%0 Thesis
%9 Skripsi
%A Syauqi Rahman, NIM.: 16810080
%B FAKULTAS EKONOMI DAN BISNIS ISLAM
%D 2020
%F digilib:43890
%I UIN SUNAN KALIJAGA YOGYAKARTA
%K Volume Ekspor Teh, Autoregressive Distributed Lag (ARDL), Perdagangan  Internasional.
%P 136
%T DETERMINAN VOLUME EKSPOR TEH INDONESIA KE NEGARA TUJUAN EKSPOR TEH TERBESAR STUDI KASUS 1988-2018
%U https://digilib.uin-suka.ac.id/id/eprint/43890/
%X The countries with an open economic system in improving their domestic   economy require the involvement of other countries. One form of this involvement  is by conducting international trade. Exports are part of international trade.  Indonesian is one of the many countries that export to other countries. There are  many sectors that are leading Indonesian exports, one of which is the plantation  sector. Tea is one of the leading commodities. Since the time of the Dutch East  Indies, Indonesian tea has become a product that is much sought after by  countries in the world. So that in this study aims to determine the determinant of  the volume of Indonesian tea exports to the largest tea export destination country  case study 1988-2018.   In this research, the type of data used is secondary data time series. The  dependent variable is the Indonesian tea export volume, while the independent  variable is the total GDP per capita of the largest exporting country, the  exchange rate, international tea prices, land area and international coffee prices.  In this research, the method used is the Autoregressive Distributed Lag (ARDL)  model which aims to determine the dynamic relationship between the variables  research. The data in this study were obtained from various sources including the  World Bank, Indonesian Ministry of Agriculture, and UNComtrade.   The results of this study indicate that in the long term GDP per capita has  a significant effect on Malaysia and Pakistan, the exchange rate has a significant  effect on all countries, land area has a significant effect on all countries, and  coffee prices have an effect on Russia and Pakistan. Meanwhile, in the short term  GDP per capita affects Malaysia and Pakistan, the exchange rate affects the  country, land area affects Malaysia and Pakistan, and the price of coffee affects  Russia and Pakistan on the volume of Indonesian tea exports.
%Z Pembimbing : Achmad Nurdany, S.E.I., S.E., M.E.K.