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All Journal International Journal of Management Science and Information Technology (IJMSIT) Interaksi : Jurnal Pengabdian Kepada Masyarakat
Masitah Handayani
Universitas Royal
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions

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Pemanfaatan Aplikasi Canva untuk Media Pembelajaran di RA Al-Fariq Fauriatun Helmiah; Masitah Handayani; Havid Syafwan; Pristiyanilicia Putri
Interaksi : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2024): Interaksi - Desember
Publisher : PT. Faaslib Serambi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66341/interaksi.v1i2.65

Abstract

Kegiatan pengabdian masyarakat di sekolah RA Al-Fariq Desa Sei Silau Timur Kecamatan Buntu Pane Kabupaten Asahan bertujuan untuk mengatasi tantangan yang dihadapi oleh guru-guru PAUD dalam menyediakan media pembelajaran yang interaktif dan efektif. Melalui pelatihan pemanfaatan aplikasi Canva, para guru dilatih untuk menggunakan fitur-fitur desain dalam menciptakan materi pembelajaran yang menarik yang ada pada aplikasi Canva tersebut. Hasil dari kegiatan ini menunjukkan bahwa guru-guru tidak hanya memperoleh keterampilan baru, tetapi juga termotivasi untuk mengembangkan kreativitas mereka, yang diharapkan dapat memberikan dampak positif bagi proses belajar anak-anak. Rekomendasi untuk pelatihan lanjutan termasuk pengembangan pemahaman mendalam tentang Canva dan penggunaan aplikasi lain yang mendukung pembelajaran.
Consumer Segmentation With K-Means at Lucky Shop Tanjungbalai Reza Ahmad Fauzi; Masitah Handayani; Parini Parini
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.7213

Abstract

Consumer segmentation is an important strategy for improving marketing effectiveness and inventory management in retail businesses. Lucky Shop Tanjungbalai faces challenges in understanding diverse customer purchasing patterns, making it difficult to develop targeted marketing strategies. This study aims to apply the K-Means Clustering method to classify consumers based on purchasing behavior patterns. The data used consisted of 15 customer transaction records collected from Lucky Shop Tanjungbalai, with attributes including purchase frequency, quantity of purchased products, and product categories. This research adopted a qualitative approach combined with data mining techniques using the CRISP-DM framework, which consists of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The system was developed using PHP and MySQL. The results indicate that K-Means Clustering successfully segmented customers into Loyal Customers and Occasional Customers based on their purchasing characteristics. These segmentation results provide practical benefits for Lucky Shop by enabling more targeted promotional programs, improving customer relationship strategies, optimizing inventory planning, and supporting data-driven business decision-making. Therefore, the implementation of K-Means Clustering can serve as an effective solution for customer segmentation in local retail businesses.
Co-Authors Fauriatun Helmiah Havid Syafwan Parini Parini Pristiyanilicia Putri Reza Ahmad Fauzi