Student attendance recording system would work well if at monitoring and can be processed automatically. Presence of recording student attendance can be done in various ways. Presence Process Engineering Faculty of Informatics UNAS still using a manual system to perform a signature on paper tend to be less effective and efficient. This can lead to weakness and fraud in the process of presence. The purpose of this design will result in a student attendance system that uses fingerprint into mobile applications for achievement in the process of student attendance Presence to avoid fraud are usually done. The system is built using web-based implemented in a mobile and system design includes the design architecture of the system, method used in the system design using the SDLC (System Development Life Cycle), the design process using DFD (Data Flow Diagram), database design and system interface design. With the results already in the test shows the average price 00,53s time with valid results. With a system based on Android this lecture presence, expected to be used for the process of recording and me to monitor the attendance of students in the lecture.
Students who are taking the final semester are students who are completing all their subjects, can take the final project provided they have met the number of credits set to obtain a bachelor's degree. In the process of making a final project, students are required to complete it within a predetermined time, this demand causes students to be depressed, causing stress that affects them in completing their final project and study period. Based on this problem, an Expert System Application was made to Diagnose Stress Levels in Final Year Students by Combining Certainty Factor Methods and Android-Based Forward Chaining Techniques to find out more clearly the level of stress experienced by final year students. The results of the diagnosis on the expert system application and the results of manual calculations on one of the data which is representative of the 200 student data, which produce the same level of confidence, each of which produces a confidence level of 97.97% and was diagnosed with mild stress.Keywords:Android, Certainty Factor, Forward Chaining, Final Year Students, Expert System, Stress.
The government system in Indonesia is divided into several levels, starting from the central government, regional government, to the smallest at the RT (neighborhood) level. At the RT level, administrative services and management, such as citizen data collection, financial reporting, providing information, and so on, are still mostly done manually so that their service practices are not optimal. Therefore, we need a system that can improve services at the RT level. With the design of a service information system and neighborhood management using the web-based DFS (depth first search) method, it is hoped that it can improve the services of RT management and make it easier for residents to search for information at the RT level. This system is made using the PHP programming language and MySQL as the database. The method used is DFS (depth first search) because it can optimize the web in searching for information based on the keywords entered so as to shorten the time in getting the information needed in RT services and management
Marketplace is an online media that functions as a place where sellers and buyers conduct business activities or transactions. The presence of a marketplace is very much needed by the community, especially during the COVID-19 pandemic. The appeal for social distancing makes most people choose to shop online which of course has a big impact on the presence of the marketplace. Because consumer needs continue to increase, the best marketplace Platform that can meet daily needs is needed, through a decision support system using the SAW (Simple Additive Weighting) method, TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) and WP (Weighted product). give the best decision in choosing a marketplace site. In the results of manual and application calculations, it is found that the results are both compatible. In the SAW method, TOPSIS and WP produced the same ranking, namely the Shopee marketplace got the highest ranking with a value of 0.9724 on the SAW method 0.706 on the TOPSIS method and 0.2112 on the WP followed by Tokopedia, Lazada, Bukalapak, and Blibli.Keywords:Marketplace selection; decision support system; Simple Additive Weighting; Technique for Others Reference by Similarity to Ideal Solution; weight product.
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