Jurnal Jaringan Telekomunikasi (JJT)
Not a member yet
285 research outputs found
Sort by
NIST SP 800-115 Framework Implementation using Black Box Method on Security Gaps Testing on JTD Polinema’s Official Website
Get PDFThe internet is one example of a computer network that can make it easier to obtain information. According to BSSN's December 2021 report, there were 3,483,706 web application attacks. According to the BSSN monthly report, there were 3,483,706 web application attacks at the end of December 2021. The JTD Study Program's official website (psjtd.polinema.ac.id) faced recurrent hacking incidents, exposing it to DDOS assaults and defacing. As a result, security testing must be carried out in accordance with particular standards, such as the National Institute of Standards and Technology (NIST) SP 800-115 framework. Penetration testing was performed in this investigation using the Black Box testing method approach and hardening. The results of testing and analyzing security gaps on the website reveal 10 open ports and 11 various types of security holes with varying levels of vulnerability categorized as 1 high, 3 medium, 5 low, and 2 informational. During penetration testing, one ping packet was sent that could not cause any problems, and then one of the Syn Flooding attacks was carried out, which resulted in the number of shipments reaching 10,000 packets per second
Implementation of Fuzzy Logic on Watering Automation System for Palm Tree Planting Media Based on WSN
Get PDFCurrently, date palm farmers manually assess soil color and dryness without a definitive reference. Manual watering of date palms persists, although some gardens employ irrigation systems. The absence of communication infrastructure in plantations necessitates flexible network technology. The system comprises a DS18B20 soil temperature sensor and FC-28 soil moisture sensor. Temperature and humidity values identify soil dryness, determining water volume for date palm irrigation. Sensor data is stored on Arduino Uno, undergoes pre-programmed processing, and is then transmitted to the sink node via the LoRa Ra-02 communication module. The results of system testing can be concluded that the temperature and humidity sensors can detect the temperature and humidity of the growing media with a fairly small error rate. The use of fuzzy logic inference and watering automation goes according to plan. It is known that for a soil temperature of 25.31°C and soil moisture of 20%RH, the output volume of watering through the hardware is 15,31 liters. The communication module used as a data sender can also run well and stable at a range of up to 200 meters with RSSI = -105 and SNR = -7,1
Nutritional Calculating Application for Diabetes Mellitus Patients Based on Body Mass Index Using Fuzzy Logic
Get PDFThe number of patients with type II diabetes mellitus with its complications tends to increase from year to year as a result of uncontrolled diabetes. WHO and the Indonesian Endocrinology Association (PERKENI) predict that there will be a significant increase in the number of people with diabetes in the coming years and is predicted to continue to increase. DM in Indonesia from 8.4 million in 2000 to 21.3 million in 2030. Calculation of body mass index manually can certainly cause problems such as taking so long and being less efficient. One effort to prevent this problem is by designing an application that can calculate body mass index using the system. This application was built and designed with the aim of knowing the nutritional value status of diabetes mellitus patients based on body mass index. In determining the patient's nutritional value, a method is needed, one method that can draw conclusions to calculate nutritional value status with fuzzy logic based on body mass index variables which include age, height, weight, and activity. It can be concluded that the Application for Calculating Nutritional Needs for Patients with Diabetes Mellitus can display results based on Body Mass Index, with a total sample of 7 patients with type 2 diabetes mellitus. The application has also been tested for Quality of Service with a packet loss test result of 0.14% which is included in the very good category, and the delay value of 120.005 ms according to the standard is very good
Automated Water Heating Management with Internet of Things
Get PDFIoT devices can range from smart home devices such as thermostats and security systems to industrial control systems used in manufacturing and other industries. One focus of the IoT-based monitoring and control concept is monitoring and controlling water heaters based on IoT technology to support the creation of a smart home. The purpose of this research is to create a system that can control and monitor water heaters remotely using the Android Studio application so that the water temperature in the heater can be ensured for safety, comfort, reliability, and energy efficiency. The system is designed using temperature sensors and water flow sensors, and then the data is processed with the NodeMCU microcontroller and then sent to the Firebase website to be displayed on the application. The application built can set a large amount of water and heat it to the desired temperature before sending it to Firebase and then to NodeMCU. The result of this research is an application that is able to control and monitor a water heater with an average measurement difference of 0.38 liters and an average error percentage of 7.11% The relay control system in the application has an average delay time of 3.6 seconds
A Design of Optimization of Goat Sales Based on The Website
No full textCurrently, goat farming is one of the fastest growing businesses. Developments that occur include buying and selling that can be done through e-commerce available on digital media. E-commerce can increase sales from goat breeders through complete descriptions and goat productivity. Based on the description above, it is necessary tools and systems that can help increase the productivity of goat farmers. The method used is to carry out the process of weighing goats using loadcell, measuring goat body temperatures using MLX614 temperature sensors, and RFID sensors used to detect goat ID, goat type, and weighing time. In addition, it also uses Arduino as a microcontroller and raspberry pi as a server. There are sensor nodes and server nodes where data will be sent from the arduino uno sensor server node raspberry pi 3RF24L01. Communication technique is client server designed for communication between the client node and the server so that error the data transmission smaller. The results of testing tools and systems include testing the accuracy of sensors having several sensor values ??such as RFID, Loadcell and temperature sensors MLX90614 with several points, namely for RFID itself it is concluded that the success rate is read 100%, for the accuracy level of the loadcell sensor with a comparison of some of the scales carried out 10, the average error was 0.77% and the testing accuracy of the MLX90614 temperature sensor with a thermogun comparison, the average error value before calibration was 7.565%, while after calibration, the average error value was 0.507%
Object Detection in Online Proctoring Through Two Camera Using Faster-RCNN
Get PDFThe COVID-19 pandemic has prompted changes in teaching methods from offline to online, including the implementation of exams. But many reports say that the potential for online exam cheating is very high which can compromise the credibility of the exam. The online exam monitoring system using one camera makes it difficult for officers to make decisions because of the lack of evidence and supporting data. In this study, we propose a monitoring approach using two cameras, namely a camera on a laptop to get a front view of the participant and a cellphone camera to get a side view of the examinee but because of the complexity of the problem, at this stage we only focus on the side camera. Implementation begins with the collection of video recording data, custom data sets for training and pretrained datasets from the zoo model. Training is carried out using a custom dataset to detect objects that are not recognized by the pretrained dataset. The evaluation of the training results using the COCO evaluator showed the average of the bbox-AP is 59,169. The fraud detection process is carried out using 6 exam videos with a total of 192,929 frames, producing two outputs, namely object detection videos and csv files. The csv file contains the frame number, time, object detected in each frame. The next process is to analyze the csv file and mark frames that have the potential to be fraudulent. The evaluation results show an accuracy of 0.884615385 and a recall of 0.82142857
Further simulation testing in CoopMAC-U for underwater acoustic sensor networks
Get PDFIn order for underwater wireless sensor networks to communicate more efficiently, MAC protocols are needed to control the use of acoustic channels. With the high propagation delay and the limited bandwidth available on the acoustic channel, a specially designed MAC protocol is needed for UWASN (Underwater Acoustic Sensor Networks). In this research, the adaptation of Cooperative MAC for underwater (CoopMAC-U) will be further studied to test the protocol performance. In the previous research, CoopMAC-U was simulated yet the fairness of the transmission was not simulated and tested. In this research, CoopMAC-U will be studied further and improved. The simulation result shows that the Improved CoopMAC-U protocol produces better-normalized throughput than the initial version of CoopMAC-U. The protocol is also proven that it is backward compatible between conventional mode and cooperative mode. For offered load greater than 0.2, both the initial version of CoopMAC-U and the Improved CoopMAC-U result in stagnant normalized throughputs but the improved ones double the value of the initial version
Quadcopter Take Off and Landing System with Blob Detection Method and Optical Flow
Get PDFQuadcopter is a type of UAV (Unmanned Aerial Vehicle) which is currently developing and very useful in various fields. With four motors as the main propulsion, the quadcopter has the ability to maneuver, take-off and land vertically in places that have limited space. However, in an autonomous system, the quadcopter is still difficult to operate, one of which is to keep it stable, when in a position where there is minimal GPS signal. Therefore, in this study, we will use the Blob detection method that uses the OpenCV library to determine the landing place and is assisted by an optical flow sensor, aiming to catch roll, pitch and yaw motions. The results of this study indicate that the accuracy of the lidar sensor as a height sensor with an accuracy of 82.16 % is more accurate above 30 cm, the results of distance accuracy for image processing successfully detect up to a height of 600 cm with a light intensity value of around 50-70 lux. optical flow, light intensity and altitude distance greatly affect the motion produced by the quadcopter, but it can still move stably at a minimum value of light intensity of approximately 300 lux at an altitude of 300 cm
Design and Implementation of 2x4 Octagonal Array Patch Microstrip Antennas using T-Slots at 2.4 GHz Frequency for Wifi Applications
Get PDFWireless communication requires a useful device to transmit and receive electromagnetic waves. WiFi is a particular kind of wireless communication device used to send data over the internet network. The bandwidth and signal coverage of WiFi have significant limitations. As a result, an antenna is utilized to enhance signal reception in order to solve this issue. The research method used is to compare the design of the 2x4 octagonal microstrip array antenna using a T-slot and without the T-slot to see the results of simulation and testing in terms of return loss, VSWR, gain, and bandwidth. The results of bandwidth testing for octagonal microstrip antennas without a 2x4 T-slot array are 32 MHz, while for octagonal microstrip antennas using a 2x4 T-slot array of 40MHz. The octagonal microstrip antenna without a 2x4 T-Slot array has Return Loss of -18.2 dB and a VSWR of 1.280. The 2x4 octagonal T-Slot array microstrip antenna has Return Loss of -17.6 dB and a VSWR of 1.303. The test results 2x4 octagonal array microstrip antenna gain without using T-slot produces the largest gain of 9.55dBi, and the antenna using T-slot produces the largest gain of 12.55dBi
Implementation of Mobile Ad-Hoc Network Using BATMAN Routing Protocol (Better Approach To Mobile Ad-hoc Network) for Salinity Monitoring in Vaname Shrimp Farms
Get PDFSalinity is the key parameters in the shrimp culture environment. Conventional method is by visiting each pond plot. But,due to the large number and distance between the plots, this method is less effective. This ineffectiveness can lead to less than optimal yields. Manet is applied to increase the effectiveness of checking salinity using the BATMAN routing protocol. In this study, 2 units of laptops were used that act as Node 1 and Node 4, 2 units of Orange Pi Zero as Node 2, and 3. Each device is connected to a conductivity sensor to measure the salinity. The four devices are configured with an adhoc network using the BATMAN routing protocol. This research was conducted to provide an alternative for monitoring salinity to make it more effective. Based on the results of testing and analysis of network quality, the average delay value is 22.285 ms. The low delay value affects the percentage of packet loss in the four test scenarios with an average percentage of 0.999759613 %. Memory and CPU usage in testing 4 transition scenarios resulted in an average memory usage of 0.225% and CPU usage of 0.725%. The BATMAN routing protocol does not use a lot of memory and CPU usage because it only forwards data packets without the need to process data. From these data, it can be concluded that manet with batman routing protocol can be used as an alternative communication to provide communication network services in areas where there is no fixed network infrastructure