Implementesi Algoritma Grammatical Evolution Menggunakan Steady State Untuk Prediksi Ketinggian Gelombang Laut
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @Misc{BONDAN-CHORISMA-120155201062,
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author = "Bondan Chorisma and Nerfita Nikentari and
Muhamad Radzi Rathomi",
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title = "Implementesi Algoritma Grammatical Evolution
Menggunakan Steady State Untuk Prediksi Ketinggian
Gelombang Laut",
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howpublished = "Fakultas Teknik",
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year = "2017",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, Prediksi, Probabilitas, Crossover, Mutasi,
Prediction, Probability, Crossover, Mutation, Steady
State, Generational Replacement",
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URL = "http://jurnal.umrah.ac.id/wp-content/uploads/gravity_forms/1-ec61c9cb232a03a96d0947c6478e525e/2017/08/BONDAN-CHORISMA-120155201062.pdf",
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size = "10 pages",
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abstrak = "Kepulauan Riau memiliki pulau-pulau kecil diantaranya
ialah pulau Bintan. Mayoritas penduduk di Pulau Bintan
bermata pencahariansebagai nelayan, selain itu kegiatan
perairannya juga sebagai sarana transportasi untuk
menyebrangi pulau-pulau disekitarnya termasuk juga
Negara yang berbatasan langsung dengan pulau
Bintanyaitu Malaysia dan Singapura. Kondisi cuaca
faktor terpenting yang sangat mempengaruhi kelancaran
dalam kegiatan di perairan salah satunya adalah
ketinggian gelombang air laut.Ketinggian gelombang
dapat di prediksi berdasarkan data masa lampau yang
telah didapatkan yang nantinya dijadikan sebagai pola
untuk menentukanketinggian gelombang dimasa yang akan
datang. Berdasarkan hasil observasi yang dilakukan
dengan memanfaatkan dua metode seleksi survivor
didapatkan persentase rata-rata kesalahan metode steady
statesebesar 4.243 sedangkan generational replacement
sebesar 4.897percent.Dengan kombinasi pada metode
steady statejumlah generasi 30, ukuran populasi 100,
Probabilitas crossover (Pc) 0.8 Probabilitas mutasi
(Pm) 0.2 sedangkan metode generational
replacementjumlah generasi 50, ukuran populasi 100,
Probabilitas crossover (Pc) 0.7 Probabilitas mutasi Pm)
0.2",
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abstract = "Riau islands have small islands of which is the Bintan
island. The majority of people in Bintan island
fishermen, addition to his activities in sea as means
of transport to cross the nearby islands including the
state directly neighbour to Bintan island specifically
Malaysia and Singapore. The weather conditions were
very important factors influencing the smooth running
of activities at sea one of them is the height of sea
waves. The wave height can be predicted based on the
data time series that have been obtained which will
serve as a pattern to determine the height of a wave of
the future. Based on the results of observations made
by using two methods of survivor selection obtained the
average percentage error steady state method of
4.243percent while the generational replacement of
4.897percent.The combination with the methods of steady
state with 30 generations, the population size of 100,
crossover probability (Pc) 0.8,Probability of mutation
(Pm) 0.2,whereas the method of generational replacement
using 50 generations, the population size of 100,
crossover probability (Pc) 0.7 The probability of
mutation (Pm) 0.2.",
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notes = "Jurusan Teknik Informatika, Fakultas Teknik
Universitas Maritim Raja Ali Haji.
in Indonesian",
- }
Genetic Programming entries for
Bondan Chorisma
Nerfita Nikentari
Muhamad Radzi Rathomi
Citations