Pratama, Denta (2025) Prediksi harga Iphone Second menggunakan algoritma Random Forest Regression berdasarkan kondisi unit. Sarjana thesis, UIN Sunan Gunung Djati Bandung.
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Abstract
Penelitian ini membahas pengembangan model prediksi harga Iphone second berdasarkan kondisi unit menggunakan algoritma Random Forest Regression dan diimplementasikan dalam aplikasi berbasis website. Dataset sebanyak 542 data diperoleh dari Marketplace Facebook dan grup jual beli Iphone, dengan variabel meliputi tipe, kapasitas penyimpanan, garansi, Face ID, dan Truetone. Metode penelitian menggunakan CRISP-DM, melalui tahapan business understanding, data understanding, data preparation, modeling, evaluation, dan deployment. Model diuji pada pembagian data 80%–20%, 70%–30%, dan 60%–40% dengan hasil MAE 8,32%–8,42% dan RMSE 10,64%–10,88%, menunjukkan akurasi yang baik dan konsisten. Sistem yang dibangun mampu memberikan rekomendasi harga secara otomatis sesuai kondisi unit, sehingga dapat membantu penjual maupun pembeli dalam menentukan harga yang wajar.
| Item Type: | Thesis (Sarjana) |
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| Uncontrolled Keywords: | Prediksi harga; Iphone second; Random Forest Regression; CRISP-DM; Machine Learning |
| Subjects: | Data Processing, Computer Science Data Processing, Computer Science > Dictionaries and Encyclopedia Computer Science Data Processing, Computer Science > General Publications Data Processing, Computer Science > Computer Science Education |
| Divisions: | Fakultas Sains dan Teknologi > Program Studi Teknik Informatika |
| Depositing User: | Denta Pratama |
| Date Deposited: | 21 Sep 2025 12:56 |
| Last Modified: | 22 Sep 2025 04:24 |
| URI: | https://digilib.uinsgd.ac.id/id/eprint/121210 |
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