Implementasi Data Mining Pada Pengaturan Distribusi Barang Dengan Menggunakan Algoritma Fp-Growth

Boy, Ahmad Fitri; Yakub, Suardi; Ishak, Ishak; Azmi, Zulfian

doi:10.54314/jssr.v5i2.947

Cited by 3 publications

(2 citation statements)

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“…CPO atau minyak kelapa sawit mentah merupakan jenis minyak yang diperoleh dari sebuah pohon kelapa sawit. Biasanya digunakan untuk berbagai produk makanan, minyak masakan, makanan ringan, sabun, lilin, kosmetik, dan juga bisa digunakan sebagai sumber biofuel atau biodiesel [1]. CPOmerupakan sumber yang kaya beta-karotena, dan tinggi antioksida.…”

Section: Pendahuluanunclassified

Implementasi Data Mining Memprediksi Penjualan Crude Palm Oil Berdasarkan Kapasitas Tangki Menggunakan Multiple Linear Regression

Baskara,

Nazir,

Irsyad

et al. 2023

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Data mining is a process of discovering information from data that can be used to improve business, product development, and other decision-making processes. One application of data mining is in PT. Kerry Sawit Indonesia, which is an agribusiness company in the Wilmar Group that deals with processing crude palm oil (CPO). Sales of CPO are crucial for palm oil plantation companies. To increase efficiency and profitability, palm oil plantation companies can predict CPO sales to optimize sales and CPO inventory. One method that can be used to predict CPO sales is through data mining techniques. In this study, the data mining technique used is multiple linear regression. Multiple linear regression is used to determine the relationship between the tank capacity variable and CPO sales. The data used in this study are CPO production data, CPO sales data, and tank capacity data obtained from palm oil plantation companies over the last five years. The results of the Multiple Linear Regression calculation in this case study show that the coefficient of determination (R-squared) value is 0.9546, indicating that 95.46% of the CPO delivery variability can be explained by the independent variables. Additionally, the MAPE and RMSE tests show that the regression model obtained has good accuracy in predicting CPO deliveries. Therefore, this regression model can be used to predict CPO deliveries in the future, considering the predetermined independent variable values.

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Section: Pendahuluanunclassified

Implementasi Data Mining Memprediksi Penjualan Crude Palm Oil Berdasarkan Kapasitas Tangki Menggunakan Multiple Linear Regression

Baskara,

Nazir,

Irsyad

et al. 2023

json

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“…Tetapi pada data mining sendiri proses pengolahan data yang dilakukan tidak dapat berdiri sendiri, pada data mining proses pengolahan data yang dilakukan dengan menggunakan metode -metode ataupun algortima yang terbagi dalam beberbagai macam teknik penyelesaian pada data mining. Berbagai contoh metode ataupun algortima yang dapat dipergunakan untuk menyelesaikan permasalahan pada data mining seperti FP-Growth, Apriori, Naïve Bayes, SVM, Regresi Linear, K-Means, K-Medoids dan juga beberapa metode lainnya [14]- [19].…”

Section: Pendahuluanunclassified

Penerapan Data Mining Untuk Prediksi Perkiraan Hujan dengan Menggunakan Algoritma K-Nearest Neighbor

Nursobah

Lailiyah

Harpad

et al. 2022

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Rain is a condition where water droplets fall from clouds to the earth. In life, the presence of rain is highly anticipated, rain can help people who have a profession as farmers. Rain that occurs on a large scale will really provide obstacles for the community, in addition to hampering activities or activities especially those carried out on outdoor rain can also cause disaster for the community in the form of flooding. Estimating rain for the community is very important, knowing whether it will rain or not can make it easier for the community to anticipate the possibilities that may occur due to rain. However, in the process of delivering forecasts, there is often an uneven distribution of information and delays in conveying information to the public regarding whether or not rain will occur. The community should be able to independently predict whether or not rain will occur. Data processing should be done properly and correctly. Data mining is a way that can be done to assist in data processing. In this study, the settlement process will be carried out using the K-Nearest Neighbor (K-NN) algorithm. The results obtained show that the data testing decision is NO. In other words, data mining and the K-Nearest Neighbor algorithm can help the problem solving process

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Application of decision system design based on improved association rules in rural social security

Sun

2023

Int J Syst Assur Eng Manag

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Implementasi Data Mining Pada Pengaturan Distribusi Barang Dengan Menggunakan Algoritma Fp-Growth

Cited by 3 publications

References 0 publications

Implementasi Data Mining Memprediksi Penjualan Crude Palm Oil Berdasarkan Kapasitas Tangki Menggunakan Multiple Linear Regression

Implementasi Data Mining Memprediksi Penjualan Crude Palm Oil Berdasarkan Kapasitas Tangki Menggunakan Multiple Linear Regression

Penerapan Data Mining Untuk Prediksi Perkiraan Hujan dengan Menggunakan Algoritma K-Nearest Neighbor

Application of decision system design based on improved association rules in rural social security

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