Penggunanaan Metoda Fuzzy Logic Tsukamoto Untuk Memprediksi Jumlah Penerimaan Peserta Didik Baru ( Studi Kasus TK. Bina Mulia )

Abstract

The Bina Mulia Indonesia Education Foundation, currently overseeing the education of young children, is one of the Kindergartens (TK) in the residential area of Villa Mutiara Jaya, Wanajaya Village, Cibitung District which still has the potential to absorb new students based on the large amount of initial data obtained from the academic year. 2018/2019 to 2021/2022, with conditions in recent years greatly affecting the number of new student admissions which has decreased. In this study, a comparative analysis of the Tsukamoto fuzzy logic algorithm method was used, to predict the number of registrants next year seen from the number of students who graduated and registered from the previous year and compared the calculations using the average. the value of the results obtained in the three Tsukamoto fuzzy methods

Implementasi Fuzzy Logic Pada Sistem Kontrol pH Air Mineral Berbasis IOT

“…Kotak hitam tersebut berisi cara atau metode yang dapat digunakan untuk mengolah data input menjadi output dalam bentuk informasi yang baik. Terdapat beberapa metode Fuzzy Logic di antaranya Fuzzy Logic Mamdani, Sugeno dan Tsukamoto [18].…”