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Journal : International Journal of New Media Technology

Web-Based Inventory Application Development for PT. Palugada Indonesia Justin A. Haratua; Andree E. Widjaja; Kusno Prasetya; Hery Hery
IJNMT (International Journal of New Media Technology) Vol 8 No 1 (2021): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v8i1.2063

Abstract

PT. Palugada Indonesia still records their transactions and inventory of goods in traditional ways, which could result in some errors caused primarily by human interventions. The aim of this research is to assist PT. Palugada Indonesia to control their inventory through an information system. Specifically, a web-based application that can process product data, supplier data, customer data, user data and transaction data was purposefully developed in this study. In addition, the developed application has notification and sales forecast features. These features are expected to further assist PT. Palugada Indonesia to control their inventory optimally. Moreover, the application also has some other useful features, for instance in displaying more informative data, by bringing up sales forecasts and notifications. The developed application was modeled using UML diagram 2.0 and developed using HTML, PHP, and MySQL database. Index Terms—inventory; web-based application; saels forecast; PT. Palugada Indonesia
The Design of Microcontroller Based Early Warning Fire Detection System for Home Monitoring Hery Hery; Calandra Alencia Haryani; Aditya Rama Mitra; Andree Emmanuel Widjaja
IJNMT (International Journal of New Media Technology) Vol 9 No 1 (2022): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v9i1.2405

Abstract

Fire is a type of disaster that can occur anytime and anywhere as a result of any accidental or intentional causes. Without exception, houses are also very vulnerable to fire. To anticipate the catastrophic effects of fire that can destroy houses, advanced technology, such as the Internet of Things (IoT) can be utilized to detect the smoke and fire. This study aims to design an early warning fire detection system for home monitoring using smoke detection sensors based on Arduino microcontroller together with NodeMCU ESP8266. This early warning fire detection system is expected to function by notifying homeowners when detecting the presence of smoke in their homes. With the aid of this detection system, the issue of potential damage, death, or material loss caused by fire can be significantly reduced. The results and testing of the designed system will be discussed in the paper.