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Journal : transformasi

SIMULASI SISTEM PEMANTAUAN AIR SUNGAI BERBASIS INTERNET OF THINGS DAN KONTROL LOGIKA FUZZY Hendrawan, Satya Arisena; Harun, Rofiq; Amirah, Amirah
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.445

Abstract

This study aims to develop a river water hazard monitoring system based on the Internet of Things (IoT) and fuzzy logic. This system is designed to help the community in identifying the level of danger of river flows. By using ultrasonic sensors and Arduino Uno microcontrollers, Cisco Packet Tracer simulation, Fuzzy logic, and visualization using Proteus software. This system is capable of monitoring water levels in real-time, providing early warning notifications with a Fuzzy Logic approach to improve accuracy and response to critical conditions. The study uses the ADDIE development model, problem analysis using SWOT (Strength, Weakness, Opportunity and Threat), Feasibility Analysis using TELOS Analysis which analyzes five main aspects, namely Technical, Economic, Legal, Operational, and Schedule. The results of the Black Box test show that each function in the system works according to user needs. Based on the results of the UAT test, the average overall score is 4.51 (Very Good category). This means that the water level monitoring system developed with fuzzy logic received positive feedback from respondents. This system is considered accurate in detecting water levels, easy to use, and reliable in various environmental conditions.Keywords: Internet of Things, fuzzy logic, ultrasonic, Arduino, SWOT, TELOS
Perancangan Sistem IoT Perawatan Tanaman Sawi Indoor Menggunakan Protheus dan Kontrol Logika Fuzzy Syujak, Ahmad Rois; Fitria, Fitria; Amirah, Amirah
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/vwsxrh67

Abstract

The advancement of agricultural technology has encouraged the implementation of Internet of Things (IoT)-based automation systems to improve efficiency and productivity in crop cultivation, particularly in greenhouse environments. This study aims to design and implement an IoT-based automation system for indoor mustard plant cultivation using the Mamdani fuzzy logic approach. The system was developed using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The system utilizes environmental parameters, including temperature, soil moisture, and light intensity, collected through sensors and processed using fuzzy logic to control actuators such as water pumps and lighting automatically. The experimental results show that the system operates in real-time with an average response time of 2.7 seconds and achieves a sensor accuracy with an average error of 2.78%. Furthermore, the system improves water usage efficiency by up to 30% compared to conventional manual methods. These results indicate that the proposed system provides an effective and adaptive solution for greenhouse management and has strong potential to support the development of smart agriculture systems. Keywords: Internet of Things, greenhouse, fuzzy logic, automation, mustard plant