consumers interact with brands, including in the skincare industry. Social media, particularly Instagram, has become an effective platform to enhance brand awareness and influence purchasing decisions. This study aims to analyze the effect of social media marketing and brand awareness on the purchasing decisions of Skintific products on Shopee, a leading e-commerce platform in Indonesia.Design/methodology/approach: This research employs a quantitative approach using a survey method. Data were collected through an online questionnaire distributed to 97 respondents who met specific criteria, such as having purchased Skintific products on Shopee. The data were analyzed using multiple linear regression with SPSS software to examine the influence of independent variables on the dependent variable.Results: The findings reveal that social media marketing and brand awareness have a positive and significant impact on consumers' purchasing decisions. Social media marketing, through engaging and interactive content, effectively increases consumer interest, while brand awareness strengthens product image in consumers' minds, encouraging them to make purchases.Research limitations/Implications: This study has several limitations, such as being limited at Jakarta and having a relatively small sample size, making the results less generalizable to all consumers in Indonesia. The implications of this research provide insights for skincare business practitioners about the importance of digital marketing strategies, particularly through social media, to boost sales.

The increasing population triggers a demand for land for housing and other activities. Along with this, issues arise regarding the limited availability of land, especially in rapidly developed areas. This limitation has the potential to create an imbalance between the growing need for space and the existing land capacity. This study evaluates the land carrying capacity in four sub-districts in the southern part of Medan City, namely Medan Tuntungan, Medan Johor, Medan Amplas, and Medan Denai, in dealing with the continuously growing population. Using a spatial analysis approach with ArcGIS 10.8 software and detailed spatial data, this research identifies potential areas for residential development and projects the capacity of land to accommodate future populations. The analysis covers physical and environmental aspects such as land slope, soil type, natural disaster risks, and access to public facilities. The results show that each sub-district has different potentials and challenges. Medan Tuntungan, with its large area and flat land conditions, shows significant potential for residential development, although attention must be given to the existence of protected areas and agricultural land that must be preserved. Medan Johor, as an economic center, faces substantial pressure on land use, with some areas nearing their maximum capacity. Medan Amplas and Medan Denai, which are more urban, experience stricter land limitations. Population growth projections indicate a significant increase in land demand in some sub-districts in the coming decades. Without effective management, this has the potential to exert high pressure on the environment and urban infrastructure. This research emphasizes the importance of spatial planning and sustainable development policies to maintain a balance between housing needs and environmental conservation.

The purpose of this study is to examine the effect of green accounting, operational efficiency, and marketing effectiveness on financial performance in mining companies listed on the Indonesia Stock Exchange (IDX) in 2021-2023. This study uses a quantitative method based on annual financial report data and annual reports for 3 years (2021-2023) from Mining Companies listed on the Indonesia Stock Exchange (IDX). The research sample includes 83 companies with a total of 249 observation data for (3) periods. Data analysis was carried out using Eviews 12 software with the Multiple Regression Analysis method based on panel data with the Common Effect Model (CEM) method. The results of the study show that Green Accounting has a positive and significant effect on financial performance. Conversely, Operational Efficiency does not have a significant effect on financial performance, while Marketing Effectiveness has a positive and significant effect on financial performance.

The increasing unpredictability of climate change demands a system capable of automatically detecting rainfall and providing early warnings. This study aims to design and develop a rain detection system based on a water sensor and LED using an Arduino Uno microcontroller. The system operates by detecting water presence on the rain sensor and providing a visual indication through an LED. The research methodology follows a Research and Development (R&D) approach, including literature review, hardware and software design, implementation, and system testing. The test results indicate that the system can accurately detect rainfall and respond to weather changes in real-time. This system has the potential to be applied in various sectors, such as agriculture, transportation, and industry, to mitigate risks caused by sudden rain. Further development can integrate Internet of Things (IoT) technology for remote weather monitoring.

This research aims to determine the effect of service features and promotions on increasing users of Wondr by BNI services with user satisfaction as an intervening variable. This type of research is quantitative. The population in this study were BNI customers of the Medan Industrial Estate Branch Office who were registered and had used the new digital service application WONDR by BNI. The total population was 16,769 customers with a sample of 391 respondents. Data was collected by questionnaire with a Likert scale, validity testing, reliability and hypothesis testing were carried out using SmartPLS ver 4.0 software. The results show that service features have a significant direct effect on user satisfaction, service features have a direct effect on increasing the number of users, promotion has a direct effect on user satisfaction, promotion has a direct effect on increasing the number of users, user satisfaction has a direct effect on increasing the number of users, service features have an indirect effect on increasing the number of users through user satisfaction as an intervening variable, promotion has an indirect effect on increasing the number of users through user satisfaction as an intervening variable. These findings indicate that user satisfaction plays an important role in strengthening the effect of service features and promotions on increasing the number of service users. Therefore, to sustainably increase the number of users, Wondr by BNI needs to optimize service features that are responsive to user needs and implement promotional strategies that can increase user satisfaction and loyalty.

Digital screen printing training is a strategic step to address the need for enhancing entrepreneurial skills in an increasingly competitive digital era. This program is conducted intensively, with a primary focus on providing knowledge and practical skills in digital screen printing techniques. The training is designed to include brief theoretical sessions, in-depth hands-on practice, and intensive mentoring to ensure participants can produce high-quality screen printing products ready for the market.The participants consist of 25 individuals from Gentala Hospitality School who aim to build or develop creative businesses in the field of digital screen printing. The results of the training show a significant improvement in mastering digital screen printing techniques, skills in using design software, and the ability to create marketable products. This training is expected to help participants start professional digital screen printing businesses and support the growth of the creative economy in Jambi.

Image processing has become a key technology in visual data analysis, making significant contributions across various fields such as healthcare, security, and the creative industry. This article provides a comprehensive review of the application of image processing technology in visual data analysis, focusing on the latest methods, tools, and practical applications. We discuss various image processing techniques, including segmentation, edge detection, and pattern recognition, as well as how these techniques are applied to process and analyze visual data. The study also includes performance evaluations of various commonly used image processing algorithms and software. Additionally, we explore the challenges faced in applying this technology, such as image resolution issues, noise, and high computational demands. By offering an extensive overview of the development and implementation of image processing technology, this article aims to be a valuable reference for researchers and practitioners working in the field of visual data analysis.

This community service activityto aims to implement the Computer Applications course to enhance information technology literacy among the children of Hidayatullah Orphanage in Palembang. The program comprehensively introduces both hardware and software components of computers. Furthermore, the activities focus on knowledge transfer through interactive education to ensure participants acquire a solid understanding of technology and its effective utilization. The strategy employed to impart knowledge on computer applications includes socialization and hands-on practice with computer devices and relevant applications for the children at the orphanage. Through this initiative, the children, particularly students, gain valuable opportunities to build a strong foundation in digital skills, equipping them to navigate the rapid advancements of information technology in the modern era.

This study aims to analyze the effect of inflation, exchange rates, and interest rates on the Jakarta Composite Index (JCI) in the Indonesia Stock Exchange (IDX) during the period of 2017-2022, both partially and simultaneously. The approach used is quantitative with time series data covering inflation, exchange rates, interest rates, and the JCI. The data used in this study consists of 288 observations, with each variable having 72 data points. The analysis method includes multiple linear regression, classical assumption testing, hypothesis testing, and coefficient of determination, with the help of SPSS 27.0 software. The results of the study show that: (1) inflation has been positive and significant effect on the JCI, (2) exchange rates have a positive but insignificant effect on the JCI, (3) interest rates have a negative and significant effect on the JCI, and (4) simultaneously, inflation, exchange rates, and interest rates have a significant effect on the JCI in the Indonesia Stock Exchange during the period of 2017-2022.

This study aims to determine the forecasting of stock return volatility of energy companies listed on the Indonesian Sharia Stock Index (ISSI) using the ARCH/GARCH method. This study uses purposive sampling method and uses secondary data in the form of daily stock returns from January 2022 to June 2024 on 10 selected stocks. Data processing is done using Stata software. The results showed that of the 10 selected stocks, only 6 stocks, namely BYAN, ADRO, GEMS, PTBA, AKRA, and BSSR, were suitable for analysis using the ARCH/GARCH model. Meanwhile, PGAS, ITMG, PTRO, and HRUM do not show ARCH effect or do not contain heteroscedasticity. Statistical evaluation of volatility prediction shows that the selected models provide good predictions. Among the six stocks analyzed, ADRO, PTBA, and BSSR show high volatility, while BYAN, GEMS, and AKRA show low volatility. Therefore, investors should consider investment risk when evaluating stocks with different levels of volatility.

Road maintenance is a strategic effort to support community mobility and economic development. This study aims to determine the optimal duration and analyze the cost impacts of implementing the Time Cost Trade Off (TCTO) method. The method is applied through critical path analysis and adding overtime hours to reduce the project duration. Data is collected from project documents such as daily reports, S-curves, and cost budget plans, then analyzed using Microsoft Project software. The results show that the project duration can be shortened to 117 days with an additional cost of IDR 176,614,724.00, which is lower than the potential delay penalty of 1% per day. This adjustment leads to a time savings of 8.6% without causing significant changes to the project's organizational structure. The TCTO method proves to be a practical solution for addressing delays while maintaining a balance between time and cost.

This research compares three forecasting methods, namely Single Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Triple Exponential Smoothing (TES), in analyzing the realization of the Medan City Regional Budget (APBD) for the 2019-2024 period. This study aims to find the most accurate method in forecasting the budget, so that it can help optimize the use of APBD by local governments. The APBD realization data was analyzed using Minitab software, and the accuracy of the method was measured based on Mean Absolute Percentage Error (MAPE). The results showed that TES has the smallest MAPE value of 0.12%, compared to SES (12%) and DES (14%). Thus, TES is the best method to predict the budget realization in the following year, producing a forecasting value of 5,500.86 million rupiah. This research is expected to support the government in making more precise and efficient budget decisions.

Along with the advancement of time, technology in the era of globalization demands that humans work more professionally, and it is required in various fields or public institutions and organizations that use computers to support operational activities and internet networks across different levels of society. SMP Negeri 4 Mauliru is one of the Junior High Schools located in Mauliru Village, Kambera District, East Sumba Regency, East Nusa Tenggara Province. This school has a mission to improve the quality of education and always strives to provide quality guidance to its students. The payment of the Committee Fund is an agreement among the parents or guardians of students to support the school's needs that are not covered by the BOS (School Operational Assistance) funds. One of the school's operational activities that is essential for supporting the Committee Fund payment system still uses a conventional system, particularly in the preparation and payment of the committee fund, where a ledger book is still used for recording payments. This results in a long process and frequent errors in ledger book entries. The Committee Fund is a recurring payment that students must pay to the school once a month. The purpose of this research is to create a Web-Based Committee Fund Payment Information System at SMP Negeri 4 Mauliru to facilitate the school treasurer in recording committee fund payments in the ledger book. This research uses the waterfall development method. Waterfall is the most commonly used software development model. Several stages in the waterfall model include: Analysis, Design, Implementation, Testing, and Maintenance. Based on the results obtained, the average value of 70% falls within the "acceptable" range with a grade scale of "C" and adjective ratings in the "OK" category. Thus, the developed payment information system is suitable for simplifying the committee payment process for students.