<em>Flight ticket booking services have become more advanced, where bookings can be made through the android / iOS application and through a web browser, ticket reservations, no longer have to come to travel agents or come to the airport to book plane tickets. In this study using an online ticket booking database where one database uses the NoSQL database and another database uses SQL Server. The purpose of this research is to test the performance of NoSQL speed with SQL Server with the Insert, Delete and Select commands. The testing method uses 100 records, 500 records, 1000 records, and 5000 records, with each record being tested four times and then taken on average. The results of this study are that the NoSQL database Insert command has a speed 4 times faster than the SQL Server database for under 500 records, whereas above 500 NoSQL database records 5 times slower, the Delete NoSQL database command has a speed 3 times faster than the SQL database Server, and the command Select 1 NoSQL database table 55 times faster than SQL Server databases, while 2 NoSQL database tables are 18 times slower than SQL Server databases, while 3 NoSQL database tables are 10 times slower than SQL Server databases, whereas 4 database tables NoSQL is 16 times slower than SQL Server databases.</em>

<em>Information Services in agriculture are entering the era of industrial revolution 4.0, always associated with the use of automation machines integrated with the internet network. The technological sophistication of this era makes many conditions change. The chatbot application is one of the right solutions to solve farmer problems, this farmer chatbot application is about the information on handling rice plants, and this application uses the Artificial Intelligence Markup (AIML) method. The purpose of this study was to test the accuracy of the answers to the chatbot. This research method uses question data with words under 5 words and above 5 words, and uses question data according to keywords and outside keywords in this chatbot, with 50 question data, with each question data tested four times than taken the average. average. The results of this study are to get an accuracy of 90.9%, while the response time for answering questions of less than 5 words is 0.01 seconds, and for more than 5 words is 0.02 seconds with a data set of 1000 lines.</em>

The COVID-19 pandemic has caused a decline in the economic level of the people. This requires universities to quickly take concrete steps in helping their students. The purpose of this study is to assist the tertiary institution in determining who are eligible students to get a single tuition relief (UKT) using the KNN and SAW methods. The results of the UKT relief test show that this decision support system produces the same output as a manual calculation performed with Microsoft Excel. A further development that can be done is the addition of criteria by the situation and conditions of the relevant agencies.

The electronic medical record is a system for storing and managing patient medical data in electronic form. EMR replaces traditional medical record systems that still use paper, allowing doctors and other medical personnel to access patient medical records more quickly and easily from anywhere, as long as they are connected to the same network. In the EMR, patient medical data is stored in electronic format, such as text, images, and test results. EMR allows doctors to create patient medical records, make drug prescriptions, place laboratory orders and radiology orders, and access other patient medical data in one centralized system. EMR can also enable doctors to perform data analysis to gain insight into a patient's health condition and improve the treatment provided. In this study, the ERM database is used, with one database using PostgreSQL and the other using NoSQL. The purpose of this research is to test the speed performance of PostgreSQL and NoSQL with insert, select, and delete commands. Testing Method Using 1,000 records, 5,000 records, and 10,000 records, with each record being tested three times, and then taking the average, The results of this study are that the NoSQL database insert command has a speed of 3,900 times faster than the PostgreSQL database with 1,000 data records, whereas with 5,000 data records the NoSQL database is 471 times faster, while with 10,000 data records the NoSQL database is 355 times faster, and the select command for 1 NoSQL database table is 8 times faster than the PostgreSQL database, while for the above 1 PostgreSQL database table is faster.