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Aplikasi Identifikasi Huruf Braille Menggunakan Computer Vision Berbasis Raspberry Pi Ramiati, Ramiati; Aulia, Siska; Lifwarda, Lifwarda
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v9n1.707.2020

Sense of vision is a source of information on humans. Some humans are created with limited sense of sight. The blind performs reading and writing activities using Braille letters, a printed code system consisting of six dots in various combinations that are highlighted on the paper so that they can be touched. To facilitate the visually impaired and the public in enjoying the works produced by blind people, a script reading system is characterized by Braille by studying the braille characters in advance of each character. This research makes a braille letter identification system into sound using computer vision. The method, the reading of Braille character scripts by studying braille characters. First, a scanner or Raspberry Pi-based camera captures braille characters. Second, the system converts Braille characters into alphabetical shapes by processing Optical Character Recognition images. Recognition of Braille character patterns in written text using Artificial Neural Networks. The results of research on braille testing are in the form of alphabetical texts a through z, and the sound signal of the pronunciation of the alphabet uses the Text To Speech system. Braille to sound conversion system works well, with an average accuracy of system testing of 88.462%. This condition is achieved by using 70 gsm HVS paper and drawing paper with a 52 training image database. The system can only carry out the process of recognition of one character, so it can be used as a reference translator of audio-based braille characters that can be heard by the visually impaired and the community.Keywords : image processing, braille, OCR, JST, text to speechAbstrakIndera penglihatan merupakan sumber informasi pada manusia. Sebagian manusia diciptakan dengan keterbatasan indera penglihatan. Tunanetra melakukan aktifitas membaca serta menulis menggunakan huruf Braille, yaitu sistem cetakan berupa kode terdiri dari enam titik dalam berbagai kombinasi yang ditonjolkan pada kertas sehingga dapat diraba. Untuk memudahkan tunanetra dan masyarakat dalam menikmati karya-karya yang dihasilkan oleh penyandang tunanetra dibuat sistem pembacaan naskah berkarakterkan Braille dengan mempelajari karakter braille terlebih dahulu dari masing-masing karakternya. Penelitian ini membuat sistem identifikasi huruf braille menjadi suara menggunakan computer vision. Metodenya, pembacaan naskah berkarakter Braille dengan mempelajari karakter braille. Pertama, scanner atau kamera berbasis Raspberry Pi mengcapture karakter braille. Kedua, sistem mengkonversi karakter Braille ke bentuk abjad dengan pengolahan citra Optical Character Recognition. Pengenalan pola karakter Braille teks tulisan menggunakan Jaringan SarafÂ Tiruan. Hasil penelitian pengujian huruf braille berupa teks abjad a sampai z, dan sinyal suara pengucapan abjad menggunakan sistem TextÂ To Speech . Sistem konversi braille menjadi suara bekerja dengan baik, dengan akurasi rata-rata pengujian sistem yaitu 88.462%. Kondisi ini dicapai dengan menggunakan kertas HVS 70 gsm dan kertas gambar dengan database 52 citra latih. Sistem hanya dapat melakukan proses pengenalan pada satu karakter, sehingga dapat digunakan sebagai referensi penterjemah naskah karakter braille berbasis audio yang dapat didengarkan oleh tunanetra dan masyakat.Kata Kunci : image processing, braille, OCR, JST, text to speechÂ

The Design of Temperature and Soil Humidity Control with Fuzzy Method on Greenhouse for Red Chilli Pepper Seedling Anton Hidayat Hidayat; - Nasrullah; Darma Putra; - Ramiati
JOIV : International Journal on Informatics Visualization Vol 3, No 3 (2019)
Publisher : Politeknik Negeri Padang

The ideal soil temperature and humidity in red chilli pepper seedling is very important in the growth of the plant. The cultivation of red chili plants in greenhouses is very good, because the environment in greenhouses can be manipulated according to the needs of the plants. The ideal temperature for red chili breeding is 25oC to 27oC, for soil moisture drainage and aeration must be maintained during growth. Red pepper plants can grow well in moisture 50% to 70%, irregular soil moisture can cause rooting disease and root decay in plants. Cultivation of plants in greenhouses can maintain the nursery process, because the plants can be cultivated in accordance with the Operational Procedure Standards (SOP). Generally the farmers in breeding of red pepper is done in a trational way. In the process of temperature control and soil moisture using fuzzy method where the system can work automatically, which can facilitate the work of farmers in seeding plants from uncertain environmental conditions outside. In the measurements that have been done can be taken conclusion percentage error mean temperature from setpoint which have been set at the time in the morning equal to 2,48%, at noon equal to 9,79% and at night equal to 1,93%. Then each addition of 1 second watering, soil humidity rise up to 0.067%.

Analisis dan Pengukuran Tanggapan Frekuensi terhadap Redaman Serat Optik Uzma Septima -; Lince Markis -; Ramiati - -; Andi Ahmad Dahlan; Sri Nita -
Jurnal Ilmiah Poli Rekayasa Vol 15, No 2 (2020): -
Publisher : Pusat Penelitian dan pengabdian kepada Masyarakat (P3M) Politeknik Negeri Padang

The concept of smart home and cyber home is not the same, even much different. If a smart home or smart home is more aimed at users or home users who lead to conventional homes equipped with digital devices, the concept of cyber home is more to the bandwidth capacity of the internet to complement digital devices in the home. For this reason, Cyber Park Indonesia cooperates with PT Wika Realty. Specifically to develop the housing as a cyber home, Cyber Park Indonesia uses optical fiber. [Kompas, 2017]. This fact states that communication using optical fiber becomes very important so that to optimize the optical fiber system, a study that produces frequency responses to optical fiber attenuation parameters is made. Various sine signal frequency and amplitude values are given as input from an optical fiber dispersing system by looking at the response of the receiver in the form of voltage parameter values. The frequency values given range from 100 Hz to 10 Khz. The linkage of the input amplitude value to the damping value is an output voltage output generated by the amplitude of the amplitude parameter at the sending end. This voltage value comparison is used as the damping parameter of an optical fiber communication system. Giving this frequency will provide the performance of a fiber optic communication system. The resulting voltage value is a constant of changes in the frequency value.

Mengatur Kecepatan Motor DC dengan menggunakan Metode Fuzzy pada Alat Perontok Padi Anton Hidayat -; Nasrullah - -; Ramiati - -
Jurnal Ilmiah Poli Rekayasa Vol 11, No 2 (2016)
Publisher : Pusat Penelitian dan pengabdian kepada Masyarakat (P3M) Politeknik Negeri Padang

In designing this device, the rice thresher will be lighter, so it will be easier in lifting, simpler in using so farmers as main users will easier in operating this instrument with featuring speed controllable by applying fuzzy method, and also no fossil fuels used because it utilize sunshine as green energy to drive DC motor. Solar cells are used to absorb sunshine in rice thresher machine because it easier in maintenance. The test results of the rice thresher machine is the reduction of the avarage motor speed by 195 rpm every each five rice straws, in the other hand the maximum electric current is needed to spin the rice threser is 6 ampere and minimum electric current is 2.2 ampere. Furthermore, to stabilize motor speed at 2000 rpm, the avarage time required is 6 seconds when this machine loaded with rice straws. The eficiency of the rice thresher machine is 96%, it mean the avarage time to thresh the rice is 9 rice straws every each seconds.

Aplikasi Sistem VoIP Menggunakan Smartphone pada Jaringan Wireless LAN Afrizal Yuhanef; Ramiati ramiati
Elektron : Jurnal Ilmiah Vol 6 No 1 (2014): Elektron Jurnal Ilmiah
Publisher : Teknik Elektro Politeknik Negeri Padang

Teknologi komunikasi suara sekarang ini telah banyak digunakan diberbagai lapisan masyarakat. Pada jaringan suara di perkantoran atau pemamfataan Sistem komunikasi berbasis LAN, pesawat telepon terhubung dalam jaringan Privat Automated Branch Exchange (PABX). Voice Over Internet Protocol (VoIP) adalah teknologi yang menawarkan telepon melalui jaringan Internet Protocol (IP). Penggunaan jaringan IP memungkinkan penekanan biaya pada sebuah perusahaan karena dalam penggunaanya tidak perlu membangun sebuah infrastruktur baru. Seperti tidak perlu lagi penambahan access telpon rumah/Privat Automated Branch Exchange (PABX). Penerapan atau implementasi dari rancangan yang telah dibuat, yaitu mulai dari menginstall sistem operasi dilanjutkan dengan konfigurasi, kemudian menginstall 3CX Phone System, 3CXPhone-1.3.4 dan mengkonfigurasikannya. Dilanjutkan dengan konfigurasi Wireless Access Point dan mengintegrasikan client VoIP dengan Voip Server yang dibangun.Wireless Acces Point yang digunakan sebagai media transfer data pada aplikasi sistem jaringan, mampu menjadi penghubung yang digunakan dalam layanan komunikasi suara melalui bantuan server VoIP berbasis Android. User Datagram Protocol (UDP) salah satu protokol yang paling banyak digunakan dalam komunikasi menggunakan VoIP. Teknologi VoIP berbasis Android dapat meminimalisir biaya operasional suatu perusahaan sehingga dapat berkomunikasi tanpa harus mengeluarkan biaya Pulsa berlebih dan biaya Penyewaan perangkat PABX.

Aplikasi Pendeteksi Plat Nomor Kendaraan Berbasis Raspberry Pi Menggunakan Website Untuk Pelanggaran Lalu Lintas Siska Aulia; Popy Maria; Ramiati Ramiati
Elektron : Jurnal Ilmiah Volume 11 Nomor 2 Tahun 2019
Publisher : Teknik Elektro Politeknik Negeri Padang

Motorized vehicles in Indonesia consist of two-wheeled vehicles and four-wheeled vehicles. The number of motorized vehicles is increasing every year. The higher the vehicle volume the higher the level of traffic violations. Every violator will be charged a ticket by the ticketing officer if the vehicle user does not obey the driving rules. The ticketing process in Indonesia is still manually using paper by writing violations committed by violators on a piece of paper. This article is an attempt to make it easier for the public and police in traffic violations. This article is designed for vehicle license plate detection applications and traffic violation websites. The plate identification process begins with taking a plate image through a Raspberry Pi-based camera or webcam. The plate image results using the Raspberry Pi camera are carried out by processing the vehicle plate digital image by segmentation methods and Optical Character Recognition (OCR) using matlab. The vehicle plate character results obtained are used as input to identify traffic violations. The form of traffic violations can be seen on the traffic ticket website. Based on the results of OCR testing proved to be able to recognize the image of the vehicle plate. Raspberry Pi based camera for long distance or wireless communication. The results from the traffic ticket website are used as evidence to process motorists who have violated traffic.

Optimalisasi Capaian Pembelajaran Matakuliah Berbasis Pemrograman Melalui Media E-Learning Ratna Dewi; Silfia Rifka; Rikki Vitria; Uzma Septima; Ramiati Ramiati
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 18, No 1 (2020): Desember 2020
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v18i1.11628

Pandemik Covid-19 yang dialami seluruh dunia saat ini termasuk Indonesia, memaksa pembelajaran dilakukan secara daring atau e-learning termasuk pada Politeknik Negeri Padang. Dengan kendala yang ada pada mahasiswa sebagai peserta didik dalam sistem pembelajaran ini yaitu kendala dalam mengakses sistem melalui jaringan internet dan belum semua mahasiswa memiliki perangkat komputer yang dibutuhkan dalam mengaplikasikan matakuliah berbasis pemrograman. Agar capaian pembelajaran tetap bisa dicapai secara optimal maka dalam penelitian ini dibuat web untuk sistem pembelajaran daring atau e-learning. Dari hasil penggunaan web ini 82,9 % mahasiswa memahami materi yang ditayangkan dalam web tersebut dan sebagain besar mahasiswa menginginkan materi dalam bentuk video offline sehingga dapat digunakan setiap saat.

Aplikasi Identifikasi Huruf Braille Menggunakan Computer Vision Berbasis Raspberry Pi Ramiati Ramiati; Siska Aulia; Lifwarda Lifwarda
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Sense of vision is a source of information on humans. Some humans are created with limited sense of sight. The blind performs reading and writing activities using Braille letters, a printed code system consisting of six dots in various combinations that are highlighted on the paper so that they can be touched. To facilitate the visually impaired and the public in enjoying the works produced by blind people, a script reading system is characterized by Braille by studying the braille characters in advance of each character. This research makes a braille letter identification system into sound using computer vision. The method, the reading of Braille character scripts by studying braille characters. First, a scanner or Raspberry Pi-based camera captures braille characters. Second, the system converts Braille characters into alphabetical shapes by processing Optical Character Recognition images. Recognition of Braille character patterns in written text using Artificial Neural Networks. The results of research on braille testing are in the form of alphabetical texts a through z, and the sound signal of the pronunciation of the alphabet uses the Text To Speech system. Braille to sound conversion system works well, with an average accuracy of system testing of 88.462%. This condition is achieved by using 70 gsm HVS paper and drawing paper with a 52 training image database. The system can only carry out the process of recognition of one character, so it can be used as a reference translator of audio-based braille characters that can be heard by the visually impaired and the community.Keywords : image processing, braille, OCR, JST, text to speechAbstrakIndera penglihatan merupakan sumber informasi pada manusia. Sebagian manusia diciptakan dengan keterbatasan indera penglihatan. Tunanetra melakukan aktifitas membaca serta menulis menggunakan huruf Braille, yaitu sistem cetakan berupa kode terdiri dari enam titik dalam berbagai kombinasi yang ditonjolkan pada kertas sehingga dapat diraba. Untuk memudahkan tunanetra dan masyarakat dalam menikmati karya-karya yang dihasilkan oleh penyandang tunanetra dibuat sistem pembacaan naskah berkarakterkan Braille dengan mempelajari karakter braille terlebih dahulu dari masing-masing karakternya. Penelitian ini membuat sistem identifikasi huruf braille menjadi suara menggunakan computer vision. Metodenya, pembacaan naskah berkarakter Braille dengan mempelajari karakter braille. Pertama, scanner atau kamera berbasis Raspberry Pi mengcapture karakter braille. Kedua, sistem mengkonversi karakter Braille ke bentuk abjad dengan pengolahan citra Optical Character Recognition. Pengenalan pola karakter Braille teks tulisan menggunakan Jaringan Saraf Tiruan. Hasil penelitian pengujian huruf braille berupa teks abjad a sampai z, dan sinyal suara pengucapan abjad menggunakan sistem Text To Speech . Sistem konversi braille menjadi suara bekerja dengan baik, dengan akurasi rata-rata pengujian sistem yaitu 88.462%. Kondisi ini dicapai dengan menggunakan kertas HVS 70 gsm dan kertas gambar dengan database 52 citra latih. Sistem hanya dapat melakukan proses pengenalan pada satu karakter, sehingga dapat digunakan sebagai referensi penterjemah naskah karakter braille berbasis audio yang dapat didengarkan oleh tunanetra dan masyakat.Kata Kunci : image processing, braille, OCR, JST, text to speech

Pelacakan Perahu Masyarakat Yang Mengalami Kondisi Darurat Di Perairan Sipora Utara Kab. Kepulauan Mentawai Berbasis Internet Of Things Ataul Mujib; Ramiati Ramiati; Rikki Vitria
Elektron : Jurnal Ilmiah Volume 14 Nomor 1 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.1.244

Technology in search and rescue has been growing at this time, especially in early detection systems. Basarnas as the leading sector in search and rescue, has used an early detection communication tool called Radio Beacon to quick response search and rescue for aircraft and ship accidents, and conditions that endanger humans. However, in its application in the field, this early detection system has not been touched by the local community, especially because the price is still relatively expensive and the socialization of the importance of safety itself has not been maximized in the community. From these problems, this paper designs a tracking device that works like a Radio Beacon where the switch will activate the Arduino device, GPS module and SIM800l module. The GPS module receives the location coordinates to be further processed by Arduino and sent using the SIM800l module to Firebase and notifications is received by the smartphone and the location can be monitored through an android application created using the MIT App Inventor platform. From the test results, it is found that the initial data transmission process starts from the switch is activated until the notification is received by the smartphone, a delay of 70 seconds occurs while in the process of repeating sending data there is a delay between 10-35 seconds from what has been set in the program looping every 50 seconds.

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