DESIGNING GAME APPLICATIONS OR EDUCATIVE TEACHING GAMES BASED ON INTERACTIVE MULTIMEDIA

 With the birth of technological developments, learning in schools or lectures inevitably applies computer-based learning systems, the presence of teaching process technology with the application of educational games for reciting the Koran can be an alternative learning when students are bored or feel tired during learning. Reciting the Koran refers to the activity of reading the Koran, which is a skill that every Muslim should have and needs to be instilled in children from an early age, starting before they enter school. This is an important part of forming their character. However, at an early age, children still tend to prefer playing, and limited methods of teaching the Koran may not be interesting enough for them. Therefore, an interactive learning method is needed using audiovisual aids, such as educational games. This approach not only makes learning more interesting, but also more interactive. This application can increase children's understanding and knowledge about the Islamic religion, especially in terms of reciting the Koran. By applying the concept of learning while playing, children become more comfortable, interested and happy in understanding and practicing the teachings of the Islamic religion

FUZZY MAMDANI EXPERT SYSTEM FOR PROPERNESS OF SELECTING SUPPLIER IN CORPORATE XYZ

This research aims to enhance the supplier selection process at Corporate XYZ by implementing the Fuzzy Mamdani Expert System, which addresses the complexities of evaluating suppliers in a service-oriented business environment. The study employs a fuzzy logic approach to assess suppliers based on multiple qualitative and quantitative criteria, including cost efficiency, reliability, and scalability. The methodology involves fuzzification of input data, rule base evaluation, and the application of the Mamdani inference system to derive crisp scores for each supplier. The findings indicate that Supplier A scored 85 points, outperforming Supplier B, which scored 70 points, highlighting the effectiveness of the evaluation process. Additionally, the research identifies potential risks associated with suppliers, such as pending legal documentation, which could impact their overall scores. The conclusion emphasizes that the Fuzzy Mamdani Expert System not only facilitates informed decision-making in supplier selection but also fosters continuous improvement through a feedback loop mechanism. This study contributes to the field of supply chain management by demonstrating the applicability of fuzzy logic in optimizing supplier evaluations, ultimately leading to better supplier relationships and cost efficiencies for organizations. Future research is suggested to explore the integration of additional criteria and advanced analytical techniques