Forecast of Aviation Traffic in Indonesia Based on Google Trend and Macroeconomic Data using Long Short-Term Memory

Khafidli, Muhammad Khanif; Choiruddin, Achmad

doi:10.1109/icodsa55874.2022.9862894

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…Moving range is a statistical control map used in quality control, checking the correctness of forecasting methods based on control limits [15].…”

Section: Mape (Mean Absolute Percentagementioning

confidence: 99%

Comparison of Three Time Series Forecasting Methods on Linear Regression, Exponential Smoothing and Weighted Moving Average

Ajiono

2023

IJIIS Int. J. Informatics Inf. Syst.

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The purpose of this study is to compare the 3 forecasting methods Linear Regression, Exponential Smoothing and Weighted Moving Average based on the smallest error value or close to zero. From the results of this study, the Linear Regression method was obtained as the correct method with a predicted value of 502 students, the smallest error value was MAD 27.83, MSE 1152.1 MAPE 8.1%. The Tracking Signal value moves between 1 and -1, the movement is within the control limits of the tracking signal standard deviation distribution 4 and -4, meaning that the method is correct. The Moving Range value moves between 68 and -46, this value is within the MR control limits of 117.83 and -117.83, this result shows that this means that this method has been tested for truth and can be accepted as well. Thus, indicating that the Linear Regression method as a forecasting method is appropriate and acceptable as a basis for future decision making. The level of accuracy of the error and the value in control shows that there is a time series data relationship between the x variable, namely time, and the variable y, namely actual data. In addition, it produces trending data movement patterns, meaning that data movements experience a significant increase over a long period of time or for 7 periods.

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“…Moving range is a statistical control map used in quality control, checking the correctness of forecasting methods based on control limits [15].…”

Section: Mape (Mean Absolute Percentagementioning

confidence: 99%

Comparison of Three Time Series Forecasting Methods on Linear Regression, Exponential Smoothing and Weighted Moving Average

Ajiono

2023

IJIIS Int. J. Informatics Inf. Syst.

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show abstract

“…Instrument Landing System (ILS) is a device that can provide precise orientation and glide guidance for aircraft to implement precise approaches 1,2 . The ILS mainly includes two subsystems, one providing horizontal guidance, namely the Localizer (LOC), and the other providing vertical guidance, namely the glide path (GP).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the influence of the mountain in front of the GP on signal quality

lin,

liang,

et al. 2023

Fourth International Conference on Signal Processing and Computer Science (SPCS 2023)

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Forecasting Pipelines Operating Pressure: A Proactive Approach to Prevent Oil Congealing Using ARIMA, FFNN, and Hybrid Models

Nugroho,

Choiruddin

2024

2024 IEEE International Symposium on Consumer Technology (ISCT)

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Forecast of Aviation Traffic in Indonesia Based on Google Trend and Macroeconomic Data using Long Short-Term Memory

Cited by 6 publications

References 22 publications

Comparison of Three Time Series Forecasting Methods on Linear Regression, Exponential Smoothing and Weighted Moving Average

Comparison of Three Time Series Forecasting Methods on Linear Regression, Exponential Smoothing and Weighted Moving Average

Analysis of the influence of the mountain in front of the GP on signal quality

Forecasting Pipelines Operating Pressure: A Proactive Approach to Prevent Oil Congealing Using ARIMA, FFNN, and Hybrid Models

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