Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier
The growing demand for affordable transportation has significantly expanded the used car market. This study aims to develop optimal sales strategies by analyzing seller types and vehicle categories through exploratory data analysis and linear regression techniques. Using a cleaned public dataset of over 150,000 used car listings in Germany, key variables such as registration year, mileage, vehicle type, and seller type were examined. Results indicate that individual sellers dominate the market, although dealers set higher and more stable prices. SUVs and limousines typically hold higher market value. The linear regression model achieved an R-squared value of 0.34, suggesting that registration year and mileage account for 34% of the price variance. These findings offer practical insights for stakeholders in the used car business to tailor pricing strategies based on vehicle attributes and seller classification
Daris, et al. (2025). Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier. Jurnal Elektronika dan Komputer, 18(1). https://doi.org/10.51903/dazh6e44
Daris, Iqbal; Muhammad Iqbal Daris Attaqi; Jati Sasongko Wibowo, "Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier," Jurnal Elektronika dan Komputer, vol. 18, no. 1, 2025.
Daris, Iqbal; Muhammad Iqbal Daris Attaqi; Jati Sasongko Wibowo. "Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier." Jurnal Elektronika dan Komputer, vol. 18, no. 1, 2025.
Daris, Iqbal; Muhammad Iqbal Daris Attaqi; Jati Sasongko Wibowo. "Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier." Jurnal Elektronika dan Komputer 18, no. 1 (2025).
Daris, et al. (2025) 'Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier', Jurnal Elektronika dan Komputer, 18(1). doi: 10.51903/dazh6e44.
Daris, Iqbal; Muhammad Iqbal Daris Attaqi; Jati Sasongko Wibowo. Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier. Jurnal Elektronika dan Komputer. 2025;18(1).
Klasifikasi Jenis Bunga Menggunakan Algoritma Convolutional Neural Network (CNN)
Ade Irgi Firdaus; Ade Irgi Firdaus; Dwi Okta Djoas; Riefaldi Diofano Saputra; Indry Anggraeny; Hilda Apriliya Ningsih
Analisis Kinerja Metode Long Short-Term Memory (LSTM) dalam Klasifikasi Sentimen Ulasan Pengguna Shopee
Muhimatul Ifadah; Muhimatul Ifadah; Bambang Irawan
Hybrid Apriori–MST Framework for Revealing the Structural Backbone of Consumer Purchase Patterns
Marta Dinata, Riadi; Kurniawan Atmadja ; Marhaeni Mahaeni; Lely Mustika
Prediksi Harga Saham Menggunakan ARIMA Outlier sebagai Pendekatan Awal Menuju Analisis AI Keuangan
Adam, Cindi; Adam, Cindi; Idhom, Mohammad; Trimono, Trimono
Analisis Performansi Pendekatan Machine Learning Pada Deteksi Penyakit Daun Tanaman Kopi
Purnomo, Rosyana Fitria; Purnomo, Rosyana Fitria; Yodhi Yuniarthe; Hilda Dwi Yunita; Fatimah Fahurian; Ahmad Ikhwan
Rancang Bangun Antena Mikrostrip Patch Triangular Pada Frekuensi 1800 Mhz Sebagai Penguat Jaringan Internet Di Kebun Raya Balikpapan
Nurmeiliana Putri; Maria Ulfah; Fathur Zaini Rachman ; Maria Ulfah