Study of Coconut Farming in Supporting Farmers’ Income in Kambowa District, North Buton Regency

Mawari Mawari(1), Lely Ersilya(2),


(1) Geography Education Study Program, STKIP Pelita Nusantara Buton, Indonesia
(2) Geography Education Study Program, STKIP Pelita Nusantara Buton, Indonesia

Abstract

Coconut farming research was carried out with the aim of knowing the production process of coconut farming and the amount of its contribution to supporting farmers' income in Kambowa District. This study uses a survey method which is intended to find out the truth conceptually and practically realistically regarding coconut farming in supporting farmers' income. Sampling used the Simple Random Sampling method with homogeneous population limits so that the sample totaled 40 respondents or 10% of the total population of 400 heads of households who carry out coconut farming. Collecting data using observation techniques, questionnaires, interviews and documentation. Data analysis used descriptive quantitative analysis with frequency tables and calculations that only reached the percentage level. Coconut farming is carried out by farmers in a simple way on large areas of land using manual tools and technology, own capital and a small amount of labor, starting from land preparation to post-harvest. The results of coconut farming in Kambowa District average IDR 6,092,500/Ha and these results can provide a significant contribution of 34.72% in supporting farmers' income.

Keywords

coconut farming; income; contribution

Full Text:

PDF

References

BPS. (2020). Kecamatan Kambowa Dalam Angka, BPS Kabupaten Buton Utara. Sulawesi Tenggara.

Damanik, J. A. (2014). Analisis faktor-faktor yang mempengaruhi pendapatan petani padi di Kecamatan Masaran, Kabupaten Sragen. Economics Development Analysis Journal, 3(1).

Deichmann, U., Goyal, A., & Mishra, D. (2016). Will digital technologies transform agriculture in developing countries?. Agricultural Economics, 47(S1), 21-33.

Hansson, H., Ferguson, R., Olofsson, C., & Rantamäki-Lahtinen, L. (2013). Farmers' motives for diversifying their farm business–The influence of family. Journal of Rural Studies, 32, 240-250.

Harland, T. (2014). Learning about case study methodology to research higher education. Higher Education Research & Development, 33(6), 1113-1122.

Mahanty, T., Bhattacharjee, S., Goswami, M., Bhattacharyya, P., Das, B., Ghosh, A., & Tribedi, P. (2017). Biofertilizers: a potential approach for sustainable agriculture development. Environmental Science and Pollution Research, 24, 3315-3335.

Moysiadis, V., Sarigiannidis, P., Vitsas, V., & Khelifi, A. (2021). Smart Farming in Europe. Computer Science Review, 39, 100345.

Nakamura, E., & Steinsson, J. (2018). Identification in Macroeconomics. Journal of Economic Perspectives, 32(3), 59-86.

Sanga, C., Kalungwizi, V., & Msuya, C. (2013). Building agricultural extension services system supported by ICTs in Tanzania: Progress made, challenges remain. International journal of education and development using ICT, 9(1), 80-99.

Wellington, J. (2015). Educational Research: Contemporary Issues and Practical Approaches. Bloomsbury Publishing.

Wild, C. J., Utts, J. M., & Horton, N. J. (2018). What is statistics?. International Handbook of Research in Statistics Education, 5-36.

Refbacks

  • There are currently no refbacks.