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All Journal Jurnal Informatika dan Teknik Elektro Terapan Journal of Informatics Management and Information Technology
Purnamasari , Intan
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Computer Science & IT

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Implementasi K-Means Untuk Pengelompokan Kategori Penjualan Barang Berbasis Web Agustin, Shania Risky; Purnamasari , Intan; Sari, Betha Nurina
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.644

Abstract

Harto Joyo Store faces challenges in inventory management due to manual recording processes. The main issue in managing sales data lies in the difficulty of grouping products based on sales patterns to support marketing strategies. This research aims to design and develop a web-based system capable of clustering products using the K-Means Clustering algorithm. The system was developed using the System Development Life Cycle (SDLC) with the Waterfall model, utilizing a dataset of 1,630 sales records from February 2023 to January 2024. The data was processed through the Knowledge Discovery in Databases (KDD) stages, which include Data Selection, Data Preprocessing, Data Transformation, Data Mining, and Knowledge Interpretation/Evaluation. The clustering process resulted in three data groups (Cluster 1 with 9 records, Cluster 2 with 191 records, and Cluster 3 with 28 records), with the number of clusters determined using the Elbow method. Cluster 1 represents best-selling products that require a high stock level, Cluster 2 includes low-demand products with minimal stock needs, and Cluster 3 consists of moderately-selling products that require a balanced inventory level. Evaluation using the Davies-Bouldin Index (DBI) yielded a DBI score of 0.356 for K=3, indicating optimal clustering results as it approaches zero. Initial testing shows that the system accurately classifies products into several sales clusters and can be used as a basis for business decision-making. This research contributes by providing a sales analysis system that can be integrated with the company’s information system. The analysis reveals that low-selling products dominate the data, suggesting that Harto Joyo Store should implement marketing strategies such as discounts or promotions to boost sales.
APLIKASI PEMESANAN BERBASIS WEBSITE PADA DOBRO COFFEE DENGAN MENERAPKAN PAYMENT GATEWAY MIDTRANS Angelina Raharjo, Fadya; Purnamasari , Intan; Defiyanti, Sofi
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8511

Abstract

Pertumbuhan kedai kopi di Bekasi (120 unit tahun 2021) memperketat persaingan. Dobro Coffee menghadapi masalah antrian (10-15 menit), kesalahan input pesanan, yang berdampak pada penurunan penjualan (Rp65.000 Oktober 2024 menjadi Rp49.000 Januari 2025). Penelitian ini mengusulkan aplikasi pemesanan website terintegrasi Payment Gateway Midtrans, dikembangkan dengan metode SDLC Waterfall (analisis kebutuhan, perancangan UML & basis data, implementasi PHP, MySQL, Bootstrap, Laragon, pengujian fungsional). Hasilnya adalah prototipe dengan modul pelanggan (registrasi, katalog menu, pembayaran Midtrans) dan admin (dasbor, kelola menu/pesanan). Pengujian SUS pada 25 responden menghasilkan skor 82,5 ('Good' dan 'Acceptable'). Sistem diproyeksikan mengurangi antrian, kesalahan input, dan meningkatkan efisiensi.
Co-Authors Agustin, Shania Risky Angelina Raharjo, Fadya Sofi Defiyanti