Implementation of Dynamic Filtering on Blood Donor Finder System to Increase Number of Regular Voluntary Donor

• Main Author: Afriani - NIM: 18212006 , Nadhira
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/23398
• Institution: Institut Teknologi Bandung

Scarcity of blood supply often happens in developing countries with huge population size, including Indonesia. This is concerning because blood is a vital commodity in healthcare. One approach that can be followed to tackle this problem is by aiding the process of finding blood donor, which requesters need to perform on their own when blood is not available in blood banks. Researches regarding blood donor finder system has been performed although still with limitations, making them unable to yield satisfactory rate of donor fulfillment. These limitations include irrelevance of search results, inadequacy of overall feature, lack of special treatment for urgent request, as well as low information credibility and security of donor personal data. On the other hand, opportunity arises regarding the use of data mining to predict untargeted donation in the next month based on donor history. By incorporating this idea, blood donor finder system can prioritize donor with no plan for an untargeted donation to respond to requests, as opposed to donor with prior plan. Hence, more donation will be made in total and more regular voluntary donors (RVD) will be generated, which will bring more stable supply in the future. In this research, we designed a filtering algorithm that utilizes data mining to predict untargeted donation and eliminates the limitations occurred in the existing solution. We also designed a concept of blood donor finder system implementing that algorithm with more comprehensive features. Through evaluation using simulation, it is found that the proposed solution yielded more RVD and higher fulfilment rate although with relatively longer booking time compared to existing solution.