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The purpose of the research conducted was to design an Academic Information System (SIAKAD) at SMA Negeri 2 Rambang Dangku. Data processing at SMA Negeri 2 Rambang Dangku has not utilized the use of information technology to support operational activities, data processing is still recorded manually, such as in processing student assessment data, teacher data, lesson schedule data and student final report data (Raport) and data storage is still done conventionally using paper and cabinets. In collecting data, researchers used qualitative descriptive methods including conducting interviews, direct observation, and literature study. The system development method uses the Prototype method. At the design stage using the Unified Modeling Language (UML) modeling which consists of use case diagrams, class diagrams, and activity diagrams. This system is built using PHP, Mysql, Xampp, and database. The results of this study are a web-based academic information system using the Codeigniter Framework. From this application it is hoped that it will make it easier to process Academic data for SMA Negeri 2 Rambang Dangku so that it is faster and more detailed, and makes it easier to make final data reports on student scores (Rapot).

The coffee shop business is very lively and in great demand some circles of society, wrong one of them is Kusuma Kopi Semarang. Kusuma Kopi Semarang still uses an ordering system that is still manual in terms of ordering, so an ordering system is made menu with the application of a combination of QR Code technology with website. To develop this research, the method used First Come First Served (FCFS). Using this method process Menu ordering is more effective because customers place orders First, you will immediately get service.

Selection of the best employees is a semi-structured matter that can be scheduled every month or year. It is not uncommon for companies to determine the best employees not in accordance with the company's assessment. Kean shops still use the manual method and often do not meet the criteria set by the company. By making the best employee decision support system in a grocery store using the simple additive weighting method. assist managers in making the best employee decisions and admins in editing, deleting and adding values in each of the existing criteria and directly connected to the system database. This system was developed using the Visual Studio Code website, PHP, CSS, XAMPP V3.3.0 and MySQL. The method used in this decision support system is simple additive weighting (SAW). With this website, decision making is more structured and value data for each employee can be stored in a database. The results of this decision support system will simplify the process of determining the best employees and this system does not need to use manual calculations and is far more efficient.