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Penerapan Metode K-Means untuk Pengelompokan Data Penjualan Produk pada Toko Uber Moro 2 Kurniansyah, Alfath Adil; Wulan, Rayung; Niswati, Za'imatun
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 10, No 1 (2026): SEMNAS RISTEK 2026
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v10i1.8514

Abstract

Penelitian ini dilakukan untuk membantu Toko Uber Moro 2 dalam mengelola data penjualan produk yang semakin kompleks menjadi lebih sistematis dan efisien melalui penerapan metode K-Means. Tujuan dari penelitian ini adalah membangun sistem analisis yang mampu mengelompokkan produk berdasarkan performa penjualannya. Metode K-Means dipilih karena kemampuannya dalam mengelompokkan data berdasarkan kemiripan nilai dari jumlah produk terjual dan total transaksi produk selama 3 bulan terakhir. Proses iteratif K-Means menghasilkan klaster dengan karakteristik serupa, sehingga memudahkan identifikasi pola penjualan. Hasil pengujian menunjukkan bahwa sistem mampu membagi ke dalam tiga kategori penjualan: tinggi, sedang, dan rendah. Secara rinci, terdapat 14 produk dengan penjualan tinggi, 10 produk dengan penjualan sedang, dan 16 produk dengan penjualan rendah. Sistem ini mempermudah pemilik toko dalam melaksanakan operasional toko seperti pengelolaan stok maupun promosi produk secara lebih efektif.
Peningkatan Kualitas Pendidikan pada Satuan Pendidikan Melalui Perencaan Berbasis Data Eddy Saputra; Rayung Wulan; Nur Ali; Hasan Özalp
SAP (Susunan Artikel Pendidikan) Vol. 10 No. 2 (2025): SAP
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/sap.v10i2.698

Abstract

Improving the quality of education is the main focus in efforts to create superior and adaptive educational units to the dynamics that occur. One of the strategic approaches currently being promoted by the government is the implementation of Data-Based Planning (PBD). This approach allows educational units to make decisions that are more objective, measurable, and in accordance with real needs in the field. With the effective implementation of Data-Based Planning, educational units are expected to be able to improve the quality of learning, educational services, and the achievement of student learning outcomes in a sustainable manner. The research method used is qualitative with a case study approach that is intended to find out in detail the problems faced. This study aims to examine the implementation of Data-Based Planning in improving the quality of education in the Central Jakarta 1 Senior High School environment, as well as to identify the challenges faced and strategies that can be developed. The results of the study show that although most schools have access to educational data, its use in the planning process is still not optimal. Factors such as low data literacy, limited training, and lack of a reflection-based work culture are the main obstacles. Therefore, it is necessary to strengthen the capacity of human resources and support systems that encourage maximum data utilization in the planning and evaluation of school programs.