Binary Logistic Regression Modeling on Net Income of Pagar Alam Coffee Farmers

Ngudiantoro Ngudiantoro(1), Irmeilyana Irmeilyana(2*), Mukhlizar Nirwan Samsuri(3),

(1) Sriwijaya University
(2) Sriwijaya University
(3) 
(*) Corresponding Author

Abstract


Pagar Alam Coffee is a Besemah coffee originating from the Smallholder Plantation in South Sumatra, Indonesia. The majority of Pagar Alam coffee farming is a hereditary business. Coffee farmers' income is very dependent on coffee production, production costs, and coffee prices. This study aims to obtain a probability model of Pagar Alam coffee farmers income based on the factors that influence it. The independent variables studied were the number of dependents, economic conditions, number of trees, age of trees, frequency of fertilizer used, frequency of pesticide used, production at harvest time, production outside harvest time, number of women workers outside the family, minimum price of coffee, maximum price of coffee, farmers' gross income, and land productivity. Modeling used binary logistic regression method on 179 respondents. There were three methods used, i.e. enter method, forward and backward methods. The model using enter method results the greatest prediction accuracy which is 87.7%. The factors that have a significant influence on the net income of Pagar Alam coffee farmers are gross income, land productivity, and the number of women workers from outside the family. The most influential variable is gross income.

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References


Halim, D. B., Analisis Kebijakan Perdagangan Internasional Pertanian dan Manufaktur, Webinar Berseri WTO dan Analisis Kebijakan Perdagangan, 8-14 Juni 2020, Kerjasama ITABS, Dept. IE FEM IPB, ISEI Bogor Raya, Kementerian Perdagangan, dan UNIED.

Irmeilyana, Ngudiantoro, A. Desiani, and D. Rodiah, Deskripsi hubungan luas areal dan produksi perkebunan kopi di Indonesia menggunakan analisis bivariat dan analisis klaster, Infomedia, vol. 4, no. 1, pp. 2127, 2019.

Irmeilyana, Ngudiantoro, A. Desiani, and D. Rodiah, Deskripsi hubungan luas areal dan produksi perkebunan kopi di provinsi sumatra selatan, in Proseding SEMIRATA BKS PTN Indonesia Barat, 2019, pp. 7486.

___________. Kopi Robusta Besemah Sumatera Selatan, 2017. [Online]. Available: http://www.lintaskopi.com/kopi-robusta-besemah-sumatera-selatan/

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. 6068, 2019.

Irmeilyana, Ngudiantoro, and D. Rodiah, Laporan Penelitian Hibah Kompetitif: Analisis Pengaruh Faktor-faktor Internal dan Eksternal Terhadap Produktivitas Petani Kopi dan Usaha Optimalisasi Produksi Kopi, Indralaya, 2019.

Irmeilyana, Ngudiantoro, and D. Rodiah, Application of Simple Correspondence Analysis to Analyze Factors that Influence Land Productivity of Pagar Alam Coffee Farming, in International Conference on Mathematics, Statistics, and Their Applications (ICMSA) 2019, 2019.

A. Agresti, Categorial Data Analysis. New York: Jhon Wiley & Sons Inc., 2009.

D. W. Hosmer and S. Lemeshow, Applied Logistic Regression, 2nd ed. New York: Jhon Wiley & Sons Inc., 2000.

A. Widarjono, Analisis Multivariat Terapan, Kedua. Yogyakarta: UPP STIM YKPN, 2015.

M. N. Samsuri, Ngudiantoro, and Irmeilyana, Pemodelan Regresi Logistik Produktivitas Pengrajin Songket di Kabupaten Ogan Ilir, in Proceeding The 5th Annual Reasearch Seminar 2019, 2020, pp. 6671.




DOI: https://doi.org/10.24071/ijasst.v2i2.2734

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