Nurzaqiah, Nurzaqiah
(2021)
Klasifikasi Data Mining Untuk Menentukan Tingkat Kecanduan Penggunaan Internet Bagi Mahasiswa Di Kota Pekanbaru.
Other thesis, Universitas Islam Riau.
Abstract
The development of technology and information is increasingly advanced, one form of development that affects humans is the internet because it is easy to find the latest information and establish relationships with other people in different places. Based on the Center for Communication Studies at the University of Indonesia (PUSKAKOM) and the Association of Indonesian Internet Service Providers (APJII), internet users each year experienced a significant increase in 2013 there were 71.9 million users until 2021, an increase to 212,354 million users. Internet users who continue to increase at this time are not a little dependent on the existence of an internet connection, especially during the covid 19 virus which causes people to stay at home and spend time on the internet, both in terms of work, education and other things. Internet addiction for students can be identified through their activities, which are almost every day when students come home from college or at night, many students are found accessing the internet. Signs of students who are addicted to the internet include feeling happy with the internet, increasing duration of using the internet, becoming anxious and bored when going through days without the internet. Therefore it is necessary to build an application to determine the level of addiction to internet use for students in the city of Pekanbaru. With this application, the final result of the classification of data mining to determine the level of addiction to internet use for students in the city of Pekanbaru uses the Naïve Bayes method to obtain a pattern of the level of addiction to internet use for students in the city of Pekanbaru. Application accuracy testing hasvery good performance with 372 training data and 93 testing data having a percentage of 86.88% and the application assessment questionnaire having a percentage of 92% so that the classification of the level of internet addiction for students in the city of Pekanbaru is feasible to be implemented.
Actions (login required)
 |
View Item |
