REGRESSION MODEL ON PAGARALAM COFFEE FARMERS’ INCOME WITH THE INFLUENCE OF THE USE OF HERBICIDE REDUCTANT VARIABLE
Abstract
The existence of weeds in coffee fields will become competitors for coffee plants, so that they can be economically and ecologically detrimental. Inappropriate use of chemical herbicides can have a negative impact. Herbicide reductants made from organic are used in weed control. This study aims to analyze the variables that affect the net income of Pagaralam coffee farmers using multiple linear regression analysis. One of these variables is a qualitative variable in the form of categories of respondents based on the use of herbicide reductants. The data used was obtained from the results of questionnaires on 56 respondents who are users and 80 respondents who are not users of herbicide reductants. The results of the hypothesis test of mean difference found that the net income of the two respondent categories is not different. The regression analysis also resulted that there was no significant difference in net income between the two respondent categories. Variables that had a significant effect on net income included gross income, farming maintenance costs, estimated yields, and tree age. Several models also contain variables of land area, length of time in coffee farming, number of trees, and frequency of organic fertilizers used. Old coffee trees should be treated better with the use of organic fertilizers and also wise weed control techniques.
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Indonesia Eximbank Institute (IIE) and UNIED, Proyeksi Ekspor Berdasarkan Industri: Komoditas Unggulan. Jakarta: Indonesia Eximbank, 2019.
Direktorat Jenderal Perkebunan (Ditjenbun), Statistik Perkebunan Indonesia Komoditas Kopi 2016-2018. Jakarta: Ditjenbun, Kementerian Pertanian, 2019.
E. Mustari, “Perbedaan...Membuka Peluang untuk Pengembangan Kopi Lebih Bermanfaat,” pada Webinar Pengurus Perkumpulan Enterprener Ganesha, 19 Juni 2021, Bandung, Indonesia, 2021.
Ngudiantoro, Irmeilyana, and M. N. Samsuri, “Binary Logistic Regression Modeling on Net Income of Pagar Alam Coffee Farmers,” Int. J. Appl. Sci. Smart Technol., vol. 2, no. 2, pp. 47–66, 2020.
Irmeilyana, Ngudiantoro, and D. Rodiah, “Correspondence Analysis pada Hubungan Faktor-faktor yang Mempengaruhi Pendapatan Petani Kopi Pagaralam,” BAREKENG J. Ilmu Mat. dan Terap., vol. 15, no. 1, pp. 179–192, 2021.
Y. Junaidi and M. Yamin, “Faktor-faktor yang mempengaruhi adopsi pola usahatani diversifikasi dan hubungannya dengan pendapatan usahatani kopi di Sumatera Selatan,” J. Pembang. Mns., vol. 4, no. 12, pp. 1–8, 2010.
S. Utami, Murningsih, and F. Muhammad, “Keanekaragaman dan Dominansi Jenis Tumbuhan Gulma Pada perkebunan Kopi di Hutan Wisata Nglimut Kendal Jawa Tengah,” J. Ilmu Lingkung., vol. 18, no. 2, pp. 411–416, 2020.
A. A. Prasetio and K. P. Wicaksono, “Efikasi tiga jenis herbisida pada pengendalian gulma di tanaman karet (Hevea brasiliensis Muel. Arg.) belum menghasilkan,” PLANTROPICA J. Agric. Sci., vol. 2, no. 2, pp. 100–107, 2017.
D. R. Sigalingging, D. R. Sembodo, and N. Sriyani, “Efikasi Herbisida Glifosat untuk Mengendalikan Gulma pada Pertanaman Kopi (Coffea canephora) Menghasilkan,” J. Agrotek Trop., vol. 2, no. 2, pp. 258–263, 2014.
TechnoServe, “Improving the Productivity and Sustainability of Smallholder Coffee Farmers in Guatemala (A Case Study of TechnoServe’s coffee project in Sololá, Chimaltenango, and Socatepéquez 2012 – 2017),” Washington, 2018.
I. Nzeyimana, A. E. Hartemink, and J. De Graaff, “Coffee farming and soil management in Rwanda,” Outlook Agric., no. March 2019, pp. 47–52, 2013.
K. Isaac and S. Gwali, “Productivity and profitability of robusta coffee agroforestry systems in central Uganda,” Uganda J. Agric. Sci., vol. 13, no. 1, pp. 85–93, 2012.
S. Thamrin, “Faktor-faktor yang mempengaruhi produksi usahatani kopi arabika di Kabupaten Enrekang Sulawesi Selatan,” AGRIC, vol. 26, no. 1–2, pp. 1–6, 2014.
J. R. Saragih, “Kinerja Produksi Kopi Arabika dan Prakiraan Sumbangannya dalam Pendapatan Wilayah Kabupaten Simalungun,” VISI, vol. 18, no. 1, pp. 98–112, 2010.
Z. Fatma, Analisis fungsi produksi dan efisiensi usahatani kopi rakyat di Aceh Tengah. Magister [Thesis]. Bogor: IPB Univ., 2011.
S. M. Silitonga, Salmiah, and L. Sihombing, “Analisis komparasi tingkat pendapatan usahatani kopi dengan berbagai pola tanam (monokultur dan polikultur) di Kabupaten Dairi Kecamatan Sumbul Desa Tanjung Beringin,” J. Soc. Econ. Agric. Agribus., vol. 2, no. 3, pp. 1–15, 2013.
S. A. Sembiring, J. Hutauruk, P. Nababan, S. Ginting, and D. C. Barus, “The measurement of cash flow on arabica coffee farmers,” in IOP Conf. Series: Earth and Environmental Science, 2018, p. 205.
N. Putu and R. Aryawati, “Pengaruh Produksi , Luas Lahan , dan Pendidikan Terhadap Pendapatan Petani dan Alih Fungsi Lahan Provinsi Bali,” E-Jurnal Ekon. Pembang. Univ. Udayana, vol. 7, no. 9, pp. 1918–1952, 2018.
M. H. Kutner, C. J. Nachtsheim, J. Neter, and W. Li, Applied Linear Statistical Models, Fifth. New York: McGraw-Hill Companies, Inc., 2005.
S. Makridakis, S. C. Wheelwright, and V. E. McGee, Metode dan Aplikasi Peramalan (Terjemahan: Forecasting); Alih Bahasa: Untung Sus Andriyanto dan Abdul Basith, Kedua. Jakarta: Erlangga, 1988.
A. Widarjono, Ekonometrika, 1st ed. Yogyakarta: UPP STIM YKPN, 2018.
Hasyim, “Bijaklah Menggunakan Herbisida di Kebun Kopi,” Serambi Indoinesia, Oct. 28, 2019. https://aceh.tribunnews.com/2019/10/28/bijaklah-menggunakan-herbisida-di-kebun-kopi (accessed Mar. 07, 2021).
M. G. Nuary, “Pandawa Agri Perkenalkan Herbisida ‘Organik,’” Gatra.com, 2021. https://www.gatra.com/detail/news/503467/gaya-hidup/pandawa-agri-perkenalkan-herbisida-organik (accessed Mar. 07, 2021).
KRJOGJA.com, “Weed Solut-ion’ Dukung Pertanian Berkelanjutan dan Ramah Lingkungan,” 2021. https://www.krjogja.com/angkringan/gaya-hidup/teknologi/weed-solut-ion-dukung-pertanian-berkelanjutan-dan-ramah-lingkungan/ (accessed Mar. 07, 2021).
T. Surya, “Penurunan dosis penggunaan herbisida bisa hingga 50%,” AGRINA-ONLINE.COM, 2021. http://www.agrina-online.com/detail-berita/2021/02/18/56/7314/biaya-perkebunan-hemat-hingga-40-dengan-reduktan-herbisida (accessed Mar. 07, 2021).
Irmeilyana, Ngudiantoro, M. N. Samsuri, and B. Suprihatin, “Logistic regression model on land productivity of Pagar Alam coffee farming,” in J. Phys.: Conf. Ser. 1943, 2021, pp. 1–12.
Irmeilyana, Ngudiantoro, and D. Rodiah, “Application of Simple Correspondence Analysis to Analyze Factors that Influence Land Productivity of Pagar Alam Coffee Farming,” presented at Int. Conf. on Mathematics, Statistics, and Their Applications (ICMSA), 2019, Bogor, Indonesia, 2019.
Irmeilyana, Ngudiantoro, and D. Rodiah, “Deskripsi Profil dan Karakter Usaha Tani Kopi Pagar Alam Berdasarkan Descriptive Statistics dan Korelasi,” Infomedia, vol. 4, no. 2, pp. 60–68, 2019.
Irmeilyana, Ngudiantoro, and S. I. Maiyanti, “Hypothesis testing in the study of the characteristics of Pagaralam coffee farmers as herbicide reductant users,” presented at Sriwijaya Int. Conf. on Basic and Applied Sciences (SICBAS), 2021, Palembang, Indonesia, 2021.
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