Software complexity measurement of water poverty mapping application with function point method

The emergence of various problems of the water crisis in Central Java, urge on need for developing the mapping application of the water poverty level in that area to help the Government and related parties in executing the decision making required. This application will map the poverty levels of the water from 8,576 villages, 573 subdistricts and 35 regencies in Central Java by using the technique of spatial data mining and the approach of the water poverty index (WPI). Seeing the magnitude of that application scope, then it needs to do the software complexity measurement to find out further the resources needed for the development of the system in the future. The measurement of the software complexity is held with the Function Point (FP) method that produces the estimation of the resource requirements such as project work effort, project duration and speed of delivery. The results of the research showed that the software water poverty mapping owns the complexity level with FP at 136.64, the project work effort at 1,273 hours, the project duration in 4.037 months and the speed of delivery at 33.85 FP per person month.