Peramalan Butuhan Hidup Minimum Menggunakan Automatic Clustering dan Fuzzy Logical Relationship

Penulis

  • Yusuf Priyo Anggodo Brawijaya University
  • Wayan Firdaus Mahmudy Fakultas Ilmu Komputer, Universitas Brawijaya

DOI:

https://doi.org/10.25126/jtiik.201632202

Abstrak

Kebutuhan hidup minimum (KHM) adalah standar kebutuhan seorang pekerja atau lanjang untuk dapat hidup layak secara fisik untuk kebutuhan satu bulan. Selain itu KHM berpengaruh terhadap upah minum provinsi dan kota. Oleh karena itu diperlukan suatu peramalan KHM untuk mengetahui nilai KHM di tahun yang akan datang. Peramalan ini bermanfaat untuk perusahaan dalam merencanakan keuangan perusahaan tahun depan. Dalam melakukan peramalan KHM menggunakan metode automatic clustering dan fuzzy logical relationship. Automatic clustering digunakan untuk membentuk sub-interval dari data time series yang ada. Sedangkan fuzzy logical relationship digunakan untuk melakukan peramalan KHM berdasarkan relasi fuzzy yang telah dikelompokan. Automatic clustering dapat menghasilkan cluster-cluster yang sangat baik sehingga dalam melakukan peramalan dalam fuzzy logical relationship memberikan akurasi yang tinggi. Dalam menghitung kesalahan menggunakan mean squere error (MSE), nilai kesalahan semakin berkurang ketika diterapkan automatic clustering dalam fuzzy logical relationship. Hasil peramalan memiliki nilai koefisien korelasi yang hampir mendekati satu.

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Unduhan

Diterbitkan

15-12-2016

Terbitan

Bagian

Teknologi Informasi

Cara Mengutip

Peramalan Butuhan Hidup Minimum Menggunakan Automatic Clustering dan Fuzzy Logical Relationship. (2016). Jurnal Teknologi Informasi Dan Ilmu Komputer, 3(2), 94-102. https://doi.org/10.25126/jtiik.201632202