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Analisis Produksi, Distribusi Pendapatan Petani dan Dampak Program Optimalisasi Lahan Terhadap Produksi Padi Sawah di Kabupaten Muaro Jambi

Jurnal Perspektif Pembiayaan dan Pembangunan Daerah · Vol. 2 No. 1 (2014) · hlm. 51–61

DOI
10.22437/ppd.v2i1.1883
ISSN
2355-8520, 2338-4603
Terbit
2014-11-19
Penerbit
Program Magister Ilmu Ekonomi Pascasarjana Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

The purposes of this study are; ( 1 ) How does the social and economic characteristics of rice farmers in Jambi Muaro; ( 2 ) What factors are affecting rice production in Muaro Jambi; ( 3 ) How is the impact of the land optimization program toward the increase of rice production in Muaro Jambi and ( 4 ) How is the income distribution of rice farmers in Muaro Jambi. The methodology of research used in this study is survey method using primary data and secondary data. Analysis tools used in this study are qualitative description and quantitative description using Cobb Douglas Production-Function Model, and the Gini Index Ratio. The findings in this study are; ( 1 ) The Average production per hectare of rice farmers in the study area during the growing season was below the average production of Muaro Jambi district. ( 2 ) Over-All Test ( F Test ) showed that the land variable, orea fertilizer, seeds, labor capital, farming experience and education level have influenced the rice production. While based on the partial test, it was showed that only the land area variable ( X1 ) and orea fertilizer ( x2 ) which significantly influence rice production while the amount of seed variable ( X3 ), labor ( X4 ), capital ( X5 ), experience ( D1 ), and formal education ( D2 ) had no significant effect on rice production in the research area ' ( 3 ) The land optimization has increased the income of the farmers' compared to pre-optimization condition, but the gini index ratio is higher as a result of the maximization of income to farmers who have more land which is proven by The Gini Index Ratio: 0.30 in pre-optimization and after optimization of land it raises to 0:32; ( 4 ) The Land-Optimization Program which has implemented by the Government Muaro Jambi has positive impact both on increasing rice production and the income of farmers.  Key words: Optimization of Land, Production Optimization, Gini Ratio

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  • Universitas Jambi
  • Tadulako University
  • Institut Teknologi Sepuluh Nopember
  • Universitas Muhammadiyah Jambi
  • Hasanuddin University
  • Politeknik Pembangunan Pertanian Gowa
  • Shandong University
  • Organisasi lain
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  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Hardiani HardianiUniversitas Jambi5
Amri AmirUniversitas Jambi4
Yulmardi YulmardiUniversitas Jambi3
Candra MustikaUniversitas Jambi3
M. Rachmad R.Universitas Jambi3
Arman DelisUniversitas Jambi3
Nurul Fiskia GamayantiTadulako University2
Adi BhaktiUniversitas Jambi2
Tona Aurora LubisUniversitas Jambi2
Rahma NurjanahUniversitas Jambi2
Ahdin GassaHasanuddin University2
Ramli RamliPoliteknik Pembangunan Pertanian Gowa2
Sesraria YuvandaUniversitas Muhammadiyah Jambi2
Muhammad SafriUniversitas Jambi2
Zulfanetti ZulfanettiUniversitas Jambi2
Amirullah Andi BramantyaInstitut Teknologi Sepuluh Nopember1
Bintang Satya PradiptaInstitut Teknologi Sepuluh Nopember1
Fadjryani FadjryaniTadulako University1
Nur'eni Nur'eniTadulako University1
Ainur AbdrazakovaShandong University1
Muhammad Rachmad RUniversitas Jambi1
Zamzami ZamzamiUniversitas Jambi1
Erna ListyaningsihUniversitas Malahayati1
Achmad Zainuddin MNUniversitas Budi Luhur1
Renaldy Dwi PutraUniversitas Raharja1
Syamsurijal TanUniversitas Jambi1
Fadly Elwa PUniversitas Jambi1
Hasan BasriInstitut Agama Islam Negeri Kendari1
Syaparuddin SyaparuddinUniversitas Jambi1
Rudi SyafUniversitas Jambi1
M. Syurya HidayatUniversitas Jambi1
Qorina NovitriAfiliasi tidak diketahui1
Muhammad Rofi AriansyahUniversitas Jambi1
Muhammad FikriUniversitas Jambi1
Andri DevitaUniversitas Jambi1
Yanti HeryantiSTIA YPPT Priatim Tasikmalaya1
Nopriansyah NopriansyahUniversitas Jambi1

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/JES/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Analisis Produksi, Distribusi Pendapatan Petani dan Dampak Program Optimalisasi Lahan Terhadap Produksi Padi Sawah di Kabupaten Muaro Jambi</dc:title>
	<dc:creator xml:lang="en">Junaidi, Junaidi</dc:creator>
	<dc:creator xml:lang="en">Zamzami, Zamzami</dc:creator>
	<dc:creator xml:lang="en">Achmad, Erni</dc:creator>
	<dc:description xml:lang="en">The purposes of this study are ; ( 1 ) How does the social and economic characteristics of rice farmers in Jambi Muaro ; ( 2 ) What factors are affecting rice production in Muaro Jambi; ( 3 ) How is the impact of the land optimization program toward the increase of rice production in Muaro Jambi and ( 4 ) How is the income distribution of rice farmers in Muaro Jambi. The methodology of research used in this study is survey method using primary data and secondary data . Analysis tools used in this study are qualitative description and quantitative description using Cobb Douglas Production-Function Model , and the Gini Index Ratio . The findings in this study are ; ( 1 ) The Average production per hectare of rice farmers in the study area during the growing season was below the average production of Muaro Jambi district . ( 2 ) Over-All Test ( F Test ) showed that the land variable, orea fertilizer , seeds, labor capital , farming experience and education level have  influenced the rice production . While based on the partial test, it was showed that only the land area variable ( X1 ) and orea fertilizer ( x2 ) which significantly influence rice production while the amount of seed variable ( X3 ) , labor ( X4 ) , capital ( X5 ) , experience ( D1 ) , and formal education ( D2 ) had no significant effect on rice production in the research area ' ( 3 ) The land optimization has increased the income of the farmers' compared to pre-optimization condition, but the gini index ratio is higher as a result of the maximization of income to farmers who have more land which is proven by The Gini Index Ratio: 0.30 in pre-optimization and after optimization of land it raises to 0:32 ; ( 4 ) The Land-Optimization Program which has implemented by the Government Muaro Jambi has positive impact both on increasing rice production and the income of farmers.   Key words : Optimization of Land , Production Optimization , Gini Ratio</dc:description>
	<dc:publisher xml:lang="en">Program Magister Ilmu Ekonomi  Pascasarjana Universitas Jambi</dc:publisher>
	<dc:date>2014-11-19</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/JES/article/view/1883</dc:identifier>
	<dc:identifier>10.22437/ppd.v2i1.1883</dc:identifier>
	<dc:source xml:lang="en">Jurnal Perspektif Pembiayaan dan Pembangunan Daerah; Vol. 2 No. 1 (2014): Jurnal Perspektif Pembiayaan dan Pembangunan Daerah; 51 - 61</dc:source>
	<dc:source>2355-8520</dc:source>
	<dc:source>2338-4603</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/JES/article/view/1883/6362</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2014 Junaidi Junaidi, Zamzami Zamzami, Erni Achmad</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>