VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro
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Desain dan Aplikasi Internet of Thing (IoT) untuk Smart Grid Power Sistem
Full text linkJaringan listrik cerdas atau yang lebih dikenal dengan istilah Smart Grid merupakan salah satu bentuk transformasi dan reformasi teknologi di industri ketenagalistrikan. Smart Grid adalah jaringan energi listrik modern yang secara cerdas dapat mengintegrasikan jaringan listrik dengan perangkat komunikasi yang mendukung pembangkit dan jaringan transmisi distribusi listrik menjadi lebih atraktif, komunikatif dan berkualitas. Smart Grid juga mampu untuk mencegah dan mengisolasi gangguan dengan cepat serta menyajikan informasi data kelistrikan secara real time. Sedangkan Internet of Thing (IoT) adalah sebuah metode yang bertujuan untuk memaksimalkan manfaat dari konektivitas internet untuk melakukan transfer dan pemrosesan data-data atau informasi melalui sebuah jaringan internet secara nirkabel, virtual dan otonom. IoT secara teknis dapat mendorong dalam mengembangkan jaringan smart grid dengan mengintegrasikan insfrastruktur utama power sistem mulai dari sisi pembangkit sampai dengan konsumen akhir melalui wireless sensor network secara otomatis. Dengan pemanfaatan IoT diharapkan dapat meningkatkan keandalan sistem informasi dari jaringan listrik serta meningkatkan efisiensi terhadap insfrastruktur listrik yang sudah tersedia. Artikel ini akan menyajikan konsep teknologi smart grid, internet of thing dan membahas model desain dan aplikasi IoT di jaringan smart grid
Implementasi Metode Waterfall pada Proses Digitalisasi Citra Analog
Full text linkBidang pengolahan citra digital mulai berkembang pesat sejak ditemukannya foto digital. Kemajuan ini tidak terlepas dengan semakin canggihnya teknologi digital yang menunjang pengolahan citra digital pada gambar diam. Saat ini masih ada masyarakat yang menyimpan dokumentasi berupa klise foto yang direkam atau dipotret pada saat dahulu. Studio foto yang bisa mengubah klise foto menjadi foto digital sudah jarang ditemui pada masa sekarang, sehingga penelitian ini dilakukan untuk melakukan pengolahan gambar pada klise foto untuk menjadi gambar digital true color. Kemampuan alat bantu komputer dalam menyelesaikan masalah sangat berperan untuk mengubah citra pada klise foto menjadi foto digital. Penelitian ini menerapkan metode citra negatif. Hasil penelitian ini menunjukan bahwa dengan metode citra negatif dapat menjadikan citra klise foto menjadi foto digital.Kata kunci: Pengolahan citra digital, Citra Klise foto, Foto digital
Designing Parking System-Based Vb.Net and MySQL Using Radio Frequency and Identification (RFID)
Full text linkParking system has become a significant need for a university. A good parking system is used to ensure the user's vehicle safety. The current parking system applied in Universitas Muhammadiyah Ponorogo is still manual. Instruments of the study are observation, interview, and software development method used is waterfall method. This study has designed a parking application using RFID technology that can show users to empty parking locations so that customers can find vacant parking locations quickly and reduce queuing processes. The identification process is done when a customer enters the parking lot. Media used is in the form of RFID card. With parking applications using Radio Frequency and Identification (RFID), it changes the manual parking system into a more effective and efficient parking system
Implementation of Naive Bayes Classifier Algorithm to Evaluation in Utilizing Online Hotel Tax Reporting Application
Full text linkThe current implementation of tax reporting regional Pasuruan hotels have used online (Web-based), with the aim of reporting systems can run effectively and efficiently in receiving the financial statements especially from taxpayer property. Pasuruan as one small town quite rapidly in East Java, have implemented role models online tax filing system starting in 2015, with the amount of 6 hotels, there are several classes of hotels ranging from the budget class up to class three stars. After the application of the system running for 18 months (2015-2016), from existing data, conducted research on the analysis of the level of compliance of taxpayers reporting incomes in a hotel. On the research was designed and built a system to evaluate the level of compliance with the performance from the taxpayer (WP) in the 2nd year (2016) and are classified in categories (1) the taxpayer (WP) very obedient (ST), (2) the taxpayer (WP) is quite obedient (CT), (3) Taxpayers (WP) less obedient (KT). Input data will be processed using the technique of data mining algorithms Naive Bayes Classifier (NBC) to form the table of probability as a basis for the process of classification levels of taxpayer compliance. Based on the results of the measurement, the test results show with an accuracy of 50% i.e. 3 taxpayers is the very obedient (ST) to pay taxes. Then from the classification, the study could be made of recommendation solutions to guide the taxpayer in reporting revenues well and true
Implementation Segmentation of Color Image with Detection of Color to Detect Object
Full text linkDetection of objects in an image 2 dimensional is a process which is quite complex to do. Object detection required a computer vision approach to the desired part of the object can be recognizable computer accurately. The method in this research using waterfall method. This research will describe the application of color segmentation method with the color detection of a digital image to produce image segment object in the form of blob so that the computer can be detected. The object detection process will process the resulting color segment by the process of segmentation so that can know the number of detected objects, the area and the center of the object. This application can take pictures with laptop or notebook webcam. The result of color segmentation based on color detection is strongly influenced by color samples and color tolerance values to which the segmentation process is based. Lighting, location, texture, and contour of objects or background image will greatly affect the results of segmentation and object detection
Interactive Modules Based Adobe Director On Computer Assembling Subjects For Vocational Secondary School Students
Full text linkThis study aims to create an interactive learning module that qualifies valid, practical and effective for Computer Assembling subjects in Vocational High School. This research is a Research and Development research conducted in Vocational High School class X West Sumatra. The population of this research is SMK in West Sumatra. Samples are SMKN 6 Padang SMKN 1 Painan, SMKN 2 Pulau Punjung. The results of the assessment of the three validators overall validator test assessment of the Interactive Module of 88.67% so that the level of validity can be interpreted Valid used. Overall assessment of the practicality of the Interactive Module as a learning resource of 86.08%, so the level of practicality can be interpreted Very Practical used. And the effectiveness assessment of Interactive Module as learning resource equal to 85,25%, so the level of effectivity can be interpreted Highly Effective used
The Identification of Parasite Babesia Form on Cow Blood by Using Active Contour Model
Full text linkBabesia parasite is one of the parasites that infect the cow blood and it can cause death. Observation of blood data sample in the laboratory used a microscope equipped by optilab cameras. The form of microscopic observation of a blood must be supported by the skill of the observer to determine whether the blood is parasitic or not. This study aims to find the method of automatic search of parasite Babesia sp form by using the method of active contour model (ACM). Parasite in the blood is very likely to be detected by utilizing the science of image processing. One of the science image processing is Active Contour Model. Initial data in the form of image file was the result from the shoot using camera optilab and it had RGB color. The first data processing was done by doing the color conversion to be homogeneous and facilitated the Active Contour Model works. The preprocessing process invented the RGB-HSV-grayscale-binary/ BW conversion method. HSV was used to remove colors considered as noise. To reinforce the parasite object, the background was converted to grayscale, then the removed image of the noise color and the grayscale back-ground were converted to binary imagery. This research finds the method of Active Contour Model which can do maximum cropping on the binary image. In the grayscale image, there were still constraints with the edges of the contrast blood form with the background. The result of the implementation of Active Contour Model had accuracy 0.997, Sensitivity 0.99, Specificity 74%
Implementation of Template Matching Method for Door Lock Security System Using Raspberry Pi
Full text linkIn several locations, the security system is becoming a priority. One of the location is the laboratory. There are many valuable research tools and equipment in the laboratory, so to improve the security system. Generally, the access to entry the laboratory is equipped with a digital safety system. Computer Control System Laboratory at Information Technology Department of Jember State Polytechnic uses RFID-Card as access right for entrance to the laboratory. RFID-Card also functions as ID-Card (printed with photo and biodata) and packaged to fit in user clothes pocket. However, using RFID gives less of flexibility. The user must remove the ID-Card and attach the card to the RFID reader box. Therefore, in this study will design a door lock security system based on the image processing to replace the use of RFID. Later, the user simply positions themselves in the Pi Camera work area. Processed data from the camera, the matched with image data which stored in the database. The database contains a photo of laboratory members which listed on the employee ID-Card. Template matching method is used as image matching method which stored in Raspberry Pi database. If the image which captured by camera is matched with the image data in the database, the controller will give entry access to the user. Based on the experimental results, template matching method has a success rate of 96%
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No full textAnalysis of The Sensor Line on Line Follower Robot as an Alternative Transport The Tub Trash in The Shopping Center
Full text linkThis is a line follower robot is a robot designed to assist humans in activities such as throw away trash in the shopping center. On robot sensors added a line that consists of photodiode and LED. The robot will walk follows the path which has been given a different color (black and white) to be detected by the sensor lines at the location of the junk-filled tubs and tubs of the empty trash. The research aims to know the performance of the sensor lines and the movement of the robot with the research method using PID. The results of this study when the distance between the sensor and the surface of 5 cm – 7 cm then the performance of the sensor surface in distinguishing the line of black and white still work fine, while at a distance of 8 cm – 10 cm sensor line performance diminished. For setting the PID, P = 10 will result averaged a greater error value i.e. 9.9 so the robot will move fast but unstable, while P = 5 align the median value error – i.e. 8 so the robot will move stable (as black