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Segmentasi Pelanggan Menggunakan K-Means Clustering Berdasarkan Data Kepribadian dan Pola Konsumsi Iqbal, Iqbal; Hidayat, Nurul; Gevano, Daiva Paundra; Ilahi, Andhika Putra Restu
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5140

Abstract

In today's competitive business landscape, a deep understanding of customer behavior and preferences is crucial for strategic success. Customer segmentation emerges as a vital approach to identify distinct customer subgroups, enabling personalized and efficient marketing strategies. However, many companies still struggle to achieve this understanding due to suboptimal data utilization and inaccurate manual grouping methods. To address these challenges, this research proposes and implements a data mining approach using the K-Means Clustering algorithm for automated and measurable customer segmentation. Leveraging the "Customer Personality Analysis" dataset from Kaggle, this study aims to uncover hidden patterns in customer demographics (age, income, marital status, number of children) and purchasing behavior (number and frequency of transactions). A comprehensive data pre-processing pipeline, including handling missing values, feature engineering, irrelevant column removal, categorical transformation, and numerical scaling, ensures data quality and readiness. Using the Elbow Method, four optimal clusters were identified: "Balanced Spenders with Teenagers" (Cluster 0), "Budget-Conscious Families" (Cluster 1), "High-Value Engaged Buyers" (Cluster 2), and "Active Mature Buyers" (Cluster 3). Visualization using Principal Component Analysis (PCA) further confirms significant characteristic differences between these segments. Cluster 2, being the most valuable and responsive segment, requires premium marketing strategies, while Cluster 1, the largest segment, demands a value-oriented approach. The results of this segmentation provide deep strategic insights, enabling companies to allocate marketing resources more efficiently, craft more relevant messages, and ultimately enhance customer satisfaction and business profitability. These findings demonstrate the potential of unsupervised learning in enhancing data-driven customer profiling systems in marketing and business informatics.
Pemanfaatan Nasi Basi sebagai Sumber Mikroorganisme Lokal (MOL) di Desa Wlahar Kecamatan Rembang Kabupaten Purbalingga Rastuti, Undri; Zalfaan, Zaidan Naufal; Utami, Mutiara Dwi; Trisnawati, Heni; Shifa, Faadhillah Aliya; Khikmah, Mutiara Nur; Apriliansah, Fajar; Al Majid, Farhan; Puspita, Yunita Dwi; Gevano, Daiva Paundra; Aida, Farha Nur
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 12 (2026): Februari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i12.4125

Abstract

Kegiatan Tim KKN UNSOED 2026 kepada Masyarakat Desa Wlahar ini bertujuan untuk memberikan edukasi kepada masyarakat Desa Wlahar mengenai pengelolaan sampah organik serta mengenalkan peluang ekonomi melalui pembuatan dan pengaplikasian biodekomposer alami dari sisa nasi. Metode yang digunakan adalah pendekatan partisipatif melalui sosialisasi dan pelatihan langsung di lapangan, di mana masyarakat terlibat aktif dalam proses pembuatan mikroorganisme lokal (MOL) menggunakan bahan seperti nasi sisa, air cucian beras, seresah bambu, dan molase. Hasil kegiatan menunjukkan bahwa masyarakat menunjukkan antusiasme tinggi dalam mempraktikkan pembuatan MOL yang ditandai dengan keberhasilan proses fermentasi yang menghasilkan aroma segar seperti tape dan warna cokelat cerah. Penggunaan biodekomposer ini terbukti efektif mempercepat proses dekomposisi limbah rumah tangga pada biopori dalam kurun waktu 10 hingga 15 hari. Program ini berhasil meningkatkan pemahaman dan keterampilan masyarakat dalam mengolah limbah menjadi produk aplikatif yang mendukung kemandirian ekonomi dan keberlanjutan lingkungan di Desa Wlahar.