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All Journal Jurnal Sains dan Teknologi Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL INSTEK (Informatika Sains dan Teknologi) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) KOMPUTEK Jurnal Equity Technologia: Jurnal Ilmiah Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Prosiding National Conference for Community Service Project Cakrawala Repositori Imwi Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) INSERT: Information System and Emerging Technology Journal Telcomatics KLIK: Kajian Ilmiah Informatika dan Komputer Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES) Conference on Community Engagement Project (Concept) Conference on Business, Social Sciences and Technology (CoNeScINTech) Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan SmartComp Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer INOVTEK Polbeng - Seri Informatika Equity
Christian, Yefta
Universitas Internasional Batam
Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Social Sciences Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

 1 
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.
Analisis Perbandingan Algoritma Untuk Prediksi Performa Akademik Mahasiswa Pada Pembelajaran Daring Herman, Herman; Christian, Yefta
Journal of Applied Informatics and Computing Vol. 6 No. 2 (2022): December 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i2.4854

Abstract

Student academic performance is one of the important factors for student graduation. Therefore, many studies have been conducted in the field of education to identify factors that affect student performance. This research focuses on academic performance in online learning conditions by studying cases at XYZ university. Data were collected using Machine Learning techniques with the application of the Distributed Random Forest model, Naïve Bayes, Generalized Linear Model, and Gradient Boosting Machine algorithms. The results of this study indicate that the Distributed Random Forest and Gradient Boosting Machine models have an average accuracy of 99.83%. Researchers found variables that affect student learning performance, especially online learning, are final exam scores, midterm scores, attendance, assignment scores, amount of material given, number of assignments given, and number of clicks on material. From these findings, the researcher recommends that to improve the performance of the next learning, the implementation of learning should focus on improving the implementation of the Final Exams and the material on the learning platform
Co-Authors Agus Yanto Alvin Matthew Pratama Amir Amir Amir Amir Andik Yulianto Arbiwijaya Kwek Brohns Jaffrey Calvin Wijaya Capricornness, Vincent Cen, Andrew Chris Tan Chris Tan Cindy Juliandry Claudia Theophilia Denissa Denissa Denny Alfath Dewi A. Chandra Edi Yanto Elvinlee Eric Eric Eric Eric Pranata Eric, Eric Erline, Meiliverani Estrada, Yuki Fauzi, Muhammad Al Felix Filbert Ferdinand William Fiona Vinelia Fionna Quinn Frenda Ang Germent Basri Gracella Tandiono Gumolung, Randy Gumolung, Randy Heskyel Hannuella, Albert Ricardo Hansvirgo Hansvirgo Hansvirgo Hansvirgo, Hansvirgo Hendi Sama Hengky Hengky Heri Heri Herman Herman Herman Herman Herman Huang, Suryani Jacky Jacky Janata, Adit Afandi Jeny Jeny Jerry Jerry Jerry, Jerry Jeslyn Teo Jesselyn Jesselyn Jevin Leon Jimmy Jimmy Joana Stefhanie Saliama Jonathan Jonathan Julia Christini Katherine Oktaviani Yap Rui Qi Katherine Oktaviani Yap Rui Qi Kelvin Aryesryo Kelvin Kelvin Kelvin Kelvin Kevin Kevin Kurnia, Ahmad Dhani Kurt Juriant Tan Lenny Julyanti Lusiana Lusiana Lyawati, Mercy Marcellino Marcellino Marvin Christian Meiliverani Erline Michael Michael Michelle Febri Soegianto Moh Fariq Aziz Muhammad Jufri Muhammad Yusuf Zhafran Mungkap Mangapul Siahaan Musfiza, Efelito Hayat Nanda Silvia Sovitasari Nicholas Jeonanto Nicky adi putra Nico Dwi Putra Olwin Olwin Pratama, Sendi Ari Putra Agung Winata Putra Agung Winata Raden Mohamad Herdian Bhakti Rara Tri Kencana Ricardo Hannuella, Albert Ricky Rickena Exendy Ricky Ricky Ridho Kurnia Rizki Alamsyah Robin Robin Ronny Triputra Ronny Triputra. AM Sama, Hendi Sandy Tio Sani Kurnia Santo Tjiam Sonia, Monica Stevantinus Stevantinus Steven Steven Suryani Huang Suwarno Suwarno Liang Suwarno Suwarno Tina Rani Tony Jack Tan Ding Tony Wibowo, Tony Utari Afnesia Utomo, Kevin Saputra Valencia Valencia Vani Andini Veithzal Rivai Zainal Vendryan Vendryan Vigho raziansyah Vincent Gonawan Vincent Wijaya Vincent Wijaya Vira Vira Vivy Valentine Wibowo, Tony Wijaya, Vincent Winardo, Jesen Wiwik Handayani Yanto Yanto Yoputra, Keaton Yulianto, Andik Yusuf Yusuf Yusuf