The choice of this subject is related to the object that has activated our attention as a researcher and strikes our imagination. It all started with an exchange between colleagues and an observation made when we were watching a tourist documentary of the city of Lubumbashi, so we were driven by the taste of wanting to improve the tourism process to grant quick access to all sites available in the city for sightseeing. This work will provide the IT solution to the Ministry of Tourism and more specifically to the Tourism Service through the application that will be designed and implemented with regard to the process of tracking tourists and better managing them to maximize revenue.
The SERNIE is an educational system that guarantees the quality of education, the circulation of fake school coins, in short, it fights against anti-values in the school environment. The SERNIE awakens the conscience of parents in the supervision of their children to increase discipline and observation. The Ministry of Primary, Secondary and Vocational Education is working through SERNIE to fight relentlessly all the flaws observed in the head of managers, students and parents alike. The SERNIE is also a powerful weapon of deterrence in the hands of the authorities of the Ministry of EPESP. The choice of our subject is not a random fact, it is explained by the fact that we have seen the way in which the management of student identification works. Certainly, the SERNIE has set very relevant objectives, among which we just mention the identification of students in order to prevent fraud and school vagrancy. But the information system as designed now does not really allow it to achieve its ends.
In this work it was a question of evaluating the productivity of different varieties of local cassava grown in the Territory of Kabongo. To achieve the objectives we have set ourselves, the data were collected at MUKOLA following a completely randomized experimental design during the month of March of the year 2021. The yield parameter in terms of the number of chips per variety was evaluated. It emerges from the analysis of the variance of the following classification: KILEBE = KATSHILUSA ≥ ASUMINI = MULOKO with regard to the number of chips per variety.
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