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In Indonesia, Pavement condition measurement tools did not fully distributed to every region especially on the level regional road. This matter happen becaouse the amount of costs which needed to procure the measurement tools To overcome the problem of the availability of these equipment, the agency that has authority over roads usually conducts visual surveys in determining the conditions of road pavement. In line with technological developments, many inovation had been made to determine functional conditions of road pavement road using minimum procurement cost. One of the innovations which being developed in determining pavement conditions is the use of smartphones to measure road pavement roughness. By using an installed mobile application on the smartphone roughness measurements can be done. RoadroidTM is a mobile application that can be used in these measurements. Roadroid application measures roughness on International Roughness Index (IRI). In this research roughness surveys was conducted to give a recomendation about the usage of Roadroid. The survey was conducted with various conditions such as differences in speed and testing repetition. Based on the analysis , it can be seen that surveys with a speed of 20-40km/hour provide the best data quality in terms of repetition with repetition error is <20% (20m segmentation), <12% (50m segmentation), and <11% (100m segmentation). Roadroid has an accuracy issues that affects the sensitivity of IRI at certain segment intervals. Thus, the output data should be generated in large segments such as 100m. Based on the statistical analysis performed the best relationship between the conditions of pavement between the two methods (IRI and PCI) occurred at a survey speed of 20-40km / hour 100m segmetation with a correlation coefficient according to Spearman Rank test of 0.774 and 0.737 for Kendall Rank test. Correlation coefficient in statement before shows that the pavement conditions based on Roadroid IRI of 20-40km/h have the best correlation with PCI pavement conditions. In terms of segmentation, the longer the segmentation interval give the greater the correlation between IRI Roadroid and PCI pavement conditions.