The “Aku Anak Jujur” campaign is an anti-corruption educational program aimed at elementary and middle school students to instill honesty and integrity from an early age. The program aims to shape young generations to be aware of the dangers of corruption and the importance of honesty in daily life. Conducted online via Zoom, the program involved 16 participants. Materials were delivered through presentations, animated educational videos, interactive discussions, and games such as word scramble and fill the blank. The results showed that the interactive approach effectively engaged participants, enhanced their understanding of anti-corruption values, and encouraged self-reflection on honest behavior. This initiative successfully increased students' awareness of honesty and contributed positively to character development. Similar programs are recommended to be expanded to strengthen an anti-corruption culture from a young age.
 

This study aims to examine the role of innovation and business networks in the success of Mixue Pekalongan from the perspective of Islamic business ethics. As a global beverage franchise, Mixue has experienced rapid growth in Indonesia, including in Pekalongan, where the majority of the population is Muslim. The study employs a descriptive qualitative approach, with data collected through in-depth interviews, observations, and documentation. Key informants included the branch manager, employees, and consumers. The findings reveal that innovation includes regular product updates, digital marketing strategies via social media, and efficient, standardized operations. Meanwhile, the business network is supported through centralized supply distribution and cooperation among branches, which enhance operational efficiency and sustainability. The application of Islamic business ethics is reflected in honest transactions, fair treatment of employees, the use of halal-certified materials, and avoidance of usury and uncertainty in contracts. Mixue’s strength lies in its ability to integrate modern innovation with sharia principles, adding value in Muslim communities. The study concludes that innovation and business networks play a significant role in business success. It is recommended that branch offices be given more flexibility in local promotions and improved communication with headquarters. Future research may expand the scope to other branches to gain broader insight.

This study aims to analyze the influence of regional financial management, technology utilization, and regional financial accounting systems on the quality of regional government financial reports. The method used in this study is quantitative. Data were obtained by distributing questionnaires to respondents who had been determined using purposive sampling techniques. Data analysis techniques used in this study include descriptive statistics, validity tests, reliability tests, classical assumption tests, and multiple linear regression analysis. The results showed that regional financial management had a significant effect on the quality of regional government financial reports with a t count of 6.333> t table 1.668 and a significance of 0.000 <0.05. The use of technology had a significant effect on the quality of regional government financial reports with a t count of 5.837> t table 1.668 and a significance of 0.000 <0.05. The Regional Financial Accounting System had a significant effect on the quality of regional government financial reports with a t count of 4.102> t table 1.668 and a significance of 0.000 <0.05.

This study aims to analyze the application of Microsoft Word as a learning medium in an effort to improve students' soft skills at SMK Ibrahimy. This activity is designed to equip students with a practical understanding of Microsoft Word features that can support the learning process, such as compiling reports, creating official documents, and organizing information. The Microsoft Word application is very important to use in today's digital era, both for school children to college and even for workers. In addition, the researcher also emphasized the importance of soft skills such as neatness, accuracy, written communication, and the ability to work independently. Through interactive presentation methods and group discussions, students showed high enthusiasm and increased understanding of the application of Microsoft Word in academic and professional activities. The results of our understanding show that the use of appropriate digital media can be an effective means to strengthen the soft skills of SMK students

This study aims to analyze the effect of financial distress, capital size, and leverage on accounting conservatism in transportation sub-sector companies listed on the Indonesia Stock Exchange during the 2020–2023 period. This research uses a quantitative approach with multiple linear regression analysis. The data used are secondary data obtained from annual financial reports. The sample consists of 10 transportation companies selected using purposive sampling. The results show that financial distress has a significant negative effect on accounting conservatism, capital size has a significant positive effect, while leverage has no significant effect. Simultaneously, these variables have a significant effect on accounting conservatism with a contribution of 26.9%.

Chronic Kidney Disease (CKD) is a major global health issue that can lead to serious complications and long-term medical care. This study aims to identify key clinical factors associated with CKD status using binary logistic regression analysis. The dataset, obtained from Kaggle, contains 400 patient records with various clinical and demographic attributes. The dependent variable is CKD status (positive or negative), while the independent variables include age, blood pressure, hemoglobin level, urine albumin level, and serum creatinine. Initial analysis involved descriptive statistics and multicollinearity checks, followed by model estimation and evaluation using likelihood ratio and Wald tests. The final model identified four significant predictors: blood pressure, hemoglobin, urine albumin, and serum creatinine. The model achieved a high classification accuracy of 95.50% and an Area Under the ROC Curve (AUC) of 98.78%, indicating excellent predictive performance. These results highlight the importance of these clinical indicators in early CKD detection and support their use in risk assessment models for kidney disease screening
Keywords: Chronic Kidney Disease, Binary Logistic Regression, Likelihood Ratio Test, Wald Test, Classification Accuracy

This study presents an evaluation of the cooling load capacity in the departure apron corridor area at Supadio International Airport using the Cooling Load Temperature Difference (CLTD) method. The objective of the research is to assess whether the current air conditioning (AC) is adequate to meet thermal comfort requirements in a tropical climate characterized by high humidity and strong solar radiation. A detailed field survey was conducted at Gate 3, a glass-dominated corridor that experiences significant heat gain from solar exposure. Empirical data including temperature profiles, material properties, occupancy levels, and equipment specifications were collected over a two-week period using digital instruments. Using the CLTD method, the heat contributions from walls, roof, glass surfaces, occupants, lighting, and air infiltration were quantified. The results revealed that the installed AC (2 PK) only delivers about  of the required cooling load, with the total load estimated at 66,448 BTU/hr. The dominant sources of thermal gain include the roof and east-facing glass panels. The study recommends AC resizing, glass shading implementation, and improved insulation to enhance energy efficiency. This research contributes practical insights for HVAC optimization in airport infrastructure within hot-humid climates.

This journal examines the factors that have the potential to cause delays in the implementation of the Dempsey Hill residential housing construction project, North Citraland, Surabaya. Projects managed by CV. Tirta Kusuma has a target of completion in 10 months, but there are indications of delays that affect the schedule and costs. This study aims to identify and analyze the dominant factors causing delays, such as project management, material procurement, and human resources. The methods used include observation, questionnaire distribution, and literature study. The results of this analysis are expected to provide recommendations to improve time management, resource efficiency, and control of future construction projects. The results of data analysis in this study indicate that project delays are primarily caused by material delays and errors in work execution, as concluded based on the results of factor analysis.

This study aims to develop an accurate predictive model for identifying students at risk of academic dropout using Decision Tree and Random Forest algorithms. The research utilizes a publicly available dataset sourced from Kaggle, which includes academic and demographic features such as GPA, attendance, credit load, financial aid status, and exam scores. The methodology involves several stages: data collection, preprocessing (handling missing values, encoding categorical variables, and feature scaling), model training, and evaluation using performance metrics such as Accuracy, Precision, Recall, F1-Score, and Confusion Matrix. Results show that the Random Forest algorithm outperforms Decision Tree in terms of accuracy and robustness, with notable feature importance on math, reading, and writing scores. The findings highlight the potential of machine learning in early detection of dropout risks and provide actionable insights for academic institutions to design timely interventions. This research contributes to the growing field of educational data mining and supports data-driven decision-making processes in higher education management.

This research is a case study with the object of research on Tenun Ikat Ina Sabu located at Jalan Sukun I, RT 009 / RW 004, Oepura Village, Maulafa District, Kupang City, East Nusa Tenggara. The purpose of this study was to determine and explain the production planning of Tenun Ikat Ina Sabu in Kupang City. The types of data used are qualitative and quantitative. Data collection techniques in this study were interviews, observations, questionnaires and documentation. While the data analysis techniques used are Linear Trend and Break Even Point (BEP). The results of the Linear Trend calculation show that in 2024 Tenun Ikat Ina Sabu will produce 383 pieces of sarong, 358 pieces of blanket and 284 pieces of shawl, then the amount produced for 2025, 414 pieces of sarong, 332 pieces of blanket and 303 pieces of shawl, and the amount produced for 2026, 445 pieces of sarong, 402 pieces of blanket and 322 pieces of shawl. The results of the Break Even Point (BEP) analysis in 2023 show that if Tenun Ikat Ina Sabu produces 1,060 pieces of ikat weaving or around Rp.90,343,129, then the company does not make a profit or loss.