Faktor-Faktor Yang Mempengaruhi Produksi Salak Mangguang Menggunakan Analisis Regresi Linear Berganda

Putri Wahyuni - State University Of Padang
Rara Winanda -

Abstract


The center of snake fruit mangguang recency is in Kenagarian Tanjung Beringin. Mangguang salak production fluctuates every year. From 2019-2022, snake fruit production has decreased, which has an impact on the economy of the people in the area. The aim of this research is to identify factors that have a significant influence on the production of Mangguang salak in Pasaman Regency. The analysis used is multiple linear regression analysis. From the research results, the factors that most significantly influence the production of mangguang salak are the number of clumps and pruning with an error rate of 5%.

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References


C. N. Ristanti, “Analisis Ekonomi Dan Kelayakan Usahatani Salak Di Desa Rumah Lengko Kecamatan STM Hulu Kabupaten Deli Serdang,” pp. 1–60, 2019.

K. Prihatman, “Mengenal Lebih Jauh Salak Yang Ada di Pasaman atau Biasa Dikenal Dengan Salak Mangguang,” vol. 2, pp. 1–16, 2000, [Online]. Available: http://www.warintek.ristek.go.id/pertanian/salak.pdf

Dachlan, “Kecocokan Faktor Alam Untuk Berbagai Tumbuhan Yang Dapat Hidup di Kabupaten Pasaman,” Angew. Chemie Int. Ed. 6(11), 951–952., pp. 22–31, 2014.

A. Saputra and N. Widuri, “Faktor-Faktor Yang Mempengaruhi Kegiatan Pemeliharaan Tanaman Salak pondoh Di Desa Karang Jinawi,” J. Agribisnis dan Komun. Pertan. (Journal Agribus. Agric. Commun., vol. 5, no. 1, p. 33, 2022, doi: 10.35941/jakp.5.1.2022.7060.33-41.

T. Hakim and M. E. I. An, “Tharmizi hakim,” 2018.

Z. Rahman, Pengantar Statistika. 2016. doi: 10.14724/2002.

S. R. K., Analisis Regresi Liniear Berganda, vol. 8, no. 3. 2019. doi: 10.26418/bbimst.v8i3.33171.

M. Douglas C, E. A. Peck, and G. Vining, Introduction to linear regression analysis, vol. 1. 2006.

A. Zahriyah, Suprianik, A. Parmono, and Mustofa, “Ekonometrika Teknik Dan Aplikasi Dengan SPSS,” Mandala Press, pp. 1–130, 2021.

Gabetta, “Analisis faktor Untuk Menguji Keseimbanga Faktor-Faktor Pada Salak Pondoh,” vol. 58, no. 58, pp. 99–104, 1989, [Online]. Available: https://www.unhcr.org/publications/manuals/4d9352319/unhcr-protection-training-manual-european-border-entry-officials-2-legal.html?query=excom 1989

C. S. Yunita, H. Helma, and M. L. Nasution, “Faktor-Faktor Yang Mempengaruhi Produksi Jagung di Desa Kayu Gadang Menggunakan Analisis Regresi Linier Berganda,” J. Math. UNP, vol. 6, no. 2, pp. 7–11, 2021, [Online]. Available: http://ejournal.unp.ac.id/students/index.php/mat/article/view/11552

Z. Li, X. Cao, X. Ding, and H. Chen, “Prediction Model of Multiple Linear Regression Analysis in Grain Production,” Proc. 5th Int. Conf. Inf. Eng. Mech. Mater., vol. 21, no. Icimm, pp. 1290–1293, 2015, doi: 10.2991/icimm-15.2015.233.

A. Bekele and T. Guadie, “Multiple Linear Regression Analysis on Factors Affecting Coffee Production in Bench-Shako Zone: In Case of Mizan-Aman District, Southwest Ethiopia,” Adv. Biosci. Bioeng., vol. 8, no. 2, p. 24, 2020, doi: 10.11648/j.abb.20200802.13.

A. Diren, “POPULASI, SAMPEL DAN SUBJEK PENELITIAN,” p. 2012, 2012.

T. A. Trunfio et al., “Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy,” BMC Med. Inform. Decis. Mak., vol. 22, no. 1, pp. 1–8, 2022, doi: 10.1186/s12911-022-01884-9.




DOI: http://dx.doi.org/10.24036/unpjomath.v9i3.16676