Jurnal Jaringan Telekomunikasi (JJT)
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Design and Build a Snail Habitat Control and Monitoring System Using Web-Based Fuzzy Logic
No full textSnails or with the Latin name Achatina fulica are soft-bodied animals with shells on their bodies. Snails can be found in Indonesia during the rainy season, but are quite difficult to find during the dry season. This is due to high temperature conditions and low air and soil humidity during the dry season, making it difficult for snails to survive. Therefore, a system is made that can see the physical condition of the environment and control it using fuzzy logic because snails can survive in a certain temperature and humidity range. To see the physical condition of the environment, this system uses a DHT22 sensor, a soil moisture sensor and a BH1750 sensor. The results of the sensor readings of air temperature, air humidity and soil moisture will be sent to a website which will later be processed using fuzzy logic and will receive a response in the form of an actuator activation time range in the for
Design and Development of Assistive Canes for the Blind Based on IoT-Integrated Fuzzy Logic Using LiDAR Sensor Time of Flight VL53L1X
No full textVisually impaired individuals often face difficulties in performing daily activities due to their limited visual senses. In order for the visually impaired to navigate without collision, a device with a system to detect obstacles in its surroundings is needed. In this study, a assistive cane has been designed that utilizes a fuzzy system based on the Mamdani model to detect obstacles. The main controller is an ESP32, equipped with two LiDAR VL53L1X sensors as inputs, capable of detecting obstacles up to 4 meters away. Family members can monitor the position of the visually impaired cane integrated with GPS through an Android application. The results of this study obtained an average error rate on the reading of two LiDAR Time of Flight Sensor devices with the VL53L1X type against obstacles in front of the stick of 0.00136% and sensor one has an accuracy of 99.85925% and sensor two has an accuracy of 99.862175% against the distance of obstacles in front of the stick. The blind cane made has an average battery life of 1 hour 35 minutes 83 seconds for random navigation, namely there are obstacles and no obstacles in front of the stick. Overall, the system can run well. The blind cane can classify the level of obstacles in front with the category of close at a distance of 0 - 100 cm, medium 101 - 150 cm, and far 150 - 400 c
Smart Office: Implementing IoT for Enhanced Efficiency and Connectivity
No full textIn office buildings, control of electrical devices is still carried out manually using a switch, namely by turning off and turning on electrical devices directly or manually, the result is inefficient and ineffective. To overcome this problem, it is necessary to develop so that electrical control can be carried out automatically and more broadly at the same time can be monitored via a cellphone by utilizing Internet of Things technology. In this study, the implementation of the Internet of Things made in this smart building includes a gate control system using an ultrasonic distance sensor, monitoring light intensity using an LDR light sensor and the condition of the lights in front of the building's terrace, monitoring movement in the room using a PIR motion sensor for control. The use of this technology also covers the field of building security by using fingerprint sensors for office employees. Tests in this study used LDR light sensors which produced a small average error of 0.062%, ultrasonic sensors which produced a percentage of success values of 50% on ultrasonic sensors outside the building, and 70% on ultrasonic sensors in the building area. In testing the PIR motion sensor can detect up to 51 cm which is more than enough to detect movement within the building area. As well as a fingerprint sensor that can be read with a delay of 6 seconds to read fingerprints, update fingerprint sensor data to the database and relay
Designing Image Processing-Based Banknote Identification Device for Blind People
No full textMoney is a tool used all over the world to make buying and selling transactions and must reach an agreement to complete the transaction. It is certain that everyone needs money as a daily necessity, even for people with disabilities such as the blind. The limitations of blind people are problems in vision and relying on hearing for communication. The method used is a camera that detects the images contained in banknotes and sends data to the Raspberry Pi as the main controller in the system. The Raspberry Pi will process the received data signal and produce output in the form of sound. Tests carried out by calculating the success of the tool in detecting each currency. And from testing the data, it was found that the success of reading the system is almost 100% in all tests that users can use to identify banknotes
Design and Development of Augmented Reality Applications in Computer Network Topology Animation
No full textTechnology can be applied in the development of teaching materials to enable students to explore material outside the classroom. One of the relevant technologies is Augmented Reality (AR), which allows the appearance of three-dimensional objects in the real world. One of the courses that has significance in the realm of information and communication technology is computer networks. However, this course faces several obstacles in implementing the teaching and learning process, including high equipment costs and expensive maintenance requirements. In addition, the teaching methods currently used still tend to be monotonous. Given these factors, the objective of this study is to incorporate Augmented Reality technology into the teaching of computer network courses. An Augmented Reality application has been developed and tested using the black box method. This approach has the advantage of assessing software quality, ensuring that the software meets desired expectations Test results on mobile devices state that the application developed can be installed on two mobile devices with different specifications. The marker test was also declared successful up to a distance of 100 cm. All buttons and features in the application run smoothly and function well. The application designed and developed possesses the potential for use in additional courses necessitating object visualization. In addition, the developed application supports users with special needs because there are audio features in each material. For future research, it may be considered to use a markless-based method because it is more flexible and does not require markers
Analysis of Node Router Performance with Babel and OLSR Protocol on MANET in Disaster Area
Get PDFNatural disasters are events caused by nature, including earthquakes, tsunamis, volcanic eruptions, droughts, hurricanes, and landslides. Natural disasters can cause telecommunications infrastructure to become damaged or malfunction. Therefore, flexible network technology is needed and does not depend on infrastructure, so that when the existing infrastructure is not functioning, humans can still communicate. One of the network technologies that is flexible and has infrastructureless characteristics, or basically does not require infrastructure, is Mobile Ad-hoc Network (MANET) technology. So that MANET technology becomes an option that can be a solution to existing problems, namely when a natural disaster occurs and the existing telecommunications infrastructure doesn't function. In the MANET network to communicate data between nodes that are far apart, it takes hops to a node in order to communicate, when a node is selected as a hop, the node will automatically act as a router node, the role of the router node is as a successor or communication liaison from a node to other nodes. In a router node, the parameters that are considered are CPU usage and RAM usage, because with increasing communication the router will process more data so it will take time to process the data, this will cause delay process. In this study, the performance of router nodes on Babel and OLSR will be discussed on the performance of router nodes on a fixed network with a stationary, moving and swapping node testing scheme. The parameters used in this study are CPU usage, RAM usage, and delay process
Design and Build a Prayer Rak’ah Reminder Device for Elderly People with Pose Detection Using MediaPipe Based on Raspberry Pi
Get PDFEstablishing the five obligatory prayers is a necessity that Muslims must undertake. Problems often occur in people with memory problems, such as the elderly. Obstacles that often occur include forgetting the rak'ah and difficulty remembering the next pose to be performed. New technologies continue to emerge including digital imagery. Digital imagery can be used to help with these problems by utilizing pose detection using the MediaPipe library. MediaPipe is used to determine body parts visibility and joint angles captured by the webcam to detect performed pose. By detecting the pose, the output is then generated in an LED Matrix display namely the rak'ah and pose. The results of this study showed that the percentage of success in identifying ruku’ is 93.73%, i’tidal is 94.12%, sujud is 92.55%, first tahiyah is 89.17%, final tahiyah is 82%, with the highest percentage of 98.04% in standing pose. The pose detection success percentages based on the distance between the performer and the webcam are from 150cm is 91.88% success percentage, at 200cm success percentage is 92.42%, and at a distance of 250cm is 93.75%, with the highest success percentage at the distance of 250cm. The system average delay for detecting poses is 1.028 seconds
Implementation of LoRa on entrance and exit communication as determination of access to AI building, State Polytechnic of Malang
Get PDFThe COVID-19 pandemic has changed many areas of life. One of the consequences is that the learning zone causes reduced mobility and limited face-to-face meetings. State Polytechnic of Malang in overcoming face-to-face learning, especially practical learning in the AI ??Building, of course, many students, not only have the need for practical lectures. The research that the author is doing here is a field research using a quantitative approach. This research was conducted at the AI Building of the State Polytechnic of Malang. In collecting the data needed the author uses observation techniques. Discussion used data analysis methods. The results of the research for the RSSI pattern with the transmit power set at 18dBm lora and the antenna frequency used at 433MHz obtained the RSSI value. At a distance of 2m to 8m there is a decrease in RSSI starting from -57dBm to -80dBm, continuing from a distance of 8m to 42m there is an ups and downs in RSSI. The throughput result is strongly influenced by the value of bytes and the time the throughput value when done twice scanning is smaller than four times scanning because the scanning processes have different times, this is in accordance with the calculation formula
Design and development of a web-based compensation information and registration system using biometric fingerprint approval delivery using telegram bot digital: registration and submission of compensation using the fingerprint and telegram websites
No full textCompensation is an activity carried out by students outside class hours as a sanction for the student's absence from attending scheduled lectures. In this era, information is really needed, especially information on compensation in lectures. Initially compensation on digital telecommunications networks was still done manually or by coming directly to the admin to ask about compensation. But after this system is created, it will improve the compensation system on digital telecommunications networks. Students only need to access the website and no longer need to come to campus to find out information about compensation. The website has been designed in such a way to make things easier for students. This system is very useful for students because all compensation matters can be done via the website so it will be more effective for students. The problem with the Digital Telecommunication Network Study Program is that 84% of students have not compensated and only 16% of students have compensated. Based on these problems, development was carried out in the form of designing a web-based compensation information and registration system using biometric fingerprints for sending compensation agreements using a telegram bot. The information system used is a series of biometric systems with fingerprint sensor devices with FPM10A module, Telegram Bot, Arduino and ESP32 features and produces a system prototype that can provide information about compensation and compensation registration to polynema students so that it can make things easier for students of the Digital Telecommunication Network Study Program Malang State Polytechnic in paying compensatio
Design of Smart Door Lock System Using Face Recognition and Mask Detection Based on Viola-Jones Algorithm with Android Integration
Get PDFIndonesia has been affected by COVID-19 since 2020. In order to stop the virus spreading, the government puts Large Scale Social Restrictions. There is no denying that during this pandemic, criminality is increasing, and this is due to nothing other than the need to survive. The stealing and invading of homes is one of the crimes that have increased. Additionally, the government has strengthened health procedures to require that individuals wear masks while doing activities outside. A system that can identify faces and identify the use of masks was developed in order to solve this issue. Face recognition is used to increase security, and mask detection systems work to enforce the wearing of masks when engaging in outside activities. Both of these technologies can be combined into a single smart door lock system for the home. The system will apply facial recognition identification when someone wants to enter the house and mask detection when they want to do activities outside the house. As a monitoring tool, data will be delivered in the form of an image via the user's Android. This is proven by the accuracy rates of facial identification of 95% and mask detection of 97.5% in this research