Elektron Jurnal Ilmiah (EJI - Department of Electrical Engineering, Politeknik Negeri Padang)
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158 research outputs found
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The Design of Accident Detection and Tracking Systems on Motorcycles
Full text linkMotorcycles are type of vehicles with the highest accidents percentage every year. The location away from the settlement and the time of the accident is one of the factors that slow down the spread of information about accidents. This study aims to make a tool that can send such information in the form of notifications and crash site points to the victims’ families. Testing was conducted by looking at the sensor response detecting tilt on the motorcycle against the large reading angle. Furthermore, GPS module accuracy testing is conducted in reading the location by comparing GPS module readings with actual location points in Google apps Maps which is then calculated by using the Haversine Formula method up to gsm module capability testing for send SMS notifications in the form of latitude, longitude, and links that can connect to the Google Maps app. Based on the results of the trials and analyses that have been conducted, the slope sensor response area to transmit crash notification is <=50° or >=50°. After that, the GSM module will send notifications and location points detected by the GPS module with an average reading difference of 2.97 meters
Monitoring dan Kontrol Gas CO Dalam Ruangan Berbasis Pemrograman LabVIEW dan Mikrokontroler
Full text linkCarbon dioxide is gas produced by industrial pollution and motor vehicle exhaust emissions. The air is declared clean and healthy for human activities if the CO level does not exceed 15 ppm. Industrial pollution or motor vehicle pollution does not only pollute the outdoor air, but it is very likely to pollute the indoor air. For this reason, a system that is able to monitor and control CO levels in the room has been designed so that it is safe for users while doing this activities. The research stage is carried out by making a series of sensors to detect CO gas and then the sensor circuit is connected to the Arduino UNO microcontroller as an interface with a PC. The program used is LabVIEW programming as a neural programming for displaying Virtual Instruments as display media. The output system is an air purifier system that cleans the indoor air when the CO level is more than 15 ppm. Based on the results of trials and analyzes, the response of the sensor system is able to detect changes in CO gas within 7 seconds. The average monitoring of CO levels result when observed 30 times was 11.47 ppm. The air purifier response time is able to restore indoor CO levels to the maximum threshold of 15 ppm in the fastest time of 3 minutes and 22 seconds
Implementasi Pengolahan Citra Untuk Identifikasi Daun Tanaman Obat Menggunakan Levenberg-Marquardt Backpropagation
Full text linkDigital Image processing implementation can be applied to identify medicinal leaves, because it can help the elderly and people with color-blindness in identifying medicinal leave to be consumed and in avoiding reading errors, since some leaves have similar shape and color . In this discussion, the feature-extractions are using color and shape features, and using Levenberg-Marquardt for pattern recognition algorithm. The success of this medicinal plant identification system resulted in fairly good accuracy. The backpropagation network architecture used two hidden layers with 10 and 5 neurons. Data training is using 60 training leaf images with 15 images each of 5 types: green betel leaf, red betel, soursop, castor and aloe vera. Then, offline testing is using 20 test images for each of 4 images from 5 types with the accuracy of 85%. Meanwhile the online (realtime) test is using 20 times for each leaf types so the accuracy is 88%
Monitoring Polusi Udara Dan Kebakaran Berbasis Android
Full text linkA fire in a building or office is one of the main cases that is currently being serious attention for businessmen and government agencies. Considering there are no activities in an office during nights and holidays, makes the business owners feel uncomfortable leaving the office. To overcome this problem, a sensor is to monitor a situation in the office whether there is a gas leak or a hotspot. It is hope that air pollution and fire monitoring tool can help to prevent fires. The way this tool works uses the Arduino Uno to retrieve data from the gas sensor and flame sensor. The data will be sent to the Ubidots server via NodeMCU ESP8266 as wifi or the internet. The monitoring display can be seen via Android and when there is an emergency, the ubidots server will immediately notify the room owner. The result shows that the effective distance of the sensor is around 10cm to 50 cm and the overall system runs wel
Rancang Bangun GPS Tracker Pada Kendaraan Bermotor Menggunakan SIM7000 NB-IoT Berbasis Arduino
Full text linkThe rise of motorcycles today is in line with the increase in criminal acts such as motorcycle theft. Even though it is equipped with a security system such as a shutter key and ignition key, motorbikes can still be broken into by burglar specialists. When a motorcycle theft occurs, what the community can do is report the incident to the police and the community takes a long time to find the whereabouts of the missing motorcycle. Based on these problems, an additional security system was designed for Arduino-based motorcycles by utilizing GPS and SIM7000 modules. With the help of a simple application on the user's smartphone, this motorcycle security system can be tracked at any time even remotely. The results of this test obtained the coordinate points taken by the motorcycle during the route with the default time interval of 1 second. The coordinates obtained are displayed directly on google maps that are connected to the application and stored in the history application to anticipate if a motor vehicle theft occurs. The accuracy of taking coordinates on this tool is 85% when the quality of the network received is in good condition and 75% when the quality of the network received is in poor condition
Efektifitas Sensor Elektrokardiograf (EKG) AD8232 Untuk Mendeteksi Kelelahan Pada Saat Penggunaan Smartphone
Full text linkSmartphones are electronic devices that are widely used in the current modern era. Ranging from children to adults are using smartphones. Lack of knowledge from smartphone users makes the use of smartphones improperly exceeding the body's limits. This makes a variety of negative impacts of using a smartphone. One way to overcome this problem is to use an electrocardiograph (ECG) sensor. The use ECG is to determine the fatigue of smartphone users based on heart rate rhythm. The sensor used as fatigue detection is the type AD8232. The result of this process is a secure or insecure condition for using a smartphone. When BPM is worth 60 <BPM <120, the condition of smartphone users is safe, whereas when BPM <60 or BPM> 120, the condition of smartphone users is unsafe. Based on the results that have been tested, the longer the use of a smartphone, the value of the BPM will sharply be reduced
Sistem Kendali Distribusi Gas Buang pada Waste Heat Recovery Power Generation untuk dikonversi menjadi Energi Terbarukan di Indarung V, PT. Semen Padang, Indonesia
No full textThe coal combustion processes which require high temperature will produce waste heat energy. The energy can be used as generator propulsion to produce electrical energy. Thus, Semen Padang Corporation has successfully got funding from the Japan government, New Energy Technology Development Organization (NEDO) to build the installation Waste Heat Recovery Power Generation (WHRPG) located in the production area of Semen Padang Corporation, Indarung V. Furthermore, heat energy process can not be operated manually, so control system is needed to control this WHPRG performance. The operational of WHPRG can produce electricity power 196.15 MW as to reduce the electric power that must be supplied by Indonesian Electricity Corporation. Besides that, the outcome of Semen Padang Corporation can be saved 33 billion Rupiah per year and CO2 emission can be declined 33,000 tons per year.
 
Pemanfaatan Data Mining dalam Penentuan Rekomendasi Mustahik (Penerima Zakat)
Full text linkThis study applies data mining in determining recommendations for mustahik. The application is carried out using a classification method with an artificial neural network algorithm where the attributes used are age and type of work of the head of the family, the condition and ownership of the residence, the place of sewage, family monthly income, number of dependents, and diet. Tests are carried out using a combination of values between learning rate, epoch, k-fold, and hidden layer neurons. Based on the test results from the classification process, it is found that the artificial neural network algorithm has the highest accuracy when the number of hidden layer neurons is six, the learning rate is one, the fold is seven, and the number of epochs is 200, which is 92.09%. The test results are then displayed on the Mustahik information system page
Perancangan Aplikasi Chatbot Sebagai Media E-Learning Bagi Siswa
Full text linkThe conventional question and answer method has limited time, space and level of understanding from each student so that it becomes an obstacle to the ineffective teaching and learning process. Global pandemic events that have a negative impact on the education sector. So that the teaching and learning process is temporarily stopped at school and diverted online. This study aims to produce a chatbot application as a media for distance learning that helps the teaching and learning process of teachers and students . In practice, This research uses telegram as a chatbot media. The method used for data collection is by interview, literature study, and observation. Testing will be carried out with a black box, calculation of accuracy, and a user acceptance test in the form of distributing questionnaires. The results of this study produce a Chatbot Application as an E-Learning Media for Students that can help teachers in providing distance learning to students efficiently and easily.
 
Sistem Otomatis Pompa Air dan Sabun pada Wastafel Pencuci Tangan
Full text linkWashing hands is an activity that should be routinely carried out by every individual, especially during the COVID-19 pandemic like today. There are many factors that make someone feel lazy and don't want to wash their hands, one of which is not wanting to be bothered by hand washing activities such as taking soap, turning the faucet and others. Experiments have been carried out in the form of testing the response of the sensor to detect the user's hand based on the distance and the reading angle. Furthermore, the ability to set the delay time for rubbing hands is tested to activate the water tap pump for rinsing. Based on the results of trials and analyzes carried out, the sensor response is obtained at a minimum distance of 4 cm and a maximum distance of 140 cm with a view or response area of 1100 horizontal positions and 850 in the vertical position. The water pump and soap pump are active for 3 seconds when the user's hand is detected by the sensor approaching the end of the water tap. The water tap pump comes back on after being delayed for 23 seconds, and the system is able to operate 100% automatically. Thus the minimum time for users to rub their hands for 20 seconds according to health standard protocols can be met