Apip Supriadi
Universitas Siliwangi

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Strategi Peningkatan Daya Saing Kerajinan Bordir Melalui Pendekatan Analytical Hierarchy Process di Kota Tasikmalaya Apip Supriadi; Gusti Tia Ardiani; Andi Rustandi
Jurnal Ekonomi Kuantitatif Terapan 2019: Vol. 12, No.2, Agustus 2019 (pp. 111-247)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (951.552 KB) | DOI: 10.24843/JEKT.2019.v12.i02.p07

Abstract

The purpose of this research is i) to analyze the competitiveness of Tasikmalaya City embroidery and ii) to formulate a strategy to increase the competitiveness of embroidery craft in Tasikmalaya City. While the target findings in this study is to find a strategy formulation in an effort to improve the competitiveness of embroidery craft Tasikmalaya City. Approach for the preparation of competitiveness strategy of Tasikmalaya City embroidery craft is multi criteria analysis (MCA = Multi Criteria Analysis) with analytical hierarchy process (AHP) method, using expertchoice for windows software, where stakeholders' perceptions become the handles in decision making and priority in the preparation Strategy of competitiveness of embroidery craft. The results of this study indicate that the strategy to increase the competitiveness of bordir craft in Tasikmalaya City is an optimistic strategy.
MIDDLE INCOME TRAP DALAM PERSPEKTIF MAKROEKONOMI : STUDI KASUS DI INDOENSIA Apip Supriadi
Jurnal Ekonomi Kuantitatif Terapan 2022: Vol. 15, No. 1, Februari 2022 (pp.1-161)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEKT.2022.v15.i01.p06

Abstract

The purpose of this study is to determine and analyze i) the condition of per capita income in Indonesia seen from the criteria of the Middle income trap and ii) the influence of exports, foreign investment and population, either partially or jointly on per capita income. The data used is secondary data for the period 1991 – 2000, with the analysis tool using multiple regression analysis. The results showed that the development of per capita income was included in the lower-middle income category. Furthermore, foreign investment, population and exports have a significant effect on per capita income.