The development of technology demands a variety of activities that can be easily accessed regardless of space and time. The development of information technology has become an innovative, dynamic, and economically profitable solution. Information technology is the answer to the problems and challenges faced by the world of education. Cloud computing is changing the way information technology services are provided and distributed so that institutions have the opportunity to access the educational and scientific information. Cloud computing technology is a new paradigm in the delivery of computing services, which has many advantages compared to conventional systems. This study discusses cloud computing in general and some examples of the application of cloud computing services and their benefits in the Electrical Engineering Education Study Program environment. The case study taken is the application of cloud computing services in the Electrical Engineering Education Study Program, where cloud computing is a computing model, as resources such as processors or computing power, storage, networks, and software are abstracted and provided as services on a network or internet with using the remote access pattern. The purpose of this study was to determine whether cloud computing might be applied to learning, as well as the benefits provided by cloud computing in the development of learning systems. This study uses a qualitative descriptive method with data collection techniques in the form of literature studies. Based on the research conducted, the results show that the services provided by cloud computing have various benefits, namely increasing efficiency and effectiveness in the use of cloud computing-based technology in the learning process.

This paper presents the design and performance analysis of solar panel dynamic systems using a solar tracker to improve output power efficiency. The majority of the solar panels are still static, which results in inferior solar energy receiving. to create a perpendicular angle between the solar panels and the direction of the sun's rays in order to maximize the absorption of solar energy. By altering the time of the solar module, this research creates a prototype solar tracker that is capable of producing more energy overall than solar modules that are static. For automatic solar module storage, these prototypes used two light sensors are employed, along with an actuator and the controller. It is expected that by using this technology, solar energy usage can be maximized and a costeffective electronic control system can be created.

Cultivation by replacing soil media with charcoal or other media, known as the hydroponic method, is now very popular. This hydroponic cultivation method then developed further into an aeroponic one, namely the cultivation of plants in the air without using any soil at all. This method aims to use water optimally, maximize the use of space, and reduce the human resources involved in its management because it is equipped with automatic control equipment. However, aeroponic cultivation techniques are very dependent on electric power, so if the power source is cut off, the system cannot work. Similarly, in the process of plant care. Control devices must be properly arranged in such a way as to ensure the plant gets nutrients from the roots so that the growth process can occur properly. This study aims to provide solutions to overcome the problems experienced by plant cultivators with this aeroponic system. The proposed solution is to create a nutrient film technique (NFT) on a solar-powered control device to spray nutrient solution on the plant roots on a regular basis. This controller device was developed using ESP32 so that the device can work automatically and can still be monitored by factory managers from anywhere and anytime by utilizing internet of things technology. This module utilizes temperature sensors, proximity sensors, and water quality sensors to support the automation of aeroponic plant cultivation. Based on the test results, it was found that each sensor works well with a small error: the temperature sensor has a reading accuracy rate of 96.54%, the proximity sensor is 97.2%, and the nutrition sensor is 96.8%. Based on the permissible error standard, which is a maximum of 5%, the performance of this aeroponic cultivation control device deserves to be in the proper category.

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Batteries are one of the most important components in electric vehicles. Batteries are used as an energy source for the entire electrical system and as a place to store electrical energy during charging process. The battery functions to supply electric current in order to operate the electric machine. The lithium-ion battery is a type of secondary battery (rechargeable battery) that can be recharged and is an environmentally friendly battery. This battery has excellent energy storage stability and higher energy density compared to other types of secondary batteries, making this type of battery increasingly attractive for use in electric vehicles. This study aims to design the size of an electric bicycle battery according to its specifications. In addition, an analysis of the calculation of the capacity of the battery to be used and the time for the recharging process is also carried out.