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Prototype Kontrol Dan Monitoring Air Tandon Berbasis Mikrokontroler Wati, Hera; Riyanto, Agus; Mardianto, Eko; Syamsudin, Mariana; Rahayu, Wiwit Indah
Electrical Network Systems and Sources Vol 4 No 1 (2025): Electrical Network Systems and Sources
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v4i1.1732

Abstract

The availability of clean water is important for health, but not all areas have adequate access. Some communities rely on rainwater, wells, or unsuitable ditches for their daily needs. To overcome this problem, a microcontroller-based water tank control and monitoring system was developed near water sources such as ponds or ditches. This system uses simple filtration with silica sand, zeolite stone, activated carbon, coral shell sand, and coconut fiber to filter dirty water into clean water. The filtration results showed an increase in water quality: the pH of clean water increased from 6.39 to 8.18 and the TDS decreased from 0.63 to 0.03. Pond water increased in pH from 7.22 to 8.19, with TDS decreasing from 0.61 to 0.43. Ditch water showed an increase in pH from 6.97 to 7.77, but a slight increase in TDS from 0.80 to 0.85. Overall, this filtration improves water quality by adjusting pH and reducing TDS.
Prototipe Robot Forklift Line Follower Dengan Metode Logika Fuzzy Berbasis Internet of Things Pratama Yasfa, Arya; Ilyas Hadikusuma, Mohd; Mardianto, Eko; Hasan; Satriyo
Electrical Network Systems and Sources Vol 4 No 2 (2025): Electrical Network Systems and Sources
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v4i2.1857

Abstract

This research developed a prototype forklift line follower robot that applies the fuzzy logic method and is integrated with the Internet of Things (IoT) technology. fuzzy logic and integrated with Internet of Things (IoT) technology. This innovation This innovation is intended to improve efficiency and safety in material material management system in an industrial environment. The robot is designed to follow path using eight photodiode sensors and detects the color of objects through the TCS3200 sensor. A fuzzy logic method is used to handle uncertainty and dynamics in the trajectory, enabling more adaptive motion control. dynamics on the trajectory, allowing for more adaptive motion control. Sensor calibration showed a noticeable voltage difference between black (4.0 V) and white (0.16 V), with the use of a 10 kΩ resistor. Color sensor capable of recognizing six colors of objects based on a range of RGB values. The system is also capable of controlling the speed of the DC motor within the range of 0-255 PWM. Through IoT integration, information such as speed, object color, and delivery status can be monitored in real-time from a mobile device. can be monitored in real-time from a mobile device.   Keywords :, Forklift Robot, Line Follower, Fuzzy Logic, Internet of Things, Automation.