Mobile Learning for Early Detection of Cancer

Authors

  • Hery Harjono Muljo Bina Nusantara University
  • Anzaludin Samsinga Perbangsa Bina Nusantara University
  • Yulius Yulius Bina Nusantara University
  • Bens Pardamean Bina Nusantara University

DOI:

https://doi.org/10.3991/ijim.v12i2.7814

Keywords:

cancer, early detection, mobile learning

Abstract


Information and communication technology continues to grow and affects many areas of life, including the field of health, especially cancer. The development of health knowledge can be disseminated by utilizing mobile application based learning technology as media. Many things have been done by the government through special programs, among others, carried out breast cancer awareness campaign through breast self-screening program. The positive impact of this effort has led to mobile applications for learning about early detection of cancer in Indonesia. The development of mobile learning is a continuation of previous online learning to help the process of early detection of cervical cancer. Data collection methods used observation, interview, and questionnaire techniques, while instructional designs use the ADDIE (Analysis Design Development Implementation Evaluations) model and methods for developing object-oriented programming systems using Unified Modeling Language (UML). The resulting output is the application of early detection of cancer-based mobile learning which is the virtue of this study.

Author Biographies

Hery Harjono Muljo, Bina Nusantara University

Hery Harjono Muljo is a researcher at Bioinformatics & Data Science Research Center and a lecturer at Accounting Program, Bina Nusantara University, Jakarta, Indonesia. His research expertise is in developing management information system of health institutions such as hospitals and clinics.

Anzaludin Samsinga Perbangsa, Bina Nusantara University

Anzaludin Samsinga Perbangsa is a researcher at Bioinformatics & Data Science Research Center and a lecturer at School of Information Systems, Bina Nusantara University, Jakarta, Indonesia. His research expertise is in developing tools to investigate the interplay of genetic and environmental factors in agriculture and has developed agricultural germplasm database.

Yulius Yulius, Bina Nusantara University

Yulius is a researcher at Bioinformatics & Data Science Research Center and a lecturer at School of Information Systems, Jakarta, Indonesia. His current research interest focus on developing tools and strategies with IT solution to face global IT trends.

Bens Pardamean, Bina Nusantara University

Director of Bioinformatics & Data Science Research Center and Associate Professor of Computer Science, Bina Nusantara University, Jakarta, Indonesia. His research expertise is in information technology, bioinformatics, and education, including a strong background in database systems, computer networks, and quantitative research.

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Published

2018-03-29

How to Cite

Muljo, H. H., Perbangsa, A. S., Yulius, Y., & Pardamean, B. (2018). Mobile Learning for Early Detection of Cancer. International Journal of Interactive Mobile Technologies (iJIM), 12(2), pp. 39–53. https://doi.org/10.3991/ijim.v12i2.7814

Issue

Vol. 12 No. 2 (2018)

Section

Papers