Web-Based Procurement System for Mobile Phone Stock at Tsuraya Cell Using Blackbox Testing
Keywords:
inventory procurement system, stock management, weighted moving average, blackbox testing, website.Abstract
Abstract: Penelitian ini bertujuan merancang sistem berbasis web untuk mendukung pengadaan stok handphone di Tsuraya Cell dengan mengintegrasikan peramalan kebutuhan stok. Sistem dirancang menggunakan metode Weighted Moving Average yang menghitung perkiraan berdasarkan data penjualan tiga bulan terakhir. Pengembangan sistem dilakukan dengan metodologi Waterfall melalui tahapan analisis, perancangan, implementasi, pengujian, dan pemeliharaan. Fitur utama sistem meliputi manajemen stok, pencatatan transaksi, peramalan kebutuhan, serta dashboard ringkasan untuk mendukung operasional bisnis. Hasil peramalan menunjukkan tingkat akurasi rata-rata sebesar 71,84%, dengan akurasi tertinggi pada jenis produk dengan penjualan stabil yang mencapai hingga 100%, sedangkan produk tanpa data penjualan historis kurang efektif diprediksi. Pengujian fungsional menggunakan metode Blackbox memperoleh tingkat keberhasilan sebesar 88,24%. Hasil ini menegaskan bahwa metode Weighted Moving Average cukup tepat digunakan dalam memperkirakan kebutuhan stok dengan data historis yang memadai. Berdasarkan hasil penelitian, dapat disimpulkan bahwa sistem yang dibangun mampu berfungsi dengan baik, memberikan dukungan dalam perencanaan kebutuhan stok, meningkatkan ketepatan pengambilan keputusan, serta berkontribusi dalam efisiensi pengelolaan persediaan handphone di Tsuraya Cell.
Abstract: This study aims to design a web-based system to support mobile phone stock procurement at Tsuraya Cell by integrating stock demand forecasting. The system is designed using the Weighted Moving Average method, which calculates estimates based on sales data from the last three months. System development follows the Waterfall methodology through the stages of analysis, design, implementation, testing, and maintenance. The main features of the system include stock management, transaction recording, demand forecasting, and a summary dashboard to support business operations. Forecasting results show an average accuracy rate of 71.84%, with the highest accuracy achieved for products with stable sales, reaching up to 100%, whereas products without historical sales data are less effectively predicted. Functional testing using the Blackbox method obtained a success rate of 88.24%. These results indicate that the Weighted Moving Average method is appropriate for estimating stock needs when sufficient historical data is available. Based on the study’s findings, it can be concluded that the developed system functions well, supports stock planning, improves decision-making accuracy, and contributes to efficient management of mobile phone inventory at Tsuraya Cell.
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