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Faktor-Faktor Mempengaruhi Ketimpangan Wilayah di Provinsi Jawa Timur, Indonesia Fitrah Sari Islami; Nugroho SBM
Media Ekonomi dan Manajemen Vol 33, No 1 (2018): Upaya Peningkatan Layanan Publik dalam Pencapaian Kesejahteraan Masyarakat dan
Publisher : Fakultas Ekonomika dan Bisnis UNTAG Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.748 KB) | DOI: 10.24856/mem.v33i1.564

Abstract

AbstrakKetimpangan wilayah merupakan salah satu masalah yang umum terjadi di Negara sedang berkembang termasuk di Indonesia. Jawa Timur merupakan provinsi yang nilai ketimpangannya cukup tinggi jika dibandingkan dengan provinsi lain yang berada di Pulau Jawa. Penelitian ini bertujuan untuk 1) mengetahui keadaan ketimpangan di Provinsi Jawa Timur 2) mengetahui faktor-faktor yang mempengaruhi ketimpangan wilayah di Provinsi Jawa Timur.Penelitian ini menggunakan 1) Indeks Williamson untuk mengukur ketimpangan wilayah, 2) Analisis regresi linear berganda (Ordinary Least Square) dengan waktu penelitian tahun 2001-2015. Penelitian ini menggunakan software Eviews 9.Hasil Penelitian menunjukkan bahwa tingkat ketimpangan wilayah di Provinsi Jawa Timur cenderung meningkat dengan nilai indeks Williamson lebih dari 1. Hasil analisis regresi linear berganda dalam penelitian ini ada tiga variabel yang hasilnya signifikan (α=5%) dan berpengaruh terhadap ketimpangan wilayah yaitu variabel investasi, angkatan kerja dan IPM serta dua variabel yang tidak signifikan yaitu variabel pertumbuhan ekonomi, pengeluaran pemerintah. Kata Kunci: Ketimpangan Wilayah, Indeks Williamson, Jawa Timur AbstractRegional inequalities are one of the most common issues in developing countries including in Indonesia. East Java is the pro vince with the quiet high  inequalities value compared to the other provinces in Java Island. This study aims to: 1) to calculate the inequality value in East Java Province, 2) to classify the regions in East Java Province using Klassen Typology, 3) to determine factors that affect inequalities value in East Java Province.The methods used in this study were 1) Williamson Index to calculate the inequalities values, 2) Multiple linear regression analysis (Ordinary Least Square) during 2001 – 2015 using Eviews 9 software.The result of the study showed that the level of regional inequalities in East Java Province tends to increase with the Williamson index value more than 1. The result of  multiple linear regression analysis, the variable of  investment, labor forced and HDI were resulted to significant and it affect to the regional inequalities, meanwhile the variable of economic growth, and government expenditure were insignificant.Keyword: inequalities, Williamson Index, Klassen Typology, East Java
Analysis of determinants of coffee exports in Indonesia Fitrah Sari Islami; Panji Kusuma Prasetyanto; Aziz Dwi Setiawan
INOVASI Vol. 18 (Special Issue), 2022
Publisher : Faculty of Economics and Business Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (190.563 KB) | DOI: 10.29264/jinv.v18i0.11239

Abstract

Coffee is one of the plantation commodities that has an important role in economic activities in Indonesia. Coffee is also one of Indonesia's export commodities which is quite important as a foreign exchange earner in addition to the oil and gas sector. During 2005-2018 Indonesia's coffee exports always fluctuated every year. Therefore, there is a need for research on the factors that affect coffee exports. This study aims to analyze the effect of coffee production, plantation area and exchange rate on Indonesian coffee exports. The results show that: 1) During 2005-2018 the value of coffee exports increased by an average of 6% per year, Indonesian coffee production increased by an average of 1.2% annually, the area of coffee plantations decreased by an average of 0.1% annually and the price of the US Dollar increased by 3.1% annually; 2) Partially the variable of coffee production has a significant positive effect on coffee exports, the area of coffee plantations has a significant positive effect on coffee exports, and the exchange rate has a significant positive effect on coffee exports, while simultaneously the variables of the amount of production, the area of the plantation, and the exchange rate have an effect on coffee exports.