The continue searching for organization’s process improvement for reduce cost and increase efficiency is a big challenge for organizations nowadays. This paper is about to recognize the importance of process improvement focusing in the right human resource allocation. The research predict best optime human resource allocation in the Superintendencia Nacional de Aduanas (SUNAT) in the chemical materials control area using a linear regression machine learning algorithm. This model was validated with recollected data in the SUNAT’s control locations, the results were compared with historical data to determine their efficiency obtained a mean square error 0.434 that is lower comparing to logistic regression and support vector machine algorithm. This research recommend the implementation of this model in all SUNAT’s controls locations in Peru.

In Peruvian Tuberculosis Reference Laboratory of the Regional Health Directorate of Callao, issues related to the diagnostic process where identified, because of the slowly generations of patients result. This research develops a web application to solve these issues using a participatory design. Qualitative data were recollected through interviews and focus groups in 45 medical centers belong to the regional health directorate (DIRESA) from Callao. These data were used to define the correct design and develop the required processes in the web application. Quantitative data were recollected either, to measure the efficiency of the new diagnostic process using the web application. The results show that with the use of the web application 120 hours were reduce from the monthly validation results and avoid the generation of 8,700 duplicate information, with these results the diagnostic proc...