Analysis of e-readiness on fish disease diagnosis applications and e-commerce applications to improve the competitiveness of the aquaculture sector in Indonesia
- DOI
- 10.2991/isessah-19.2019.32How to use a DOI?
- Keywords
- technology acceptance model, aquaculture, e-readiness, fish disease diagnosis, internet marketing
- Abstract
As a maritime country, Indonesia's fisheries and marine sector is the focus of the government to be developed. This sector has enormous potential. This can be seen from the GDP growth in the fisheries sector which is always above the national GDP and agriculture sector GDP, with a growth value of 6.79% until the third quarter of 2017. Ironically, this has no direct impact on the welfare of fishermen in Indonesia. Fish farmers and fishermen still face various obstacles in running their businesses. Based on the level of production, aquaculture has a very high production level, reaching more than 70% of the total national fisheries production. In order to improve the competitiveness of aquaculture products, optimal utilization of digital technology is needed from upstream to downstream. When fish farmers are able to guarantee that their products are of good quality free from disease pathogens and free antibiotics, this will be a good added value for farmers. Moreover, when they have the ability to reach market access through e-commerce applications, the welfare of fish farmers can become a reality. Although the existence of Information and Communication Technology (ICT) is known to be able to encourage the strategic role and competitiveness of businesses, its utilization among small businesses, especially fish farmers, is still relatively low. So this study aims to (1) Measure the readiness of fish farmers using upstream and downstream digital applications by measuring e-readiness index; (2) Analyzing the behavior of fish farmers on the acceptance and use of technology, and their impact on increasing the scale of business; and (3) Formulating an effective strategy for fish farmers based on mapping the existing conditions. As an initial portrait, the research was carried out in the West Java region. The analytical tool used in this study is descriptive analysis, Cluster analysis K-means, Structural Equation Modeling (SEM) and Analytical Hierarchy Process (AHP). The research hypothesis in general is that farmers who have a high level of e-readiness index category will be better at utilizing and using related digital applications. So in the end the optimal use of digital applications can increase business scale and competitiveness in the market
- 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 - Stevia Septiani AU - Dikky Indrawan AU - Wita Ermawati PY - 2019/12 DA - 2019/12 TI - Analysis of e-readiness on fish disease diagnosis applications and e-commerce applications to improve the competitiveness of the aquaculture sector in Indonesia BT - Proceedings of the Conference of the International Society for Economics and Social Sciences of Animal Health - South East Asia 2019 (ISESSAH-SEA 2019) PB - Atlantis Press SP - 15 EP - 17 SN - 2468-5739 UR - https://doi.org/10.2991/isessah-19.2019.32 DO - 10.2991/isessah-19.2019.32 ID - Septiani2019/12 ER -