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Power Monitoring and Passenger Classification on Logistics Elevator Hafidz, Isa; Putra, Aldhitiansyah; Montolalu, Billy; Adiputra, Dimas; Putranto, Rifky Dwi; Daffaldi, Rafly; Ulfa, Dinda Karisma
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 6 No. 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (525.938 KB) | DOI: 10.21831/elinvo.v6i2.43689

Abstract

The elevator has an important role in assisting transportation and logistics activities in a building. However, if the elevator is not used wisely, then the power consumption will be inefficient. A policy of elevator usage is necessary to ensure the effectiveness of elevator power consumption. Therefore, in this study, elevator power consumption monitoring is proposed. The power consumption behavior can be learned so a suitable policy can be made accordingly. Two elevators in Telkom Campus Surabaya are monitored to understand the daily electrical energy usage. Internet of Things (IoT) based real-time power monitoring system is used to monitor the electrical energy usage of the elevator. A raspberry pi is used to collect the data of electrical usage via a current and power sensor. The data is sent to the cloud, which later is displayed through a dashboard website. The result shows that the elevator usage on weekdays and weekends is different. The peak power on weekdays is obtained from 15.00 to 16.00, meanwhile, on weekends, the peak occurs from 9:00 to 10:00. On weekdays, the total power consumed by the elevator is 51.74kW, while on weekends, it is 11.94kW. Restrictions on the use of lifts are applied to periods when the lift has few passengers and has a short distance. From the results obtained, the total power consumed can decrease by an average of 37%. It is expected that the suggested policies can reduce elevator power consumption and the monthly cost of electrical energy.
IoT-Based Battery Monitoring System for Lithium-Ion using Fuzzy Logic Method Ardika Bagus Saputra; Isa Hafidz; Susijanto Tri Rasmana
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.746

Abstract

The increasing number of vehicles in Indonesia has a negative impact if it is allowed to continue; one solution is to switch to environmentally friendly electric vehicles. One of the main components of electric vehicles is the battery. IoT-based battery monitoring is needed to check battery health using the fuzzy logic method with LED notification results. Notifications indicate whether the battery is in a safe, alert or dangerous condition. The results of battery monitoring in a discharge condition with a load of battery voltage decrease linearly compared to temperature, which changes according to the ambient temperature. In a charging condition, the battery voltage increases linearly, and the peak temperature is higher than when discharged with a load. When testing a load variation of 4 LEDs, the voltage decreases faster, and the temperature rises higher than with a load of 2 LEDs. With these various conditions, the application of fuzzy logic is used to monitor the condition of the battery in a discharge or charge state. This study aims to develop IoT-based battery monitoring by implementing the use of fuzzy logic as a battery notification when the battery is in a safe, alert, or dangerous state. This battery monitoring system can monitor the battery in real time and is quite accurate by using IoT, which can facilitate battery monitoring.