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All Journal Jurnal Teknologi Informasi dan Multimedia Pedagogy : Jurnal Pendidikan Matematika
Sariyasa Sariyasa
Ganesha University of Education
Computer Science & IT Education Mathematics

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Analisis Segmentasi Pelanggan pada Bisnis dengan Menggunakan Metode K-Means Clustering pada Model Data RFM Sisilia Fhelly Djun; I Gede Aris Gunadi; Sariyasa Sariyasa
Jurnal Teknologi Informasi dan Multimedia Vol. 5 No. 4 (2024): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v5i4.434

Abstract

The development of business strategies, particularly in the marketing of SMEs, requires the utilization of business intelligence as the foundation for objective decision-making. This research aims to develop a business intelligence scheme for SMEs and design targeted assistance strategies for SME support institutions. The implementation of business intelligence involves leveraging transactional data from SMEs to ascertain customer segmentation and correlating it with Customer Relationship Management (CRM) strategies. Transactional data is processed into a Recency, Frequency, Monetary (RFM) data model. Customer segmentation is achieved through a clustering process using the K-Means algorithm, and the results yield distinct profiles for SME customers. Evaluation processes are conducted to determine the optimal solution for the number of customer segments. Evaluation methods, including the Elbow Method, Silhouette Scores, and Davies–Bouldin Index, are employed to determine the optimum cluster. The evaluation results indicate that the optimum cluster is 3, with the best Silhouette Score being 0.548 and Davies–Bouldin Index at 0.76. The first customer segment exhibits the highest shopping frequency and monetary value, categorizing them as active and profitable customers. Special loyalty services are recommended for this segment. The second segment, despite having the largest number of customers, exhibits a shopping frequency of only 1-2 times, with an average recency of approximately the last 2 months. These customers require effective after-sales service. The third segment consists of customers who last shopped more than 6 months ago, making them a low-priority segment. Re-engagement strategies, such as email marketing, are suggested for this segment. Support institutions can focus on CRM assistance targeting these three identified segments.
SYSTEMATIC LITERATURE REVIEW: INTEGRASI COMPUTATIONAL THINKING DAN STEM DALAM PEMBELAJARAN MATEMATIKA TERHADAP DISPOSISI MATEMATIS SISWA Rai safitri; Gede Suweken; Sariyasa Sariyasa; Gusti Ayu Mahayukti; I Made Ardana I Made Ardana
Pedagogy: Jurnal Pendidikan Matematika Vol. 11 No. 2 (2026): Pedagogy : Jurnal Pendidikan Matematika
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/myty1n40

Abstract

Penelitian ini dilatarbelakangi oleh masih rendahnya disposisi matematis siswa serta belum optimalnya integrasi computational thinking (CT) dan STEM dalam pembelajaran matematika. Penelitian ini bertujuan untuk mengkaji karakteristik, model integrasi, serta implikasi integrasi CT dan STEM terhadap disposisi matematis siswa. Metode penelitian yang diterapkan adalah Systematic Literature Review (SLR) yang mengacu pada kerangka PRISMA 2020. Proses penelusuran literatur dilakukan melalui basis data Scopus dan Google Scholar menggunakan kata kunci yang relevan sehingga diperoleh sebanyak 442 artikel. Selanjutnya, melalui tahap identifikasi, penyaringan, kelayakan, dan inklusi, diperoleh 13 artikel yang memenuhi kriteria untuk dianalisis. Hasil kajian menunjukkan bahwa integrasi CT dan STEM umumnya diterapkan melalui model PBL dan PjBL yang didukung oleh penggunaan media digital. Integrasi tersebut menunjukkan kontribusi positif terhadap indikator disposisi matematis. Selain itu, integrasi CT dan STEM juga mendukung kemampuan pemecahan masalah dan CT siswa. Namun, sebagian besar penelitian masih menitikberatkan pada aspek kognitif dan belum secara langsung mengukur disposisi matematis siswa. Oleh karena itu, diperlukan penelitian lanjutan untuk mengkaji disposisi matematis melalui penggunaan instrumen afektif yang lebih spesifik dan komprehensif.
Co-Authors Gede Suweken Gusti Ayu Mahayukti I Gede Aris Gunadi I Made Ardana I Made Ardana Rai safitri Sisilia Fhelly Djun