Analisis dan Peramalan FTS terhadap Zinc-Carbon Accumulator dan Yuasa Accumulator Model 6N4-2A-4
Abstrak
Telah dilakukan Analisis dan Peramalan FTS terhadap Zinc-Carbon dan Yuasa Accumulator dengan peramalan Fuzzy tipe Average Based untuk data yang bersifat random. Data yang didapatkan adalah dari pengukuran charge dan discharge untuk 6 jam pada Zinc-Carbon Accumulator dan Yuasa Accumulator Model 6N4-2A4.
Analisis peramalan FTS terbukti efektif digunakan dengan hasil kesalahan relatif kurang dari 5%.
Kata kunci = Peramalan, FTS Average Based
Referensi
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Gaspersz, (1998), “ Manajemen Produktivitas Totalâ€Â., Gramedia., Jakarta
Harinaldi, (2005), “Prinsip-Prinsip Statistik untuk Teknik dan Sainsâ€Â. Erlangga.Jakarta
Hanifah, U., (2013)., “Transcript of Copy of Implementasi Artificial Neural Network (ANN) Dengan Metode Backpropagation Dalam Peramalan Harga Logam Mulia Pada Emas Bâ€Â., Prezi Press
Agus, M., (2005)., “Pemodelan Tingkat Inflasi di Indonesia dengan menggunakan Sistem Fuzzyâ€Â., Jurnal UNY., Jogyakarta.
Ai., (1999).,“Optimasi Peramalan Pemulusan Eksponensial Satu Parameter Dengan Menggunakan Algoritma NonlinearProgrammingâ€Â. JURNAL TEKNOLOGI INDUSTRI. VOL. III, No. 3, hal 139 – 148. <URL:http://www.uajy.ac.id/jurnal/jti/1999/3/3/do/
A Word Bank Country Study, (1994), “Indonesia : Environment and Developmentâ€Â. The Word Bank. Wahington – USA.
Baroto, T., (2002), “Perencanaan dan Pengendalian Produksiâ€Â., Ghalia Indonesia., Jakarta
Balsys, dkk (2010)., â€ÂTraffic Flow detection and Forecastingâ€Â., ISSN 1392-1215 Electronic and Electrical Engineering, Vol. 5, hal. 101.
Cahya, S., (2010).,†Data dan Jenis Penelitian†., /
Chen, S., (1996).,“Forecasting enrollments based on fuzzy time series - Fuzzy Sets and Systemsâ€Â.,International Journal of Applied Science and Engineering.
Chen., (1996)., “Forecasting Enrollments Based on Fuzzy Time Seriesâ€Â, Fuzzy Sets and Systems, vol. 81, pp. 311-319
Chunshien, dkk (2012)., “A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting, Engineering Applications of Artificial Intelegenceâ€Â., Vol. 25, Hal 295-308
Clarkson, H., Oglesby, (1999), “ Highway Engineeringâ€Â., John Wiley and Sons., New York
Fang, dkk., (2001)., “Fuzzy ARIMA model for forecasting the foreign exchangeâ€Â., Fuzzy Sets and Systems, Vol.118, Hal 9-19
Feng, dkk., (2013)., “The research of ARMA Model in CPI Time Seriesâ€Â., Applied Mechanics and Materials, Vol 347-350, Hal. 3099-3103
Gaspersz, (1998), “ Manajemen Produktivitas Totalâ€Â., Gramedia., Jakarta
Harinaldi, (2005), “Prinsip-Prinsip Statistik untuk Teknik dan Sainsâ€Â. Erlangga.Jakarta
Hanifah, U., (2013)., “Transcript of Copy of Implementasi Artificial Neural Network (ANN) Dengan Metode Backpropagation Dalam Peramalan Harga Logam Mulia Pada Emas Bâ€Â., Prezi Press
Unduhan
Diterbitkan
2016-10-01
Cara Mengutip
[1]
A. S. Wiguna dan K. B. Pranata, “Analisis dan Peramalan FTS terhadap Zinc-Carbon Accumulator dan Yuasa Accumulator Model 6N4-2A-4”, SMARTICS, vol. 2, no. 2, hlm. 55–60, Okt 2016.
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