Yustirania Septiani
Tidar University

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DETERMINASI TINGKAT KEMISKINAN PROVINSI INDONESIA 2016-2020 Tasya Putri Indra Pranizty; Yustirania Septiani
EKOMBIS: JURNAL FAKULTAS EKONOMI Vol 7, No 2 (2021): November
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/ekombis.v7i2.3536

Abstract

The problem of poverty is a problem that is quite complex and every country has faced poverty, including Indonesia. The poverty level can be influenced by the TPT, dependency ratio, and education. The purpose of this research is to analyze how partially and simultaneously the influence of TPT, dependency ratio, and education (APS, APM, and APK in high school level) on provincial poverty levels in Indonesia 2016-2020. The data used is seconday data, in the form of time series (2016-2020) and cross section (34 provinces in Indonesia). The analytical tool used is panel regression analysis assisted by using Eviews 10. The results of this study indicate that the TPT has a positive and signigicant effect on the poverty level. The dependency ratio has a negative but insignificant effect on the poverty level. The education variable with the APS for high school education level has a positive and significant effect on the poverty level. The education variable with the proxy APM for high school education level has a positive and significant effect on the poverty level. And the education variable with the APK proxy for high school education level has a negative but insignificant effect on the poverty level. Simultaneously, open unemployment rate (TPT), dependency ratio, and education (APS, APM, and APK for high school education level) together influence the provincial poverty level in Indonesia in 2011-2020.
ANALISIS POTENSI WILAYAH DI KOTA SALATIGA STUDI KASUS TAHUN 2011-2019 yustirania septiani; Septi Widya Rani
JURNAL PENDIDIKAN EKONOMI: Jurnal Ilmiah Ilmu Pendidikan, Ilmu Ekonomi dan Ilmu Sosial Vol 15 No 2 (2021): SEPTEMBER 2021
Publisher : Economic Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jpe.v15i2.24596

Abstract

Kota Salatiga mempunyai visi menciptakan Kota Salatiga sebagai kunci aktivitas masyarakat yang memiliki kesanggupan untk ikut aktif dalam pembangunan yang dilandasi semangat untuk bisa memajukan potensi dan daya saing daerah. Penelitian ini berdul Analisis Potensi Wilayah Kota Salatiga Sudi Kasus tahun 2011-2019. Dengan tujuan akan mengamati sektor unggul yang memiliki potensi pada Kota Salatiga. Dengan mengenakan metode pendekatan analisis Location Quotient (LQ) yang terdiri dari SLQ dan DLQ serta Tipologi Klassen. Dapat diberi kesimpulan bahwa potensi ekonomi yang dimiliki Kota Salatiga merupakan sektor yang menggambarkan pertumbuhan sektor. Dilihat pada hasil penelitian di dapat bahwa ada perbedaan di potensi wilayah Kota Salatiga.
Indonesian Coffee Export Analysis to Germany From 1990 to 2019 Titis Rahayu Winingsih; Yustirania Septiani
AFEBI Economic and Finance Review Vol 7, No 1 (2022)
Publisher : Asosiasi Fakultas Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47312/aefr.v7i1.520

Abstract

Export is the activity of selling goods abroad, one of Indonesia's main export commodities is coffee. Germany is the highest coffee consuming country in the European region, this makes Germany a potential market for Indonesian exports. This study was conducted to determine the factors that affect the volume of Indonesian coffee exports to Germany using quantitative methods and secondary data types in the form of time series from 1990 to 2019. The data sources were obtained from the Directorate General of Plantation (Ditjebun), the Central Statistics Agency ( BPS), World Bank, International Coffee Organization (ICO). Multiple regression model with ECM approach was used to analyze the data. The results of this study indicate that in the long and short term coffee production, German GDP and world coffee prices have an insignificant negative effect on coffee export activities, but in the short term the coffee production variable has a positive and insignificant effect.
The ARIMA Box-Jenkins Method has been used to Predict the Price of Large Curly Red Chilis Yustirania Septiani; Vinca Ayu Setyowati
Gorontalo Development Review Volume 4 Nomor 2 Oktober 2021
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.334 KB) | DOI: 10.32662/golder.v0i0.1516

Abstract

Chili is one of the potential commodities based on market demand and high economic value. The price of chili has fluctuated every month so that this commodity contributes to inflation in food that can affect overall general inflation. Thus, an analysis of forecasting prices for large curly red chili is needed so thar people and farmers do not need to worry and can prepare for future risks. Price forecasting in this study uses the Box-Jenkins ARIMA method. The data used is the price of lare curly red chili prices from December 2015 to April 2020. The data to be analyzed is then made into several forms of the ARIMA model and one will be chosen as the best ARIMA model. Based on the results of the study, ARIMA (1,1,3) is the best model. Thus the forecast results obtained for the price of large curly red chili in Magelang City from May 2020 to February 2021. With this research it is expected ti be able to assist the Depasrtment of Industry and Trade of Magelang City in making decisions related to the price of lare curly red chilli which fluctuates every year.
Indonesian Coffee Export Analysis to Germany From 1990 to 2019 Titis Rahayu Winingsih; Yustirania Septiani
AFEBI Economic and Finance Review Vol. 7 No. 1 (2022)
Publisher : Asosiasi Fakultas Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47312/aefr.v7i1.520

Abstract

Export is the activity of selling goods abroad, one of Indonesia's main export commodities is coffee. Germany is the highest coffee consuming country in the European region, this makes Germany a potential market for Indonesian exports. This study was conducted to determine the factors that affect the volume of Indonesian coffee exports to Germany using quantitative methods and secondary data types in the form of time series from 1990 to 2019. The data sources were obtained from the Directorate General of Plantation (Ditjebun), the Central Statistics Agency ( BPS), World Bank, International Coffee Organization (ICO). Multiple regression model with ECM approach was used to analyze the data. The results of this study indicate that in the long and short term coffee production, German GDP and world coffee prices have an insignificant negative effect on coffee export activities, but in the short term the coffee production variable has a positive and insignificant effect.