IoT-based inventory monitoring system for SMEs

Lora Ristio Gultom, V. S. Yosephine
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Abstract

Industry 4.0's pervasive digital ideas have completely changed how businesses operate. A lot of big businesses have switched to digital systems. However, due to a lack of funding and digital infrastructure, SME sector digitalization issues still exist. Inventory management is one of the many manual methods that many SMEs still have to rely on, which makes it prone to error. To manage inventories more accurately and effectively, manual systems must be changed. The goal of this project is to improve inventory management efficiency by creating a dependable and affordable automated system. A cloud database is connected to the system to provide quick inventory monitoring on warehouse shelves. Prototyping and statistical testing are used in the study technique to evaluate the system's dependability. Using an Internet of Things-based single-board computer, the research creates an inventory monitoring system. With a daily implementation cost of IDR 642.92, the system is deemed cost-effective based on inventory monitoring results on warehouse shelves. Because the system's performance reached a Cronbach's alpha value greater than 0.8, the inventory management system used in the study is regarded as dependable for application in real-world systems to increase inventory management accuracy
基于物联网的中小企业库存监控系统
工业 4.0 无处不在的数字化理念彻底改变了企业的运营方式。很多大企业已经转向数字化系统。然而,由于缺乏资金和数字化基础设施,中小企业的数字化问题依然存在。库存管理是许多中小企业仍需依赖的手工方法之一,因此很容易出错。为了更准确、更有效地管理库存,必须改变手工系统。本项目的目标是通过创建一个可靠且经济实惠的自动化系统来提高库存管理效率。云数据库与系统相连,可快速监控仓库货架上的库存。研究技术中使用了原型设计和统计测试来评估系统的可靠性。研究利用基于物联网的单板计算机创建了库存监控系统。该系统每天的实施成本为 642.92 印尼盾,根据仓库货架上的库存监控结果,该系统被认为具有成本效益。由于系统的性能达到了大于 0.8 的 Cronbach's alpha 值,研究中使用的库存管理系统被认为是可靠的,可以应用于现实世界的系统中,以提高库存管理的准确性。
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