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Framework for Prioritizing Solutions in Overcoming Data Quality Problems Using Analytic Hierarchy Process (AHP) | ||
| Journal of Information Technology Management | ||
| مقاله 3، دوره 10، شماره 4، 2018، صفحه 27-40 اصل مقاله (848.56 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jitm.2019.274888.2333 | ||
| نویسندگان | ||
| Imelda Doharta Aritonang1؛ Achmad Nizar Nizar Hidayanto2؛ Nur Fitriah Ayuning Budi* 3؛ Rahmat M. Samik Ibrahim3؛ Solikin Solikin4 | ||
| 1Department of Information System, Faculty of Computer Science, Universitas Indonesia, Depok, West Java. | ||
| 2Prof., Department of Information System, Faculty of Computer Science, Universitas Indonesia, Depok, West Java. | ||
| 3MSc., Department of Information System, Faculty of Computer Science, Universitas Indonesia, Depok, West Java. | ||
| 4MSc., STMIK BIna Insani, Bekasi, Jawa Barat. | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Data quality؛ Analytical Hierarchy process؛ AHP؛ Central Statistics Agency the Republic of Indonesia | ||
| مراجع | ||
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