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All Journal Jurnal Informatika dan Teknik Elektro Terapan Journal of Technology and Informatics (JoTI)
Fithra, Raka Fazah
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

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Pengembangan Sistem Prediksi Harga dan Rekomendasi Mobil Bekas Berbasis Machine Learning Anggara, Jerry; Ramadhan, Fauzi Rahmat; Syofian, Achmad Fikri; Panjaitan, Apriansa Arwandi; Fithra, Raka Fazah
Journal of Technology and Informatics (JoTI) Vol. 7 No. 1 (2025): Vol. 7 No.1 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i1.987

Abstract

The used car sales business in Indonesia has been experiencing rapid growth, driven by increasing market demand. However, determining the price of used cars remains a challenge due to various influencing factors such as the year of production, mileage, and vehicle specifications. This research develops a web-based used car price prediction system using the XGBoost Regressor algorithm. The data used undergoes preprocessing and hyperparameter tuning to produce a high-performance model (R²: 97.79% on training data and 89.90% on testing data, MSE: 2.3129, RMSE: 1.5208). Additionally, the system provides a car recommendation feature using a Rule-Based Method, allowing users to filter vehicles based on specific criteria. The results demonstrate that this system effectively assists both buyers and sellers in making more informed, efficient, and transparent decisions in used car transactions.
PEMANFAATAN SQLMAP UNTUK DETEKSI SQL INJECTION PADA SITUS WEB Salsabila, Hulwa; Fithra, Raka Fazah
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6507

Abstract

SQL Injection is a serious threat to the security of dynamic websites widely used on the internet. This attack can expose sensitive information and compromise system integrity. Therefore, this research was conducted to identify and exploit vulnerabilities in websites using the SQLMAP tool. This tool allows for scanning and extracting data from databases vulnerable to SQL Injection attacks. The research started by scanning the website to identify the database in use, followed by exploring the tables, and finally dumping data from the selected table. The results of the study show that SQLMAP can be effectively used to detect and exploit vulnerabilities in websites with SQL Injection flaws. Although effective, its use requires a deep technical understanding of SQL and server configurations. These findings are significant in the context of website security testing and contribute to the development of more effective tools to detect and address potential SQL Injection attacks. This research is expected to raise awareness and understanding of the importance of securing websites against SQL Injection attacks.
Co-Authors Anggara, Jerry Panjaitan, Apriansa Arwandi Ramadhan, Fauzi Rahmat Salsabila, Hulwa Syofian, Achmad Fikri