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2021 - Volume 4 - Number 2

Gamified Blood Donors System Based on Intelligent Agents

James Mugi Karanja * karanja.mugi@ku.ac.ke * ORCID: 0000-0002-1016-1962
Kenyatta University, School of Engineering, Nairobi, KENYA

Harrison Njoroge * njoroge.harrison@ku.ac.ke
Kenyatta University, School of Engineering, Nairobi, KENYA

Open Journal for Information Technology, 2021, 4(2), 41-54 * https://doi.org/10.32591/coas.ojit.0402.02041k
Received: 9 August 2021 ▪ Accepted: 1 October 2021 ▪ Published Online: 11 November 2021

LICENCE: Creative Commons Attribution 4.0 International License.

ARTICLE (Full Text - PDF)

ABSTRACT:
The population of the country of Kenya is drastically increasing thus causing the number of possible blood donors to rise. Despite this, the blood collected and stored in most blood banks is not enough to cater for the huge demand. The demand has been due to increase of number of accidents experienced in the country and the advancement in medical procedures which calls for organ transplant and blood transfusion. Even though systems have been developed which can connect the donors and recipients and location tracking, most people are dying because they don`t get this vital commodity in good time. The process of donating blood has not been enticing. There is nothing that prompts a person to donate blood. This call for developing a gamified blood donor management system based on intelligent agents so as to increase the number of donors and keep the system performance at optimal level. The project adopts Goal-Oriented Methodology in the system development process. Two agents are developed: donors’ agent and the blood admin agent. The intelligent agents help in profiles personalization thus improving the system performance. Gamification technique is implemented in the system so as to increase the traffic of blood donors interacting with the system and participating in the donation exercise. This increase the number of blood donors hence enough blood is collected to cater for the huge demand.

KEY WORDS: gamification, intelligent agents, blood donation system.

CORRESPONDING AUTHOR:
James Mugi Karanja, Kenyatta University, School of Engineering, Nairobi, KENYA. E-mail: karanja.mugi@ku.ac.ke.

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