CD Skripsi

Prediksi Tingkatan Penggunaan Transportasi Massal Masyarakat Indonesia Menggunakan Metode Arima

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Mass transportation plays an important role in community mobility in Indonesia. Therefore, predicting the level of use of mass transportation is crucial in planning and policy making. This study aims to forecast the number of mass transportation users in Indonesia using the Autoregressive Integrated Moving Average (ARIMA) method. The results of this study show that the ARIMA (1,1,0) model on aircraft data provides better predictive value results compared to the other two models, namely the ARIMA (0,1,1) model and the ARIMA (2,1,0) model. The ARIMA (1,1,0) model has been successfully tested significant with a p-value of 0,0635 smaller than the alpha value of 0,10 accompanied by the lowest Akaike Information Criterion (AIC) value of 1368,6275 and evaluation of model accuracy measurement using Root Mean Square Error (RMSE) of 669.218. And in the train data, the ARIMA (0,1,0) model provides the best predictive value results compared to the other two models, namely the ARIMA (0,1,1) model and the ARIMA (1,1,0) model. The ARIMA (0,1,0) model has been successfully tested significant with a p-value of 0,0001745 smaller than the alpha value of 0,05 accompanied by the lowest Akaike Information Criterion (AIC) value of 1489,44 and evaluation of model accuracy measurement using Root Mean Square Error (RMSE) which is 2.542.836.

Keywords: ARIMA, Plane, Prediction, Train, Transportation

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2103125610

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2103125610

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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