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Frequency: Monthly
ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

The Implementation of Online Learning for Early Detection of Cervical Cancer

Hery Harjono Muljo1, Bens Pardamean1 and Anzaludin Samsinga Perbangsa1
  • 1 Bina Nusantara University, Indonesia

Abstract

Cervical cancer is the second leading type of cancer causing death among women in Indonesia. The mortality rate caused by cervical cancer could be reduced through an early detection program, which would require the training of healthcare workers in educating women in Indonesia. The aim of this study was to develop an online learning management system prototype that is suitable for educating both the public and medical personnel about early detection of cancer based on model of previous study result. The research method utilized the Analysis, Design, Development, Implementation, Evaluation (ADDIE) framework as an approach of System Development Life Cycle (SDLC). The study produced an online Learning Management System (LMS) to assist in the efforts of early detection of cervical cancer.

Journal of Computer Science
Volume 13 No. 11, 2017, 600-607

DOI: https://doi.org/10.3844/jcssp.2017.600.607

Submitted On: 31 July 2017 Published On: 9 November 2017

How to Cite: Muljo, H. H., Pardamean, B. & Perbangsa, A. S. (2017). The Implementation of Online Learning for Early Detection of Cervical Cancer. Journal of Computer Science, 13(11), 600-607. https://doi.org/10.3844/jcssp.2017.600.607

Open AccessCopyright: © 2017 Hery Harjono Muljo, Bens Pardamean and Anzaludin Samsinga Perbangsa. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Cervical Cancer
  • Early Detection
  • Online Learning