This activity aims to analyze the results of the study of Science Olympiad content outline on the subject of Quantities, Units and Measurement. This video was made using the PowerPoint application for the content, and the Ice Cream screen recorder to record. The research method uses a descriptive qualitative method with a sample of all viewers, the majority of whom are junior high school students. This activity can be concluded as effective by looking at the number of viewers reaching more than 28 thousand, the number of likes 920 without dislikes and 40 positive comments from viewers who accessed on March 12, 2025 at 21:37.

Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an F2-score of 0.849 on the tuned test data. This model can help businesses identify at-risk customers early, enabling proactive retention strategies.

Hotel booking cancellations pose significant challenges to the hospitality industry, affecting revenue management, demand forecasting, and operational efficiency. This study explores the application of machine learning techniques to predict hotel booking cancellations, leveraging structured data derived from hotel management systems. Various classification algorithms, including Random Forest, XGBoost, and LightGBM were evaluated to identify the most effective predictive model. The findings reveal that XGBoost model outperforms other models, achieving F2-score of 0.7897. Key influencing factors include deposit type, total number of special requests, and marketing segment. The results underscore the potential of predictive modeling in optimizing hotel revenue strategies by enabling proactive measures such as dynamic pricing, targeted customer engagement, and improved overbooking policies. This study contributes to the ongoing advancements in data-driven decision-making within the hospitality industry, offering insights into how machine learning can mitigate financial risks associated with booking cancellations.

This study aims to analyze the implementation of interdisciplinary project-based remedial activities through infographic media in the Social Studies subject Phase E in class X MAN 2 Malang City after the implementation of the odd semester summative assessment. This study uses a descriptive qualitative method with data collection techniques through observation, interviews, and documentation. The results of the study indicate that this activity is effective in helping students understand the Social Studies material by exploring topics in depth using relevant data and sources. In addition, students are able to understand the functions and roles of geography, sociology, history, and economics in solving real problems, strengthening research and collaboration skills, and increasing learning motivation. Teachers and students also feel the efficiency of time and resources. However, this study identified several obstacles faced by students, including difficulties in dealing with less competent group members, challenges in using barcodes as references, finding the right infographic design, classifying topics in an interdisciplinary perspective, and dividing group tasks. This study recommends infographic design training, intensive guidance for group management, and more structured learning strategies in implementing an interdisciplinary approach.

Customer segmentation plays a pivotal role in driving marketing strategies and improving customer retention across various industries. This study explores the application of the RFM (Recency, Frequency, Monetary) model for customer segmentation in a Software-as-a-Service (SaaS) business, using Python for efficient data processing and analysis. By analyzing one year of customer purchase data, we segmented customers into key groups such as "Champions," "Loyal Customers," and "At Risk." The results highlight that targeted discount strategies significantly affect profitability, especially for high-value customer segments. Furthermore, the research builds upon existing methodologies, demonstrating how Python-based implementations streamline RFM analysis and allow for scalable solutions in business contexts, as illustrated in prior works by Hermawan et al. (2024). This study offers actionable recommendations, including tailored discounting, loyalty programs, and personalized engagement strategies, to enhance customer retention and business profitability. The findings underscore the importance of data-driven marketing approaches for customer segmentation and engagement, reinforcing the relevance of the RFM model in modern business environments.

Kartu Indonesia Pintar Kuliah (KIP-K) is a scholarship given by the government to high school graduates and equivalent who excel but have economic limitations to continue their studies at university level, both at state and private universities. The Indonesian government has issued the KIP-K since 2020 as a form of educational assistance. In North Maluku Province, especially on Sula Island, there is still minimal information regarding KIP-K. This service activity aims to share information regarding the benefits of higher education and how to obtain a KIP-K scholarship for students who have financial limitations. This community service is carried out at SMAN 1 Kepulauan Sula, MAN 1 Kepulauan Sula, SMAN 7 Kepulauan Sula, SMAN 9 Kepulauan Sula and SMAN 11 Kepulauan Sula. This activity was carried out in two stages, namely socialization and mentoring. The implementation of this activity went well, smoothly and was full of enthusiasm from the participants, especially students who wanted to continue their studies at university level. The final result of this socialization and mentoring is that the participants have succeeded in creating their own accounts, filling in data and registering for KIP-K.

In education, choosing the right college major is crucial for students to achieve their academic and career potential. However, many students in Indonesia still choose majors that do not suit their interests and talents, which hurts their academic achievement and psychological well-being. This research aims to identify the impact of errors in choosing a major on students' academic achievement and psychological well-being. This research used quantitative methods with a cross-sectional design to collect data from 90 students who experienced a mismatch with their major. The data were analyzed using descriptive and inferential statistical analysis. The research showed that most respondents were dissatisfied with their academic results and often had difficulty understanding lecture material. Most respondents agreed that a mismatch between majors interests and talents can affect academic results, and they frequently feel stressed or depressed because of studying. In conclusion, mistakes in choosing a major can hurt students' academic achievement and psychological well-being. The government and educational institutions must develop more effective and relevant educational programs and provide academic counseling and guidance to help students overcome difficulties and improve their academic performance.

Tujuan dari penelitian ini adalah untuk membuat media pembelajaran animasi berbasis flash bagi siswa di SMK Ungaran Kanaan, serta meningkatkan minat siswa untuk belajar animasi. Metode yang digunakan adalah Research and Development, yaitu metode yang mengembangkan suatu produk tertentu seperti media pembelajaran berbasis animasi. Penelitian ini dilatarbelakangi oleh ditemukannya kurangnya media pembelajaran animasi di SMK Ungaran Kanaan khususnya pada kelas XI pelajaran animasi Multimedia

As the center of academic activities of Muhadi Setiabudi University with 101 lecturers, 1266 students and 94 employees must be supported by adequate parking infrastructure. Parking is an important infrastructure in an activity. One of the problems in parking is the lack of adequate parking space. For this reason, it is necessary to evaluate the characteristics of parking in the campus area. The evaluation results found parking characteristics at the location in the form of: motorcycle parking volume of 347 vehicles and cars of 28 vehicles. The maximum parking duration for motorbikes is 195,089 minutes and cars is 185,591 minutes. The maximum accumulated value of motorcycle parking is 267 vehicles and cars are 18 vehicles. The maximum static capacity on the motorcycle is 922 vehicles while for cars it is 41 vehicles. The maximum parking index on motorcycles is 89% as well as on cars is 130%. The maximum turnover on motorcycles is 1.16 times and for cars 2.16 times. The maximum parking space requirement on motorcycles is 294 vehicles, on cars is 20 vehicles. From the calculation results, it can be concluded that the capacity of the existing parking lot for motorbikes is adequate, but for cars it is not adequate.

Clean and Healthy Living Behavior (CLHB) has a major influence on people's living habits related to several aspects including: thoughts, habits, actions, and the environment. Stunting activities in Mentor Village are more focused on the age range of babies and toddlers through posyandu activities than with elementary school students, not a few elementary school students do not receive gradual monitoring regarding stunting. This study aims to determine the effect of clean and healthy living behavior on stunting in toddlers in Mentor Village. The targets in the socialization activity were Mentor I and II Elementary School students, with a total of 50 students. The aim is to provide further education regarding the dangers of stunting with the target of elementary school students. The method is used through 4 stages namely observation, planning stage, socialization and evaluation. Data collection technique is by using a questionnaire in the form of pre-test and post-test. The results of the questionnaire showed an increase in children's understanding related to clean and healthy living behavior (CLBH) where initially the level of children's understanding of CLBH before the socialization was held was 27% and after the socialization activities carried out it increased to 91%. There was an increase in students' understanding of the importance of CLBH by 64% indicating that CLBH socialization activities had a positive effect on increasing students' understanding of the importance of CLBH.