Decision Support System for Forecasting Palm Fruit Production With Trend Moment Methode Case Study of Kasus PT. Plantation Archipelago III (Persero) North Aek Nabara

Eka Maya Putri Siregar, Abdul Hakim Dalimunthe, Samsir Samsir, Taufiqqurrahman Siagian

Abstract


This study aims to determine the application of the Itrend moment method in determining forecasting of palm fruit production. Oil palm plantations are one of the industrial strategies in Indonesia. Oil palm trees are plants that provide many important roles for humans, such as raw materials that can be used as fuel and produce food oil. Therefore, it is not surprising why there are so many oil palm plantations scattered throughout the archipelago. One of them at Pt. Perkebunan Nusantara III (Persero) Kebun Aek Nabara Utara where the company is engaged in oil palm and rubber plantations. This research is supported by using the trend moment method to facilitate forecasting of palm fruit production. By doing forecasting, it will be easier to find out the amount of palm fruit production just by forecasting some symptoms, such as weather, climate, and temperature. In addition, this method is assisted by using a system, namely a decision support system. Where able to take or determine decisions from a forecasting (forecasting).


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DOI: https://doi.org/10.36987/jcoins.v4i2.4846

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Journal of Computer Science and Information System(JCoInS)
Journal URL: https://jurnal.ulb.ac.id/index.php/JCoInS/index
Journal DOI: 10.36987/jcoins
E-ISSN: 2747-2221

Alamat Redaksi :
Fakultas Sains dan Teknologi, Universitas Labuhanbatu
Gedung Fakultas Sains dan Teknologi,
Jalan Sisingamangaraja No.126 A KM 3.5 Aek Tapa, Bakaran Batu, Rantau Sel., Kabupaten Labuhan Batu, Sumatera Utara 21418