Fadilah, Nuriya (2018) Peramalan Harga Pasar Telur Ayam Ras di Kota Malang dengan Menggunakan Metode "SVR-PSO". Sarjana thesis, Universitas Brawijaya.
Abstract
Telur ayam ras menjadi salah satu sumber protein favorit masyarakat karena harganya cukup terjangkau dibandingkan sumber protein hewani lainnya yang dijual bebas di pasaran. Permasalahan utama yang dihadapi konsumen adalah fluktuasi harga pasar telur ayam ras di Kota Malang, ada kalanya harga naik dan ada kalanya harga turun. Hal ini akan menjadi masalah jika harga pasar naik tajam dari harga pada bulan-bulan sebelumnya. Pada penelitian ini dibuat sistem yang mampu meramalkan harga pasar dengan menggunakan metode Support Vector Regression (SVR) untuk melakukan peramalan dan metode Particle Swarm Optimization (PSO) untuk mengoptimasi parameter SVR. Proses optimasi terdiri dari 4 tahapan utama, yaitu tahapan normalisasi, tahapan pelatihan SVR, tahapan PSO, dan tahapan pengujian SVR. Pada pengujian SVR didapatkan nilai MAPE terkecil yaitu sebesar 6,2186% dan pada pengujian SVR-PSO didapatkan nilai MAPE terkecil sebesar 1,8840%.
English Abstract
Purebred chicken egg become one of the most favorite protein sources in the community because the price is quite affordable than other protein sources that are sold freely in the market. The main problem is the fluctuation of the market price of eggs in Malang, there are times when prices rise and there are times when prices fall. This would be a problem if the price rose from the price in the preceding months. In this research, a system capable to predict the egg market price by using Support Vector Regression (SVR) method to forecast and Particle Swarm Optimization (PSO) method to optimize SVR parameters. The optimization process consists of 4 main stages, namely the normalization stage, SVR training stage, PSO stages, and testing stages. In the SVR performance testing yields the smallest MAPE value of 6.2186%. As for the SVR-PSO performance testing has the smallest MAPE value of 1.8840%.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FTIK/2018/747/051808946 |
| Uncontrolled Keywords: | support vector regression, particle swarm optimization, peramalan support vector regression, particle swarm optimization, forecasting |
| Subjects: | 600 Technology (Applied sciences) > 636 Animal husbandry > 636.5 Chickens and other kinds of domestic birds > 636.51 Poultry for specific purposes > 636.514 2 Eggs / Birds--Eggs / Birds--Nests / Eggs--Production |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Budi Wahyono Wahyono |
| Date Deposited: | 09 Apr 2019 02:36 |
| Last Modified: | 22 Oct 2021 03:39 |
| URI: | http://repository.ub.ac.id/id/eprint/161495 |
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