Open access Jurnal
Analysis of the Effect of the Makmur Programme on Increasing Rice Farming Production
Analisis Pengaruh Program Makmur Terhadap Peningkatan Produksi Usahatani Padi
Jurnal Sosial Ekonomi Pertanian · Vol. 20 No. 1 (2023) · pp. 35–50
- ISSN
- 2598-5922, 0853-8395
- Published
- 2023-12-19
- Publisher
- Hasanuddin University
- Language
- en
Abstract
English
Rice is the basic food product consumed by every Indonesian citizen. Tempuran and Pedes sub-districts are the areas that contribute to the highest rice production in Karawang Regency. The instability of rice production in Karawang Regency is due to problems such as the narrowing land area due to land conversion, limited use of subsidized fertilizers, and expensive pesticide prices. The Makmur programme is one form of effort to overcome rice production problems. This study aims to analyze the effect of land area, seeds, fertilizers, pesticides, labour, machinery, and the Makmur program dummy on rice production. The research method used in this research is the descriptive quantitative method. The data collection method was carried out by interviewing and observing all participants of the Makmur programme. The data were processed using IBM SPSS 26 and analyzed using the multiple regression analysis method with cobb-douglas production function. The results showed that: the production of all variables had a significant effect, and partially the variables in the regression calculation before the Makmur program, namely the variable labour (lnX5) and machine power (lnX6) had a significant effect on rice production (Y). In the regression calculation after the Makmur program all variables, namely land area, (lnX1), seeds (lnX2), fertilizer (lnX3), pesticides (lnX4), labour (lnX5) and engine power (lnX6), do not have a significant effect on rice paddy production (lnY). In the regression calculation with the Makmur program dummy, namely pesticides (lnX4) and labour (lnX5) have a significant influence on the dependent variable or rice paddy production (lnY).
Bahasa Indonesia
Padi merupakan produk pangan dasar penduduk di Indonesia yang dikonsumsi setiap. Kecamatan Tempuran dan kecamatan pedes menjadi daerah yang berkontribusi terhadap hasil produksi padi terbanyak di Kabupaten Karawang. Ketidakstabilan produksi padi di Kabupaten Karawang disebabkan permasalahan seperti luas lahan yang menyempit adanya alih fungsi lahan, penggunaan pupuk subsidi yang dibatasi, harga pestisida yang mahal. Program Makmur merupakan salah satu bentuk upaya untuk mengatasi permasalahan produksi padi. Penelitian ini bertujuan untuk menganalisis pengaruh luas lahan, benih, pupuk, pestisida, tenaga kerja, tenaga mesin, dan dummy program Makmur terhadap produksi padi. Metode penelitian yang digunakan dalam penelitian ini yaitu metode kuantitatif deskriptif. Metode pengumpulan data dilakukan dengan cara wawancara dan pengamatan pada seluruh peserta program Makmur. Data diolah menggunakan IBM SPSS 26 dan dianalisis menggunakan metode analisis regresi berganda dengan fungsi produksi cobb-douglas. Hasil penelitian menunjukkan bahwa: terhadap produksi seluruh variabel berpengaruh signifikan, dan secara parsial variabel pada perhitungan regresi sebelum program Makmur yaitu variabel tenaga kerja (lnX5) dan tenaga mesin (lnX6) berpengaruh signifikan terhadap produksi padi (Y). Pada perhitungan regresi sesudah program Makmur seluruh variabel yaitu luas lahan, (lnX1), benih (lnX2), pupuk (lnX3), pestisida (lnX4), tenaga kerja (lnX5) dan tenaga mesin (lnX6), tidak memiliki pengaruh signifikan terhadap terhadap Produksi padi (lnY). Pada perhitungan regresi dengan dummy program Makmur yaitu pestisida (lnX4) dan tenaga kerja (lnX5) memiliki pengaruh signifikan terhadap variabel dependent atau terhadap produksi padi (lnY).
Keywords
Collaboration network of the authors
16 authors · 50 co-authorship links
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- Universitas Jambi
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Evo Afrianto | Affiliation unknown | 1 |
| Setiono Setiono | Affiliation unknown | 1 |
| Asminar Asminar | Affiliation unknown | 1 |
| Akhyarnis Febrialdi | Affiliation unknown | 1 |
| Asrial Asrial | Universitas Jambi | 1 |
| Nazarudin Nazarudin | Affiliation unknown | 1 |
| Leny Marlinda | Affiliation unknown | 1 |
| Dedi Gusriadi | Affiliation unknown | 1 |
| Zunarta Yani | Affiliation unknown | 1 |
| Edy Panda | Affiliation unknown | 1 |
| Rizky Kanto | Affiliation unknown | 1 |
| Ulyarti Ulyarti | Affiliation unknown | 1 |
| Riski Amellia | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.