Fuzzy Time Series Lee dengan Average Based Length untuk Prediksi Jumlah Penduduk Miskin Sulawesi Tenggara

Fithriah Musadat (Universitas Dayanu Ikhsanuddin)
Jabal Nur (Universitas Dayanu Ikhsanuddin)
Andi Nasri (Universitas Handayani Makassar)

Jurnal Akademik Pendidikan Matematika
Volume 9, Nomor 1, Mei 2023

This study aims to predict the number of poor people in Southeast Sulawesi using the Lee’s Fuzzy Time Series with Average Based Length. The data used in this research is annual periodic data from 2004-2022 downloaded from the bps.go.id website. The results of the study show that the poverty rate in Southeast Sulawesi in 2023 will reach 301,801 people. The model is successful in reading data movements, with the number of error values > 0 indicating the direction of prediction error which tends to be underestimated. However, the resulting accuracy is very good, indicated by the MAPE value of 1.71%.