Framework for prioritizing solutions in overcoming data quality problems using analytic hierarchy process (AHP)

Imelda Aritonang Doharta, Achmad Nizar Hidayanto, Nur Fitriah Ayuning Budi, Solikin Solikin, Rahmat Mustafa Samik Ibrahim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The Central Statistics Agency (BPS) is a government institution that has the authority to carry out statistical activities in the form of censuses and surveys, to produce statistical data needed by the government, the private sector and the general public, as a reference in planning, monitoring, and evaluation of development results. Therefore, providing quality statistical data is very decisive because it will have an impact on the effectiveness of decision making. This paper aims to develop a framework to determine priority of solutions in overcoming data quality problems using the Analytic Hierarchy Process (AHP). The framework is built by conducting interviews and Focus Group Discussion (FGD) on experts to get the interrelationship between problems and solutions. The model that has been built is then tested in a case study, namely the Central Jakarta Central Bureau of Statistics (BPS). The results of the study indicate that the proposed model can be used to formulate solutions to data problems in BPS.

Original languageEnglish
Pages (from-to)27-40
Number of pages14
JournalJournal of Information Technology Management
Volume10
Issue number4
DOIs
Publication statusPublished - 1 Jan 2019

Keywords

  • AHP
  • Analytical hierarchy process
  • Central Statistics Agency the Republic of Indonesia
  • Data quality

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