No abstract

The development of increasingly sophisticated medical science and technology has an impact on the development of science and technology in the field of medical-devices. One of the existing equipment and is often used in hospitals, one of which is an IV. Currently in the world of health, infusion is still controlled manually. Because it takes time if the nurse has to go back and forth throughout the patient room. Not only is it time consuming, but there will be risks if it is too late to treat a patient whose infusion has run out. Technology needs to be used to minimize risks in the medical world, one of which is the application of IoT technology. This study aims to make it easier for nurses to control infusion conditions in real time using the concept of IoT ( the Internet of Things). The method used is the Waterfall method. This research uses hardware consisting of Load Cell with the HX711 module as a weight sensor, NodeMCU V3 as a processor, and Thingspeak Web server as the interface with the user. The results of the measurement of the tool made have an error of 0.25 Gram, sending data to the Thingspeak.com Server requires a good connection for maximum results.

Water is a source of life that is needed by living things. Many people have switched to using PDAM water to fulfill their daily water needs so in the distribution process the PDAM requires a process of checking or recording by officials the amount of water used that is distributed to each customer. This raises a problem, namely that there is often a discrepancy between the amount of water used and the fees that must be paid and the water meters used by the PDAM are still analog in nature so the water usage data is difficult for customers to know. This is one of the factors causing the soaring bills of fees that must be paid for water needs to the PDAM every month which often results in several possibilities, namely non-payment, leaks, or fraud. So we need a tool to facilitate the PDAM and PDAM water customers in monitoring water use as well as the amount of payment. The tool is in the form of a PDAM Water Usage Monitoring System Design using Internet of Things technology using a water flow sensor that will detect the use of water used, RTC to determine a date and time in the BLYNK application display, processed via the ESP32 Node MCU and displayed on the LCD as the output of current usage and bills to be paid. The processed data results will be sent to the BLYNK web server and can be viewed through the BLYNK application on an Android smartphone. The error value from the reading of the water flow sensor is 1%, which means the accuracy level is 99%. Meanwhile, the data from the reading of the system for calculating the cost of using PDAM water does not contain errors so the accuracy of the data reaches 100%.

Selama ini masyarakat pada umumnya dapat mengendalikan lampu atau peralatan elektronik lainnya hanya dengan saklar akan tetapi pengendalian tersebut dibatasi oleh jarak. Oleh karena itu, dilakukan kegiatan pembangunan sebuah prototype aplikasi sistem pengendalian peralatan elektronik yang dibangun di platform Android sebagai solusi alternatif baru untuk pengendalian jarak jauh. Aplikasi yang dibangun pada platform Android ini memiliki tampilan antarmuka (user interface) yang menarik dan mudah dipahami. Selain itu, sistem pengendalian yang dibangun memanfaatkan jaringan bluetooth untuk pengiriman instruksi pengendaliannya ke arduino. Pada prototype ini menggunakan arduino uno sebaga prosesor, android sebagai kendali, modul Bluetooth HC-06 sebagai komunikasi arduino dengan android dan menggunakan rellay sebaga switch kontrol dengan sfesifikasi 4 chanel. Komunikasi antara smartphone android dengan mikrokontroler dapat dilakukan secara wireless menggunakan bluetooth, yang mana smartphone android dan bluetooth module pada sistem mikrokontroler dapat berkomunikasi menggunakan data serial. Fitur speech recognition yang ada pada smartphone android dapat dimanfaatkan untuk mengendalikan lampu menggunakan perintah suara. Hal ini dilakukan dengan cara menginisialisasikan spektrum perintah suara berupa string ke dalam kode karakter yang telah dikenali mikrokontroler.Pengendalian peralatan elektronik tidak akan bekerja jika smartphone android diluar jarak jangkauan pancaran wireless bluetooth dari bluetooth module karena sambungan bluetooth akan terputus secara otomatis.

Among all parameters of shrimp pond water quality, the degree of acidity (pH) and temperature play the most important role. Determination of the pH value is usually done by means of manual and periodic measurements by the operator using a pH meter, as well as the feeding process which is still done manually, which of course will occur in the process of feeding that is not. Therefore, the researchers designed a tool that can monitor the degree of acidity (pH) and temperature and make a shrimp pond feed spreader automatically using the internet. The use of connected intelligent software and systems to utilize data collected by sensors using the Internet of Things (IOT) technology approach and control automation using the blynk application platform. This research resulted in a prototype control system and monitoring data related to water temperature, pH content and control of fish feed automatically according to a predetermined time schedule.