Journal of Informatics And Telecommunication Engineering
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Design Of Triangular Array Microstrip Patch For Antenna 5g Application
Get PDFThe trend of research on microstrip antennas in the millimeter frequency range has been hotly discussed in recent years. With the aim of increasing the bandwidth, beam gain and return loss in accordance with the standards of 5G needs in a fairly small dimension and low complexity. Previously, several studies of microstrip antennas with conventional patches have been carried out, then followed by a triangular array patch model. The antenna designed using Duroid 5880 substrate with a thickness of 1.575 mm and a dielectric constant value of 2.2 was simulated using Computer Simulation Technology (CST) software. The simulation results work at a frequency of 28 GHz with a return loss value of -26.98 dB, VSWR 1.09, gain 8.8 dB, HPBW value of 25.6° and main lobe of 21.0 dBi. This antenna can work well on millimeter wave range for 5G technology. Compared with previous studies of microstrip antennas, this triangular array patch antenna provides better measurement results
Temperature Control System for Heating-Holding Heater Based Arduino With Monitoring Via Webserver
Get PDFHeat and hold method is a method with temperature containment techniques in accordance with desired temperature and time functions. This technique aims in adjusting the characteristics of microbial resistance to temperature and saving energy consumption. In this study, a tank with temperature control system was designed for heat and hold the temperature according to the system requirements. Control of the temperature in the heating tank can be done based on the Arduino microcontroller. Arduino reads data from the temperature sensor and activate the heater according to temperature set on the Arduino. Arduino Ethernet Shield acts as Arduino data communication with a database connected to the internet network. The results of this study are in the form of a prototype that shows an IoT-based temperature monitoring tool that can be accessed anywhere via Web-based monitoring system interface. The test was carried out in 2 stages, namely testing by determining target of heater and testing with Holding and Heating with a delay of 10 minutes and 20 minutes. The heating tank temperature control system maintain a temperature of 40oC, 50oC, 60oC for 10 minutes. The temperature holding condition at a certain time is called holding. Henceforth the system temperature is at 70oC
Minang and Indonesian Pharase-Based Statistical Machine Translation
Get PDFThis research focuses on making a phrase based statistical machine translation for Minang – Indonesian language as well as seeing how well the machine translation results. The source of training and test data in the form of parallel corpus and monolingual corpus that taken from Minang Wikipedia language and Indonesian news website. Two test case scenario were tested in this research that based on the language model and translation model. To see how well the translation will be seen by using Bilingual Evaluation Understudy (BLEU). The result showed that the testing for the first scenario have a significant impact compare to the second scenario in terms of translation. The lack of corpus resources is a problem in building phrase-based statistical machine translation
Machine Learning for Detection of Palm Oil Leaf Disease Visually using Convolutional Neural Network Algorithm
Get PDFArtificial intelligence (AI) merupakan bidang ilmu pengetahuan yang saat ini menjadi isu yang menarik dan masih diteliti secara luas. Salah satu cabang dari pengembangan AI adalah computer vision yang di dalamnya terdapat topik pembahasan image classification dan object detection. Machine learning dapat dimanfaatkan di dalam bidang computer vision untuk melakukan object detection dan image classification, yaitu dengan menggunakan algoritma Convolutional Neural Network (CNN). CNN banyak digunakan pada penelitian terdahulu karena akurasinya yang tinggi. Pada penelitian ini, CNN digunakan untuk mendeteksi jenis penyakit daun tanaman kelapa sawit, dengan dataset sebanyak 60 gambar, dimana 50 diantaranya merupakan daun dengan 5 jenis penyakit berbeda, yaitu Curvularia sp, Cochliobolus carbonus, Capnodium sp, Drecshlera, dan defisiensi unsur hara. Sedangkan 10 sisanya merupakan gambar daun sehat. Hasilnya, CNN dapat mendeteksi penyakit daun kelapa sawit dengan akurasi yang dihasilkan mencapai 99%
Moodle Web-Based Learning Constraints toward Student Learning Interest Using C4.5 Algorithm during Covid-19 Pandemic
Get PDFThe Learning System during the Covid-19 pandemic shifted from offline learning to online learning which made many campuses use various E-Learning platforms. However, most campuses use Moodle Web-Based Learning because it provides many features that can support lecturers and students in the online learning process and can be accessed via a laptop or smartphone. The problem is, some students experience constraints in following this learning model that affects the ups and downs of student interest in learning, so it is necessary to find the obstacle factors that hinder students during Moodle Web-Based Learning. The C4.5 algorithm generates a decision tree that can be used to predict good results and provide accurate information. The purpose of this study was to find the relationship between the contraints experienced by students while following the Moodle Web-Based Learning model toward students' interest in learning using the C4.5 algorithm. The results showed the main contraint that affects the decrease in student learning interest is influenced by the learning features used by lecturers at a time when online learning is incomplete, network quality is not good, students consider Moodle Web-Based Learning less interesting while the increasing interest in student learning is influenced by the learning features used by lecturers at the time of online learning is very complete , good network quality, students use laptops or computers in following moodle Web-Based Learning and students find Moodle Web-Based Learning interesting
Design and Implementation of Lightweight Virtualization Using Docker Container in Distributing Web Application with Experimental Methods
Get PDFThe rapid development of website-based applications that can be accessed on various computer platforms and smart phones, causing the infrastructure of web application deployment, especially servers, is needed. This causes sometimes the organization needs to invest in a server. With virtualization, companies can create multiple servers on the same machine, and each server functions as an individual machine. Lightweight based virtualization or known as containers is an approach where the host operating system is shared with a virtual server which means that the parent kernel is shared with virtual servers or containers. The method used is an experimental method, this study measures the effect of a particular treatment on a variable with different treatments. Research variables carried out in the lightweight virtualization system research, including: throughput, Average Latency, response time and Dropped Request. The treatments in this study were tested with 100, 200, 250 and 300 connections simultaneously with 1000, 3000, 5000, 7000 requests.The server service design uses container-based virtualization for the webserver with 2.8 Ghz (4 core) Intel Core i7 processor specifications, 2 GB memory, 80 GB M2 SSD storage, and Gigabit Ethernet capable of handling 250 requests simultaneously, but cannot be accessed when handling 300 requests simultaneously
Comparison between SAW and WASPAS Methods in Determining the Location of the Transit Warehouse of PT. TG
Get PDFThis study aims to determine the location of the transit warehouse of PT. TG. For reasons of corporate strategy, so that PT. TG conducted a search for warehouse transit locations by considering five factors. The five factors are population density, distance from the head office, ease of access to the location, land price factors, and social environmental factors. The search for the location of the transit warehouse was carried out precisely to support the progress of the company. The five criteria are grouped into two types, namely benefits and costs. Management of PT. TG provides six alternative warehouse transit locations. Selection of location for the transit warehouse of PT. TG is important because the warehouse is an important facility in a company. The warehouse has an important role in ensuring the supply chain for inventory goods. The method used is the Simple Additive Weight method and the Weight Aggregated Sum Product Assessment method. The results of the weight calculation against the criteria produce an option that can help the management of PT. TG in making the decision for the location of the transit warehouse. One of the six alternatives will be selected based on the value of the largest V or Q calculation. The results of the processing of the SAW method and the WASPAS method show that Sunggal Subdistrict is the best location, with results V = 0.773 and Q = 0.746
Implementation of Automation System to Control Machine Voltage of Electroplating Process
Get PDFTechnology has been proliferating and it has been creating a new term in the world of technology. One of the new terms that have emerged along with technological development is The Fourth Industrial Revolution. In line with the revolution, this research has a purpose of creating a smart manufacturing concept that involves several components such as software, machines, and certain tools such as RFID. This research will be designed and developed using software development method in the form of a waterfall method and this research will use C# programming language released by American multinational technology company, which is Microsoft to create the software. This research will be assisted by several hardware devices such as RFID Reader that will serve as a tool that will read information stored in RFID Tag and RFID Tag that will be used to store information needed by system. The output of this research is a software that is capable of automating voltage adjustment of electroplating machine, monitor the voltage and ampere of the machine, and able to aid users on the electroplating proces
Integration Face Recognition and Body Temperature
Get PDFCommonly, absence is done manually on the prepared paper. This thing is less effective because wasting time and distract student's focus in the classroom. To solve that problem, this research is using Face Recognition. Face Recognition is a face detection technology. This technology is using Artificial Intelligence (AI) to indetify faces. Face Recognition also can reduce the way that student pretend present but in fact is not. This tecnology is better than convetional method. In application, camera is used to record and detect faces. We used Raspberry Pi 3b as a main part. Moreover, in this research, we integrate face recognition with temperature sensors and buzzer Testing in each component is on average successful and some fail. But it is in accordance with the rules of the system made
Distributed Denial of Service (DDoS) Analysis on Virtual Network and Real Network Traffic
Get PDFData communication, computers and computer networks increase the needs and facilitation offered by a variety of server services that are owned by individuals and companies. Servers are the core of continuous communication on the internet and the main factor in the life, development and death of individual businesses or companies that rely on the internet. The other side is also developing rapidly targeting server attacks from starting to weaken performance to crippled, the most popular in the hacker world, namely attacks by bombarding servers with many requests from one computer or more, with one machine to thousands of machines. This study implements several DDoS attack techniques targeted at virtual servers and real servers to determine the type of protocol used and its accuracy and reliability. The research method uses the concept of Robert Maribe Branch (2009) or ADDIE which consists of Analysis, Design, Development, Implementation and Evaluation with the results of successful attacks on the HTTP header on the virtual network and on the real network 85.68%, while the TCP has an accuracy value. 87.75% and the real network produces 90.02%. In addition, the attack using the ping of death on the virtual server was successfully carried out and the real server had an accuracy value of 41.45% so that the attack on the TCP protocol was declared very effective in crippling the target PC or server. Â