Perbandingan Metode Fuzzy Tsukamoto dengan Fuzzy Mamdani Untuk Mendeteksi Tingkat Kecanduan Media Sosial Pada Remaja

Abstract

The level of social media use in Indonesia has increased every year. This is caused by several factors, one of which is the tendency to play social media so that you forget the time to do other activities such as studying. A system is needed that is able to detect whether someone is addicted to social media or not. The Tsukamoto fuzzy method is a method that can solve a problem by using a system on a computer in search of a truth and usually requires some expertise. While the fuzzy mamdani method has a function in finding a solution in solving the problem of social media addiction in today's youth. This comparison is done by the author to find the best answer from one of the methods used. This research was created in order to be able to detect the level of social media addiction in adolescents in the form of a web to inform adolescents to avoid the negative symptoms of social media addiction such as timelessness, lazy learning and being unable to stop oneself from controlling social media use. Then after testing with 25 adolescent data, the results obtained were 10 adolescents experiencing social media addiction problems and 15 adolescents not. It can be seen that the Tsukamoto method has a very addictive score of 0 to 20 for 10 teenagers and 15 teenagers with a non-addiction score of 80 to 100. Meanwhile, it is known that the Mamdani method has a very addictive score of 0 to 10 for 10 teenagers and 15 teenagers with a non-addicted score of 40 to 50.

Perbandingan Metode Fuzzy Mamdani dan Fuzzy Tsukamoto untuk Identifikasi Tingkat Serangan Penyakit pada Tanaman Bawang Merah

“…Penelitian ini mengadopsi pendekatan kuantitatif dengan desain quasieksperimental untuk membandingkan efektivitas metode fuzzy Mamdani dan fuzzy Tsukamoto dalam mengidentifikasi tingkat serangan penyakit pada tanaman bawang merah. Desain ini memungkinkan peneliti untuk mengobservasi efek intervensi (metode fuzzy) pada variabel terikat (tingkat serangan penyakit) tanpa perlu manipulasi random atau pembentukan kelompok kontrol yang ketat (Cahyono et al, 2023). Pengumpulan data dilakukan melalui beberapa artikel yang sudah melakukan penelitian penyakit pada tanaman bawang merah dan literatur terkait.…”