Azzahra, Amelia Nuril (2025) IMPLEMENTASI PERAMALAN PERSEDIAAN BARANG MENGGUNAKAN METODE LEAST SQUARE BERBASIS WEB (Studi Kasus: Toko Melati). S1 / D3 thesis, Universitas Kuningan.

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Official URL: https://rama.uniku.ac.id

Abstract

Toko Melati 334 merupakan sebuah toko perdagangan yang menyediakan berbagai jenis barang kebutuhan, seperti aneka jenis lampu, alat – alat listrik, alat tulis kantor (ATK), dan barang-barang lainnya. Permasalahan utama yang dihadapi adalah ketidakseimbangan persediaan barang akibat permintaan yang fluktuatif. Kondisi ini sering mengakibatkan terjadinya kelebihan atau kekurangan stok, yang dapat menimbulkan kerugian finansial dan menurunkan kepuasan pelanggan. Untuk mengatasi masalah tersebut, penelitian ini bertujuan untuk mengimplementasikan metode peramalan Least Square berbasis web sebagai solusi dalam memprediksi kebutuhan persediaan barang secara lebih akurat. Data penjualan selama 36 bulan (Juni 2022–Mei 2025) digunakan sebagai dasar dalam proses peramalan. Hasil penelitian menunjukkan bahwa peramalan untuk bulan Juni 2025 menggunakan metode Least Square 16,15 buah dengan nilai Mean Absolute Precentage Error (MAPE) sebesar 15%. Model peramalan ini diharapkan dapat membantu Toko Melati 334 dalam memprediksi persediaan barang secara lebih efektif dan mendukung proses pengambilan keputusan yang lebih baik dalam menghadapi dinamika permintaan pasar.

Melati 334 Store is a retail business that offers a variety of essential goods, such as various types of lamps, electrical tools, office stationery (ATK), and other miscellaneous items. The main issue faced by the store is the imbalance in inventory due to fluctuating demand. This condition often results in either overstock or stock shortages, which can lead to financial losses and decreased customer satisfaction. To address this problem, this study aims to implement a web-based Least Square forecasting method as a solution to more accurately predict inventory needs. Sales data over a 36-month period (June 2022–May 2025) is used as the basis for the forecasting process. The results of the study show that the forecast for June 2025, using the Least Square method, is 16.15 units, with a Mean Absolute Percentage Error (MAPE) of 14%. This forecasting model is expected to assist Melati 334 Store in predicting inventory more effectively and supporting better decision-making in responding to market demand dynamics.

Item Type: Thesis (S1 / D3)
Uncontrolled Keywords: Toko Melati 334, Persediaan Barang, Peramalan, Least Square, Sistem Berbasis Web, Melati 334 Store, Inventory, Forecasting, Least Square, Web-Based System
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > S1 Sistem Informasi
Depositing User: S.Kom Amelia Nuril Azzahra
Date Deposited: 22 Jun 2026 03:13
Last Modified: 22 Jun 2026 03:13
URI: https://rama.uniku.ac.id/id/eprint/5372

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