Analisis Pengenalan Bendera Negara Rumpun Melayu Menggunakan Metode Feed Forward Neural Network

Santoso, H; Murdianto, Deny

doi:10.34010/jati.v10i2.2702

Cited by 1 publication

(1 citation statement)

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“…The results of the study indicate that the SVR equation using the Kernel Gaussian RBF function obtained a value of 98.72% for data training and 97.96% for data testing. References [15] researched "ARIMAX, FFNN, and ARIMAX-FFNN modeling for rice production forecasting in Central Java Province". The results of the study show that the analysis of this study resulted in the best ARIMAX model being the ARIMAX model.…”

Section: ì 723mentioning

confidence: 99%

Community Purchase Decision Modeling in Bali with Non-Linier Methods

Hendayanti¹,

Nurhidayati

Soraya

et al. 2022

matrik

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The Covid-19 pandemic has resulted in all activities having to be carried out by implementing physical distancing or social distancing in accordance with health protocols for mutual safety. The government encourages people to do more activities at home, including shopping. Consumer perception of purchasing goods online is a process of evaluating various alternatives and choosing one alternative to purchase goods using internet media. The government appealed to the public to take advantage of online shopping to minimize the spread of Covid-19. This indicates that there are factors that influence consumer perceptions of purchasing goods online during the Covid-19 pandemic. The purpose of this study was to examine the effect of perceived convenience, perceived benefits, perceived trustworthiness, and product quality on people’s purchasing decisions in Bali using the Structural Equation Modeling-Partial Least Square (SEM-PLS) approach, Support Vector Regression (SVR), and Feed Forward Neural Network (FFNN). Based on the results of the tests carried out, the SEM-PLS model is able to produce a model with an R2 value of 72.7% with a MAPE of 337.37, an SVR model of 65.88% with a MAPE of 219.56 and a FFNN model of 97.28% with a MAPE of 90.22. Based on the resulting R2 and MAPE values, the FFNN model gives the highest results compared to other models.

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Section: ì 723mentioning

confidence: 99%