The development of information technology has transformed various aspects of life, including education, by making it more flexible, interactive, and accessible. One platform that plays an important role in this transformation is YouTube, a video sharing platform that allows users to upload, watch, share, and comment on videos online. YouTube is not only a medium of entertainment, but also a significant source of additional learning, especially in higher education such as the Informatics Engineering Department. The platform provides various learning materials, such as programming tutorials, computer network concepts, and software development, which can be accessed anytime and anywhere. YouTube’s advantages lie in its accessibility and the ability for users to repeat videos, making it easier to understand complex material. However, using YouTube as a learning resource also has its challenges, such as the difficulty in finding relevant and high-quality content, as well as the variety of academic standards used in the delivery of the material. Therefore, this study aims to evaluate the effectiveness of YouTube as an additional learning media and provide recommendations for the best channels for Informatics Engineering students. Factors, such as the number of views, the number of subscribers, the frequency of uploading new content, and the background of the content creator, are considered in channel selection. The Weighted Product (WP) method in the Decision Support System (SPK) is used to evaluate the effectiveness of YouTube based on predetermined standards. The research results are expected to provide recommendations for the most relevant and high-quality YouTube channels so as to improve students’ understanding of educational materials and optimize the use of digital learning resources.

Breast cancer is the most commonly rising problem among women. It is a type of cancer, and there are different causes of breast cancer and they can be predicted by having knowledge of the symptoms of breast cancer. Breast cancer can be caused if anyone from a family has suffered with this problem in the past. It is caused due to hormonal imbalance among women. There are different treatments for it. Many women are affected by this problem. In 2024, a Bollywood actress was also found to be the victim of breast cancer and she is still suffering from the disease. Breast cancer can be treated by applying different therapies and surgeries, etc. In the last stage of breast cancer, it spreads to other parts of the body, showing symptoms of weight loss, fatigue etc.

Penelitian ini fokus pada implementasi aplikasi absensi berbasis QR Code menggunakan platform AppSheet di Sekolah Madrasah Az-Zain. Metode penelitian pengembangan melibatkan tahap analisis kebutuhan, desain, implementasi, evaluasi, dan penyempurnaan aplikasi. Dengan memanfaatkan QR Code unik untuk setiap siswa dan staf guru, aplikasi ini memungkinkan pencatatan absensi secara otomatis, mengurangi kesalahan manual, dan meningkatkan akurasi data. Hasil uji coba menunjukkan respon positif dari pengguna terhadap kemudahan penggunaan, sementara pihak sekolah dapat dengan mudah mengakses laporan absensi secara real-time untuk monitoring. Penelitian ini menyoroti potensi teknologi QR Code dalam meningkatkan efisiensi dan akurasi pengelolaan kehadiran di lingkungan pendidikan.

Project monitoring is an important element in project management that aims to ensure project implementation in accordance with the plan, schedule, budget, and objectives that have been set. The ineffectiveness of project monitoring can cause various problems, such as delays, cost overruns, inappropriate quality of results, and poor communication between stakeholders. To address these issues, technological advances such as YOLO (You Only Look Once) and Reinforcement Learning (RL) offer innovative solutions through real-time visual detection and data-driven automated decision making. This research aims to develop a web-based project monitoring system that integrates YOLO to detect activities in the field, such as workers and heavy equipment, and RL to provide optimal recommendations for resource management. The implementation of the system is expected to increase efficiency, reduce risk, and support more accurate decision making. Based on previous research, the adoption of AI technology in project monitoring is proven to reduce operational costs and increase productivity. This web-based system is designed to provide flexibility and accessibility, allowing users to monitor projects in real-time through an interactive interface. The expected outcome of this research is the creation of an effective technological solution to improving the efficiency of construction project management, as supported by the findings of previous research that shows the great potential of AI in the construction sector.

Penelitian ini bertujuan untuk mengimplementasikan sistem informasi Tracer Study di Jurusan Teknik Informatika Universitas Nusa Putra, dengan fokus pada analisis kebutuhan, perancangan sistem, pengembangan aplikasi, dan uji coba. Sistem ini dirancang untuk mengelola data alumni, memantau perkembangan karir, dan mengumpulkan informasi yang relevan untuk evaluasi program studi. Keberhasilan implementasi sistem diharapkan dapat meningkatkan efisiensi dan efektivitas Tracer Study, memberikan kontribusi positif terhadap pengembangan kurikulum, dan memperbaiki kualitas pendidikan di universitas.

This study addresses the gap in traditional project management education by developing a web-based learning platform for the Information Technology Project Management course. The platform integrates YOLO technology for real-time visual detection and Reinforcement Learning (RL) for automated decision-making. The development process adopted a Research and Development (R&D) approach using the ADDIE model, which consisted of five phases: Analysis, Design, Development, Implementation, and Evaluation. This research is significant as it offers a solution to the challenge of bridging the gap between theoretical knowledge and practical application in project management. The primary objective is to enhance students’ understanding of project dynamics and improve their decision-making skills through real-time project monitoring and data-driven recommendations. The development process adopted a Research and Development (R&D) approach using the ADDIE model, consisting of five phases: Analysis, Design, Development, Implementation, and Evaluation. Evaluation results demonstrated that the developed learning media achieved an average validity score of 87.7%, a practicality score of 85.7%, and an effectiveness score of 86.4%, confirming that the platform is valid, practical, and effective in improving student engagement and conceptual understanding of project management. The integration of YOLO and RL technologies proved effective in helping students comprehend project dynamics and support data-driven decision-making.