Article Sidebar

Submitted
December 14, 2019
Accepted
July 8, 2020
Published
September 21, 2020
Download
PDF (Bahasa Indonesia)
Statistic
Read Counter : 1555 Download : 1131

Downloads

Download data is not yet available.

Main Article Content

Abstract

The number of hotspots in West Kalimantan in 2018 was 1,075 hotspots. The highest hotspot in West Kalimantan is in Sanggau district which has 200 hotspots on August 15-16, 2018. This study aims to analyze the management model of land clearing without burning carried out by farmers in Sanggau District and determine the factors that have a tendency of farmers to choose the method cultivate land. The sampling method is a method of sampling the probability of 100 respondents calculated using the Slovin formula. Variable characteristics of farmers are age, education, farming experience, farmer knowledge and counseling. The analysis used is binary logistic regression analysis. Data collection was carried out through a questionnaire with direct interview techniques to farmers. The results showed that the factors that have the tendency of farmers to choose how to cultivate land are the age factor of farmers who have a significant value of 0.007 and the experience of farming that has a significant value of 0.034. This informs that the age variable is relatively high and relatively low farming experience has a tendency for farmers to choose how to cultivate land.

Article Details

License

Authors who publish with this journal agree with the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a  Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
  4. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
How to Cite
Noviyanti, R., Yurisinthae, E., & Suyatno, A. (2020). MODEL PENGELOLAAN PEMBUKAAN LAHAN TANPA BAKAR PADA USAHATANI PADI DIKABUPATEN SANGGAU. Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian Dan Agribisnis, 19(2), 289–300. https://doi.org/10.31186/jagrisep.19.2.289-300
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Abidin, A. 2016. Pendapatan Dan Faktor Yang Mempengaruhi Pemilihan Usahatani Padi Organik Di Desa Sundawenang,Tasikmalaya. skripsi, 45.
  2. Basuki, A. T. (-). Bahan Ajar Ekonometrika. Universitas Muhammadiyah Yogyakarta, 23.
  3. BMKG. 2018, Agustus 20. Jumlah Hotspot Dikalimantan Barat. Retrieved Mei 25, 2019, from BMKG :
  4. https://pontianak.tribunnews.com/2018/08/20/update-terbarujumlahhotspot-di-kalbar-ada-peningkatan
  5. BPS. 2015. Sanggau Dalam Angka. Sanggau: Badan Pusat Statistik (BPS) Sanggau.
  6. Era Indonesia. 2018, Agustus 20. Titik Api Di kalimantan Barat. Retrieved Mei 25, 2019, from Era Indonesia : https://www.era.id/read/p4U0pxmengapa-titik-api-di-kalimantan-barat-begitu-banyak
  7. Handayani, C. P. Kasimin, S. Fajri. 2019. Analisis Faktor-Faktor Yang Mempengaruhi Tingkat Partisipasi Dan Keberhasilan Program Asuransi Usaha Tani Padi (Autp) Di Kabupaten Aceh Besar. Jurnal AGRIFO, 4(1),11-12.
  8. Harlan, J. 2018. Analisis Regresi logistik. Depok: Gunadarma.
  9. Hayati, E. 2002. Analisis Regresi Logistik Untuk Mengetahui Faktor – Faktor Yang Mempengaruhi Frekuensi Kedatangan Pelanggan Di Pusat Perbelanjaan “X” . Journal UNISLA, 3-5.
  10. Hidayat, A. 2015, februari 25. Interprestasi Regresi Logistik dengan SPSS. Retrieved januari 25, 2020, from Statistikian :
  11. https://www.statistikian.com/2015/02/interprestasi-regresi-logistikdengan-spss.html
  12. Lemeshow, David W. Hosmer dan Stanley. 2000. Applied Logistic Regression. Canada : Simultaneously.
  13. Margono. 2004. Metodologi Penelitian Pendidikan. Jakarta: PT Rineka Cipta
  14. Nawawi, H. 1993. Metode Penelitian Sosial. Yogyakarta : Gajah Mada University Press.
  15. Pamungkas, E. T. 2017. Metode Regresi Logistik Biner Pada Faktor Yang Mempengaruhi Kesembuhan Pasien Penderita Demam Berdarah Dengue Di RSUD Dr. Iskak Kabupaten Tulung Agung. Skripsi, 53.
  16. Sholeh, A M. 2017. Model Regresi Logistik. -, 10.
  17. Sugiyono. 2017. Statistika Untuk Penelitian. Bandung: ALFABETA
  18. Tambunan, L. S. Fransisxo G. S. 2013. Kearifan Lokal Masyarakat Adat dalamPencegahan Kebakaran Hutan dan Lahan (Studi Kasus Masyarakat Adat Kasepuhan Ciptagelar Desa Sirnaresmi, Kecamatan Cisolok, Kabupaten Sukabumi Propinsi Jawa Barat). Silvikultur Tropika, 1.
  19. Varamita, A. 2017. Analisis Regresi Logistik Dan Aplikasinya Pada Penyakit Anemia Untuk Ibu Hamil Di Rskd Ibu Dan Anak Siti Fatimah Makassar.Skripsi, 69-70