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<![CDATA[APAKAH FAKTOR DEMOGRAFI MEMPENGARUHI PERTUMBUHAN EKONOMI INDONESIA? ]]>
<![CDATA[Eddy Gunawan]]>;
<![CDATA[Abd. Jamal]]>;
<![CDATA[Ibnu Abbas]]>
<![CDATA[ Jurnal Perspektif Ekonomi Darussalam (Darussalam Journal of Economic Perspec Vol 6, No 1 (2020): Jurnal Perspektif Ekonomi Darussalam ]]>
Publisher : <![CDATA[Program Studi Ekonomi Islam, Fakultas Ekonomi dan Bisnis - Universitas Syiah Kuala ]]>
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DOI: 10.24815/jped.v6i1.16161
<![CDATA[Penelitian ini bertujuan untuk menganalisis pengaruh jangka panjang dan jangka pendek variabel demografi terpilih terhadap pertumbuhan ekonomi Indonesia. Untuk menganalisis data digunakan pendekatan Metode Vector Error Correction Model (VECM). Analisis ini menggunakan data tahunan periode 1986-2015. Hasil penelitian yang diperoleh menunjukkan bahwa variabel demografi terpilih (laju pertumbuhan penduduk, kapadatan penduduk, tingkat partisipasi angkatan kerja, dan tingkat pengganguran terbuka) berpengaruh terhadap pertumbuhan ekonomi Indonesia selama kurun waktu pengamatan berkonstribusi positif dan siginifikan baik dalam jangka pendek maupun jangka panjang. Hasil analisis memberikan dukungan yang positif bagi pendapat aliran optimis yang menyatakan adanya hubungan antara penduduk dengan pertumbuhan dan pembangunan ekonomi. Karenanya diperlukan kebijakan pemerintah agar kondisi perekonomian dapat terjaga dengan mengendalikan laju pertumbuhan penduduk dan peningkatan penciptaan kesempatan kerja serta distribusi persebaran kepadatan penduduk yang lebih merata.]]>
<![CDATA[Faktor-Faktor yang Mempengaruhi Pemilihan Lokasi Perumahan di Kota Banda Aceh ]]>
<![CDATA[Harlini Putri]]>;
<![CDATA[Abd. Jamal]]>
<![CDATA[ Jurnal Ekonomi dan Kebijakan Publik Indonesia Vol 1, No 2 (2014): Mei 2014 ]]>
Publisher : <![CDATA[Syiah Kuala University ]]>
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<![CDATA[The objective of this study is to analyse factors that determine people’s decision on selection of housing location in or outside a complex. The study carried out in Banda Aceh used a logistic regression model. The results of the study showed that the independent variables, comfortability and buying price, were statiscally significant factors on community’s decision on housing selection. This might happen as people expect that the price of housing will increase in the future. Meanwhile, income and transportation cost were statistically not significant factors in housing selection. Based on the results, Banda Aceh Munipacility should participate in developing more comfortable compplex by providing security posts with personnels and by faciliting people to get easy access to home loan mortgage.]]>
<![CDATA[Geographical Economic Concentration, Growth and Decentralization: Empirical Evidence in Aceh, Indonesia ]]>
<![CDATA[Abd. Jamal]]>
<![CDATA[ Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Vol 18, No 2 (2017): JEP 2017 ]]>
Publisher : <![CDATA[Muhammadiyah University Press ]]>
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DOI: 10.23917/jep.v18i2.2786
<![CDATA[This study aims to analyze the geographical economic concentration (GEC) in Aceh Province. The Decomposition AGC Index and secondary data for the period 2001-2013 are used in the analysis. The results showed that the GEC in Aceh Province tend to decline about -7.09 percents a year. But, since 2011 the growth increased about 1.27 percent a year. It showed five phases of changes of GEC. When the Aceh Province was proliferated from 13 to 23 districts, economic growth was not driving factor for economic concentration, but as a driving for de-concentration. Government spending density is significant for economic concentration driver, both in the period 2001-2007, and 2008-2013. Government spending per capita is the driven factor for economic concentration during the period 2008-2013. As well in Aceh-13 (period 2001-2013). This suggests that direct government expenditure to be important in developing the center of economic growth in Aceh Province.]]>
<![CDATA[Indonesian Export Analysis: Autoregressive Distributed Lag (ARDL) Model Approach ]]>
<![CDATA[Syarifah Labibah]]>;
<![CDATA[Abd. Jamal]]>;
<![CDATA[Taufiq C. Dawood]]>
<![CDATA[ Journal of Economics, Business, & Accountancy Ventura Vol 23, No 3 (2020): December 2020 - March 2021 ]]>
Publisher : <![CDATA[Universitas Hayam Wuruk Perbanas ]]>
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DOI: 10.14414/jebav.v23i3.1668
<![CDATA[There are some factors predicted tohave an effect on the countries’ economic devlopment. This study aimed to analyze the long-term and short-term effects of In-flation, Exchange Rate, and Foreign Economic Growth (the destination of the United States, China, and Japan) on the Indonesian Export. The Auto-Regressive Distributed Lag (ARDL) Model is used in this analysis from 1968 through 2017. The results of the analysis show that in the long-term, the inflation and the economic growth in China as well in Japan has a positive sign and significant effect on Indonesian exports. In addition, in the short-term, the US exchange rate and economic growth have a positive significant effect on Indonesian exports.]]>
<![CDATA[ANALISIS DAYA SAING EKSPOR TEKSTIL DAN PRODUK TEKSTIL (TPT) INDONESIA MENUJU MASYARAKAT EKONOMI ASEAN (MEA) ]]>
<![CDATA[Novialita Devy]]>;
<![CDATA[Abd. Jamal]]>
<![CDATA[ Jurnal Ilmiah Mahasiswa Ekonomi Pembangunan Vol 2, No 1 (2017): Februari 2017 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis UNSYIAH ]]>
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DOI: 10.24815/jimekp.v2i1.2477
<![CDATA[This study aims to analyze the competitiveness of export textile and textile products (TTP) Indonesia towards the ASEAN Economic Community (AEC). The analysis model used is multiple linear regression model using time series data from 2006 until 2015. The results showed that the average level of export competitiveness TTP Indonesian is 1.96, which means the competitiveness of Indonesian textile exports have high competitiveness. Export competitiveness- related TTP Indonesia also have factors that affect on export the textile exports. 87 percent of variable rupiah exchange rates againts the United States dollar, technological readiness and Balance of Payment (BOP) effect on the competitiveness of Indonesian textile exports 2006-2015 period, while the remaining 13 percent influenced by other variables outside the model. Partially, variable rupiah exchange rate against the United States dollar and variable balance of payments is positive and significant effect against the Indonesian textile exports. Variable technological readiness is negative and significant effect against the Indonesian textile exports, when the variable market size was not measured because there are multicollinearity symptoms with a variable rupiah exchange rate against United States dollar. Penelitian ini bertujuan untuk menganalisis daya saing ekspor tekstil dan produk tekstil (TPT) Indonesia menuju masyarakat ekonomi ASEAN (MEA). Model analisis yang digunakan adalah model regresi linear berganda dengan menggunakan data time series tahun 2006 sampai tahun 2015. Hasil penelitian menunjukkan bahwa rata-rata tingkat daya saing ekspor TPT Indonesia adalah 1,96 yang berarti daya saing ekspor TPT Indonesia memiliki daya saing yang tinggi. Terkait dengan daya saing ekspor TPT Indonesia juga memiliki faktor-faktor yang mempengaruhi ekspor TPT tersebut. Sebesar 87 persen variabel Nilai Tukar Rupiah terhadap Dolar AS, Kesiapan Teknologi (technological readiness) dan Neraca Pembayaran (BOP) berpengaruh terhadap daya saing ekspor TPT Indonesia periode 2006-2015, sedangkan sisanya sebesar 13 persen dipengaruhi oleh variabel lain di luar model. Secara parsial, variabel nilai tukar rupiah terhadap dolar dan variabel neraca pembayaran berpengaruh positif dan signifikan terhadap ekspor TPT Indonesia. Variabel kesiapan teknologi berpengaruh negatif dan signifikan terhadap ekspor TPT Indonesia, sedangkan variabel ukuran pasar (market size) tidak diukur karena terdapat gejala multikolinearitas dengan variabel nilai tukar.]]>
<![CDATA[PROFIL URBAN KOTA BANDA ACEH ]]>
<![CDATA[Dimas Alifiansyah]]>;
<![CDATA[Abd. Jamal]]>
<![CDATA[ Jurnal Ilmiah Mahasiswa Ekonomi Pembangunan Vol 2, No 1 (2017): Februari 2017 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis UNSYIAH ]]>
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DOI: 10.24815/jimekp.v2i1.2455
<![CDATA[This study was conducted to analyze the profile of Banda Aceh through macro-economic variables and independent social research politik.Variabel are Inflation, Economic Growth, Population, Income, Social, cultural, and infrastructure. Urban as well as the dependent variable. The method used in this research is qualitative descriptive. The results showed that the independent variables are significantly positive effect on the dependent variable. With descriptive analysis proved that the similarity between Banda Aceh to some other cities both domestically and abroad. For further research is expected to be able to compare Profile Urban Banda Aceh with other regions. Penelitian ini dilakukan untuk menganalisis profil Kota Banda Aceh melalui variabel-variabel makro ekonomi dan sosial politik.Variabel independen penelitian ini adalah Inflasi, Pertumbuhan Ekonomi, Penduduk, Pendapatan, Sosial budaya, dan Infrastruktur. Serta urban merupakan variabel dependen. Metode yang digunakan pada penelitian ini adalah Deskriptif Kualitatif. Hasil penelitian menunjukkan bahwa variabel independen berpengaruh positif secara signifikan terhadap variabel dependen. Dengan analisis deskriptif terbukti bahwa adanya kesamaan antara Kota Banda Aceh dengan beberapa kota lain baik dalam negeri maupun luar negeri. Untuk penelitian selanjutnya diharapkan dapat membandingkan Profil Urban Kota Banda Aceh dengan daerah lain.]]>
<![CDATA[KONVERGENSI PERTUMUHAN EKONOMI ANTAR PROVINSI DI PULAU SUMATERA ]]>
<![CDATA[Zulfahmi Putra]]>;
<![CDATA[Abd. Jamal]]>
<![CDATA[ Jurnal Ilmiah Mahasiswa Ekonomi Pembangunan Vol 2, No 1 (2017): Februari 2017 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis UNSYIAH ]]>
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DOI: 10.24815/jimekp.v2i1.2448
<![CDATA[The purpose of this study was for determine the level of convergence of economic growth in the island of Sumatra in 2003 up to 2013. The data used is secondary data obtained from the Central Bureau of Statistics. The analysis used in this study is Ordinary Least Square (OLS), Fxed Effect Model and Random Effect Model. All three models are used to see the level of beta convergence in Sumatra. Hausman Test results showed that in this peneilitian more suitable model is the fixed effect model and random effect model. Based on estimates of beta convergence, both pertumuhan the GDP per capita and the GDP shows the level of convergence occurring no greater than ( 0). This means that the growth of GDP per capita and the GDP among the provinces in Sumatra Island Tend diverges. While the results show the GDP per capita converges sigma and the GDP has increased from year to year with the numbers 18 584 and the deviation of 45.22. Tujuan dari penelitian ini adalah unuk mengetahui tingkat konvergensi pertumbuhan ekonomi di Pulau Sumatera Tahun 2003 sampai dengan 2013. Data yang digunakan ialah data sekunder yang bersumber dari Badan Pusat Statistik. Analisis yang digunakan dalam penelitian ini adalah Ordinary Least Square (OLS), Fxed Effect Model, dan Random Effect Model. Ketiga model tersebut digunakan untuk melihat tingkat beta konvergensi di Pulau Sumatera. Hasil Uji Hausman menunjukkan bahwa dalam peneilitian ini model yang lebih cocok digunakan adalah fixed effect model dan Random effect model.. Berdasarkan hasil estimasi beta konvergen, baik pertumuhan PDRB Perkapita maupun PDRB menunjukkan tingkat konvergensi yang terjadi lebih besar dari no (0). Hal ini berarti bahwa pertumbuhan PDRB perkapita dan PDRB antar provinsi di Pulau Sumatera Cenderung divergen. Sedangkan hasil sigma konvergen menunjukkan PDRB Perkapita dan PDRB mengalami peningkatan dari tahun ke tahun dengan angka deviasi sebesar 18.584 dan 45,22.]]>
<![CDATA[DISPARITAS PEMBANGUNAN EKONOMI DI INDONESIA ]]>
<![CDATA[Afif Zainuri]]>;
<![CDATA[Abd. Jamal]]>
<![CDATA[ Jurnal Ilmiah Mahasiswa Ekonomi Pembangunan Vol 2, No 1 (2017): Februari 2017 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis UNSYIAH ]]>
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DOI: 10.24815/jimekp.v2i1.2442
<![CDATA[The Purpose of this Research is to know the imbalance that happened in Indonesia with the use of some variables. Independent variable in this research is GDRP Per capita, HDI, Proverty, unemployment Rate, and Average duration of Schooling, and Growth of Economy which is dependent variable. This analysis use model of Conditional Beta Convergence and Sigma Convergen. Result of this research expose that independent variable which is GDRP Per capita is divergences, HDI also is divergences but it convergences when it comes to proverty, also with average duration of schooling is convergences and unemployment rate is also convergences. By this research government expected to decrease the imbalance by gives more attention to disadvantages of some areas. Penelitian ini dilakukan untuk mengetahui suatu ketimpangan yang terjadi di Indonesia dengan independen yaitu PDRB Perkapita terjadi divergensi, Indeks Pembangunan Manusia terjadi divergensi, Kemiskinan terjadi konvergensi, Tingkat Pengangguran Terbuka terjadi konvergensi dan Rata-rata Lama Sekolah terjadi konvergensi. Berdasarkan penelitian ini pemerintah pusat diharapkan mampu mengurangi ketimpangan dengan memberikan perhatian lebih kepada daerah-daerah tertinggal. menggunakan beberapa variabel. Variabel independen penelitian ini adalah PDRB Perkapita, Indeks Pembangunan Manusia, Kemiskinan, Tingkat Pengangguran Terbuka dan Rata-rata Lama Sekolah, serta Pembangunan Ekonomi sebagai variabel dependen. Model analisis menggunakan Conditional Beta Covergence dan Sigma Convergen . Hasil penelitian menunjukkan bahwa variabe.]]>
<![CDATA[Socio-Economic And Divorce in Aceh Province ]]>
<![CDATA[Afzal Afzal]]>;
<![CDATA[Abd Jamal]]>;
<![CDATA[Muhammad Nasir]]>
<![CDATA[ MIMBAR (Jurnal Sosial dan Pembangunan) Volume 35, No. 2, Year 2019 [Accredited Sinta 2] No 10/E/KPT/2019] ]]>
Publisher : <![CDATA[Universitas Islam Bandung ]]>
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DOI: 10.29313/mimbar.v35i2.5021
<![CDATA[Socio-economic factors are always the benchmark of domestic life. There is an assumption that a household disharmony is caused by economic issues referred to as the highest number of divorce cases registered at Mahkamah Shari’a (Shari’s Court) of Aceh. This research is very important since Aceh is a special region in terms of religion and culture so that the number of divorces would not be this much and it is hoped that the government will issue a regulation that can reduce the number of divorces. The research data are obtained from BPS (the Central Bureau of Statistics) of Aceh Province and the Sharia Court of Aceh which then analyzed using descriptive quantitative methods. The results indicate that recur of friction (in a household) is the major cause of divorce in Aceh followed by the economic factor and domestic violence. The level of individuals’ education shows a significant influence on divorce along with the age when they first married, but children variable affected insignificantly. However, not all research in the same field has the same results as this study.]]>
<![CDATA[Analysis of Economic Growth Core and Periphery: Evidence from Aceh Province, Indonesia ]]>
<![CDATA[Risnasari Risnasari]]>;
<![CDATA[Abd. Jamal]]>;
<![CDATA[Sofyan Syahnur]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i2.277
<![CDATA[This research is to determine factors that influenced Gross Regional Development Product (GRDP) Banda Aceh and Lhokseumawe city in context relationship between core and periphery using panel data regression of 23 districts/cities in Aceh Province, Indonesia year 2010-2020. Selected independent variables in this paper are GRDP core and periphery, population, distance between core and periphery, availability of hospital, availability of university and availability of industry. Based on estimation results, all independent variabels have significant effect toward GRDP Banda Aceh and Lhokseumawe city. Variabels that found have positive effect toward GRDP Banda Aceh city are GRDP core and periphery, and distance between core and periphery. Variabels that found have negative effect toward GRDP core Banda Aceh city are population, availability of hospital, availability of university and availability of industry. Then, variabels that found have positive effect toward GRDP Lhokseumawe city are GRDP core and periphery, distance between core and periphery, and availability of university. Variabels that found have negative effect toward GRDP core Lhokseumawe city are population, availability of hospital, and availability of industry. It is hoped that this findings will provide useful information for policymakers in attempt to enhance the competitiveness of regional economy.]]>
