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.

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.

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.

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