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All Journal Jurnal Computech & Bisnis (e-Journal) International Journal of Quantitative Research and Modeling Jurnal Pengabdian Masyarakat Tapis Berseri Nuansa Informatika Jurnal Bhakti Karya dan Inovatif Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Akbar, Imannudin
Sistem Informasi, Fakultas Teknologi Dan Informatika, Universitas Informatika Dan Bisnis Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Library & Information Science Physics Social Sciences Other

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A Data-Driven Approach to Comparative Evaluation of Regression Models for Accurate House Price Prediction: Pendekatan Berbasis Data untuk Evaluasi Komparatif Model Regresi untuk Prediksi Harga Rumah yang Akurat Tiara Permata Hati; Budiman Budiman; Imannudin Akbar; Nur Alamsyah
NUANSA INFORMATIKA Vol. 19 No. 2 (2025): Nuansa Informatika 19.2 Juli 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i2.411

Abstract

This study aims to develop and evaluate a property price prediction model in Bandung by applying machine learning (ML) algorithms. The need for more accurate property price predictions is increasing due to fluctuations in the property market. This study analyzes property characteristics, including the number of bedrooms, bathrooms, land area, building area, and location, as well as their impact on house prices. The study evaluates four regression algorithms, including linear regression, K-Nearest Neighbors (KNN), Random Forest, and XGBoost. Finally, this study proposes price_per_m2 and building_land_ratio as new features recommended for improvement in accuracy. The bottleneck method is derived from the data collection area of the Rumah123.com website, encompassing data preprocessing and data exploration. The following metrics will be used to evaluate each model: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared (R²). Based on our study, we conclude that both Random Forest Regression and XGBoost Regression achieve the highest accuracy, with R² values of 0.9941 and 0.9955, respectively, after adjustment. Conversely, Linear Regression and KNN Regression have the lowest accuracy, with KNN Regression being the least accurate. The primary contribution of this study is the development of a more accurate house price prediction model that can be applied in cities with similar market characteristics. These findings provide practical insights for property developers and buyers when making investment decisions.
Data Mining Implementation Using Naïve Bayes Algorithm and Decision Tree J48 In Determining Concentration Selection Budiman Budiman; Reni Nursyanti; R Yadi Rakhman Alamsyah; Imannudin Akbar
International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i3.72

Abstract

Computerization of society has substantially improved the ability to generate and collect data from a variety of sources. A large amount of data has flooded almost every aspect of people's lives. AMIK HASS Bandung has an Informatic Management Study Program consisting of three areas of concentration that can be selected by students in the fourth semester including Computerized Accounting, Computer Administration, and Multimedia. The determination of concentration selection should be precise based on past data, so the academic section must have a pattern or rule to predict concentration selection. In this work, the data mining techniques were using Naive Bayes and Decision Tree J48 using WEKA tools. The data set used in this study was 111 with a split test percentage mode of 75% used as training data as the model formation and 25% as test data to be tested against both models that had been established. The highest accuracy result obtained on Naive Bayes which is obtaining a 71.4% score consisting of 20 instances that were properly clarified from 28 training data. While Decision Tree J48 has a lower accuracy of 64.3% consisting of 18 instances that are properly clarified from 28 training data. In Decision Tree J48 there are 4 patterns or rules formed to determine concentration selection so that the academic section can assist students in determining concentration selection.
Membangun Infrastruktur Jaringan Bagi Siswa SMKN 13 Bandung Imannudin Akbar; Arif Bakti Nugraha; R.Yadi Rakhman; Erlang Anggara Widjaksono
Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Vol. 5 No. 1 (2026): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edition April)
Publisher : Pusat Studi Teknologi Informasi Fakultas Ilmu Komputer Universitas Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jpmtb.v5i1.179

Abstract

This Community Service Program (PkM) aims to equip students of SMKN 13 Bandung with practical skills in Debian server administration. The activity was conducted through an intensive workshop emphasizing hands-on practice, aimed at enhancing students' abilities to build a network infrastructure based on Debian 12. This activity not only provided theoretical understanding but also prepared students for the Competency Skills Test (UKK) and challenges in the workforce. Through this program, students gained skills in configuring network services such as DNS, DHCP, Web Server, and Database Server using the Command Line Interface (CLI). Evaluations showed significant improvement in students' knowledge and skills, as well as their readiness to face exams and enter the workforce. This program is expected to enhance the quality of graduates from SMKN 13 Bandung, meeting the demands of the information technology industry.
Co-Authors Acep Hendra Alif Januantara Prima Anggraeni, Hilma Ari Rizki Fauzi Arif Bakti Nugraha Arnold Ropen Sinaga Berly Bagoes Daniswara Budiman Dani Setiawan Daniswara, Berly Bagoes Dena Susanti Erlang Anggara Widjaksono Fikri Muhamad Fahmi Habibi, Chairul Himmaniah, Syahira Putri Lestari, Gita Ayu Marwondo Niqotaini, Zatin Niswah Kaifa Nazahah Nugraha Nugraha Nugraha, Arif Bakti Nur Alamsyah Nursyanti, Reni R. Yadi Rakhman Alamsyah R.Yadi Rakhman Ramadhani, Muhammad Wahyu Reni Nursyanti Setiana, Elia Setiana, Elia Setiana Sinaga, Arnold Ropen Sinaga Syahira Putri Himmaniah Taufik Hidayah Tiara Permata Hati Titan Parama Yoga Venia Restreva Danestiara