TY - GEN
T1 - Evaluation on Data Operations Management using CMMI and DMBOK
T2 - 9th International Conference on Cyber and IT Service Management, CITSM 2021
AU - Brahmantara, Randy Prima
AU - Hutapea, Destri Yanti
AU - Ruldeviyani, Yova
N1 - Funding Information:
We would like to thank Remote Sensing Technology and Data center, National Institute of Aeronautics and Space of Indonesia. And also, the Faculty of Computer Science, University of Indonesia for the supports.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - National Institute of Aeronautics and Space of Indonesia is obliged to organize remote sensing data storage and distribution through National Remote Sensing Data Bank (BDPJN). BDPJN is a node of the remote sensing data network in a spatial national data network system. BDPJN has the primary function of collecting, storing, distributing metadata and remote sensing data for Indonesia territory. Evaluation of data operation management is needed to guarantee the continuity of the remote sensing data service at BDPJN. It has to ensure that: the catalog can be accessed by users, the catalog is continuously updated with data stored in the BDPJN storage system, and the data is available when needed. This research is purposed to evaluate data operation management on BDPJN. It is implemented by measuring the maturity level of data operations management activities using the CMMI and DMBOK frameworks. The results indicated that BDPJN has ten activities that have met an expected level of maturity. However, five of fifteen activities have below maturity level 3. Three activities at maturity level 1 are Monitor and Tune Database Performance, Plan for Data Retention, Archive, Retain, and Purge Data. The two others are Define the Data Technology Architecture and Evaluate Data Technology, which is at maturity level 2. Recommendations have been arranged based on references from DMBOK for these five activities.
AB - National Institute of Aeronautics and Space of Indonesia is obliged to organize remote sensing data storage and distribution through National Remote Sensing Data Bank (BDPJN). BDPJN is a node of the remote sensing data network in a spatial national data network system. BDPJN has the primary function of collecting, storing, distributing metadata and remote sensing data for Indonesia territory. Evaluation of data operation management is needed to guarantee the continuity of the remote sensing data service at BDPJN. It has to ensure that: the catalog can be accessed by users, the catalog is continuously updated with data stored in the BDPJN storage system, and the data is available when needed. This research is purposed to evaluate data operation management on BDPJN. It is implemented by measuring the maturity level of data operations management activities using the CMMI and DMBOK frameworks. The results indicated that BDPJN has ten activities that have met an expected level of maturity. However, five of fifteen activities have below maturity level 3. Three activities at maturity level 1 are Monitor and Tune Database Performance, Plan for Data Retention, Archive, Retain, and Purge Data. The two others are Define the Data Technology Architecture and Evaluate Data Technology, which is at maturity level 2. Recommendations have been arranged based on references from DMBOK for these five activities.
KW - BDPJN
KW - CMMI
KW - Data Operations Management
KW - DMBOK
KW - Maturity Level
UR - http://www.scopus.com/inward/record.url?scp=85123244744&partnerID=8YFLogxK
U2 - 10.1109/CITSM52892.2021.9588888
DO - 10.1109/CITSM52892.2021.9588888
M3 - Conference contribution
AN - SCOPUS:85123244744
T3 - 2021 9th International Conference on Cyber and IT Service Management, CITSM 2021
BT - 2021 9th International Conference on Cyber and IT Service Management, CITSM 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 September 2021 through 23 September 2021
ER -