The purpose of this study is to improve the efficiency of press machine for producing finish good product thru design of experiments application. Design of experiments (DOE) is a systematic method to determine the relationship between factors affecting a process and the output of that process. In other words, it is used to find cause-and-effect relationships. This information is needed to manage process inputs in order to optimize the output. Pressing process is significant to improve since the output of the palm oil product will be divided into two which are palm oil and palm nuts. Thru this study, a full factorial design has been used to study the effects of four important parameters which are temperature, cone angle, cone pressure and percentage of water.  All parameters selected verified by the subject matter expert and some reference of journals. Due to cost constrain, the experiment was carried out with only single replication. The measurement of output response is identified as percentage of broken nut. Referring to the company specification, the percentage of broken nuts must not exceed than 7 %. Randomize experiments was conducted based on table generated thru Minitab software. From the result gain, the normal probability test was carried out using Anderson Darling Test and show that the P-value is 0.325. Thus, the data is normal since there is no significance different between the actual data with the ideal data. Referring to effect estimate value for each parameter, factor B (Cone Angle) was not significant. Thus the experiments were converted from 2⁴ to 2³ with two replications. Table ANOVA was built based on the result and new design of experiments. Referring to the ANOVA, all of the factors are significant since the P –value for each of parameters less than 0.05. Finally, from the main plot and interaction plot the optimize setting for each of parameters were identified as low level for temperature, low level for cone pressure and high percentage of water. In future recommendation, the regression analysis was developed in order to measure effect of output response for any changes on parameters setting.