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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Syntax Literate : Jurnal Ilmiah Indonesia Jurnal Informatika Universitas Pamulang Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ jurnal teknik informatika dan sistem informasi
Rizal, Adhi
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Humanities Computer Science & IT Education Environmental Science Law, Crime, Criminology & Criminal Justice Other

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Journal : jurnal teknik informatika dan sistem informasi

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Prediksi Risiko Perjalanan Transportasi Online Dari Data Telematik Menggunakan Algoritma Support Vector Machine Sitorus, Christ Memory; Rizal, Adhi; Jajuli, Mohamad
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 2 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i2.2672

Abstract

The ride-hailing service is now booming because it has been helped by internet technology, therefore many call this service online transportation. The magnitude of the potential for growth in online transportation service users also increases the risk of user satisfaction which could have declined therefore the company is increasing in its service. Both in terms of application and services provided by partners/drivers of the company. During each trip, the online transportation application will record device movement data and send it to the server. This data set is usually called telematic data. This telematics data if processed can have enormous benefits. In this study, an analysis will be conducted to predict the risk of online transportation trips using the Support Vector Machine (SVM) algorithm based on the obtained telematic data. The data obtained is telematic data so it must be processed first using feature engineering to obtain 51 features, then trained using the SVM algorithm with RBF kernel and modified C values. Every C value that is changed will be used K-Fold cross-validation first to separate the testing data and training data. The specified k value is 5. The results for each trial obtained accuracy, Receiver Operating Characteristic (ROC) and Area Under the Curves (AUC), for the best that is at C = 100 while the worst at C = 0.001.
Co-Authors ade, Nofri Alfi, Rizal Nur Apriade Voutama Aries Suharso Een Nurhasanah Hijjayanti, Kartika Iqbal Maulana Maspuroh, Uah Prayogo, Janny Eka Riza Ibnu Adam, Riza Ibnu Saptoaji, Nurrochmat Sitorus, Christ Memory Susilawati, Susilawati Yusup, Dadang