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Journal : LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics

Implementasi QR Code Untuk Sistem Informasi Pemesanan Menu Pada Restoran Omah Gedhe Pandean Kaliwungu Berbasis Web Rusito, Rusito; Diyah Intan Mawarni Putri
LogicLink Vol. 1 No. 2, December 2024
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i2.9164

Abstract

This study aims to develop and implement a web-based menu ordering information system using QR Codes at Omah Gedhe Pandean Kaliwungu Restaurant. The system is designed to enhance efficiency and convenience in the food ordering process at the restaurant. QR Codes are used as a medium to access the digital menu, allowing customers to scan the codes with their mobile devices to directly view the menu and place orders without waiting for a waiter. The results of this implementation show that the QR Code-based information system can improve service speed, reduce ordering errors, and provide a more interactive experience for customers. This research employs the Research and Development (R&D) method by Brog & Gall, which is used to produce and test specific products. The study uses 6 out of the 10 steps of this method. Validation results from experts and users show an average validation score of 31.5 from 2 respondents, which falls within the 31-40 range on the value indicator table, leading to the conclusion that the system design is "Highly Valid."
Smart System Kumbung Jamur Tiram dengan IoT dan Sensor DHT11-LDR Rusito; Rahmawan, Andika Bagas
LogicLink Vol. 2 No. 2, December 2025
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v2i2.12745

Abstract

Oyster mushroom cultivation requires stable environmental conditions, particularly in terms of temperature, humidity, and lighting. Traditionally, the management of mushroom houses has been carried out manually, which often leads to inefficiency and production failures. This study aims to design and implement a Smart System for oyster mushroom houses based on the Internet of Things (IoT) using DHT11 and LDR sensors. The research employed the Research and Development (R&D) method with six main stages, namely needs analysis, planning, initial product development, limited trials, product revision, and product testing. The system was designed using NodeMCU as the main controller, with the DHT11 sensor to measure temperature and humidity, and the LDR sensor to detect light intensity. Data are displayed through an LCD and transmitted in real time to an Android application. The design validation test obtained a score of 30, categorized as “Good,” while the limited user trial involving 12 respondents achieved an average score of 35.16, categorized as “Very Good (Valid).” The system automatically activates the fan when the temperature exceeds 28°C, turns on the water pump when humidity is low, and switches on the lamp when light intensity is insufficient. Therefore, this system can assist mushroom farmers in maintaining optimal environmental conditions in real time and automatically, which is expected to improve both the quality and productivity of oyster mushroom cultivation.