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All Journal ComEngApp : Computer Engineering and Applications Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Generic
Sarifah Putri Raflesia
Universitas Sriwijaya
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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Using machine learning approach towards successful crowdfunding prediction Sarifah Putri Raflesia; Dinda Lestarini; Rizka Dhini Kurnia; Dinna Yunika Hardiyanti
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.5238

Abstract

Crowdfunding is a concept that emerged due to difficulties in raising funds for community business projects, social activities, micro-enterprises, and start-ups conventionally. Crowdfunding uses internet technology as a bridge between the donor and the recipient of funds so that it can reach a wider range of donors. This study aims to compare the performance of machine learning approaches in predicting crowdfunding campaign success. Three machine learning algorithms were employed to predict crowdfunding campaign success, namely logistic regression, random forest, and extreme gradient boosting (XGBoost). The dataset used in this study contains data about all projects posted on Kickstarter from January 2020 to September 2022. To improve the prediction model's performance, experiments using principal component analysis (PCA) feature reduction and log transformation were conducted. The results show that the implementation of log transformation on the dataset can increase the prediction model's performance. Meanwhile, XGBoost algorithm performs better than linear regression and random forest.
Co-Authors Adelia Azahra Bambang Tutuko Caesar Rizky Kurniawan Desty Rodiah Dimas Budianto Dinda Lestarini Dinna Yunika Hardiyanti Firdaus Firdaus Firdaus Firdaus Rizka Dhini Kurnia Siti Nurmaini Taufiqurrahman Rusdy