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The International Water Association states that water loss is an efficient indicator of the performance of a water company that has been implemented internationally. The volume of water loss expressed as Non Revenue Water at the global level shows a high number. Every year more than 32 billion m3 of treated water is lost due to leakage from the distribution network. There are four pillars in a leak management strategy include management of pressure, speed of repair, active leakage control, and asset management. These factors influence how leakage is managed and thus the volume and value of economic leakage - in a distribution network of water companies. The Current Annual Volume of Physical Losses tends to increase along with the increasing service area of the distribution network. The rate of increase can be inhibited by the right combined strategy between the four components in an effective leakage management strategy. In this study, the factors that influence Non Revenue Water in water distribution system in Malang Town are analyzed by focusing on the speed of recovery aspect. With the expansion of service areas, the distribution of locations has an effect on the speed of recovery. In the end, the expected results of this study are to find the significance of the relationship between the distribution pattern of the location of damage to the water distribution network and the speed of recovery. The data in this study include historical data on the location of damage to the pipeline for 8 years which includes spatial data and historical data on the recovery of each damage in the form of attribute data. The method used in this study is the spatial point process. Poisson distribution in the spatial point process is chosen as the leakage location distribution approach. The results of the analysis state that the distribution pattern of leakage is inhomogeneous poisson process. Based on the model obtained by the simulation result, it is found that the effectiveness of the repair need to consider covariate location variable such as demand junction and border of District Metered Area.