Implementation of the Naïve Bayes Method to Determine Student Interest in Gaming Laptops

Abstract

The development of the times resulted in the development of technology to date. With the existence of technology, many people have used technology to help their daily activities. In this study, the author will discuss the technology that is often used by students to help them with their assignments, namely laptops. Laptop is a technology that has been widely used by students, teachers and the public. Having a laptop can make things easier. Until now, each laptop brand continues to develop their laptop production laptops with good specifications. Until now, almost all laptop brands have made gaming laptops that are actually intended for people-people who play games. But with good specifications, gaming laptops can also be used for daily activities. With an attractive design and good specifications, of course you can attract student and public interest in gaming laptops. Therefore the authors made a study of student interest in gaming laptops. With good design and specifications on gaming laptops, the author aims to classify the number of students who are interested and not interested in gaming laptops. The classification will be carried out using the Naïve Bayes method with the number of sample data used as many as 100 student data in data mining. The classification results obtained were 55 students (55% representation) interested in gaming laptops and 45 students (45% representation) had no interest in gaming laptops. The results show that not all students are interested in gaming laptops, even though they have laptops design and great specs.

Prediction of Stunting in Toddlers Combining the Naive Bayes Method and the C4.5 Algorithm

“…The Naive Bayes method is a probability-based classification technique based on Bayes' theorem with the assumption that predictors are independent of each other within a class (Alam, Alana, & Juliane, 2023) (Rahman & Fauzi Abdulloh, 2023) (Apriyani, Maskuri, Ratsanjani, Pramudhita, & Rawansyah, 2023). In research conducted (Nasution, Dar, & Nasution, 2023) the naive Bayes method was used to classify students' interest in using gaming laptops and the accuracy obtained was 90%, this means that the naive Bayes method can be used to carry out classification well (F. F. Hasibuan, Dar, & Yanris, 2023). This method is very effective and efficient for large datasets, making it popular in the fields of natural language processing and pattern recognition (Supendar, Rusdiansyah, Suharyanti, & Tuslaela, 2023) (Siregar, Irmayani, & Sari, 2023) (Tanjung, Tampubolon, Panggabean, & Nandrawan, 2023).…”