The number of COVID-19 cases is rising, and so is the demand for oxygen. Compared to other processes, the PSA process is inexpensive because of its cheap running co sts and great efficiency, may filter nitrogen so that highly pure oxygen remains. Furthermore, the adsorbents adsorption performance can also be influenced by the duration of the air adsorbent surface interaction. In order to create oxygen concentrators that can produce high oxygen purity, by using the PSA method and Li-X adsorbents 0.4mm as much as 90% of the volume chamber, this study conducts two scenarios to determine the ideal cycle time values that impact oxygen concentration results. Scenario 1 aims to find optimal cycle time values by conducting various experiments showing whether the P&O algorithm can be used on concentrator oxygen systems. The purpose of the scenario 2 is to determine when it is appropriate to release nitrogen and oxygen, and to see how variations in their release periods affect the creation of oxygen concentrations. The result of this study is the P&O algorithm and its modification can be applied to the oxygen concentrator system, with an average error of 1.23% compared to the manual data, if compared to the curve fitting of a manual data the error is 1.75%. For the error of the modified P&O compared to the manual data is 1.36%, and compared to the curve fit is 1.28%. In scenario 1, the optimum cycle time value is found, eight seconds to obtain the highest oxygen concentration is 80.32%. Then in scenario 2, nitrogen being released four seconds after oxygen, resulting an increase in oxygen concentration of 6.86% from scenario 1 to 87.13%.