Analysis of Data Communication on gunshot wound for Fast Fighting Engineering Exercises LoRa 1278 based
To assist soldiers in training agility and accuracy, a technology is needed for movement and targets, many factors need to be considered, such as field conditions, target movement and personnel movement towards the technology used, understanding of shooting theory and the physical and psychological conditions of the personnel themselves. To realize this application, the writer uses communication to move the gunshot wound to be tested using a long-range radio nRF24l01 which functions to send and receive data between the sensor and the gunshot wound, and Lora 1278 is used to transmit data obtained from the detection of microwave radar sensors processed by Arduino which is then sent to the receiver on a gunshot wound. Parameters consisting of throughput, delay, packet loss, RSSI, and SNR greatly affect the quality of data transmission, and from testing the best data quality can be obtained at a distance of 50 meters. Based on the test data for the distance of 80 m, 70 m, and 50 m, the greatest delay value was obtained at a distance of 80 m at 0.143 s, with packet loss of 0.75%.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 1-11
Association for Scientific Computing, Electronics, and Engineering (ASCEE)
Copyright (c) 2021 IOTA (Internet of Things and Artificial Intelegence) Journal
RCWS Control System Design Based on Raspberry Pi
The Raspberry Pi was used in Control system projects, this project is intended to realize a system, i.e., the Raspberry Pi-based RCWS control system, where the RCWS movement uses a DC motor therefore, that it will make it easier for shooters to reach their targets.Thus, the shooter can determine the position of the weapon that will be used at a distance from the shooter's position by using the smartphone screen to monitor the target or target to be shot. The test results show that [1] Raspberry Pi can be used to control RCWS to move towards elevation and azimuth angles when determining the target determined via a web browser, where the voltage generated by the GPIO pin is in a low condition of 0.5mV whilein high conditions it is equal to 3,282V.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 12-25
Implementation of The Speech Recognition System Using a real time web Server Based
a Speech Recognition is a system used to recognize word commands from human voices and then translated them into data that can be understood by a computer. The advantages of Speech Recognition include speed and ease of use. Merdeka Malang is a private university founded on January 29, 1964. The University of Merdeka Malang still doesn’t have a strategy in recommending new students based on historical data calculations in choosing faculties. and majors. In calculating the history, if you use a manual system, they will be constrained by the time and accuracy of the data, causing the data to be less valid.Therefore, there is a need for a system that can exchange data in real-time so that the data displayed is always up to date without manual data updating. This process is useful for monitoring and accelerating the process of calculating student interest data, which can later be recommended to future new students. Moreover, The speech technique used is using speech recognition which is used for processing speech data on smartphones while sending data using the XAMPP web server which is used to exchange data from smartphones to servers.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 26-37
Design of Smart Green House Using pH and Water Temperature Optimization in Lettuce, Hydraulic Plant Media based on Arduino Uno
In terms of cultivating lettuce using hydroponic media there are several things that mustbe considered such as pH levels, water temperature and sufficient light requirements.Manually checking is done so badly by the farmer that it takes a lot of time, therefore an automation system is needed in this case to overcome routine checks. This system is an alternative to modern control systems to optimize the control of pH levels, water temperature of Arduino-based lettuce plants, and the addition of a 40 watt LED lamp, pH measurement using the SEN0161 pH sensor, for measuring water temperature using the Ds18b20 sensor. Control of pH and water temperature is carried out automatically, using a peltier as a coolant and a selenoid valve as a dropping liquid pH until it reaches the required value, i.e., a pH level of 6.0-7.0, a water temperature <27 ° C and a 40 watt LED lamp as an addition to light intake in plants The stability of water temperature and pH levels that are always maintained by this tool can save time for farmers in routine checking of pH and water temperature, this tool also produces better growth of lettuce compared to the usual method.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 38-49
A ZigBee Test Performance with DHT11 Temperature sensor
This study aims to examine the ability and Performance or Quality of Services of the IEEE 802.15.4 or ZigBee Radio Frequency module on the sensor node ZigBee based. Furthermore, ZigBee's communication capabilities i.e., Tree, Star, and mesh networking were developed on the internet or Internet of Thing using RaspBerryPi 4 as the Internet Gateway. The sensors used e.g., Pulse sensor and temperature and Humidity Sensor. Moreover, the Spectrum Analyzer is used to measure the Radio Frequency Value (-dBm) per Channel (CH1 to CH12) on the Zigbee module (EDs and CN) communication at different distances,on the Mesh or Tree ZigBee Communication, ZR can be used, at Point to Point ZigBee, the role of ZR is neglected. Energy efficiency battery ZigBee sensor nodes need to be considered to obtain sensor nodes Long Life, moreover, RSSI (-dBm) is the key to the analysis of sensor node communication systems on different sensor node clustering, including Throughput, PacketLoss sensor data, and data analysis on Application Server.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 50-62
A Student Grouping Based on Final Exam Values of the Courses with the K-Means Classification Method Using KNIME
Kmeans, Classification, Machine Learning, Unsupervised Learning, Students Classification, Online Learning.
In learning, each student must have a different way of learning and learning patterns which will have an impact on the results of their learning evaluation at the end of each semester. Assessing a student who excels in learning is one of them by looking at the score of the final exam results that maybe the student can easily get good grades because they do have expertise in that field or get good grades because they are diligent in studying. The scores of students' final semester exams in several courses will be summarized here in order to be used as a basis for classifying students into several groups, namely smart, average, and less good students.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 114-119
Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal
Electricity Monitoring System based on Fuzzy Logic and Internet of things
a smart home concept that has a remote control system based on the Internet of things, to provide convenience and security for owners to control household electronic equipment such as lights, tv, and fans, not only controlling the house but homeowners can monitor power, voltage, current and electricity bills in real-time as well as the status of the electrical load used in a lit state or not. And users can also limit the use of power to prevent overloads that impact rising bills or electricity usage costs—monitoring lighting automatically on the house's terrace using the fuzzy logic method and monitoring bathroom lights by detecting the presence and absence of movement. The switch system on electrical devices can be replaced using the ESP8266 microcontroller to be connected to android with the Openhabian application installed. This control system can also be done anywhere without area restrictions as long as the user can connect to the Internet.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 63-80
Automatic Foldron T-Shirt With Proportional Integral Derivative method and M5Stack for IoT-Server
The process of folding clothes is one of the activities carried out in the household, and the laundry business is one of the micro-enterprises that are mushrooming at this time. Business actors use many strategies to increase productivity and customer satisfaction. Based on research, the process of ironing and folding clothes is a process that takes a long time compared to the washing and drying process, so a method or tool is needed to make folding clothes more practical. An automatic Foldron T-Shirt is the perfect solution to make folding and ironing clothes more manageable and time-efficient. This tool is equipped with a servo motor that moves the folding board and a steam iron designed so that the user only needs to control the clothes once and simply press one button; the clothes will fold, and the iron themselves will be neatly arranged. The PID method uses an ultrasonic sensor to measure the speed distance of the wiper motor, which is used to run the steam iron so that it can stop appropriately at the end of the table. The output of this ultrasonic sensor is used as the input (set point) of the PID controller applied to the tip so that the movement of the motor can adjust its speed. Moreover, the M5Stack, equipped with 12 Channel Servo, is used to drive the servo motor on the Application Server, making it more dynamic and flexible.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 81-99
A PROTOTYPE MONITORING ELECTRICITY SYSTEM 220V OF WIND POWER PLANT (PLTB) BASED ON THE INTERNET OF THINGS: INTERNET OF THINGS
Abstract - Electrical energy is a human daily need that cannot be separated, even the need for electrical energy has increased every year. This is evident from the construction of renewable energy plants in areas with potential. In this thesis, a control and monitoring system for a vertical turbine wind power plant prototype will be made using the internet based on IoT (Internet of Things) technology. Where the IoT technology here, the author uses the Thingspeak and Blynk applications which are used to monitor the electrical energy output from the wind power plant (PLTB) and the output from the 220V inverter. The purpose of using IOT technology is to make it easier to monitor and control the voltage, current and output power of wind power plants from anywhere and anytime via the internet. For the manufacture of this tool in need of a voltage sensor, current sensor, relay, LCD and NodeMCU. The voltage sensor uses PZEM 004T which functions to read the value of voltage, current, cos phi and frequency, relay1 serves to limit the output voltage from the dynamo generator and relay2 to limit the output voltage to 220V in case of equipment problems, NodeMCU functions to process data read from the sensor, this NodeMCU already equipped with a WIFI module that functions to send data to an internet server so that it can be controlled and monitored anywhere and anytime. The results of the tests carried out measurements for 2 hours on the load of the iron, fan, television, 1 phase AC motor, soldering iron, dispenser, laptop charger, incandescent lamp, and refrigerator using the 004T PZEM sensor resulted in an error of 0.28% - 0.3%.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August]; 133-145
Teledentistry Through Web Apps And IODT - Reforming Dental Care In The Covid-19 Era: UPGRADING TELEDENTISTRY TO THE CHALLENGE
Health care affordability, accessibility, availability, and quality have long been a major concern for humanity. It is the use of telecommunications and information technology for consultations, education, and public awareness, with the goal of improving patient care and time management. Teledentistry is a form of telemedicine that is used in the field of dentistry. It is beneficial in improving services to underserved people, such as those in rural or less developed areas. The recent spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its associated coronavirus disease (COVID-19) has caused widespread public health concerns However, due to restrictions in movement, it was difficult for the patients to visit the clinics for routine check-ups. This was overcome by the advancements in technology like the introduction of the INTERNET OF DENTAL THINGS(IODT) which has a major impact on and has tremendously transformed teledentistry. Dental health app platforms using AI have made teledentistry more accessible and user-friendly. The advent of sensor and camera technologies has opened up new possibilities and breakthroughs. Furthermore, teledentistry can be a beneficial tool for peer education, consultations, and ensuring proper referral channelizing.
Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 3 (2021): Volume 1 Issue 3, 2021 [August]; 198-208