Peningkatan Produksi Crude Palm Oil Melalui Kriteria Matang Panen Tandan Buah Segar untuk Optimalisasi Pendapatan Perusahaan

Mastarida L. F. Sitorus, Erwin Nyak Akoeb, Rasmulia Sembiring, Muhammad Akbar Siregar

Abstract


This study aims to determine the maturity level of oil palm fresh fruit bunches (FFB) that enter the Palm Oil Mill (POM). If the maturity level of FFB changes (not standardized), the company's income will change. This research method uses a quantitative approach, the type of research is secondary data collection. Data were obtained from POM of Rambutan PTPN III with garden samples, namely the Raja Tanah Gardens, Sei Putih, Sarang Giting, and Rambutan. The data collected is secondary data in the form of data series, namely FFB production, CPO, Core and Revenue in 2016 - 2018. Data were analyzed using multiple linear regression, optimization and two different test averages. The results showed that the composition of harvested fruit had a very significant effect on CPO and core production. Optimizing the maturity of the fruit harvest will significantly increase the production of palm oil and palm kernel. The average palm oil production that can be optimized from the realization in accordance with the fruit maturity criteria is 4,734.16 tons or 11.04%. The average palm kernel production that can be optimized from the realization in accordance with the fruit maturity criteria is 1,091.31 tons or 11.54%. Optimizing the maturity of harvested fruit will significantly increase revenues from palm oil and palm kernel. The average income that can be optimized from optimizing palm oil production is Rp. 38,862.51 million or 11.14%. The average income that can be optimized from optimizing the production of Palm Oil is Rp. 7,350.05 million or 11.57%

Keywords


fruit maturity, optimization, production, income

Full Text:

PDF

References


Abdullah, A. (2005). Prinsip Penilaian sensori. Terjemahan Nurul Huda. Penerbit UNRI Press Pekan Baru, Pekan Baru.

Alsa, A. (2004). Pendekatan Kuantitatif & Kualitatif Serta Kombinasinya dalam Penelitian Psikologi. Pustaka Pelajar, Yogyakarta.

Abduljabar, Bambang, & Darajat, Jajat. (2013). Aplikasi Statistika dalam Penjas. Universitas Pendidikan Indonesia, Bandung.

Ayustaningwarno, Fitriyono. (2012). Proses Pengolahan Dan Aplikasi Minyak Sawit Merah Pada Industri Pangan. Vitasphere, ISSN: 2085-7683, vol. II, p.1-11.

Elwood S. Buffa, Rakesh K. Sarin. John Wiley & Sons. (1987). Modern production operations management.

Fauzi, Y. (2008). Kelapa Sawit : Budi Daya, Pemanfaatan Hasil dan Limbah, Analisis Usaha dan Pemasaran. Cetakan 24. Penebar Swadaya, Jakarta.

Fauzi, Y. (2012). Kelapa Sawit Budidaya, Pemanfaatan Hasil dan Limbah, Analisis dan Pemasaran. Penebar Swadaya, Jakarta.

Fathurrahman. (2013). Perbandingan Komposisi Asam Lemak Kelapa Sawit (Elaeis Guineensis Jacq.) Hasil Transformasi Genetik. Jurnal Agroekoteknologi, vol. 3, No. 2, p.11-20.

Gay, L.R. (1982). Educational Research Competencies for Analsis & Application 2nd Edition. A Bell & Howell Company, Ohio.

Hadi, Sutrisno. (1985). Metodologi Research. Yogyakarta: Yasbit, Fak. Psikologi UGM.

Mangoensoekarjo, S & H. Semangun. (2003). Manajemen Agrobisnis Kelapa Sawit. Gajah Mada University Press, Yogyakarta.

Pahan, I. (2008). Panduan Lengkap Kelapa Sawit. Penebar Swadaya. Jakarta.

Ponten M. Naibaho. (1998). Teknik Pengolahan Kelapa Sawit. Penerbit Pusat Penelitian Kelapa Sawit.

Setyamidjaja, D. (2006). Kelapa Sawit. Kanisius, Yogyakarta.




DOI: https://doi.org/10.31289/agrisains.v2i1.251

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Program Pascasarjana Magister Agribisnis
Universitas Medan Area
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License