Prediksi Persentase Penyelesaian Permohonan Hak Milik menggunakan Metode Fuzzy Time Series (Studi Kasus: Badan Pertanahan Nasional (BPN) Kabupaten Malang)

Dytha Suryani (Fakultas Ilmu Komputer, Universitas Brawijaya)
Edy Santoso (Fakultas Ilmu Komputer, Universitas Brawijaya)
Novanto Yudistira (Fakultas Ilmu Komputer, Universitas Brawijaya)

Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 4 No 9 (2020): September 2020

Ownership Certificate (SHM) is the legality of home ownership with the strongest status among other certificates of property, which can be traded, bequeathed or even represented so that the owner has full ownership of the land required. However, the number of SHM certifications needed by the community is quite long, so that the number of SHM that is the total amount needed is less than the amount entered. Where requested the accumulation of requests for making SHM from time to time and the target office in the completion of SHM is not approved properly. To minimize SHM and office targets that must be approved, a prediction is needed to understand the number of SHM that can be received each month. Which prediction uses algorithm from Fuzzy Time Series. Fuzzy Time Series is a method that is able to solve problems and produce good solutions. Based on the results made 3 times the minimum average error results obtained AFER 0.6112% with a total of 56 training data. AFER error results obtained are included in the excellent category to be used in predicting the amount requested.