Rancang Bangun Sistem Informasi Data Penjualan Menggunakan Analisis Time Series

Furqon, Yussal Achmad (2026) Rancang Bangun Sistem Informasi Data Penjualan Menggunakan Analisis Time Series. S1 thesis, Universitas PGRI Madiun.

	Text HALAMAN DEPAN.pdf Download (441kB)
	Text ABTSRAK.pdf Download (28kB)
	Text BAB I.pdf Download (41kB)
	Text BAB II.pdf Download (733kB)
	Text BAB III.pdf Restricted to Repository staff only Download (237kB) | Request a copy
	Text BAB IV.pdf Restricted to Repository staff only Download (2MB) | Request a copy
	Text BAB V.pdf Download (36kB)
	Text DAFTAR PUSTAKA.pdf Download (32kB)
	Text DAFTAR LAMPIRAN.pdf Restricted to Repository staff only Download (456kB) | Request a copy

Abstract

Candi Surya Furniture is a company engaged in the sale of interior and exterior furniture products. Manual management of sales and inventory data causes difficulties in monitoring stock availability and determining future inventory needs. This study aims to design and develop a web-based Sales and Inventory Forecasting Information System for Candi Surya Furniture. The forecasting process uses the Time Series method with the Linear Regression algorithm to predict stock requirements and revenue based on historical sales data. The system was developed using PHP, MySQL, and the Agile development method. The results show that the system is capable of managing product data, sales data, sales reports, and generating stock and revenue forecasts. Usability testing using the System Usability Scale (SUS) obtained an average score of 85.68, which is categorized as Excellent. Therefore, the developed system can assist the company in inventory management and sales decision-making more effectively and efficiently

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	Information System, Sales Forecasting, Stock Forecasting, Time Series, Linear Regression, SUS.
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Teknik > Teknik Informatika
Depositing User:	FURQON ACHMAD YUSSAL
Date Deposited:	16 Sep 2026 01:39
Last Modified:	16 Sep 2026 01:39
URI:	http://eprint.unipma.ac.id/id/eprint/8640

Actions (login required)

View Item