Integrasi Metode Hybrid Recommendation dan Random Forest Regression untuk Optimasi Prediksi Durasi Menginap pada Sistem Pemesanan Kos Berbasis Web

Mufti Ari Bianto ; Hanif Azhar Ramadhan ; Ardian Hudi Ramadhani ; Tsalits Wildan Hamid
Jurnal Riset Rumpun Ilmu Teknik 📅 2025 Vol 4, No 3 🔗 DOI: 10.55606/jurritek.v4i3.6591
Abstract
This study proposes the integration of a Hybrid Recommendation method (combining Content-Based and Collaborative Filtering) with Random Forest Regression (RFR) to improve the accuracy of stay duration prediction in web-based boarding house booking systems. The main issue in online boarding booking systems is the inaccuracy of predicting user stay duration, affecting room allocation efficiency and customer satisfaction. The dataset was sourced from the hotel sector due to its attribute similarities and data validity. The research process includes data preprocessing (missing value imputation, normalization, and one-hot encoding), temporal and contextual feature engineering, hybrid recommendation system construction with CBF and CF score weighting, and RFR model training optimized through Grid Search and 10-fold cross-validation. Evaluation was conducted using MAE, RMSE, R² metrics, as well as recommendation metrics such as Precision@5, Recall@5, and Mean Reciprocal Rank (MRR). Results show that this integrated model achieved an R² of 0.7239 and an MAE of 1.0537 days, as well as a Precision@5 of 0.9636. This integration proves effective in improving prediction accuracy and recommendation relevance and contributes to the development of AI-based intelligent systems in the accommodation domain.
Keywords
Boarding House Booking System; Hybrid Recommendation System; Machine Learning; Random Forest Regression; Stay Duration Prediction
How to Cite

Mufti Ari Bianto, et al. (2025). Integrasi Metode Hybrid Recommendation dan Random Forest Regression untuk Optimasi Prediksi Durasi Menginap pada Sistem Pemesanan Kos Berbasis Web . Jurnal Riset Rumpun Ilmu Teknik, 4(3). https://doi.org/10.55606/jurritek.v4i3.6591

Mufti Ari Bianto; Hanif Azhar Ramadhan; Ardian Hudi Ramadhani; Tsalits Wildan Hamid, "Integrasi Metode Hybrid Recommendation dan Random Forest Regression untuk Optimasi Prediksi Durasi Menginap pada Sistem Pemesanan Kos Berbasis Web ," Jurnal Riset Rumpun Ilmu Teknik, vol. 4, no. 3, 2025.

Mufti Ari Bianto; Hanif Azhar Ramadhan; Ardian Hudi Ramadhani; Tsalits Wildan Hamid. "Integrasi Metode Hybrid Recommendation dan Random Forest Regression untuk Optimasi Prediksi Durasi Menginap pada Sistem Pemesanan Kos Berbasis Web ." Jurnal Riset Rumpun Ilmu Teknik, vol. 4, no. 3, 2025.

Mufti Ari Bianto; Hanif Azhar Ramadhan; Ardian Hudi Ramadhani; Tsalits Wildan Hamid. "Integrasi Metode Hybrid Recommendation dan Random Forest Regression untuk Optimasi Prediksi Durasi Menginap pada Sistem Pemesanan Kos Berbasis Web ." Jurnal Riset Rumpun Ilmu Teknik 4, no. 3 (2025).

Mufti Ari Bianto, et al. (2025) 'Integrasi Metode Hybrid Recommendation dan Random Forest Regression untuk Optimasi Prediksi Durasi Menginap pada Sistem Pemesanan Kos Berbasis Web ', Jurnal Riset Rumpun Ilmu Teknik, 4(3). doi: 10.55606/jurritek.v4i3.6591.

Mufti Ari Bianto; Hanif Azhar Ramadhan; Ardian Hudi Ramadhani; Tsalits Wildan Hamid. Integrasi Metode Hybrid Recommendation dan Random Forest Regression untuk Optimasi Prediksi Durasi Menginap pada Sistem Pemesanan Kos Berbasis Web . Jurnal Riset Rumpun Ilmu Teknik. 2025;4(3).

Artikel Terkait

Analisa Pengaruh Variasi Temperatur dan Holding Time pada Proses Pack Carburizing Baja ASTM A36 Terhadap Kekerasan, Struktur Mikro dan Laju Korosi

Muhammad Akmaluddin Burhani; Edi Santoso

Eksperimen Pengaruh Variasi Diameter Nozzle Injektor dan Tekanan Injeksi Terhadap Efisiensi Konsumsi Bahan Bakar Mesin Diesel

Aditya Kris Samudera; Alfat Sulistiya Nugraha; Ninik Martini

Strategi Pengembangan Ekowisata Berbasis Komunitas di Kawasan Kampung Adat: Analisis SWOT pada Pantai Ciberi, Kota Jayapura

Yulius Alan Hartanto; Irja Tobawan Simbiak; Lazarus Ramandey

Analisis Pengaruh Parameter Pemotongan terhadap Kekasaran Permukaan pada Proses Turning Baja AISI 1045

Aldy Rachman; Ahmad Maulana; ⁠Dani Irawan

Analisis Perhitungan Volume Beton Metode Konvensional dan BIM Autodesk Revit pada Proyek Jembatan Tipe Lengkung terhadap Efektivitas Biaya

Alkhansa Auliya Dzakiyyah; Lusiana Lusiana; Rafie Rafie

Identifikasi Karakteristik Neo Vernakular Pada Fasad Bangunan Kantor DPRD Sumut

Fransiskus Sanderwin Gea; Dara Wisdianti
Tren Sitasi Jurnal