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All Journal Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Journal of Information Systems Engineering and Business Intelligence Jurnal Pendidikan Agama Islam MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Tarbiyatuna : Kajian Pendidikan Islam DIMAR: Jurnal Pendidikan Islam Journal of Soft Computing Exploration Jurnal Pendidikan Islam Journal of Student Research Exploration Journal of Information System Exploration and Research Scientific Journal of Informatics Jurnal Ilmiah Riset dan Pengembangan
Rofik Rofik, Rofik
FITK UIN Sunan Kalijaga Yogyakarta
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Journal of Soft Computing Exploration

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Improving car price prediction performance using stacking ensemble learning based on ann and random forest Tanga, Yulizchia Malica Pinkan; Simanjuntak, Robert Panca R.; Rofik, Rofik; Muslim, Much Aziz
Journal of Soft Computing Exploration Vol. 5 No. 3 (2024): September 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i3.462

Abstract

Determining the right selling price for a car can be a challenge for car sales companies. The selling price of a car is highly influenced by car characteristics such as brand, type, year of production, fuel type, and mileage. Therefore, the research aims to develop a more accurate model of car price prediction model by using a stacking ensemble technique that combines Random Forest and ANN. Random Forest is effective in handling outliers and reducing the risk of overfitting, while ANN has the advantage of capturing complex nonlinear patterns. The results show that the stacking ensemble model combining ANN and Random Forest can predict car sales prices by achieving an R2 value of 0.97. The results of this study can help distributors in selling cars make the right decisions regarding the sales price of cars. To improve the generalization of the model, future research is recommended to try a combination of different ensemble methods and the use of larger and more diverse datasets.
Co-Authors Abdul Aziz, Alif Alamsyah - Anggraini, Tasya Fitria Ardyani, Salma Shafira Fatya Aribah, Lutfina Artiyani, Fani Aulia, Reza Budi Prasetiyo, Budi Dwi Hermawan, Guntur Dwi Jayanti, Oni Endang Sugiharti, Endang Faaza, Muhammad Hakim, Ade Anggian Hakim, Roshan Aland Herlambang, M. Jumanto Jumanto, Jumanto Jumanto Unjung KA, Cecep Bagus Suryadinata Much Aziz Muslim Muqowim, Muqowim Musaadah, Khalimah Noorhaidi Hasan Nurul Hak Pertiwi, Dwika Ananda Agustina Pratidinal Jadid, Rosyid Riza Arifudin Sabarudin Sabarudin Simanjuntak, Robert Panca R. Tanga, Yulizchia Malica Pinkan