Laporan Kerja Praktek 8 Juli - 16 Agustus 2024 di Kantor Pelayanan Kekayaan Negara dan Lelang Bogor

Syah Alam, Aldi and Dellafathi Utami, Vania (2024) Laporan Kerja Praktek 8 Juli - 16 Agustus 2024 di Kantor Pelayanan Kekayaan Negara dan Lelang Bogor. Project Report. [s.n.], [s.l.]. (Unpublished)

Text 5006211029_5006211075-Project_Report.pdf - Accepted Version Download (4MB)

Abstract

Penelitian ini menggunakan model Random Forest Regression untuk memprediksi nilai sewa properti berdasarkan variabel seperti luas tanah, luas bangunan, kondisi bangunan, fasilitas, dan lahan parkir, namun hasil evaluasi menunjukkan akurasi yang masih rendah dengan nilai R-squared negatif dan MSE tinggi, yang mengindikasikan perlunya penambahan fitur relevan serta optimasi model lebih lanjut agar prediksi harga sewa lebih akurat dan dapat digunakan sebagai acuan pasar.
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This study employs the Random Forest Regression model to predict property rental values based on variables such as land area, building size, building condition, facilities, and parking space, but the evaluation results indicate low accuracy with a negative R-squared and high MSE, suggesting the need for additional relevant features and further model optimization to improve rental price predictions and make them more market-reliable.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Harga, Sewa Bangunan, Sewa Tanah, Random Forest, Regresi, Price, Building Rent, Land Rent, Random Forest, Regression.
Subjects:	H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis. H Social Sciences > HD Industries. Land use. Labor > HD1387 Valuation H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Actuaria > 94203-(S1) Undergraduate Thesis
Depositing User:	Aldi Syah Alam
Date Deposited:	28 Jul 2025 08:21
Last Modified:	28 Jul 2025 08:21
URI:	http://repository.its.ac.id/id/eprint/121519

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