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All Journal KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika
Maulana, Naufal Duta
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Computer Science & IT Other

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Prediksi Harga Rumah Di Jabodetabek Menggunakan Metode Artificial Neural Network Hafizh, Muhammad Abdullah; Subairi, Subairi; Libriawan, Raditya Dimas; Maulana, Naufal Duta; Rizki, Agung Mustika
KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Vol 5, No 2 (2024)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.kernel.2024.v5i2.6806

Abstract

A house is a fundamental need for humans. Determining house prices is a crucial aspect of property transactions, especially in major areas like Jabodetabek, where property prices are consistently rising. Prediction is a suitable tool to assist in decision-making for determining house prices. There are numerous methods that can be applied for prediction; the author employs the Artificial Neural Network (ANN) method. ANN is known as a highly flexible predictive algorithm capable of accommodating various input features. The results of using the ANN method for predicting house prices in the Jabodetabek area show a Mean Absolute Error (MAE) of 0.209, Mean Squared Error (MSE) of 0.159, and Mean Absolute Percentage Error (MAPE) of 4.951.
Co-Authors Agung Mustika Rizki, Agung Mustika Hafizh, Muhammad Abdullah Libriawan, Raditya Dimas Subairi Subairi