Hydroponics is a method of planting without using soil media by utilizing water. The problem occurs when the farmer cannot control the water used in hydroponic. Therefore, we need a system to monitor the amount of water used in the hydroponic planting system. This service activity aims to develop and implement a hydroponic monitoring system based on IoT. This activity was carried out by students, followed by several accompanying lecturers. It aims to assist partners in measuring water content, temperature, and water pH in hydroponic plants. One of the business unit partners for this activity is SMEs engaged in hydroponic agricultural cultivation at the Science Technology & Industrial Park (STIPARK) NTB. This community service activity was held for four months. From the process of analyzing partner problems, they were testing the STIPARK management and hydroponic SME business partners and the community who later needed a hydroponic monitoring system based on the Internet of Things so that information could be received in real-time. This product can help hydroponic SME business partners know the level of water levels or nutrients, monitoring water temperature and water pH to help farmers increase crop yields from hydroponic cultivation.
Measurement of body temperature can be the basis for determining a person's health. The increase in body temperature can also be a reference to find out whether a person is experiencing early symptoms of an infectious disease such as Covid 19 which is currently a pandemic or just a common fever. Body temperature measurements were initially carried out manually using a thermogun and the use of a thermogun requires a person to be in direct proximity. which will increase the risk of contracting the disease. this research makes a smart body temperature measuring device based on the internet of things, internet of things is a concept that aims to expand the benefits of continuously connected internet connectivity such as the ability to share data, remote control, and so on, so it is hoped that with the use of internet technology of things this smart body temperature measuring device can be controlled remotely which is not limited by distance and time as long as the system is connected to the internet network. The system uses an ultrasonic sensor to detect a person and the MLX-90614 sensor for non-contact body temperature measurement to detect body temperature, after which the data will be processed by nodemcu. The data is then displayed through the blynk application which is connected in real time and the data that has been processed by esp8266 is also displayed using an OLED LCD and besides that, the output is in the form of sound as a notification using DFPlayer mini Mp3.
During the Covid-19 pandemic, SMA Negeri 3 Selong changed learning activities from what was originally face-to-face, but currently learning is being transferred to the Online Learning System (SPADA) using several existing platforms. Judging from the level of plurality of students' thinking patterns during the implementation of online learning there are many problems that arise, one of which is the instability of the internet network, the various hendpone media devices owned by students and the lack of student knowledge in using online platforms. The purpose of this study was to determine the indicator of the problem in the predicate of student learning completeness of class XII SMAN 3 Selong during the post-COVID-19 pandemic. The method used to solve this problem is the Naïve Bayes algorithm. Naive Bayes is a method of probabilistic reasoning. And in the future the results of this study are expected to be able to provide the right solution in solving problems in online learning.
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