Verifying the Accuracy of the Community Based Monitoring System in Targeting Poor Households Verification Results in Two Sample Villages

Targeting has been a recurring problem in implementing a program. The SMERU Research Institute has developed a data collection system based on the local community and the
analysis is conducted objectively by utilizing the Principal Component Analysis method. The data collection system is known as the Community Based Monitoring System (CBMS).
The system is acknowledged to have high accuracy and in fact, in the Philippines, it has been made a national policy. In Indonesia, the utilization of the system has been tried out in
four villages in West Java and Central Java. The results of the CBMS tryout could identify the families in the villages based on the family welfare ranking, starting from the most
prosperous family to the least prosperous or the poorest.
To test the accuracy of the results of the CBMS pilot test in Indonesia, SMERU conducted a verification utilizing the focused group discussion (FGD) method in two of the four tested CBMS villages. The verification results show that CBMS calculation results have quite high accuracy. CBMS is able to correctly rank the RW and hamlets based on the family welfare in each of the respective area. The accuracy of the results will sharpen the area targeting in conducting a program. Furthermore, CBMS is also able to predict the ranking of family welfare with quite high accuracy, so that in the end it is expected that subjectivity in the targeting of a program can be minimized.