E3S Web Conf.
Volume 339, 2022The 10th International Conference on Multidisciplinary Research (ICMR) in conjunction with The 2nd International and National Symposium on Aquatic Environment and Fisheries (INSAEF) 2021
|Number of page(s)||5|
|Section||Studies of Local Interest and Importance to the Region|
|Published online||24 January 2022|
Determination of superior agriculture commodities in North Sumatra Province
1 Universitas Islam Sumatera Utara, Agribusiness Department, 20223, Medan, North Sumatra, Indonesia.
2 STIE Graha Kirana, Management Department, 20223, Medan, North Sumatra, Indonesia.
* Corresponding author: email@example.com
This study aims to determine the contribution of the agriculture sector in the economy in North Sumatra Province and to find out the superior agriculture commodities. The data used in this study is secondary data, namely data on the production of various agricultural commodities in North Sumatra Province and Indonesia for the period 2019-2020. Quantitative description analysis in the form of contribution analysis and growth analysis is used to determine the contribution of the agricultural sector in the economy in North Sumatra Province in 2016-2020. Static Location Quotient (SLQ) and Dynamic Location Quotient (DLQ) analyses are used to analyze superior agricultural commodities. The results show that the contribution of the agricultural sector has decreased to the economy in North Sumatra Province in the 2016-2020 period. The results of the SLQ and DLQ analyses show that the superior agricultural commodities that are cross-sub-sectoral are Red Chili, Cabbage, Tomato, Eggplant, Durian, Salak, Rubber, and Fisheries. The superior agricultural commodities come from the Horticulture Sub-sector, Plantation Sub-sector, and Fisheries Sub-sector. Meanwhile, commodities originating from the Food crop Sub-sector and Livestock Sub-sector did not contribute to the creation of superior agriculture commodities in North Sumatra Province in 2019-2020.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.