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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Widya Cipta : Jurnal Sekretari dan Manajemen IJISTECH (International Journal Of Information System & Technology) Jurnal Telematika ISOQUANT : Jurnal Ekonomi, Manajemen dan Akuntansi JUTIS : Jurnal Teknik Informatika Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Sisfotek Global Brahmana : Jurnal Penerapan Kecerdasan Buatan IJISTECH ProBisnis : Jurnal Manajemen Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi) Bhinneka Tunggal Ika: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Nomico Buffer Informatika Widya Cipta : Jurnal Sekretari dan Manajemen
Isnanto, Burham
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Carprice Intelligence: Prediction Price of Second Car using Machine Learning Sulaiman, Rahmat; Isnanto, Burham
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 18, No 1 (2026): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v18i1.37602

Abstract

Determining a fair market price for a used vehicle is a significant challenge for both sellers and buyers due to a lack of data transparency and the variety of influencing factors such as brand, production year, and mileage. This research aims to address this issue by developing a market data-based used vehicle price prediction system using a machine learning approach. The methodology adapts the CRISP-DM framework. Data is collected through web scraping from leading online marketplaces and processed through cleaning, normalization, and encoding before being used for modeling. Various regression algorithms were implemented, and the Linear Regression model was chosen for its optimal performance. The model was evaluated using the R Squared metric, yielding a score of 74% on the training data and 76% on the test data, demonstrating good accuracy and adaptability to new data. The best model was then implemented into a simple user interface based on Streamlit, allowing users to get a more objective recommendation for buying and selling prices. Overall, this system has great potential to facilitate more efficient and transparent transactions in the used automotive market, helping users make smarter and more profitable decisions.
Co-Authors Aditia, Gita Adiwinoto, Bambang Amir A, Ari Amir, Ari Amri Amri Amri Ari Amir Alkodri Atmaja, Ferry Bakti Atmaja, R Ferry Bakti Bakti, Ferry Chandra Kirana Chrisna Putra, Rendy Rian Dendi R, Agus Dendi Rachmansyah, Agus Dendi Rachmatsyah, Agus Dendi, Agus ellya helmud, ellya erli, erli Erwin Erwin Febiansyah, Hidayat Fitriyani Fitriyani Fitriyani, F Hamidah . Hengki Hengki Juniawan, Fransiskus Panca Lili Indah Sari Maxrizal Nur, Muchamim Okkita Rizan Pradana, Harrizki Arie Probonegoro, Wishnu Aribowo Rachmatsyah, Agus Dendi Rahmat Sulaiman Sari, Melati Suci Maya Seno Hadi Saputro Sugihartono, Tri Sujono Sujono, Sujono Supardi Supardi Wijaya, Benny Yulianti Yulianti Yulianti Yulita Yulita, Yulita Yuyi Andrika, Yuyi