Penerapan Teknik Data Mining Untuk Memprediksi Jumlah Penumpang Pesawat Pada Bandara Indonesia
Kata Kunci:
Airport, Passengers, Prediction, Rstudio, Simple Linear RegressionAbstrak
The purpose of this research is to predict how many plane passengers on the airport Soekarno Hatta and Ngurah Rai with the data obtained on 2017 - 2021. On this research, this study will compare the dataset that this study acquired before from BPS, to predict the amount of the passengers on airport Soekarno Hatta and Ngurah Rai, this study will be using a software called RStudio and try to execute with simple linear regression method. The information from prediction and research can be used or changed by anyperson of importance such as for promotion, advertisement, as well as the usage on RStudio.
Referensi
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M. T. Ikhsan, D. Rusadi, and M. Ghalih, “Analisis Pengaruh Jumlah Keberangkatan Penumpang di Bandara Pada Penerbangan Domestik dan Internasional di Indonesia,” J. Ris. Akunt. Politala, vol. 2, no. 1, pp. 8–15, 2017.
F. Rianda, “Pemodelan Intervensi Untuk Menganalisis dan Meramalkan Jumlah Penumpang Pesawat di Bandara Soekarno-Hatta Akibat Pandemi,” vol. 19, pp. 283–292, 2021.
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L. Saletti-cuesta, C. Abraham, and P. Sheeran, “Analisis Dampak Covid 19 Terhadap Penerbangan Di Indonesia,” pp. 1-9, 2020, [Online]. Available: https://journal.universitassuryadarma.ac.id/index.php/jmm/article/viewFile/638/609.
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Hak Cipta (c) 2021 Anriestito Verdwiansyah R. Subandi, Hary Gunawan, Kiven Lorenza Supriyanto
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