Computer Laboratory Assistant is a person who is competent in the field of computers who will assist lecturers in teaching while in the computer laboratory. The Faculty of Computer Science, Budi Darma University, Medan will conduct a selection of computer laboratory assistants for the 2022/2023 academic year, but the lecturers have difficulties in finding which students are eligible to become computer laboratory assistants. This research is based on these reasons, so the authors decided to use the Multi Attribute Utility Theory (MAUT) method to help make decisions to choose which students deserve to be computer laboratory assistants with the criteria of GPA, test scores, personality, teaching ability and experience with a number of alternatives 5 (Five) students. The use of the MAUT method is expected to determine the criteria for computer laboratory assistants, because the MAUT method will perform a ranking process based on attributes with different weights so that the results are more optimal, then a ranking process will be carried out which will determine the optimal alternative as well. As for 1 (one) alternative that deserves to be a computer laboratory assistant is Jesika Sirait with a result of 0.4085.

The impact of the COVID-19 pandemic is very broad, especially in Indonesia. In early 2022, Indonesia entered the early stages of recovering conditions caused by the pandemic. The government has an option for the community to carry out a third dose of vaccination (booster). However, there are a number of pros and cons in the community regarding the booster vaccine. This study aims to conduct sentiment analysis related to public opinion on the COVID-19 booster vaccination in Indonesia with Naive Bayes model. The data source used comes from Twitter. The workflow of this research includes data crawling, labeling, preprocessing, dataset sharing, and model testing and comparison with other models, namely Decision Tree and SVM. The results of this study indicate that the largest AUC score falls to the SVM model (75.40%), but for more accurate precision falls to the Naive Bayes model (83.81%). In addition, there is a confusion matrix which shows that the Naive Bayes model trial is running well.

An incident that is unpleasant to hear is that one fire or one in an office building is an omission of human error, caused by cigarette residue, due to LPG gas at home, or a short circuit of electric current that causes a fire and propagates. The level of losses and costs incurred by a fire incident is certainly very large. Fires that occur can be overcome, minimized, and the cost of losses that occur if we know the situation in advance and early on. For this purpose, an intelligent raft device is needed which makes a sound or full sound that there is a fire in the building. to us that there has been a fire in a room or in a public place early so that then designed a tool that can be easily reached and easy to use to prevent fires. Namely designing a fire warning system with a fire sensor and Arduino uno based on the Internet of Things by emitting a sound or sound like an alarm if it detects a fire or smoke near the device at a distance of 20cm to 250cm. This tool is very useful for laboratories because there are many personal computers inside. laboratory and the number of cables that occur in short circuits, the authors want to design and make this tool can be used in the laboratory The device to be built uses a flame sensor and uses a buzzer to make a sound.

Single Tuition Fee (UKT) is a tuition payment rule that funds each student according to his economy, especially at PTN whose tuition fees are also determined from the student's economy. Students pay for the semester which is decided according to the single tuition fee minus the costs borne by the government, in other words each student only pays one component. At Budi Darma University, the payment of the Single Tuition Fee (UKT) has been determined by the campus by being able to pay in 6 installments per year in order to ease the payment of tuition fees to students. However, the number of students who meet the requirements in applying for UKT assistance makes it difficult for the campus in the selection process. Therefore, a decision support system is needed to solve a problem by applying the comparison of the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Simple Additive Weighting (SAW) by including weighting with the Rank Order Centroid (ROC) method to get accurate and effective results. From the test results, getting the best alternative that is considered worthy of single tuition assistance is in the same alternative, namely A7 on behalf of Zaza Mutiara Arini. Calculations using the MOORA method get the best preference value of 0.7391 while calculations using the SAW method get the best preference value of 0.8976.

The purpose of this research is to develop a website-based system to facilitate the academic administration of student affairs at the Faculty of Information Communication Technology, Universitas Nasional in providing various student information ranging from information on association activities, scholarships, competitions, achievements achieved by FTKI (SI-TI) students. and helping FTKI students and graduates to find updated information about job vacancies related to information technology. This study will develop an administrative information system for student affairs with the Extreme Programming method, an Agile Development Method. will include FTKI students and graduates as users. The results of research from the Student and Alumni Administration Information System (Smart Adma) can provide time efficiency in administrative management, make it easier for students to get information from association activities, proposals, requests for funds to submission forms and internship assessments, as well as alternative media during the Covid 19 Pandemic.Keywords:Information Systems, Smart AdMa, Extreme Programming Method (XP).