Control systems in the field of technology, electronic devices must be controlled. But there are still those who oppose if the room does not have a place anywhere, where there is no one at home, other people forget to change the lights, it is very inconvenient if you have to go home, even though if the lights are left activated there will be a waste, from which It was stated that a light monitoring device was provided using the Internet-based (IoT) tea-based Relay module using the NodeMcu ESP 8266 microcontroller which has been equipped with a wifi module, so that the led lights can be monitored by the user in realtime so using the IoT Program platform using the Blynk application, which can be controlled via handphone, In the system implementation, a display is made using Blynk. There are 4 on and off switch buttons which are used to facilitate and activate the Led lights. In this research, the control of Led using blynk is done 10 times. Led control testing is used to see each procedural function running correctly as expected, the results of tests that have been done get the results of 10x experiments that have been done to get 2 x interrupted experiments in the LEDs needed to connect the wifi network
Serangan terhadap sistem komputer dari waktu ke waktu semakin meningkat dan semakin canggih. Perusahaan dituntut untuk memastikan Cyber Security yang aman untuk melindungi dari serangan hacker. Penelitian ini, Mengimplementasikan VAPT (Vulnerability Assessment and Penetration Testing) menggunakan metode ZEH (Zero Entry Hacking)Penetration Testing Methodology untuk mengetahui kerentanan SMB (server Message block) dan RDP(remote desktop) pada server yang dapat dieksploitasi serta memberi penyerang hak akses terhadap server yang mampu memanipulasi data pada server.
Penyebaran virus corona (Covid-19) di Indonesia semakin meningkat. banyak inovasi mulai timbul diantarnya penggunaan bilik/chamber yang diletakkan dijalan, pintu gerbang kampung masih secara manual dengan adanya petugas yang menekan saklar bagi tamu yang masuk, dan ada juga penyemprotan yang dilakukan secara otomatis, membaca tamu yang datang, secara otomatis, Kendala yang dihadapi terkadang kehabisan cairan desinfektannya, menuntut petugas mesti mengecek secara rutin agar tidak kehabisan. penelitian ini akan mengembangkan bilik desinfektan berbasis IoT selain dapat menyemprotkan cairan desinfektan secara otomatis, juga dapat mengisi cairan desinfektan secara otomatis dan dapat dipantau melalui Smartphone. Kebutuhan sistem dan alatnya terdiri dari : NodeMcu Esp 8266, sensor flow water, sensor ultrasonic, Relay, Solenoid Valve, Arduino IDE, Blynk Apps, ThingSpeak Proses pendeteksian ketinggian cairan desinfektan tersebut dibedakan menjadi 2, level aman dengan ketinggian air antara 11-50 cm, Level bahaya dengan ketinggian air antara 0-10 cm, maka nodemcu mengirimkan sinyal output ke relay, relay meneruskan sinyal tersebut yang berfungsi sebagai saklar untuk membuka solenoid, air akan mengalir melalui pipa saat katup solenoid dibuka sehingga kran air terbuka untuk mengisi derigen. Platform Iot Thingspeak digunakan untuk menampilkan grafik level cairan desinfektan. Data output sensor akan dilaporkan secara real time ke admin melalui aplikasi Blynk apps. Dengan perkembangan perangkat ini, diharapkan dapat menekan penyebaran virus covid-19.
Abstract— Malaria is an endemic disease transmitted by Anopheles mosquitoes, which causes increased morbidity and mortality (morbidity and mortality), maternal and child health disorders, intelligence, labor force productivity, and detrimental to tourism. From these problems, a tool was developed to monitor endemic malaria areas in real-time by using temperature and humidity data for an area. Then analyzed using the profile matching method to calculate the weight/score gap in temperature and humidity conditions using interpolation, the data will be sent by the DHT 11 sensor found on NodeMcu. The application used to find out in real-time using the Blynk application as an internet of things board with a Wifi connection for the next step NodeMcu requires coding using the Arduino IDE program, for testing the location system used consists of 5 locations namely: L1 = Jl.Magelang, L2 = Jl.Maguwoharjo, L3 = Jl.Babarsari, L4 = Jl.Wates km9, L5 = Jl.Ali times km 8. Obtained temperature and humidity data (L1 = 36.30), (L2 = 18.32), (L3 = 23.45), (L4 = 38.33), (L5 = 35.53), then the gap weight calculation using the interpolation method obtained temperature and humidity data (L1 = 3,800; 3,974), (L2 = 4,600; 4,179), (L3 = 5,000; 5,000), (L4 = 3,400; 4,282), (L5 = 4,000; 5.00), the results obtained from rank 5 locations are malaria-endemic areas, rank 1 = L3-Babarsari, rank 2 = L5-Jl.Kaliurang km 8, rank 3 = L2-Jl.Maguwoharjo, rank 4 = L1-Jl.Magelang, rank 5 = L4-Jl.Wates. from the ranking data, the location must be prioritized L3-Babarsari. Keywords—: Malaria; DHT 11, NodeMCU; Profile Matching; Blynk.
Indonesia’s geographical location as an archipelago makes this country has a humid tropical climate. This climate will affect asthmatics. Asthma attacks a patient suddenly, this is very dangerous especially if the patient is a child. Before attacking usually, asthma will react to the body with the characteristics of changes in breathing frequency, pulse frequency, mild, severe, even to the point of stopping breathing. Asthma attacks will be very dangerous for children who are not under the supervision of their parents (being in school for example). It can be imagined if asthma with severe clusters aims. The purpose of this study is to propose the design of wearable-type devices used in children at home to facilitate monitoring of asthma attacks through the internet network.
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