p-Index From 2021 - 2026
8.433
P-Index
This Author published in this journals
All Journal Infotech Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) IJIS - Indonesian Journal On Information System JATI (Jurnal Mahasiswa Teknik Informatika) BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Advanced in Information and Industrial Technology (JAIIT) Jurnal Teknik Informatika (JUTIF) Jurnal Mandala Pengabdian Masyarakat JINAV: Journal of Information and Visualization Jurnal Sosial dan Teknologi International Journal of Engagement and Empowerment (IJE2) ARRUS Journal of Engineering and Technology Jurnal Ekonomi JURNAL ILMIAH GLOBAL EDUCATION Conten : Computer and Network Technology International Journal of Multidisciplinary Research and Literature (IJOMRAL) Batara Wisnu : Indonesian Journal of Community Services PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Sistem Informasi dan Teknologi (SINTEK) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Buletin Ilmiah Informatika Teknologi Journal of Artificial Intelligence and Digital Business Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Indonesian Research Journal on Education Innovative: Journal Of Social Science Research Indonesian Journal of Thousand Literacies Jurnal Ilmiah Sistem Informasi International Research of Multidisciplinary Analysis Jurnal Satya Informatika Jurnal Ilmiah Informatika dan Ilmu Komputer Jurnal Ilmiah Mahasiswa Teknik Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer WINDRADI: Jurnal Pengabdian Masyarakat Sintek Kuwera Pustabiblia: Journal of Library and Information Science
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JURNAL ILMIAH GLOBAL EDUCATION

Comparative Analysis of Multiple – Linear Regression Algorithm with Random Forest Regression for Prediction of House Plot Prices Permana, Basuki Rakhim Setya; Auliana, Sigit; Aryono, Gagah Dwiki Putra
Jurnal Ilmiah Global Education Vol. 5 No. 2 (2024): JURNAL ILMIAH GLOBAL EDUCATION, Volume 5 Nomor 2, Juni 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v5i2.2794

Abstract

Humans basically have a basic need to have a place to live, which can be a house or shelter. Along with the rapid population growth in Indonesia, which continues to increase every year, many people do not have or have a decent place to live. Therefore, careful planning is needed so that every family can have a decent home. One very important aspect in planning investment in the form of property is predicting future house prices. One approach that can be used is to use a Random Forest and Multiple Linear Regression algorithm, which is an algorithm from Machine Learning. There are several factors that can influence the price of a house, including land area, building area, number of bedrooms, bathrooms and garage. In this research, multiple linear regression and random forest regression methods were chosen. The aim of this research is to find the best prediction results between the two methods. To achieve accurate predictions, research was carried out repeatedly by dividing the dataset into 80% for training and 20% for testing. The research results show that the random forest regression algorithm provides the best results, with an accuracy of 81.6% .
Co-Authors Aisah, Anggi Nur Alandito, Alhdias Ali Rohman Ali Rohman Aminuyati Andriani, Fipi Anggraini, Seftian April Laksana Ardiyansah Ardiyansah Ariansyah, Irgi Arief, Rahadian Arrasit, Dio Falla Arta Rusidarma Putra Asep Rahmatullah Asep Safaatulloh Asih Setyo rini Auliana, Sigit Azis, Marisa Azizah, Rizqia Nur Bate’e, Welni Desrinayanti Dedy Khaerudin Eka Yuliana Elfrida Ratnawati Eris Dwi Purnama Fajri Fatullah Fatullah, Fajri Firmansyah, Oki Gagah Dwiki Putra Aryono Gelard Untirtha Pratama Gelard Untitha Pratama Hadi Ramadhan, Muhamad Hamdan Hamdan Hamdan Hamdan Hermanto, Dadang Iis Nurasiah Jalis, Jalis Kalsum, Ummy Katla Novriyani Kayla Maharani Kenedi, Kenedi Kustianto, Prahmono Lesmana, Tedi Maman Masyhuri Masyhuri, Maman Masyuri, Umar Maulana, Rafli Maulida, Fadia Syifa Mawazi, Mawazi Meilani, Putri Miftahul Huda Mochammad Darif Mochammad Darip Mulyawansyah, Ahmad Andika Munawir, Ahmad Naufallinho, Muchamad Khairan Nitami, Shella Nopithasari, Lola Nurfitrianda, Deden Oula, Kiki Nabilah Pusvita Panulisan, Bambang Setyo Praditya, Dinar Okto Pratama, Gelard Untirtha Puput Julyanti Purnama, Eris Dwi Putra, Abraham Refi Mulyadi Restiana, Anti Rifky Laghoza Andrea Rizki Ramadhan Rohman, Itqu Romli, Ombi Roy, Sujan Chandra Rudianto Rudianto Rudianto Sabilillah, Sahrul Safitri, Esti Sapaatullah, Asep Saputro, Ahmad Dwi Sayyidah, Arnaeta Aprilia Sumarna, Maman Sunardi Sunardi Sunardi Sunardi Umar Mansyuri Ummy Kalsum Untirtha Pratama, Gelard Wahyu Cahyadi Wiwien Suzanti Yansyah, Mardi Yolla Sukma Handayani Zaman, Habib Nur