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All Journal Jurnal Promosi Pendidikan Ekonomi E-Dimas: Jurnal Pengabdian kepada Masyarakat JOURNAL OF APPLIED INFORMATICS AND COMPUTING INTECOMS: Journal of Information Technology and Computer Science Prosiding National Conference for Community Service Project Journal of Economics and Business UBS SOCIAL CLINICAL PHARMACY INDONESIA JOURNAL Jurnal Farmasi Kryonaut
Jerry, Jerry
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Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Health Professions Immunology & microbiology Medicine & Pharmacology Public Health Social Sciences

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Rental Price Prediction of Boarding Houses in Batam City Using Linear Regression and Random Forest Algorithms Jerry, Jerry; Christian, Yefta; Herman, Herman
Journal of Applied Informatics and Computing Vol 7 No 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.6732

Abstract

Boarding houses, commonly known as "kost," are residential places typically rented by individuals, serving a function similar to hotels, but with more affordable pricing. With the proliferation of boarding house businesses, residents and newcomers in Batam city face challenges in selecting suitable accommodation based on both price and amenities. Leveraging machine learning, a branch of artificial intelligence (AI), and incorporating various algorithms, a system can be developed to predict the rental prices of boarding houses. This helps individuals make informed decisions regarding the suitability of a boarding house based on their preferences and budget. The algorithms utilized in this study are Linear Regression and Random Forest. The modeling process resulted in R2 Scores, with Linear Regression achieving a score of 64%, while Random Forest outperformed with an impressive 99% R2 Score. Due to the higher R2 Score of Random Forest, this model was selected for the development of a website using the Scrum framework. The outcome of this research is a predictive pricing website for boarding houses, offering a valuable tool for residents and visitors in Batam when seeking to rent or lease a boarding house.
Co-Authors Afrizal, Wahyu Nur Aisyah, Rizka Aldianysah, Aldianysah Arif Hidayat Baniu, Ahmad Sahlan Christian, Yefta Dewi, Luh Yesi Angga Natalia Eddy, Endah Purnama Sari Feriady Darma Saputra, Osgood Hardiana, Iyan Herman Joni Joni Juhaeni, Najmi Mutia Maria Natalia, Maria Melvin, Melvin Muhammad Ardiansyah Ong, Jovi Panduwiguna, Ivans Putra, Ari Permana Qadri, Rizni Aulia Renaldi, Fransiskus Samuel Saputra, Osgood Feriady Darma Silaban, Barnabas Tridig Silvia Anggraeni Sinta Setiana Sophieana, Glorya Sulistiawati, Febi Tanison, Nindy Vanders, William Verani Carolina Yodiputra, Jason Yunaidy, Boy Zai, Immanuel