The background this time is how the scoring system is still objective in the thesis trial system, therefore withthis decision support system, the objective assessment will become a definite scoring system, and will beable to help examiners provide the best advice to take. decisions to be taken during the student thesis trial.The method used in this research is to use quantitative methods, by conducting a librarian study and thencombined with data taken from student participants in the thesis examination, with the library studymethod, it will be possible to explore this research and data processing will also be maximized. Manysystems use the AHP algorithm method to make decisions that are difficult to make, using the AHP methodcan be taken into consideration in making decisions, because data processing using the AHP method willprovide the best advice for making an important decision. This research will produce a system proposal andhow the data is obtained, then how the data is processed to produce a system proposal, which is best formaking decisions about students who are currently passing their thesis exams or not, with the proposedsystem will greatly help the examiner take decisions that were previously objective.Keywords: Decision Support System, Thesis Session, Pass, AHP.
There are many learning media during the Covid 19 pandemic, some use online media and offline media, online media are also of many kinds, some are in the form of videos, pictures or writing, but there are also many learning media that combine all learning media, examples are online media youtube, with youtube media students will be able to view learning material repeatedly because videos can be downloaded. The method used in research is to use the literature review method, a method that can help in this study because it can find new problems in future research. The problem raised in this research is wanting to know the right media and making comparisons of online and offline media during the new normal period after the COVID-19 pandemic. This research produces data that can prove that the right media is in the new normal period, this is done to common interests and the nation.
The background of this research is to know the effectiveness of using QR codes for E-ticket payments in the ticket booking system in the transportation sector, by providing easy payments to the public, it will be able to facilitate ordering and payment of tickets, therefore it will be able to increase ticket sales. The research method used is to use the literature review method by reviewing many journals and finding the latest research problems so that the research carried out becomes renewable research and can solve the research problems raised. The problem raised in this study is by analyzing the effectiveness of using QR codes, data obtained from previous research studies, by conducting literature reviews, will be able to find problems and solutions from the research raised. This research will produce a system proposal that will make it easier for the public to use the ticket payment system, the use of QR codes will simplify transactions and speed up the payment process.
Graduation of the course is a reflection of the seriousness of individual students every semester of the lecture. Students who attend all the learning process in the classroom or face-toface in each course will have more chance to graduate than the students who are rarely present, some lecturer's evaluation of the graduation of the course are attendance, task, UTS and UAS. From the above problem the writer tries to get the appropriate algorithm to determine the graduation of each student's course, this research will use the data mining classification technique with 3 methods of classification algorithm such as Algorithm C4.5 (decision tree), Naïve Bayes, and Random Forest with label result pass or not pass. Based on the results of tests conducted using the same dataset on the 3 algorithms through comparison to the value of AUC and Confusion Matrix, obtained the value of Area Under Curve (AUC) of 1,000 from Naïve Bayes model, while the largest Accuracy or Confusion Matrix value is in C4 algorithm .5 (decision tree) with a value of 97.78%. Thus, the proper algorithm for this case is the C4.5 Algorithm (decisiontree).
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