Sectoral Statistic Data Integration

DOI

10.2991/assehr.k.201209.305How to use a DOI?

Keywords

Integration, Sectoral Statistic, Local Government

Abstract

Sectoral statistics is one of the product an institution work that can be used as a reference in development planning in local governments. In managing sectoral statistical data in the regions there are problems, one of which is often found differences in data and collection time which takes a long time so that the planning or evaluation of performance is hampered. With the presidential instruction number 03 of 2003 regarding e-government development policies and strategies, the government must be demanded to use information and communication technology as a reference in carrying out public services. Local governments in managing sectoral statistical data can use information technology in the process of collecting and analyzing large amounts of data quickly and accurately. Integration is an important step in the utilization of information technology in the process of data collection to avoid inputing data that requires a long time in data collection and analysis until the presentation of data from several institutions in the Regional Government. The government program on one Indonesian data is a breakthrough step in the history of data management in our country with the issuance of presidential regulation number 39 of 2019 about Satu Data Indonesia, with the existence of the presidential regulation it is necessary to prepare data management resources so that the data can be used as a basis of the right planning development and useful for the community.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kuat Herry Isnanto
PY  - 2020
DA  - 2020/12/14
TI  - Sectoral Statistic Data Integration
BT  - Proceedings of the 2nd International Conference of Law, Government and Social Justice (ICOLGAS 2020)
PB  - Atlantis Press
SP  - 321
EP  - 326
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201209.305
DO  - 10.2991/assehr.k.201209.305
ID  - Isnanto2020
ER  -