| Penulis/Author |
Ir. Andri Prima Nugroho, S.T.P., M.Sc., Ph.D., IPU., ASEAN Eng., APEC Eng. (1) ; SIWI YUWANITA M (2); Dr. Murtiningrum, S.T.P., M.Eng. (3); Prof. Dr. Ir. Sigit Supadmo, M.Eng. (4) |
| Abstrak/Abstract |
Irrigation is one of the main supporters in the application of modern agriculture to ensure the availability of water as an input to agricultural production. Nowadays, irrigation modernization in Indonesia is intended to realize a participatory irrigation management system that is oriented towards fulfilling the level of irrigation services in an effective, efficient and sustainable manner. Information management with the support of equipment based on sensor networks and online databases is absolutely necessary to support the implementation of irrigation modernization. Sensor-based supporting equipment includes the Automatic Water Level Monitoring System (AWLMS) for estimating the flow of open irrigation canals based on the water level in conventional measuring buildings. However, the other important factor is the development of the supporting software and hardware as well as the performance testing of the equipment needed to prepare for the overall implementation in the next five to ten years. The purpose of this research was to conduct a study for the development of telemetry equipment (AWLMS) to support the Implementation of Irrigation Modernization. The method used is Software Cost Model Estimation for the Research and Development (R&D), providing solutions for solving budget estimation problems, especially when developing AWLMS so that budget estimates for equipment are not only physical aspects (hardware and software) of the tool but also cover maintenance and operational costs within a certain period of time. The estimation tools used to estimate is the Function Point method, a function-oriented approach to measuring software functionality to estimate the size of the software and then used for cost estimation and effort estimation needed to develop the system. Retrieval of data used is by measuring the weight of the complexity of the software. Data analysis carried out includes Crude Function Point (CFP) value, Relative Complexity Adjustment Factor (RCAF), Function Point (FP) value, effort value, Kloc (Kilo Lines of Code) value, final effort value, effort value to activity, and distribution to the workforce. The results of the study using the Function Point method obtained that the factor are the complexity of the software, the value of the measured software size, the level of difficulty at the software implementation stage, the estimated time required for software development, and the activities carried out by the workforce for software development. |
