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Journal : Journal of Computer Networks, Architecture and High Performance Computing

Integrating Augmented Reality and Simulation Game for Flower Board Design Eka Pratiwi; Triase Triase; Imam Adlin Sinaga
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3712

Abstract

Augmented Reality was regarded as one of the technologies that merged the real world with the virtual one. Its development was carried out by developers across various fields, including businesses such as floral services, exemplified by Berkah Florist. In practical application, Berkah Florist encountered challenges related to efficiency and customer satisfaction in the floral design process. The prevailing methods, such as displaying photographs or employing paper-based designs, were time-consuming and susceptible to paper damage, thus hindering customers from expressing their preferences accurately and disrupting the design process. To address these challenges, an application was developed to streamline the floral design process, aiming to make it more appealing. This research aimed to assist customers and streamline Berkah Florist's operations by facilitating the modeling and visualization of more captivating and effective designs. The application, based on a simulation game, was developed using Research and Development (R&D) and Rapid Application Development (RAD) methodologies. The application presented floral designs through an AR-enabled camera, replicating real-world conditions. The incorporation of Augmented Reality in the application garnered interest and engagement from prospective customers while alleviating boredom. Designed to provide a delightful experience for potential customers, the application aimed to enhance their interest in reusing it. Consequently, Berkah Florist could enhance customer experience and improve efficiency in the floral design process.
Implementation of Statistical Quality Control Method in Product Quality Monitoring Information System Iqbal Maulana Syahputra; Triase Triase; Septiana Dewi Andriana
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3825

Abstract

The business sector faced intensifying competition due to significant advancements in information systems and technology. PT. Florindo Makmur, a leading private company in the cassava processing industry producing tapioca flour, has proven to implement quality standards to uphold product quality and ensure customer satisfaction. The product quality inspection process had to meet standards before packaging; however, reporting remained manual using paper sheets, elevating the risk of data loss and reducing monthly evaluation efficiency due to manual calculations. The aim of this research was to design an efficient information system for monitoring product quality at PT. Florindo Makmur, utilizing the Statistical Quality Control (SQC) method. The quality control monitoring system played a central role in gathering quality control data to support management decisions regarding product quality certainty. Therefore, obtaining monitoring information promptly was crucial to ensure products met quality standards and reduce rejected product quantities. The research approach included observation, interviews, and literature review as data collection strategies, while the system development method used was the waterfall method encompassing system requirement analysis, design, coding, and implementation. This information system enabled PT. Florindo Makmur to efficiently monitor its products by applying SQC concepts such as data analysis and creating control charts to swiftly identify improvements in product defects and take appropriate actions.