Work place: Computer Science Department, Bina Nusantara University, Jakarta, 11480, Indonesia
E-mail: suci.laksono@gmail.com
Website:
Research Interests: Computational Learning Theory
Biography
Suci Laksono born on February 2, 1994. He received S.Kom degree from STMIK Cilegon, Indonesia in 2016. Applied a master student at BINUS university, Indonesia. His current interests include mobile development and machine learning. He is currently working at PT.KP, Indonesia.
By Suci Laksono
DOI: https://doi.org/10.5815/ijwmt.2021.06.03, Pub. Date: 8 Dec. 2021
One of the business activities in the company is Inventory management. Stocktaking is an important process to ensure stable operation. A conventional method for item identification is through an attached human-readable label. Employees use an inventory sheet of paper to keep track of items. We propose new system inventory management based on an android application to increase time efficiency for Obtain data tracking through NFC (Near Field Communication) tag-based system. This approach involved 11 participants who performed stocktaking to compare performance between the new and old systems. We collect 54 of the Sample data for time evaluation using a t-test to analyze the data. The result was significantly shorter time in stocktaking process of new system than conventional method (df = 26, t = -7.075, p < .001). Furthermore, the proposed system could be a viable solution for reduce the time needed to complete the stocktaking process in the company.
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