Journal of Computer Science

The Implementation of Online Learning for Early Detection of Cervical Cancer

Hery Harjono Muljo, Bens Pardamean and Anzaludin Samsinga Perbangsa

DOI : 10.3844/jcssp.2017.600.607

Journal of Computer Science

Volume 13, Issue 11

Pages 600-607

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.

Copyright

© 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.