Computer Aided Personal Interview (CAPI) Project Cutover Management in Statistics Indonesia: A Lesson Learned

Abstract

The use of CAPI in survey/census data collection has enormous potential benefits, such as speeding up the process of statistics production, reducing costs, and improving data quality. Unfortunately, when the CAPI was implemented in Statistics Indonesia, many parties were disappointed because the expected benefits could not be realized. Even it was stopped in one survey. This study aims to reveal the problems that occur in the implementation of CAPI and the efforts made by Statistics Indonesia to overcome these problems. Interviews were conducted to obtain the information needed. The results of this study are a list of problem-solutions that are grouped according to the DeLone and McLean models based on user perspective, subject matter perspective, and IT perspective. Besides considering solutions to each problem, several variables like survey complexity, developer capability, and testing schema also must be considered in the future, so CAPI could continue and achieved the expected goals.