Analisis Konsumsi Dan Produksi Minyak Kelapa Sawit Di Indonesia Dengan Menerapkan Metode Moving Average

Authors

  • Intan Giri Anjani Institut Teknologi Telkom Purwokerto, Purwokerto
  • Alshalva Berliana Saputri Institut Teknologi Telkom Purwokerto, Purwokerto
  • Azka Nabalah Putri Armeira Institut Teknologi Telkom Purwokerto, Purwokerto
  • Dwi Januarita Institut Teknologi Telkom Purwokerto

DOI:

https://doi.org/10.30865/jurikom.v9i4.4506

Keywords:

Palm Oil, Supply Chain, Moving Average

Abstract

Palm oil has become a leading commodity for economic improvement in Indonesia. Currently, many people depend on the oil palm plantation sector. In the palm oil supply chain, there are business actors from upstream to downstream. But currently, palm oil export activities in the world are increasing. Thus causing palm oil in Indonesia to be scarce and expensive. This study discusses the analysis of consumption and production of palm oil in Indonesia by using the moving average method to forecast the amount of consumption and production of palm oil in 2022. Then analyzed using descriptive analysis method. The data source in this study is based on data available from BPS (Central Bureau of Statistics). From the forecasting results, the results show that palm oil consumption in Indonesia in 2022 has increased by 10.36% or 1.643 million tons from the amount of palm oil consumption in 2021 which is only 15.857 million tons. This is a good thing because the annual consumption of palm oil continues to increase significantly

References

I. K. Saragih, D. Rachmina, and B. Krisnamurthi, "Analisis status keberlanjutan perkebunan kelapa sawit rakyat Provinsi Jambi," Jurnal Agribisnis Indonesia (Journal of Indonesian Agribusiness), vol. 8, no. 1, pp. 17-32, 2020.

A. Sidauruk and A. Pujianto, "Sistem Pakar Diagnosa Penyakit Tanaman Kelapa Sawit Menggunakan Teorema Bayes," Data Manajemen dan Teknologi Informasi (DASI), vol. 18, no. 1, pp. 51-56, 2017.

W. Rachmarwi, "Praktik Manajemen Rantai Pasokan di Industri Kelapa Sawit di Indonesia," Jurnal Manajemen Bisnis Krisnadwipayana, vol. 6, no. 1, 2018.

J. H. V. Purba and T. Sipayung, "Perkebunan kelapa sawit indonesia dalam perspektif pembangunan berkelanjutan," Masyarakat Indonesia, vol. 43, no. 1, 2018.

D. Rahayu, R. C. Wihandika, and R. S. Perdana, "Implementasi Metode Backpropagation Untuk Klasifikasi Kenaikan Harga Minyak Kelapa Sawit," Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer e-ISSN, vol. 2548, p. 964X, 2018.

R. A. Pulungan, M. M. Lubis, and G. Harahap, "Analisis Pendapatan dan Pengeluaran Konsumsi Petani Kelapa Sawit Desa Lubuk Bunut Kecamatan Hutaraja Tinggi Kabupaten Padang Lawas," Jurnal Agriuma, vol. 2, no. 2, pp. 108-121, 2020.

R. Advent, Z. Zulgani, and N. Nurhayani, "Analisis faktor-faktor yang mempengaruhi ekspor minyak kelapa sawit di Indonesia Tahun 2000-2019," e-Journal Perdagangan Industri dan Moneter, vol. 9, no. 1, pp. 49-58, 2021.

D. Pasha and E. Suryani, "Pengembangan Model Rantai Pasok Minyak Goreng Untuk Meningkatan Produktivitas Menggunakan Sistem Dinamik pada PT XYZ," JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), vol. 3, no. 2, pp. 116-128, 2017.

R. R. Kurniawan, "Tata Kelola Perusahaan Minyak Goreng di Indonesia: Studi Literatur Fenomena Kelangkaan dan Kenaikan Harga Minyak Goreng di Indonesia," 2022.

H. Alrasyid, K. Kasim, and G. R. Deksino, "Kewaspadaan Nasional Dalam Menghadapi Ancaman Kelangkaan Minyak Goreng Sebagai Bentuk Perwujudan Bela Negara," Jurnal Kewarganegaraan, vol. 6, no. 1, pp. 992-1000, 2022.

M. Pongoh, "Analisis Penerapan Manajemen Rantai Pasokan Pabrik Gula Aren Masarang," Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, vol. 4, no. 3, 2016.

R. Y. Hayuningtyas, "Peramalan persediaan barang menggunakan metode weighted moving average dan metode double exponential smoothing," Jurnal PILAR Nusa Mandiri, vol. 13, no. 2, pp. 217-222, 2017.

V. Vistasusiyanti, P. Kindangen, and I. D. Palandeng, "Analisis Manajemen Rantai Pasokan Spring Bed Pada PT. Massindo Sinar Pratama Kota Manado," Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, vol. 5, no. 2, 2017.

H. Prapcoyo, "Peramalan Jumlah Mahasiswa Menggunakan Moving Average," Telematika: Jurnal Informatika dan Teknologi Informasi, vol. 15, no. 1, pp. 67-76, 2018.

I. Aryani, W. A. Naibaho, and S. Aisyah, "Analisis Kendala Rantai Pasok Kelapa Sawit terhadap Kenaikan Harga Minyak Goreng: Studi Kasus PTPN II Batang Kuis Medan," JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen, vol. 2, no. 1, pp. 1990-1996, 2022.

C. D. Lewis, Industrial and business forecasting methods: A practical guide to exponential smoothing and curve fitting. Butterworth-Heinemann, 1982.

M. Wullur and A. B. H. Jan, "ANALISIS SISTEM JARINGAN RANTAI PASOK BERAS DI DESA MURAM SARI KABUPATEN MERAUKE PROVINSI PAPUA," Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, vol. 10, no. 1, pp. 840-847, 2022.

J. N. A. Aziza, "Perbandingan Metode Moving Average, Single Exponential Smoothing, dan Double Exponential Smoothing Pada Peramalan Permintaan Tabung Gas LPG PT Petrogas Prima Services," Jurnal Teknologi dan Manajemen Industri Terapan, vol. 1, no. I, pp. 35-41, 2022.

Additional Files

Published

2022-08-30

How to Cite

Anjani, I. G., Saputri, A. B., Armeira, A. N. P., & Januarita, D. (2022). Analisis Konsumsi Dan Produksi Minyak Kelapa Sawit Di Indonesia Dengan Menerapkan Metode Moving Average. JURNAL RISET KOMPUTER (JURIKOM), 9(4), 1014–1019. https://doi.org/10.30865/jurikom.v9i4.4506