PEMODELAN SEMIVARIOGRAM EKSPERIMENTAL PADA JUMLAH PENYEBARAN PRODUKSI KELAPA SAWIT DI INDONESIA: Experimental Semivarogram Modeling On The Number Of Oil Palm Production Distribution in Indonesia

ilam Maryam; Tantri Julia Arsita; Hendy Stevanus; Ehairun Nisa

doi:10.33019/fraction.v2i2.35

Authors

ilam Maryam Universitas Bangka Belitung
Tantri Julia Arsita Universitas Bangka Belitung
Hendy Stevanus Universitas Bangka Belitung
Ehairun Nisa Universitas Bangka Belitung

DOI:

https://doi.org/10.33019/fraction.v2i2.35

Keywords:

Kelapa Sawit, Nugget Effect, Semivariogram Experimental

Abstract

Oil palm is a leading plantation commodity in Indonesia with the industrial distribution area covering Sumatra, Kalimantan, Sulawesi and surrounding areas. This study aims to model the semivarogram of the distribution of oil palm production in Indonesia. The data used in this study is secondary data obtained through the official website of the Indonesian Central Statistics Agency (BPS), in the form of data on oil palm production in 34 provinces in Indonesia from 2012 to 2021. The method used in this study is an experimental semivariogram method. , then fitting the model from five models, namely Exponential model, Spherical model, Gaussian model, Logarithmic model and Wave model (holt effect) by looking at the value of the Nugget effect (Co). Based on the discussion of the number of models that are suitable to see the highest palm oil production in Indonesia, the Wave (hol effect) model with a Nugget effect value of 0 and the foem of the equation is...*

Downloads

Download data is not yet available.

References

K. N. Hasibuan, “Peramalan Jumlah Produksi Kelapa Sawit di Kabupaten Padang Lawas dengan Metode Smoothing Eksponensial Ganda Pada Tahun 2019-2020,” J. Universitas Sumatera Utara, 2021.

M. Harahap, S. Y. Nababan, “Tsukamoto Pada Analisis Prediksi Hasil Kelapa Sawit,” J. Teknologi dan Ilmu Komputer Prima, vol. 3 (1), pp: 414-423, 2020.

S. P. Elvani, A. R. Utary, R. Yudaruddin, “Peramalan Jumlah Produksi Tanamana Kelapa Sawit dengan Menggunakan Metode ARIMA (Autoregressive Integred Moving Average),” J. Manajemen, vol. 8 (1), pp: 95-112, 2017.

S. J. Pririzki, N. Sari, B. Agustin, Y. R. E. Simbolon, “Penerapan Model Semivariogram Eksperimental Pada Curah Hujan Bulanan di Indonesia”, Fraction, vol. 1 (2), pp: 1-6, 2022.

K. T. Ubb, “Penaksiran Data Composite Jumlah Hambatan Lekat Menggunakan Metode Ordinary Kriging”.

R. Amelia, G. Guskarnali, R. A. Ahmad, and Z. K. Ismartika, “Pendekatan Semivariogram Anisotropik dalam Metode Ordinary Kriging (OK) Terhadap Pola Penyebaran Mineral Ikutan Timah,” Promine, vol. 8 (1), pp: 34-39, 2020, doi: 1033019/promine.v8il.1828.

Badan Pusat Statistik Jakarta Pusat, “Statistik Indonesia Tahun 2010,” Jakarta Pusat: Ba-dan Pusat Statistik.

T. B. WKM, D. Chaerani, B. R. Nurani, “Eksplorasi Sofware R untuk Fitting Semivario-gram Sphertical Menggunakan Pemrograman Linear dan Uji Analisis Sensitivitas,” J. Ma-tematika Integratif, vol. 12 (2), pp: 75-82, 2016.]

F. Arsyad, D. Yulhendra, H. Prabowo, “Kajian Teknis dan Ekonomis Perancang Design Kemajuan Penambang Quarry Batukapur pada Bulan April-Agustus 2017 di Front III B-IV B Bukit Karang Putih PT. Semen Padang,” J. Bina Tambang, vol. 3(3), 2018.

R. Amelia, G. Guskarnali, “Penaksiran Data Composite Jumlah Hambatan Lekat Menggunakan Metode Ordinary Kriging,” in proc. Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat, UBB. 2017. doi: https://doi.org/10.33019/snppm.v1i0.562, 2017.