Ramadhani A. Duma

Work place: St. John’s University of Tanzania, P.O.Box 47, Dodoma, Tanzania

E-mail: radsiffi@yahoo.com


Research Interests: Computer systems and computational processes, Computer Architecture and Organization, World Wide Web, Data Structures and Algorithms


Ramadhani A. Duma is an assistant Lecturer at the Centre of Information and Communications Technology of St. John’s University of Tanzania. He obtained his Master of Science Degree in Computer Science from the University of Dar es Salaam in 2015. He is currently teaching computing related courses. His research interests include ICT4D, Databases, Data warehousing and Web Services.

Author Articles
A Framework for Adaptation of Virtual Data Enumeration for Enhancing Census – Tanzania Case Study

By Ramadhani A. Duma

DOI: https://doi.org/10.5815/ijmecs.2017.08.06, Pub. Date: 8 Aug. 2017

Population census is an enormous and challenging national exercise with many stakeholders whose participation is required at all levels of government or public administration. The problem of high cost in conducting the traditional census process imposes extra and unaffordable cost in most of the developing countries which resulted into ten-year defaulting for census enumerations. This challenge compels nations to seek for assistance mostly from various donors nations in every census enumerations exercise. Virtual Census enumerations play a vital role in demographic data enumerations since it does not require physical involvement in Enumeration Area as in traditional enumerations approach. In this paper the main focus is on data integration from different heterogeneous sources, addressing cleansing challenge for data integrated from data sources with no common key for integrations, building virtual data integration framework for enhancing virtual censuses enumeration process. The developed framework and algorithms can be used to guide design of any other data integration system that need to address similar challenges in related aspects. The outcome of this work is suitable and cheaper technique of demographic data enumeration as compared to traditional technique which involves a lot of manual works and processes.

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