Implementasi Machine Learning Untuk Prediksi Harga Laptop Menggunakan Algoritma Regresi Linear Berganda
Abstract
This article discusses the implementation of machine learning using multiple linear regression algorithms to predict laptop prices. The main objective of this research is to design an appropriate predictive model based on various features such as technical specifications and laptop brands. The research stages include literature study, collection of relevant datasets, pre-processing or data cleaning, Exploratory Data Analysis, Feature Engineering, data splitting, model building, and website development. The results show that the proposed model is able to provide price predictions with a high level of accuracy, measured using evaluation metrics such as Mean Absolute Error (MAE) which produces a value of 0.18 and R-squared (R²) which has a value of 0.68. Implementation was done by integrating Jupyter Notebook, Visual Studio Code (VS Code) and Streamlit for interactive web application development. The conclusion of this research is that the multiple linear regression algorithm is effective in predicting laptop prices, and can be used as a tool in making business decisions and pricing strategies.
References
M. R. A. Annas, “PREDIKSI HARGA LAPTOP DENGAN METODE SINGLE EXPONENTIAL SMOOTHING BERBASIS WEB,” eprints.unisla.ac.id, Feb. 02, 2021. http://eprints.unisla.ac.id/53/ (accessed May 26, 2024).
S. N. Wardani and N. Nurmalitasari, “Penerapan Regresi Linier Berganda Untuk Memprediksi Harga Laptop Dengan Menggunakan Software Python,” Prosiding Seminar Nasional Teknologi Informasi dan Bisnis, pp. 377–382, Jul. 2023, Accessed: May 26, 2024. [Online]. Available: http://ojs.udb.ac.id/index.php/Senatib/article/view/3211
S. R. Harahap, “Faktor-faktor yang memengaruhi keputusan konsumen dalam pembelian laptop Merek Asus : studi kasus pada Mahasiswa Fakultas Ekonomi dan Bisnis Islam IAIN Padangsidimpuan.,” etd.uinsyahada.ac.id, Feb. 14, 2020. https://etd.uinsyahada.ac.id/3537/ (accessed May 29, 2024).
T. Adianto, Y. R. Nasution, and A. H. Lubis, “Implementasi Data Mining untuk Prediksi Penjualan Produk Mayora Menggunakan Metode FP-Growth,” repository.uinsu.ac.id, 2023. http://repository.uinsu.ac.id/20362 (accessed May 29, 2024).
E. Hasibuan and A. Karim, "Implementasi Machine Learning untuk Prediksi Harga Mobil Bekas dengan Algoritma Regresi Linear Berbasis Web," Jurnal Ilmiah KOMPUTASI, vol. XXI(4), pp. 595-602, 2022.
Ibnu Daqiqil Id, MACHINE LEARNING : Teori, Studi Kasus dan Implementasi Menggunakan Python. Unri Press.
R. P. Sari, “Apa itu Machine Learning? Pengertian dan Contohnya,” Cloud Computing Indonesia. http://cloudcomputing.id/pengetahuan-dasar/apa-itu-machine-learning (accessed May 26, 2024).
W. Bhirawa, “Proses Pengolahan Data Dari Model Persamaan Regresi Dengan Menggunakan Statistical Product and Service Solution (SPSS). ”Available:
https://journal.universitassuryadarma.ac.id/index.php/jmm/article/viewFile/528/494
D. A. Rhamadhani and E. E. D. Saputra, “Analisa Model Machine Learning dalam Memprediksi Laju Produksi Sumur Migas 15/9-F-14H,” Journal of Sustainable Energy Development, vol. 1, no. 1, pp. 48–55, May 2023, Accessed: May 30, 2024. [Online]. Available: https://journal.unej.ac.id/JSED/article/view/307
Jesi Pebralia, “Analisis Curah Hujan Menggunakan Machine Learning Metode Regresi Linier Berganda Berbasis Python dan Jupyter Notebook,” JIFP (Jurnal Ilmu Fisika dan Pembelajarannya)/Jurnal Ilmu Fisika dan Pembelajarannya (JIFP), vol. 6, no. 2, pp. 23–30, Dec. 2022, doi: https://doi.org/10.19109/jifp.v6i2.13958.
Muhammad Sholeh, Suraya Suraya, and D. Andayati, “Machine Linear untuk Analisis Regresi Linier Biaya Asuransi Kesehatan dengan Menggunakan Python Jupyter Notebook,” JEPIN (Jurnal Edukasi dan Penelitian Informatika), vol. 8, no. 1, pp. 20–20, Apr. 2022, doi: https://doi.org/10.26418/jp.v8i1.48822.
A. Saiful, “Prediksi Harga Rumah Menggunakan Web Scrapping dan Machine Learning Dengan Algoritma Linear Regression,” JATISI (Jurnal Teknik Informatika dan Sistem Informasi), vol. 8, no. 1, pp. 41–50, Mar. 2021, doi: https://doi.org/10.35957/jatisi.v8i1.701.
V. T. Sapanji, S. Lestari, M. and R. Samihardjo, "Prediksi Indeks Bursa Efek Indonesia 2023 Pendekatan ARIMA, Machine Learning dengan R Programming," Junal Manajemen Informatika (JAMIKA), vol. XIII, no. 2, pp. 163-177, 2023.
W. Budiharto, Machine Learning dan Computational Intelligence, Yogyakarta: Penerbit ANDI, 2016.
M. F. Febrianto, “Gaming Laptop Dataset” Kaggle, 2023. Available: https://www.kaggle.com/datasets/faturfebr/gaming-laptop-dataset [Accessed June 25,2024]
M. L. Mu'tashim, S. A. Damayanti, H. N. Zaki, T. Muhayat and R. Wirawan, "Analisis Prediksi Harga Rumah Sesuai Spesifikasi Menggunakan Multiple Linear Regression," JURNAL INFORMATIK, vol. XVII(3), pp. 238-245, 2021.
V. Advani, “34 Open-Source Python Libraries You Should Know About,” GreatLearning, Sep. 11, 2020. https://www.mygreatlearning.com/blog/open-source-python-libraries/
“Data Cleaning in Machine Learning: Steps & Process [2022],” www.v7labs.com. https://www.v7labs.com/blog/data-cleaning-guide
M. Uddin, J. Lee, S. Rizvi, and S. Hamada, “Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes,” Applied Sciences, vol. VIII, no. 4, p. 646, Apr. 2018, doi: https://doi.org/10.3390/app8040646.
Abu Tholib, Implementasi Algoritma Machine Learning Berbasis Web dengan Framework Streamlit. Pustaka Nurja.
R. B. Widodo, Machine Learning Metode k-Nearest Neighbors Klasifikasi Angka Bahasa Isyarat, Malang: Media Nusa Creative, 2022.
A. D. Siburian et al., “Laptop Price Prediction with Machine Learning Using Regression Algorithm,” Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA), vol. VI, no. 1, pp. 87–91, Sep. 2022, doi: https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2850.
S. Saadah and H. Salsabila, "Prediksi Harga Bitcoin Menggunakan," Jurnal Politeknik Caltex Riau, vol. VII, no. 1, pp. 24-32, 2021.
V. Atlantic, E. Sulistianingsih and H. Perdana, "Gradient Boosting Machine Pada Klasifikasi Kelulusan Mahasiswa," Buletin Ilmiah Math. Stat. dan Terapannya (Bimaster), vol. 12, no. 2, pp. 165-174, 2024.
