IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
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Prediction of Sea Surface Current Velocity and Direction Using LSTM
Labuan Bajo is considered to have an important role as a transportation route for traders and tourists. Therefore, it is necessary to have a further understanding of the condition of the waters in Labuan Bajo, one of them is sea currents. The purpose of this research is to predict sea surface flow velocity and direction using LSTM. There are many prediction methods, one of them is Long short-term memory (LSTM). The fundamental of LSTM is to process information from the previous memory by going through three gates, that is forget gate, input gate, and output gate so the output will be the input in the next process. Based on trials with several parameters namely Hidden Layer, Learning Rate, Batch Size, and Learning rate drop period, it achieved the smallest MAPE values of U and V components of 14.15% and 8.43% with 50 hidden layers, 32 Batch size and 150 Learn rate drop.
Implementasi Komunikasi Master – Slave pada PLC OMRON CP1H
Almost all factories now use automated system, where the factory using a control system that can do the work itself and the operator are not too play an active role. With a system that runs automatically is expected to yield a production will increase with the quality of the product that generated the same no difference. Common control system used by the company in the form of PLC (Programmable Logic Controller). The system uses two OMRON CP1H PLC as drivers and integrated with CX-Designer HMI that communicate through one to one NT link and PLC controlled by CX-Programmer through the communication port USB Peripheral and RS-232. Both the input output PLC connected with USB-OPTO-RLY88 which is integrated with visual studio 2017 software using Host Link communication. The result of testing a system that compares the response time between communication port USB Peripheral with RS-232 and parallel ladder diagram with sequential ladder diagram, obtained 400 data of response time when the system was working. The result of data comparison tells that USB Peripheral port has a performance about 15% more efficient compared to the RS-232 port
Efisiensi Daya Pada Smartlock Bike-Sharing Berbasis LoRaWAN Dengan Metode GPS Duty Cycle
Bike-sharing or commonly called Public-Use Bycycle (PUB), Bycycle Transit, or Smartbike is a short-term bicycle rental system that allows users to borrow bikes from a self-serve bike-sharing station to a point. Due to technological advances, the bike-sharing system that was once simple, now also utilizes technology in its operations. The modern bike-sharing system is equipped with IoT and GPS technology that is useful for sending data on the actual location of the bicycle, bicycle lock conditions, or even for M2M communication with other stations or bikes. However, this data transmission can cause the battery to run out quickly because of frequent sending and using GSM which requires a large enough power that is 200 mA when sending data and 80 mA when receiving, so that an alternative solution is needed to be able to save power. Therefore, the GPS Duty cycle is used as a method to increase power efficiency on the smartlock. In addition to using the GPS Duty cycle, this study also uses LoRa as a data delivery medium which has lower power usage compared to GSM technology. The results of this study are the duty-cycle algorithm can increase the efficiency of power usage up to 59% when compared to smartlocks that do not use the duty-cycle algorithm. It was also found that LoRa succeeded in sending data up to a distance of 750 meters with a successful delivery of 39.3 percen
Evaluasi Kualitas Website KPU Kabupaten Kediri Menggunakan Metode Webqual 4.0 dan Importance Performance Analysis (IPA)
The year 2020 is the year that the dependence with the use of the internet. Due to the pandemic Covid-19 all activities most use the Internet. Includes information on local elections (Elections) simultaneously. As the organizer of the KPU Kediri district also utilize the internet to the success of the dissemination of information and services through a media-based web site or website. Permasa-land in this study originated from the want to know how high people's satisfaction with website KPU Kediri district. People use the website to find information on Local Head Elections (PILKADA). The purpose of this study is to find out whether it is the achievement of services to the satisfaction of the public against the use of the website KPU Kediri district. This research method using Webqual 4.0 and Importance Performance Analysis (IPA). Sample this study uses purposive sampling technique with 100 respondents from the District. Kediri. The results of the research get the value of 93,5% with the value of the gap 0,226 it can be concluded that the level of service quality website KPU Kediri district has not been according to the expectations of society. The results of the Importance Performance Analysis (IPA) shows the mapping of the cartesian diagram is expected to improve the quality of information by providing the information up to date and that the in-formation given on the web site is still not in the appropriate format or still less precise arrangement of the informa-signal. So as to make respondent confusion. Researchers give advice for the management of the website management in preparing a strategy to improve the quality of website KPU Kediri
Klasifikasi Gerakan Jari Tangan Berdasarkan Sinyal Electromyogram Pada Lengan
An electromyogram is a recording of muscle activity. These signals have been used both for medical diagnosis and engineering such as finger motion detection in healthy people and rehabilitation patients. Many studies have been conducted to map the relationship between electromyogram and finger movements, one of which is the relationship between the number of channels used and the complexity of the system. The number of channels used is directly proportional to the complexity of a system. The more complex the system, the heavier the data processing is so that it requires greater resources. Therefore, this study focuses on the construction of a classification system for human finger movements using fewer channels. The number of channels used in this study is 4. Root Mean Square is applied in a sliding window as feature extraction. The classifier used is the artificial neural network. System validation is done with 10-fold cross-validation. The test results of the average accuracy value for the thumb, index finger, middle finger, ring finger, little finger, grip, and relaxation were 89%, 90%, 93%, 95%, 93%, 94%, and 91% respectively which can be said to be quite good considering the number of channels relatively few compared to previous studies
Sistem Konfigurasi Otomatis Pada Pengendalian Nirkabel Dengan Pendekatan Context-Aware Pada Rumah Pintar
A house consists of several rooms with electronic devices inside of it. Each device has a remote control or a button to control it. With technologies have been increasing rapidly, we can control home appliances easily with our Android smartphone. However, thiscan make user uncomfortable to control, if all the devices appear simultaneously in one screen. Therefore,this project aims to develop an automatic configuration remote control system which adapts to the situation of the room to be controlled. Using Bluetooth technology in smartphone for transfering data. Usually to connect to a Bluetooth device,usermanually chooses one of the Bluetooth devicenames from the list that appears from the scan results. Therefore, the focus of this project is to develop a wireless control system that is capable of performing automatic configurationsthat suit the situation of the room. This system usesa localization method that utilizes the signal strength that Bluetooth receives or RSSI Bluetooth.The testing result of the system are able to perform automatic configuration where the system is automatically connected to the nearest room without the need for prior settings and adjust the control menu according to the situation of the room
Klasifikasi Golongan Darah Menggunakan Artificial Neural Networks Berdasarkan Histogram Citra
Blood type in the medical world can be divided into 4 groups, namely A, B, AB and O. To be able to find out the blood type, a blood type test must be done. So far, human blood type detection is still done manually to observe the agglutination process. This research applies a blood type identification process using image processing. This system works by reading the blood type card image that has been filled with blood samples, then it will be processed through a histogram process to get the minimum and maximum RGB values and pixel locations which are then classified by Artificial Neural Networks (ANN) to determine the blood type from the training results and data matching. From the test results using 12 samples, it was found that the average error in blood type identification was 16.67%
Prototipe Sistem Keamanan Ganda Pada Kendaraan Roda Dua Berbasis Android dan WhatsApp Messenger
Entering 2020, the corona virus outbreak is spreading very quickly throughout the world, including Indonesia. This encourages the Indonesian government to make efforts and take handling policies to suppress the global spread of the corona virus or Covid-19. These policies did reduce the number of spreads but created new problems, such as increasing criminal acts and coupled with assimilation rights policies (freeing prisoners) during the Covid-19 pandemic which also resulted in an increase in crime rates, such as theft with weighting, motor vehicle theft, theft accompanied by violence, mugging, to beheading. One of the reasons for the increase in theft cases is the use of the situation when everyone is focused on handling Covid-19 and also the existence of security gaps. The security gap can be minimized, one of which is by developing technological innovation, therefore the author proposes a prototype for the development of a dual security system on two-wheeled vehicles with the latest technology. The results of the study, the system can provide notification information through the WhatsApp Messenger application in real time, as well as vehicle owners can control the vehicle remotely using the android application
Operasi Morfologi Dan Kode Rantai Untuk Menghitung Luas Area Basah Kertas Saring
Calculation of wet areas carried out with the help of millimeter block paper has the disadvantage of copying the edges that are less precise and the calculation time is quite long. Another problem is the consistency and accuracy that is generated depends on the subjective factors of the person and one's fatigue. In order for the process to be faster and more consistent, the calculation process using image processing is very necessary. Image preprocessing includes cropping, grayscalling, lowpass filter averaging, convertion to binary image based on otsu thresholding, and complementing images to pixel objects of value 1. Segmentation with morphological operations, including opening operations to remove small objects around objects, Holes Filling operations to fill holes in objects, opening operations again to remove objects other than wet areas. The process of calculating wet areas uses chain code. Based on the results of testing of 81 images, the use of morphological operations is able to produce segmentation of wet areas that approach the original wet area. The scale value affects the accuracy and the best scale is obtained from the use of the ruler. The use of chain code is able to calculate the wet area on filter paper with an average accuracy of 95.73%, the value is higher than extensive use by summing the pixel value even though it is not significant. The average calculation of wet areas uses a system of about 0.8 seconds or 379 times faster than using millimeter block
Automated Air Conditioner Controler and Monitoring Based on Internet of Things
Air conditioner make electricity demand becomes higher over time. International Energy Agency (IEA) shows that electricity consumption for air conditioner will be the main trigger for the increase in world electricity demand in 2050. Higher electricity demand caused by inefficient usage of air conditioner due to human error factors. Human error that mostly happen is forget to turn off the air conditioner. This condition make air conditioner will be operate all day. This research is aim to reduce human error case that happened by making automated air conditioner controller and monitoring based on internet of things. This research use passive infrared sensor as an input to make sure air conditioner in the room is used or not and temperature sensor DHT 11 to make sure air conditioner operation. Internet of things technology is used to monitor the output from the system and control the device. Data test shows that the device works well. Air conditioner controller device works as the command and scenario that given. Error reading for temperature sensor is 0.29% and best configuration for infrared transmitter and passive infrared at radius 90°