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All Journal AMMA : Jurnal Pengabdian Masyarakat Linier: Literatur Informatika dan Komputer
Willy Prihartono
STMIK IKMI
Humanities Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing

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Analisis Faktor Penentu Harga Mobil Bekas Menggunakan Model Random Forest Regressor serta Perbandingan Linear Sabrina Khoirunnisa; Nining Rahaninsih; Irfan Ali; Willy Prihartono
LINIER: Literatur Informatika dan Komputer Vol 2, No 4 (2025)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/linier.v2i4.3346

Abstract

Penentuan harga mobil bekas merupakan proses yang kompleks karena dipengaruhi oleh berbagai faktor seperti jarak tempuh, usia kendaraan, merek, jenis bahan bakar, dan riwayat kerusakan. Metode konvensional sering kali menghasilkan penilaian yang subjektif dan kurang akurat, sehingga diperlukan pendekatan berbasis data untuk meningkatkan objektivitas dan konsistensi estimasi harga. Penelitian ini bertujuan untuk membangun model prediksi harga mobil bekas menggunakan algoritma Random Forest Regressor serta membandingkan performanya dengan Multiple Linear Regression sebagai baseline. Dataset yang digunakan berasal dari platform Kaggle dan mencakup 4.009 data kendaraan yang telah melalui proses data cleaning, rekayasa fitur, dan penghapusan outlier. Metode penelitian meliputi preprocessing data, pelatihan model, hyperparameter tuning, serta evaluasi menggunakan metrik R², MAE, MSE, dan RMSE. Hipotesis penelitian menyatakan bahwa Random Forest memiliki performa prediktif yang lebih baik dibandingkan model linier serta mampu mengidentifikasi fitur yang paling berpengaruh terhadap harga kendaraan. Hasil eksperimen menunjukkan bahwa Random Forest R² = 0.6827, lebih tinggi dibandingkan Multiple Linear Regression dengan R² = 0.5673. Analisis feature importance mengungkapkan bahwa mileage dan usia kendaraan merupakan faktor dominan dalam pembentukan harga. Dengan demikian, penelitian ini menyimpulkan bahwa Random Forest merupakan pendekatan yang lebih akurat dan stabil untuk prediksi harga mobil bekas serta berpotensi diimplementasikan dalam sistem valuasi otomotif berbasis data.
PKM : Pelatihan Inovasi Produk Kripik Emping Kota Cirebon Willy Prihartono; Ade Irma Purnamasari; Agus Bahtiar; Richardus Sakarias Berek; Niko Ramadhan
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 5 : Juni (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In an effort to enhance the quality and competitiveness of emping chips in Cirebon City, this Community Service Program (PKM) focuses on product innovation training. Introduction: Cirebon City is renowned for its emping chips, a regional specialty. However, the primary challenge lies in the lack of innovation in flavor variety and packaging, making it difficult for these products to compete in broader markets. The aim of this activity is to provide knowledge and skills to emping chip entrepreneurs to create innovative product variants and improve packaging quality to be more appealing to consumers. Methods: The implementation methods include organizing workshops and practical training covering techniques for flavor innovation, the use of safe additional ingredients, and modern packaging strategies. Additionally, participants received material on digital marketing strategies to expand market reach. Results: The results of this activity indicate a significant improvement in participants' abilities to create new flavored emping chips and more attractive packaging. Participants also started utilizing digital platforms to promote and sell their products, directly impacting increased sales and market penetration. This program successfully delivered positive impacts on the local economy and enhanced the competitiveness of Cirebon City's emping chips.
Co-Authors Ade Irma Purnamasari Agus Bahtiar Irfan Ali Niko Ramadhan Nining Rahaninsih Richardus Sakarias Berek Sabrina Khoirunnisa