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Adhitya Bagas Pratama
Universitas Pamulang
Computer Science & IT Library & Information Science

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Analisis Dan Perancangan Sistem Informasi Manajemen Bengkel Berbasis Web Menggunakan Metode Prototyping Berdasarkan Standar ISO/IEC 25010 Reghina Ilma Maulani Masayu; Adhitya Bagas Pratama; Chairul Anwar
Journal of Information Systems and Business Technology Vol 2 No 3 (2026): Journal of Information Systems and Business Technology
Publisher : PT Jurnal Cendekia Indonesia

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New developments in technology have helped different areas of the economy, like service businesses such as auto repair shops, to better their service and work processes by using computer systems. PT Solusindo, which is the focus of this study, still uses manual methods to handle service data, transactions, and spare parts inventory. This leads to issues like mistakes when entering data, slow sharing of information, and challenges in creating reports. This study aims to look into and create a web-based system for managing workshops, using a prototype approach to ensure it fits what the users need best. This method has several steps: first, they check what the users need. Then they create a plan for the system. Next, they build a first version of the system. After that, they test and improve it again and again until it works well for the users. The system handles managing customer information, vehicle details, service records, inventory items, and generating reports. System testing follows the ISO/IEC 25010 standard, which looks at how well a system works, how easy it is to use, how dependable it is, how well it performs, and how safe it is. The study shows that this system makes managing data better, speeds up service processes, and helps reduce mistakes. Therefore, this system is seen as a good option to help PT Solusindo run its operations in a smooth and complete way
Analisis Akurasi Algoritma Random Forest Regression dalam Memprediksi Harga Mobil Bekas Zibran Briliantama; Wahyu Adriyano; Adhitya Bagas Pratama
Journal of Information Systems and Business Technology Vol 2 No 3 (2026): Journal of Information Systems and Business Technology
Publisher : PT Jurnal Cendekia Indonesia

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Abstract

Kemajuan dalam teknologi Machine Learning telah memberikan dampak yang besar di banyak sektor, terutama dalam membantu proses penentuan harga kendaraan bekas. Proses menetapkan harga jual kendaraan bekas sering kali menghadapi kesulitan karena dipengaruhi oleh berbagai faktor kendaraan, seperti merek, jenis, tahun pembuatan, jarak tempuh, tipe bahan bakar, jenis transmisi, dan detail mesin. Penelitian ini bertujuan untuk menilai efektivitas algoritma Random Forest Regression dalam meramalkan harga kendaraan bekas berdasarkan atribut-atribut yang ada pada dataset. Langkah-langkah yang dilakukan dalam penelitian ini mencakup pengumpulan informasi, tahap preprocessing, pengubahan atribut kategorikal, pemisahan data menjadi set pelatihan dan pengujian, penciptaan fitur tambahan, penyesuaian hyperparameter, pembangunan model, dan penilaian performa dengan menggunakan metrik Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), dan koefisien determinasi (R²). Temuan dari penelitian ini menunjukkan bahwa model Random Forest Regression mampu memberikan estimasi harga kendaraan bekas dengan akurasi yang baik dan juga dapat mengungkap hubungan kompleks antara ciri-ciri kendaraan dan nilai jualnya. Oleh karena itu, model yang telah dikembangkan ini berpotensi digunakan sebagai alat bantu dalam pengambilan keputusan untuk menentukan harga kendaraan bekas dengan cara yang lebih objektif, konsisten, dan sesuai kondisi pasar.
Co-Authors Chairul Anwar Reghina Ilma Maulani Masayu Wahyu Adriyano Zibran Briliantama