The Analysis of Inter-Island Trade Data Collection
- DOI
- 10.2991/icot-19.2019.32How to use a DOI?
- Keywords
- Inter-island Trade, Database, Trade
- Abstract
Inter-island trade data becomes one of the bases to formulate policy recommendations to maintain price stability and reduce price disparity across regions in Indonesia. However, inter-island trade data still not well recorded and managed. The purpose of this study is to measure the performance of the inter-island trade data collection process by Ministry of Trade and to identify problems of data collection. Important Performance Analysis (IPA) is utilized to measure the performance of inter-island trade data collection and Likert Scale is used for problems identification. The study found that in inter-island trade data collection terms of importance is at the level of 3,25. While in terms of performance is at the level of 4,35. It can be interpreted that the level of performance is better than the level of importance, so in other words the process of inter-islands data collection is relatively effective. Meanwhile, the main problem in inter-island trade data collection are the lack of coordination between Ministries/Agencies, the policy that has not been well socialized, and there is no comprehensive method of inter-island trade data collection. For this reason, coordination and synchronization and further agreement is needed to develop a comprehensive inter-island trade database, and creating method of data collection.
- Copyright
- © 2019, 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/).
Cite this article
TY - CONF AU - Dwi Wahyuniarti Prabowo AU - Aditya Priantomo PY - 2019/09 DA - 2019/09 TI - The Analysis of Inter-Island Trade Data Collection BT - Proceedings of the International Conference on Trade 2019 (ICOT 2019) PB - Atlantis Press SP - 151 EP - 154 SN - 2352-5428 UR - https://doi.org/10.2991/icot-19.2019.32 DO - 10.2991/icot-19.2019.32 ID - Prabowo2019/09 ER -