TY - GEN
T1 - Computer Aided Personal Interview (CAPI) Project Cutover Management in Statistics Indonesia
T2 - 6th International Conference on Computing, Engineering, and Design, ICCED 2020
AU - Rahayuningtyas, Nia Dwi
AU - Rishartati, Peny
AU - Rahmatika, Miftahu
AU - Adetia, Aisha
AU - Shihab, Muhammad Rifki
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/15
Y1 - 2020/10/15
N2 - 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.
AB - 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.
KW - CAPI
KW - CAPI in Survey and Census
KW - managing dip
KW - project cutover
UR - http://www.scopus.com/inward/record.url?scp=85105866147&partnerID=8YFLogxK
U2 - 10.1109/ICCED51276.2020.9415782
DO - 10.1109/ICCED51276.2020.9415782
M3 - Conference contribution
AN - SCOPUS:85105866147
T3 - 6th International Conference on Computing, Engineering, and Design, ICCED 2020
BT - 6th International Conference on Computing, Engineering, and Design, ICCED 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 October 2020 through 16 October 2020
ER -