Implementation of Deep Learning Predictor (LSTM) Algorithm for Human Mobility Prediction

Authors

  • Ida Nurhaida Universitas Mercu Buana
  • Handrie Noprisson Universitas Mercu Buana
  • Vina Ayumi Universitas Mercu Buana
  • Hong Wei University of Reading
  • Erwin Dwika Putra Universitas Muhammadiyah Bengkulu
  • Marissa Utami Universitas Muhammadiyah Bengkulu
  • Hadiguna Setiawan Universitas Muhammadiyah Bengkulu

DOI:

https://doi.org/10.3991/ijim.v14i18.16867

Keywords:

human mobility, long short-term memory (LSTM), DBSCAN

Abstract


The studies of human mobility prediction in mobile computing area gained due to the availability of large-scale dataset contained history of location trajectory. Previous work has been proposed many solutions for increasing of human mobility prediction result accuration, however, only few researchers have addressed the issue of human mobility for implementation of LSTM networks. This study attempted to use classical methodologies by combining LSTM and DBSCAN because those algorithms can tackle problem in human mobility, including large-scale sequential data modeling and number of clusters of arbitrary trajectory identification. The method of research consists of DBSCAN for clustering, long short-term memory (LSTM) algorithm for modelling and prediction, and Root Mean Square Error (RMSE) for evaluation. As the result, the prediction error or RMSE value reached score 3.551 by setting LSTM with parameter of epoch and batch_size is 100 and 20 respectively.

Author Biographies

Ida Nurhaida, Universitas Mercu Buana

Ida Nurhaida is senior lecturer of Computer Science in Universitas Mercu Buana, Indonesia. Her research interests are Image Processing, Networking and Deep Learning.

Handrie Noprisson, Universitas Mercu Buana

Handrie Noprisson is lecturer of Computer Science in Universitas Mercu Buana, Indonesia. His research interests are Data Science and Information System. He can be contacted at e-mail address: handrie.noprisson@mercubuana.ac.id.

Vina Ayumi, Universitas Mercu Buana

Vina Ayumi is lecturer of Computer Science in Universitas Mercu Buana, Indonesia. Her research interests are Image Processing and Deep Learning. She can be contacted at e-mail address: vina.ayumi@mercubuana.ac.id.

Hong Wei, University of Reading

Hong Wei is Associate Professor in Computer Science at University of Reading, UK. Her research interests are Computer Vision, Image Analysis, Pattern Classification.

Erwin Dwika Putra, Universitas Muhammadiyah Bengkulu

Erwin Dwika Putra is lecturer of Informatics Engineering in Muhammadiyah University of Bengkulu, Indonesia. His research interests are Image Processing and Software Engineering.

Marissa Utami, Universitas Muhammadiyah Bengkulu

Marissa Utami is lecturer of Informatics Engineering in Muhammadiyah University of Bengkulu, Indonesia. Her research interests are Data Science and e-Business.

Hadiguna Setiawan, Universitas Muhammadiyah Bengkulu

Hadiguna Setiawan graduated from Muhammadiyah University of Bengkulu, Indonesia. His research interests are Data Science and e-Business.

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Published

2020-11-10

How to Cite

Nurhaida, I., Noprisson, H., Ayumi, V., Wei, H., Dwika Putra, E., Utami, M., & Setiawan, H. (2020). Implementation of Deep Learning Predictor (LSTM) Algorithm for Human Mobility Prediction. International Journal of Interactive Mobile Technologies (iJIM), 14(18), pp. 132–144. https://doi.org/10.3991/ijim.v14i18.16867

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Papers