Memprediksi kecelakaan pada kendaraan bermotor menggunakan metode naïve bayes

Kerry, Kerry (2021) Memprediksi kecelakaan pada kendaraan bermotor menggunakan metode naïve bayes. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Penelitian ini bertujuan untuk memudahkan pihak asuransi dalam menentukan kemungkinan orang mengalami kecelakaan dengan menggunakan metode Naïve Bayes yang merupakan metode probabilistik yang sederhana. Dalam penelitian ini data yang digunakan yaitu, data set asuransi yang terdapat dalam www.kaggle.com. Total data yang dapat digunakan berjumlah 7657 data. Data dibagi menjadi dua dan akan diujikan. Data pertama dengan jumlah 7000 data yang disebut data train dan data kedua dengan jumlah 657 data yang disebut data test. Dengan menggunakan data train akan dicari model Naïve Bayes, lalu menggunakan model Naïve Bayes dan data test untuk mencari akurasinya. Hasil akurasi yang diperoleh merupakan akurasi model Naïve Bayes untuk memprediksi terjadinya kecelakaan./This research aims to make it easier for the insurer easier to determine the possibility person had an accident using the Naïve Bayes method which is a simple probabilistic method. In this research, the data in used are the insurance data set that can be found in www.kaggle.com. The total data that can be used are 7657 data. The data is divided into two and will be tested. The first data with a total of 7000 data is called train data and the second data with a total of 657 data is called test data. By using the train data, the Naïve Bayes model will be searched, then using the Naïve Bayes model and test data to find its accuracy.The accuracy results obtained are the accuracy of the Naïve Bayes model to predict accidents.

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