Analisis Preferensi Konsumen dan Profil Pembeli di Industri Otomotif: Studi Kasus Pembelian Kendaraan di Wilayah Jabodetabek

This research aims to analyze consumer preferences for car models in the Jabodetabek area using K-Means Clustering technique with the assistance of SPSS program. Data were collected through distributed questionnaires covering demographic information, car usage habits, selection criteria, and preferences for car features. The questionnaires were distributed online to reach various segments of the population aged 23 and above who have an interest or intention to purchase a car. The collected data were analyzed using SPSS to identify consumer groups with similar characteristics. The analysis results show that the seventh cluster is the main target of the automotive four-wheel vehicle market in Jabodetabek, formed from seven clusters of several consumer segments with different preferences for car models and features. These segments can be used by the automotive industry to develop more effective and targeted marketing strategies. The research findings provide valuable insights into consumer preferences in Jabodetabek, which can help car manufacturers and dealers improve customer satisfaction and loyalty. Additionally, the results of this research can also serve as a reference for further research in the fields of marketing and consumer data analysis.

Authors

Institutions

Publication Details

Journal
AKADEMIK Jurnal Mahasiswa Ekonomi & Bisnis
Published
2024-09-01
DOI
https://doi.org/10.37481/jmeb.v4i3.870
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analisis Preferensi Konsumen dan Profil Pembeli di Industri Otomotif: Studi Kasus Pembelian Kendaraan di Wilayah Jabodetabek

Jerry Heikal, Budi Setiawan, Angela Candra Puspita, Cita Ayu
AKADEMIK Jurnal Mahasiswa Ekonomi & Bisnis
Management and Optimization Techniques
article

Analisis Preferensi Konsumen dan Profil Pembeli di Industri Otomotif: Studi Kasus Pembelian Kendaraan di Wilayah Jabodetabek

Jerry Heikal, Budi Setiawan, Angela Candra Puspita, Cita Ayu
article en

Abstract

This research aims to analyze consumer preferences for car models in the Jabodetabek area using K-Means Clustering technique with the assistance of SPSS program. Data were collected through distributed questionnaires covering demographic information, car usage habits, selection criteria, and preferences for car features. The questionnaires were distributed online to reach various segments of the population aged 23 and above who have an interest or intention to purchase a car. The collected data were analyzed using SPSS to identify consumer groups with similar characteristics. The analysis results show that the seventh cluster is the main target of the automotive four-wheel vehicle market in Jabodetabek, formed from seven clusters of several consumer segments with different preferences for car models and features. These segments can be used by the automotive industry to develop more effective and targeted marketing strategies. The research findings provide valuable insights into consumer preferences in Jabodetabek, which can help car manufacturers and dealers improve customer satisfaction and loyalty. Additionally, the results of this research can also serve as a reference for further research in the fields of marketing and consumer data analysis.

AKADEMIK Jurnal Mahasiswa Ekonomi & BisnisVol. 4(3)
Bakrie University (ID)
Openalex Percentile: Top 73%
Management and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.