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All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor International Journal of Advances in Intelligent Informatics JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Teknologi dan Sistem Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control APPROACH: Jurnal Teknologi Penerbangan JAVA Journal of Electrical and Electronics Engineering JAREE (Journal on Advanced Research in Electrical Engineering) International Journal of Robotics and Control Systems Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati
Ronny Mardiyanto, Ronny
Departemen Teknik Elektro - ITS, Surabaya
Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Automatic Navigation for A Mobile Robot with Real Time Depth Kinect Sensor and Map Database Uroidhi, Ali; Mardiyanto, Ronny; Purwanto, Djoko
JAVA Journal of Electrical and Electronics Engineering Vol 14, No 1 (2016)
Publisher : JAVA Journal of Electrical and Electronics Engineering

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Abstract

The ability view and remember the conditions surrounding is important in navigation. Ability of the kinect sensor have limitations viewing angles, and limitations reading the distance. Due to not all objects can reflect laser light very well. This research the proposed navigation system uses data of kinect depth and databases map. The experiment uses a mini computer (raspberry pi 2) to process data of kinect. Average processing each frame is 379.73 ms, the processing speed is not too fast, but navigation mobile robot can be resolved.
Sistem Pengukuran Badan Pria untuk Menentukan Ukuran Baju Berbasis Kamera Kinect Purwanto, Djoko; Mardiyanto, Ronny; Gangsarestu, Muhammad Soleh
JAVA Journal of Electrical and Electronics Engineering Vol 13, No 1 (2015)
Publisher : JAVA Journal of Electrical and Electronics Engineering

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Abstract

Computer Vision, suatu bidang yang melibatkan metode proses, akuisisi, analisa, dan pengolahan citra berdimensi tinggi dari dunia nyata untuk menghasilkan informasi numerik maupun simbol. Informasi itu dapat digunakan untuk melakukan suatu interpretasi satuan panjang. Interpretasi tersebut dapat dimanfaatkan pada toko baju untuk sebuah sistem pengukuran badan seseorang. Sistem ini dikhususkan untuk mengukur badan pria karena lebih mudah daripada mengukur badan wanita. Penggunaannya dapat mengurangi kerugian baju yang longgar akibat dicoba oleh pelanggan, serta pelanggan akan merasa puas karena proses pengukuran yang cepat dan mendapatkan ukuran yang sesuai. Sistem pengukuran badan pria akan dilakukan pada suatu ruangan yang dilengkapi dengan sebuah kamera kinect, layar monitor, dan unit proses untuk interaksi pengguna dengan sistem. Kamera kinect digunakan karena selain dapat menangkap gambar ia dilengkapi dengan IR projector dan sensor yang dapat memberikan informasi depth. Setelah pengguna memulai sistem, kamera kinect akan mengirimkan informasi gambar serta depth ke unit proses untuk melakukan pengolahan gambar, feature extraction, serta pemrosesan lebih lanjut untuk mengukur panjang, dan lebar badan dari pengguna. Pada layar monitor akan memperlihatkan data hasil pengukuran serta kategori ukuran baju S, M, L, dan XL yang dianjurkan untuk pengguna.
Sistem Pemberi Makan Ikan Bandeng Yang Lebih Cepat Menggunakan Quadcopter Mardiyanto, Ronny; Dikairono, Rudy; Parama, Armand Dvi
JAVA Journal of Electrical and Electronics Engineering Vol 13, No 2 (2015)
Publisher : JAVA Journal of Electrical and Electronics Engineering

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Abstract

Pada penelitian ini kami membuat system pemberi makan ikan otomatis menggunakan quadcopter untuk membantu pembudidaya ikan bandeng. Permsalahan yang terjadi pada system pemberi makan ikan secara manual adalah diperlukan waktu yang lama dan tenaga yang besar karena area tambak ikan bandeng sangatlah luas. Pada penelitian ini kami merancang dan membuat system pemberi makan ikan melalui jalur udara dengan menggunakan quadcpter. Kami memodifikasi quadcopter dengan menambahkan mikrokontroler dan mekanik tempat pakan ikan dan mengintegrasikan ke system otomatis quadcopter. Sistem yang telah kami buat telah diujikan dikondisi sebenarnya dan didapatkan hasil ketepatan system dalam melepaskan makanan ikan ke waypoint yang telah ditentukan rata rata 96.78%. Dengan mengimplementasikan system ini maka proses pemberian makan ikan menjadi lebih cepat dan hasil keuntungan para pembudidaya ikan semakin besar.
Novel Trajectory Control System on Mobile Robot Using Visual Feedback Mardiyanto, Ronny; Zaman, Muhammad Qomaruz
JAVA Journal of Electrical and Electronics Engineering Vol 14, No 1 (2016)
Publisher : JAVA Journal of Electrical and Electronics Engineering

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Abstract

IEDs (Improvised Explosive Device) are one of the main causes of injuries during a war. IEDs are also the most commonly used weapon by malefactors for it is cheap and easy to be crafted. This weapon may vary in color, shape, and size. They can be triggered remotely by radio signal, pressure, or even timer. The complexity of their system has made them be carefully treated. One of the most promising solutions to counter these explosives is using EOD (Explosive Ordnance Disposal) robots. These robots may pack so many features to counter measure the varying types of IEDs. The more feature the robot has, the more difficult how it would be controlled. Some researchers have tried to add intelligent or autonomous features to aid the operator. In this study is proposed an autonomous feature to the robot. The robot will approach autonomously to the target while maintaining its trajectory. The trajectory control is using proportional control method with visual feedback. The robot is panning its body with the camera attached to maintain its trajectory. The data shows that with this control system the robot respond to the input in only 12 seconds, and during the experiment, its highest error is 6.5o of panning degrees. The accuracy of the system is relative to the distance of the robot and the target. The maximum distance is up to 330 cm.
Pengembangan Kontrol Teleoperated Mobile Robot Menggunakan Jaringan WiFi Purwanto, Djoko; Mardiyanto, Ronny; Kusumawati, Diah
JAVA Journal of Electrical and Electronics Engineering Vol 13, No 2 (2015)
Publisher : JAVA Journal of Electrical and Electronics Engineering

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Abstract

Fokus pada penelitian ini adalah pengembangan sistem mobile robot yang dapat dikontrol secara manual oleh pengguna dengan menggunakan jaringan wifi. Sistem kendali jarak jauh dalam sistem ini digunakan agar pengguna dapat mengontrol pergerakan mobile robot sesuai dengan kebutuhannya. Secara garis besar, sistem dibagi menjadi dua bagian besar yaitu bagian server dan client. Bagian server terdiri dari program untuk komunikasi data dengan client dan perangkat keras yang terdiri dari pembuatan mekanik mobile robot dan rangkaian driver motor. Sedangkan client adalah program untuk komunikasi data dengan server yang mengirimkan perintah gerak mobile robot. Berdasarkan hasil pengujian terhadap sistem terdapat faktor-faktor yang mempengaruhi peforma sistem. Faktor tersebut adalah spesifikasi jaringan wifi yang digunakan meliputi lebarnya bandwidth yang disediakan dan kestabilan jaringan wifi. Kestabilan jaringan wifi yang dimaksud disini adalah tidak adanya koneksi yang terputus (request timed out) pada saat komunikasi data sedang berlangsung. Penerapan sistem dapat memberikan hasil yang optimal jika jaringan wifi yang digunakan stabil dan bandwidth yang tersedia memenuhi kebutuhan sistem. Sistem yang dirancang dalam penelitian ini merupakan inisiasi dari sistem tele-helper-robot yaitu mobile robot yang diharapkan dapat membantu peran perawat di rumah sakit.
Braille Character Recognition Using Find Contour And Artificial Neural Network Subur, Joko; Sardjono, Tri Arief; Mardiyanto, Ronny
JAVA Journal of Electrical and Electronics Engineering Vol 14, No 1 (2016)
Publisher : JAVA Journal of Electrical and Electronics Engineering

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Abstract

Abstract—Braille letters is characters designed for the blind, composed of six embossed points, arranged in a standard braille character. Braille letters is touched and read using fingers, therefore the sensitivity of the fingers is important. Those characters need to be memorized, so it is very difficult to be learned. The aim of this research is to create a braille characters recognition system and translate it to alpha-numeric text. Webcam camera is used to capture braille image from braille characters on the paper sheet. Cropping, grayscale, thresholding, erotion, and dilation techniques are used for image preprocessing. Then, find contour and artificial neural network method are used to recognize the braille characters. The system can recognize braille characters with 99% accuracy even when the braille image is tilted up to 1 degrees. Keywords— Artifial neural network; braille characters; find contour; image processing; webcam
Penerjemahan Bahasa Isyarat Indonesia Menggunakan Kamera pada Telepon Genggam Android Andrian, Muhammad Yunus; Purwanto, Djoko; Mardiyanto, Ronny
Jurnal Teknik ITS Vol 6, No 1 (2017)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v6i1.21981

Abstract

Penginderaan visual atau machine vision merupakan suatu proses manipulasi data citra. Data tersebut dapat digunakan untuk melakukan intepretasi banyak hal, salah satunya yaitu pengenalan gesture. Pengenalan gesture adalah antarmuka yang dapat mengenali gerak-isyarat seorang manusia dan mentranslasikan gerakan tersebut sebagai instruksi yang dapat dipahami oleh komputer. Pengenalan gesture dapat digunakan untuk penerjemahkan bahasa isyarat pada orang tunawicara. Hal ini karena banyaknya orang yang tidak mengerti bahasa tangan orang tunawicara. Sehingga, orang tunawicara kesulitan dalam berinteraksi di masyarakat.Pada tugas akhir ini pengenalan gesture untuk penerjemahan bahasa isyarat lebih mengarah pada hand recognition, yaitu pendeteksian perubahan gerak tangan, dengan menggunakan android mobile phone sebagai divaisnya. Android mobile phone memiliki kamera untuk menangkap citra orang tuna wicara saat berkomunikasi menggunakan bahasa isyarat berupa gerakan tangan. Selanjutnya, citra diproses oleh processing unit android untuk melakukan proses hand recognition. Setelah proses tersebut selesai, maka layar display akan memunculkan huruf atau kata dari perubahan posisi gerak tangan yang dilakukan orang tunawicara yang berada di depan kamera. 
Parsing Indonesian Syntactic with Recursive Neural Network Putra, Karisma Trinanda; Purwanto, Djoko; Mardiyanto, Ronny
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.997 KB) | DOI: 10.12962/j23546026.y2015i1.1050

Abstract

Sentence is a form of human communication which is closely related to language system. Sentence is one of the recursive structures that are often found in daily conversation. Learning syntactic structure is useful to explore the meaning of the sentence contained on it or translated it into another language such as machine language. The problem is meaning, ambiguity, and the language that is not according to the rules of syntax, causing the command translation become more complex. This research is about parsing Indonesian syntax based on natural language rules for applications in the field of human-machine interaction. Each word that is a part of the sentence, is mapped into vector-space model. To estimate the potential connection of two words, we use the recursive neural network. The potential connection of two words translated into a higher structure to obtain a complete sentence structure. We obtain 93% accuracy, with 50 data-set are given in the learning process to represent a hundred vocabularies.
An Electronic Traceability System for an Indonesian Fresh Fruit Supply Chain Vanany, Iwan; Andri, Kuntoro Boga; Mardiyanto, Ronny; Puspita, Niniek Fajar; Winarsih, Wiwik Heny
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.297

Abstract

Nowdays, traceability system for agriculture comodity is mandatory requirements in some countries such as Japan, United States, and all European countries. All export agricultural companies must applied traceability system to fulfill the mandates of goverments market requirements. Traceability system also has beneficials to reduce products return and improve efficiencies and effectiveness their inventory. Electronic traceability system is relatively new and is believed by many experts to have the advantages than paper-based traceability system such as: integration of data to multiple users, the accuracy of data input and control and monitoring easier and faster. Although the recent problems of traceability becomes the important issues in food and agriculture supply chain, but a few researchers to design and implement electronic traceability system especially to integrate multi-user and in supply chain contex. This paper develop the electronic traceability system products including software for electronic traceability system and barcode technology. Unified Modelling Language (UML) is used to design traceabilty system model that was described a usecase, state and sequence diagram. Based on these models, electronic traceability system was developed by adopting XAMPP control panel. Indonesian mangosteen and manggo fruits were chosen as a case study in order to validate electronic traceability system. The results showed that the electronic traceability system product is relatif support to helps members of supply chain to complete their traceability system capabilities for the benefit of mangosteen and mango exports
Perancangan Sistem Kendali pada Lengan Assistive Social Robot menggunakan Kamera Yunardi, Riky Tri; Mardiyanto, Ronny
JURNAL NASIONAL TEKNIK ELEKTRO Vol 6, No 2: Juli 2017
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v6n2.402.2017

Abstract

Robotics technology has widely applied and developed in the rehabilitation field. Assistive Social Robot is a technology that can interact with users and improve progress in rehabilitation. Accessibility when taking an object using a robotic arm system is needed. A camera is the optical sensor that has been applied to detect the position of the object. In this paper explain a design of control system of robotic arm by using a camera. Information of the distance and position are used to organizing the control of the robotic arm movement, that form of a gripper. Tests conducted include: testing to detect the contour of the object, testing the measurement of object distance, and testing the robot arm control. From the results shows the speed of performance of control system that has been designed in performing the task to pick up an object from the initial position to the end takes 28.05 seconds.Keywords : Assistive social robot, robotic arm , cameraAbstrak—Teknologi robotika telah banyak diaplikasi dan dikembangkan dalam bidang rehabilitasi. Assistive Social Robot merupakan suatu teknologi robotika yang dapat berinteraksi dengan pengguna dan memberi bantuan dalam pemulihan proses rehabilitasi. Aksesibilitas ketika mengambil sebuah benda dengan menggunakan sistem lengan robot sangat dibutuhkah. Kamera merupakan sensor optik yang paling banyak diaplikasikan untuk mendeteksi posisi objek. Artikel ini membahas mengenai sistem kendali lengan robot menggunakan kamera. Informasi jarak dan posisi objek digunakan untuk mengendalikan gerakan lengan robot robot yang berbentuk gripper. Pengujian yang dilakukan meliputi: pengujian mendeteksi kontur objek, pengujian pengukuran jarak objek, serta pengujian kendali lengan robot. Dari hasil menunjukkan kecepatan kinerja sistem kendali yang telah dirancang dalam melakukan tugas untuk mengambil sebuah objek dari posisi awal sampai akhir memerlukan waktu 28,05 detik.Kata Kunci : Assistive social robot, lengan robot, kamera
Co-Authors Aang Kisnu Darmawan Aang Kisnu Darmawan Ahmad Fahriannur Akbar Faiz Andri Suhartono Andri, Kuntoro Boga Andrian, Muhammad Yunus Aryani, Ni Ketut Astria Nur Irfansyah Badrut Tamam Budiman, Fajar D C Riawan D Fahmi Dedet Candra Riawan Devy Kuswidiastuti Diah Kusumawati, Diah Djoko Purwanto Fahad Al Hazmi Feby Agung Pamuji Firmansyah, Riza Agung Gangsarestu, Muhammad Soleh Haris Hariza Ekarinda Heri Suryoatmojo Hoiriyah Hoiriyah, . Indra Dilianto Iwan Santosa Iwan Santosa Iwan Vanany Joko Subur K B Adam Kohei Arai Meilana Siswanto Mochamad Ashari Muhammad Attamimi Muhammad Ichlasul Salik Muhammad Qomaruz Zaman Muhammad Rivai Muhammad Saiful Hak Muhammad Yunus Andrian Muharom, Syahri Niniek Fajar Puspita, Niniek Fajar Ontoseno Penangsang Parama, Armand Dvi Prasetiyono Hari Mukti Putra, Karisma Trinanda Rahmad Hidayat Rifyal Rachmat Riza Agung Rony Seto Wibowo Rudy Dikairono Ruth Johana Hutagalung S Hidayat Setijadi, Eko Suwito Suwito Suwito Suwito Totok Mujiono, Totok Tri Arief Sardjono Uroidhi, Ali Winarsih, Wiwik Heny Yunardi, Riky Tri Zaman, Muhammad Qomaruz