PENERAPAN ALGORITMA CART PADA PREDIKSI HARGA BAN PT.ABC

FATIMAH, NONA (2023) PENERAPAN ALGORITMA CART PADA PREDIKSI HARGA BAN PT.ABC. S1 thesis, Universitas Mercu Buana Bekasi.

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Abstract

Penentuan harga terbaik yang dapat ditawarkan menjadi salah satu poin strategi bisnis. Tujuan penelitian ini adalah untuk memprediksi harga terbaik ban truk berdasarkan kriteria item, brand dan ukuran ban menggunakan Algoritma Classification and Regression Tree yang merupakan salah satu algoritma dari teknik data mining. Data yang digunakan adalah data penjualan ban truk dari PT. ABC tahun 2021-2022 dengan jumlah data sebanyak 1096. Atribut data terdiri dari item, brand, ukuran, harga, tanggal, bulan dan tahun. Ketepatan prediksi diukur menggunakan nilai R-square dimana semakin mendekati angka 1 prediksi makin akurat/baik. Pembagian jumlah data training dan testing adalah 75:25. Hasil skor R-square yang menggunakan 75 data training adalah sebesar 98% dan menggunakan data testing sebesar 98%. Kata Kunci : CART, Ban, Harga, Prediksi. Determining the best price that can be offered is one of the business strategy points. The purpose of this study was to predict the best price for truck tires based on item criteria, brand and tire size using the Classification and Regression Tree algorithm, which is one of the algorithms used in data mining techniques. The data used is truck tire sales data from PT. ABC in 2021-2022 with a total of 1096 data. Data attributes consist of item, brand, size, price, date, month and year. The accuracy of the prediction is measured using the R-square value where the closer to number 1 the prediction is more accurate/better. The division of the amount of training and testing data is 75:25. The results of the R-square score using 75 training data is 98% and using data testing is 98%. Keywords: CART, Tire, Price, Prediction.

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