MATEC Web Conf.
Volume 164, 2018The 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017)
|Number of page(s)||6|
|Published online||23 April 2018|
Big Data Analytics: Towards a Model to Understand Development Equity for Villages in Indonesia
Information System Department, Faculty of Science and Technology, Universitas Ma Chung Malang, Villa Puncak Tidar N-01, Karangwidoro, Dau, Malang, East Java, 65151, Indonesia
2 Informatics Department, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Jl. Gajayana 50, Malang, East Java, 65144, Indonesia
* Corresponding author: firstname.lastname@example.org
The aim of this paper is to design a prototype model that can be used to better understand development equity for villages in terms of public monitoring and evaluation. In designing the model, the research has reviewed several techniques of big data analytics as well as alignment of business strategic objectives and technology. The prototype model also tested using several types of data. Although some obstacles have found, as it also found in the reviewed literature, a prototype model which can guide researchers and practitioners to understand ways to capture public monitoring is presented in this paper. Furthermore, Information systems researchers could use this prototype model for further research to get a deeper understanding of big data analytics roles for development, particularly in developing countries.
Key words: Big data analytics / Big data for development / Developing countries / Villages
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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