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ANALISIS KONDISI KETERGANTUNGAN IMPOR BERAS DI INDONESIA Sahrul Paipan; Muhammad Abrar
Jurnal Perspektif Ekonomi Darussalam (Darussalam Journal of Economic Perspec Vol 6, No 2 (2020): Jurnal Perspektif Ekonomi Darussalam
Publisher : Program Studi Ekonomi Islam, Fakultas Ekonomi dan Bisnis - Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jped.v6i2.15000

Beras adalah salah satu dari komoditas pangan utama Indonesia. Pemenuhan kebutuhan beras merupakan tanggung jawab pemerintah, produksi beras Indonesia selalu lebih besar dibandingkan konsumsinya namun pemerintah selalu melakukan kebijakan impor beras, yang menyebabkan pemerintah terlalu bergantung pada kebijakan impor beras. Penelitian ini menggunakan metode deskriptif kuantitatif dan untuk menganalisis tingkat ketergantungan impor beras dengan menggunakan ISP, IDR dan SSR periode 1992-2017. Hasil penelitian menunjukkan tingkat ketergantungan impor beras di Indonesia yang ditunjukkan dengan nilai IDR rata-rata sebesar 3,5% pertahun, sedangkan nilai ISP indonesia rata-rata -0,9 pertahunnya yang mengindikasikan Indonesia berada pada tahap awal untuk produk beras sehingga daya saing produk beras Indonesia sangat lemah dan Indonesia merupakan negara pengimpor beras. Produksi beras Indonesia sudah cukup baik dilihat dari nilai SSR rata-rata sebesar 96,6% pertahun artinya hampir keseluruhan konsumsi beras di Indonesia dapat terpenuhi dengan produksi beras dalam negeri

PENGARUH TENAGA KERJA, TINGKAT PENDIDIKAN DAN BELANJA SEKTOR PERTANIAN TERHADAP PERTUMBUHAN DI SEKTOR PERTANIAN KABUPATEN ACEH BESAR Niswatul Khaira; Muhammad Abrar
Jurnal Perspektif Ekonomi Darussalam (Darussalam Journal of Economic Perspec Vol 7, No 2 (2021): Jurnal Perspektif Ekonomi Darussalam (in pressing)
Publisher : Program Studi Ekonomi Islam, Fakultas Ekonomi dan Bisnis - Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jped.v7i2.23417

The purpose of the study was to determine the effect of labor, education level, and agricultural spending on the growth of the agricultural sector in Aceh Besar District. The variables in this study are labor, education level, agricultural sector spending and agricultural sector growth. In this research, the authors used quantitative descriptive analysis method with secondary data obtained from the publication of BPS and the rector general of finance. Data analysis used multiple linear regression model using SPSS version 22 program.The results showed that the variables of labor (X1), education level (X2), capital expenditure (X3), and expenditures on goods and services had a significant negative effect. , while goods and services expenditure (X4), has a significant positive effect on the growth of the agricultural sector, and the results of multiple regression analysis, it can be concluded that simultaneously all independent variables have a significant effect on the growth of the agricultural sector in Aceh Besar District.Keywords: employment, education level, government spending, economic growth.AbstrakPenelitian ini bertujuan untuk mengetahui pengaruh tenaga kerja, tingkat pendidikan, dan belanja sektor pertanian terhadap pertumbuhan sektor pertanian di Kabupaten Aceh Besar. Variabel dalam penelitian ini adalah tenaga kerja, tingkat pendidikan, belanja sektor pertanian dan pertumbuhan sektor pertanian. Pada peneltian ini, penulis menggunakan metode analisis deskriptif kuantitatif, dengan data sekunder yang diperoleh dari publikasi BPS dan rektorat jenderal keuangan. Analisis data menggunakan metode model regresi linear berganda (multiple linear regression) dengan menggunakan program SPSS versi 22. Hasil penelitian menunjukkan bahwa variabel tenaga kerja (X1), tingkat pendidikan (X2), belanja modal (X3), dan belanja barang jasa berpengaruh negatif signifikan, sedangkan belanja barang dan jasa (X4), berpengaruh positif signifikan terhadap pertumbuhan sektor pertanian, dan hasil analisis regresi berganda maka dapat disimpulkan bahwa secara simultan seluruh variabel independen berpengaruh signifikan terhadap pertumbuhan sektor pertanian di Kabupaten Aceh Besar.

Determinan Ketergantungan Impor Beras di Indonesia [Determinants of Rice Import Dependency in Indonesia] Sahrul Paipan; Muhammad Abrar
Jurnal Ekonomi & Kebijakan Publik Vol 11, No 1 (2020)
Publisher : Pusat Penelitian, Badan Keahlian DPR RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22212/jekp.v11i1.1443

Rice is the staple food for most Indonesian people, but the government tends to import rice to meet their excess demand. This study aims to analyze the determinants of rice import dependence in the Indonesia period 1992-2017. ECM Model is applied to reveal the effects between independent variables on rice imports short-term and the long-term. Secondary data is sourced from the World Bank, FAO, and BPS. The research results show that in the long run the rice production does not influence rice imports, but it is significant and positive in the short term. Rice consumption, rupiah appreciation, foreign exchange reserves, and domestic rice prices influence rice imports positively and significantly in the long and short term. Meanwhile, GDP influences rice imports negatively and relative prices do not significantly influence rice imports in the long run and also short run. Imports of rice are caused by the lack of maximum rice absorption by The Indonesian Logistic Bureau (Bulog) and increasing rice consumption. The government should absorb the surplus of farmer’s rice by establishing direct cooperation between the government and farmers. The community can support the food diversification policy with various food and nutritious food.Keywords: rice, import, consumption, production, ECMAbstrakBeras merupakan kebutuhan pokok utama bagi penduduk Indonesia, namun pemerintah cenderung mencukupi kelebihan kebutuhan permintaan beras dengan impor. Penelitian ini bertujuan untuk menganalisis determinan ketergantungan impor beras di Indonesia periode tahun 1992-2017. Model ECM digunakan untuk menjawab tujuan tersebut, baik melihat pengaruhnya dalam jangka pendek maupun jangka panjang antara variabel bebas terhadap impor beras. Data sekunder bersumber dari World Bank, FAO dan BPS. Hasil penelitian menunjukkan dalam jangka panjang produksi beras tidak memengaruhi impor beras, namun dalam jangka pendek menjadi signifikan dan positif. Konsumsi beras, apresiasi rupiah, cadangan devisa, dan harga beras domestik berhubungan positif dan signifikan memengaruhi impor beras dalam jangka panjang maupun jangka pendek. Di sisi lain, PDB memengaruhi impor beras dan harga relatif tidak signifikan memengaruhi impor beras, baik dalam jangka jangka pendek maupun panjang. Impor beras terjadi disebabkan karena kurang maksimal Bulog menyerap beras petani dan meningkatnya konsumsi beras. Pemerintah diharapkan mampu menyerap surplus beras yang dimiliki petani dengan menjalin kerja sama langsung. Sementara itu, masyarakat juga diharapkan mendukung kebijakan diversifikasi pangan dengan mengkonsumsi aneka ragam pangan dan pangan bergizi.Kata kunci: beras impor, konsumsi, produksi, ECM

The Effect of the Agriculture Sector on Poverty in Aceh Province Ridho Fatwa; Srinita Srinita; Muhammad Abrar
International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i2.275

This study aims to analyze the influence of the agricultural sector on poverty in Aceh Province. In this study, the variables used in influencing the poverty level in Aceh Province are the share of Gross domestic product (GDP) in the agricultural sector, labor in the agricultural sector, agricultural land, Farmer Education and Gross Regional Domestic Product (GRDP) per capita. The regression model used in this study is the method of multiple linear regression analysis (ordinary least squares regression analysis) using panel data and a fixed effect approach (fixed effect model) to determine the effect between variables. The results of this study are based on a simultaneous test (Test F) which shows that overall, the independent variables (share of GDP in the agricultural sector, labor in the agricultural sector, agricultural land, Farmer Education and GRDP per capita together show their effect on the poverty level. The results of the study based on a partial test (t test) showed that the share of the agricultural sector GRDP and the GDP per capita variable had a negative and significant effect on poverty and agricultural sector labor had a positive and significant effect on poverty, while the variables of agricultural land and farmer education negative effect, but not significant. The value of Adjusted R-squared in this study is 0.868629. This shows that the 86.86 percent change in the dependent variable, namely the Poverty of Aceh Province, can be explained by the independent variable, namely Share of Agricultural GRDP, Agricultural Manpower, Agricultural Land, Farmer Education and Per Capita GRDP. While the remaining 13.14% is explained by other factors outside the model.

The Effect of the Agriculture Sector on Poverty in Aceh Province Ridho Fatwa; Srinita Srinita; Muhammad Abrar
International Journal of Quantitative Research and Modeling Vol. 3 No. 2 (2022): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i2.275

This study aims to analyze the influence of the agricultural sector on poverty in Aceh Province. In this study, the variables used in influencing the poverty level in Aceh Province are the share of Gross domestic product (GDP) in the agricultural sector, labor in the agricultural sector, agricultural land, Farmer Education and Gross Regional Domestic Product (GRDP) per capita. The regression model used in this study is the method of multiple linear regression analysis (ordinary least squares regression analysis) using panel data and a fixed effect approach (fixed effect model) to determine the effect between variables. The results of this study are based on a simultaneous test (Test F) which shows that overall, the independent variables (share of GDP in the agricultural sector, labor in the agricultural sector, agricultural land, Farmer Education and GRDP per capita together show their effect on the poverty level. The results of the study based on a partial test (t test) showed that the share of the agricultural sector GRDP and the GDP per capita variable had a negative and significant effect on poverty and agricultural sector labor had a positive and significant effect on poverty, while the variables of agricultural land and farmer education negative effect, but not significant. The value of Adjusted R-squared in this study is 0.868629. This shows that the 86.86 percent change in the dependent variable, namely the Poverty of Aceh Province, can be explained by the independent variable, namely Share of Agricultural GRDP, Agricultural Manpower, Agricultural Land, Farmer Education and Per Capita GRDP. While the remaining 13.14% is explained by other factors outside the model.

Dissemination of Appropriate Technology for Integrated Areca Nut Peeling Machines to Support the Economic Improvement of Farmer Partners in Kayee Lee Village, Ingin Jaya District, Aceh Besar Ramayanty Bulan; Ratna; Muhammad Abrar; Muhammad Rizal; Darwin
Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v7i1.2940

Purpose: The purpose of this community service activity is to disseminate appropriate technology for areca nut peeling machines in Aceh Besar Regency. Method: In this product-based community service activity, the community service team offered several methods to meet the quality standard for areca nut (betel nut). The methods used in this community service activity include (i) a design method for manufacturing a betel nut peeling machine and (ii) a dissemination method to introduce the betel nut peeling machine to partners. Practical Applications: With this disseminated technology, dried areca nuts can be peeled in a shorter time and at a relatively higher capacity (50 kg per hour). Furthermore, the areca nuts peeled by this machine are relatively uniform in shape, improving the quality of the areca nuts ready for sale. Some other benefits that partners will experience with this disseminated technology include: (1) efficient time and labor required for the areca nut peeling process, (2) reduced risk of workplace accidents. Conclusion: This product-based community service has generated some benefits to the community and partners, in which the areca nut peeling machine can help boost the economy. By introducing this machine, the risk of workplace accidents can be avoided, and the production of betel nut can be improved.

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