Article Sidebar

Submitted
Jan 24, 2021
Accepted
Jan 31, 2021
Published
Jan 31, 2021
Download
PDF
Statistic
Read Counter : 197 Download : 217

Main Article Content

Abstract

Cocoa is one of the plantation commodities that has an important role in Indonesia's economic activity and is one of Indonesia's export commodities which is quite important as a source of foreign exchange and oil and gas. Sulawesi Island is one of the cocoa-producing islands in Indonesia. This study aims to determine a spatial regression model between the average cocoa productivity per month with the average drinking temperature per month, the average monthly rainfall and the average length of sunshine per month and the climatic factors that affect cocoa productivity in Sulawesi. The best model estimation uses the AIC value; the best model has the smallest AIC value. In this study, the SARMA spatial regression model is the best model with the specified criteria.

Keywords

Cocoa SARMA Spatial Sulawesi

Article Details

How to Cite
Sundari, M., & Sihombing, P. R. (2021). The Influence of Climate Factors on Cocoa Productivity in Sulawesi, 2019. Parameter: Journal of Statistics, 1(1), 21-30. https://doi.org/10.22487/27765660.2021.v1.i1.15444

References

  1. Anselin, L. (1988). Spatial Econometrics: Methods and Models. Netherlands: Kluwer Academic Publishers.
  2. Arbia, G. (2006). Spatial Econometrics: Statistical foundation and Application to Regional Convergence. Berlin (GB): Springer.
  3. Badan Pusat Statistik. (2020). Statistik Kakao Indonesia 2019. Jakarta: Badan Pusat Statistik.
  4. BMKG. Retrieved Januari 2, 2020, from https://dataonline.bmkg.go.id/home
  5. Fischer, M., & Wang, J. (2011). Spatial Data Analysis: Models, Methods and Techniques. New York: Springer Heidelberg Dordrecht.
  6. Pusat Penelitian dan Perkebunan. (2010). Budidaya dan pasca panen kakao. Jakarta: Eska Media.
  7. Rubiyo, & Siswanto. (2012). Peningkatan produksi dan pengembangan kakao (Theobroma cacao L.) di Indonesia. Buletin Riset Tanaman Rempah dan Aneka Tanaman Industri, 3(1), Rubiyo, & Siswanto. (2012). .
  8. Safuan, L., Kandari, A. M., & Natsir, M. (2013). Evaluasi kesesuaian lahan tanaman kakao (Theobroma cacao L.) berdasarkan aplikasi analisis data iklim menggunakan aplikasi sistem informasi geografi. Jurnal Agroteknos, 3(2), 80-85.
  9. Wibawa, A., & Baon, J. (2008). Kesesuaian lahan. Panduan lengkap kakao: Manajemen agribisnis dari hulu hingga hilir. Jakarta: Penebar Swadaya.

Most read articles by the same author(s)