Pemanfaatan Algoritma JST untuk Menentukan Model Prediksi Umur Harapan Hidup Saat Lahir

Manurung, Samuel Fernando; Andriansya, Ahmad; Permana, Jaka; Pangestu, Risky

doi:10.56211/helloworld.v1i1.9

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Prediksi umur harapan hidup dengan JST juga dilakukan menggunakan lima sampel dari kelima sampel yang mendapatkan hasil terbaik pada data 3-10-1 nilai MSE adalah 0,00026375 dan sudah mendapatkan akurasi yang tinggi dan nilai performance terendah dengan bantuan tools Matlab [14]. Prediksi jumlah kunjungan wisatawan mancanegara ke Bali dengan JST Backpropagation mendapatkan hasil pada nilai variabel pelatihan dengan jumlah hidden neuron 7 maksimal epoch 1700 epoch dengan toleransi error 0,0001 akurasi model prediksi yang dihasilkan sebesar 88,137% [15].…”

Section: Pendahuluanunclassified

Prediksi Kunjungan Wisata Kota Payakumbuh Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation

Aulya

2022

INFEB

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Tourism is a whole related elements which consist of tourists, tourist destinations, travel, industry and so on which are tourism activities and abundant natural wealth. The tourism sector is a very important service-based sector. Tourism is the fastest growing, vibrant and strong economic sector development, it also contributes to Gross Domestic Product (GDP), job creation, social and economic development. Artificial Neural Networks are computer programs that can imitate thought processes and knowledge to solve a specific problem. One of which is applied by the Artificial Neural Network to predict tourist visits. By using the Backpropagation method, it will be known the prediction of the number of tourist visits. The Backpropagation method is very useful for Artificial Neural Networks predicting the number of tourist visits the following year. The data processed in this study were 12 data sourced from the tourism section of the Payakumbuh City Youth and Sports Tourism Office. Furthermore, the data is processed using Matlab software. The stages of backpropagation are initialization, activation, training and iteration. The calculation of the network pattern used and the accuracy level of the expected error is continued. The result of testing this method is that it can predict tourist visits. So the level of accuracy is 95%. The prediction process has been carried out to predict tourist visits to the city of Payakumbuh. With the level of accuracy obtained is met, it can be used to help the Payakumbuh City Tourism Office increase the number of tourist visits in the future and further improve tourism management.

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Section: Pendahuluanunclassified

Prediksi Kunjungan Wisata Kota Payakumbuh Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation

Aulya

2022

INFEB

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“…To help solve this problem, data on the value of exports is needed. From this figure, the public can decide on a strategy to anticipate the riots that will occur (Manurung et al, 2022). Therefore, it is essential to direct researchers to forecast the value of exports in the following several periods using progress and the correct period (Wanto, 2018).…”

Section: Introductionmentioning

confidence: 99%

Implemetasi algoritma fletcher-reeves dalam menganalisa nilai ekspor menurut golongan sitc

Wulandari

Wahyudi²,

Pujiastuti³

et al. 2022

Computational

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Indonesia has a lot of natural resources, so Indonesia uses them by conducting trade activities between countries. Export is a movement to sell or send goods from within the country to abroad. Conjugateigradient Fletcher-Reeves Algorithm According to some references, it is an appropriate development technique compared to the backpropagation strategy because this strategy can speed up the preparation time to arrive at the minimum convergence value. Furthermore, this research shows whether the algorithm performs well and can provide productive assembly results when used to solve problems because the value corresponds to the Standard International Trade Classification (SITC) class. The prediction models used are 5-10-1, 5-15-1, 5-20-1, 5-25-1 and 5-30-1. MSE of 0.00287273, the minimum among the other four models. The model can be used because it produces a fast combination and a fairly short period

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Pemanfaatan Algoritma JST untuk Menentukan Model Prediksi Umur Harapan Hidup Saat Lahir

Cited by 2 publications

References 13 publications

Prediksi Kunjungan Wisata Kota Payakumbuh Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation

Prediksi Kunjungan Wisata Kota Payakumbuh Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation

Implemetasi algoritma fletcher-reeves dalam menganalisa nilai ekspor menurut golongan sitc

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