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Sistem Pengenalan Ekspresi Wajah secara Real Time Riyanto Sigit; Dadet Pramadihanto; Rully Sulaiman
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2005
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Pada umumnya analisa sistem pengenalan ekspresi wajah berasal dari sekumpulan data (loadfile), harusdidekat kamera, posisi wajah tidak boleh miring, dan tidak dapat mengatasi pergerakan yang banyak dariwajah. Pada penelitian ini dilakukan pengenalan ekspresi wajah secara real-time, dapat mengenali ekspresiwajah secara cerdas pada suatu bangunan tertentu (intelligent building), menggunakan transformasi proyeksiuntuk mengatasi posisi wajah yang miring, menggunakan jaringan syaraf tiruan untuk mengenali ekspresiwajah.Prosesnya adalah pengambilan citra wajah secara automatis dengan kombinasi gerakan, warna, danbentuk, melakukan transformasi proyeksi untuk mendapatkan posisi wajah menghadap ke depan, mengekstrakfitur dengan mengambil fitur penting dari ekspresi wajah berdasarkan lokasi dan bentuk, kemudian mengenaliekspresi wajah menggunakan jaringan syaraf tiruan.Dengan proses diatas sistem dapat mengenali ekspresi wajah pada jarak tertentu secara real-time dengancepat dan akurat.Kata Kunci: real time, intelligent building, transformasi proyeksi, jaringan syaraf tiruan, ekspresi wajah.
Robot Cerdas Pemadam Api Menggunakan Proyeksi Integral Setiawardhana Setiawardhana; Riyanto Sigit; Dadet Pramadihanto
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2006
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Salah satu masalah manusia yang paling sering dihadapi adalah masalah keamanan dalam pekerjaan. Kebakaran merupakan suatu masalah yang penanganannya membutuhkan pengorbanan dan tidak jarang membahayakan bagi tim penyelamat itu sendiri. Dalam hal ini, robot dapat berfungsi sebagai pengganti peran manusia dalam menjalankan pekerjaan yang sangat rawan bagi keselamatan manusia. Pada penelitian ini mengambil contoh permasalahan kebakaran rumah untuk disimulasikan karena permasalahan ini merupakan permasalahan sehari-hari yang paling sering dihadapi. Fungsi robot disini adalah mengantisipasi kebakaran secara dini dengan mematikan sumber api.Prosesnya adalah pengambilan citra secara automatis dengan melakukan thresholding sehingga diperoleh citra yang hanya mempunyai dua nilai derajat keabuan yaitu hitam dan putih, melakukan proyeksi integral untuk mencari daerah atau lokasi dari objek gambar yang berbeda, melakukan differensial terhadap hasil integral proyeksi, sehingga didapatkan tingkat perbedaaan antar baris (dari 0 - 255), dipakai dalam memandu navigasi robot dan menghindari halangan, juga dapat mendeteksi belokan dan menentukan arah gerak.Diharapkan dengan proses diatas dapat membuat robot otomatis untuk menyelesaikan beberapa tugas yang diadopsi dari tema Kontes Robot Cerdas Indonesia 2006, yaitu “Robot Cerdas Pemadam Api”.Kata kunci: real time,thresholding, proyeksi integral, differensial.
Remo Dance Motion Estimation with Markerless Motion Capture Using The Optical Flow Method Neny Kurniati; Achmad Basuki; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.33

Abstract

Motion capture has been developed and applied in various fields, one of them is dancing. Remo dance is a dance from East Java that tells the struggle of a prince who fought on the battlefield. Remo dancer does not use body-tight costume. He wears a few costume pieces and accessories, so required a motion detection method that can detect limb motion which does not damage the beauty of the costumes and does not interfere motion of the dancer. The method is Markerless Motion Capture. Limbs motions are partial behavior. This means that all limbs do not move simultaneously, but alternately. It required motion tracking to detect parts of the body moving and where the direction of motion. Optical flow is a method that is suitable for the above conditions. Moving body parts will be detected by the bounding box. A bounding box differential value between frames can determine the direction of the motion and how far the object is moving. The optical flow method is simple and does not require a monochrome background. This method does not use complex feature extraction process so it can be applied to real-time motion capture. Performance of motion detection with optical flow method is determined by the value of the ratio between the area of the blob and the area of the bounding box. Estimate coordinates are not necessarily like original coordinates, but if the chart of estimate motion similar to the chart of the original motion, it means motion estimation it can be said to have the same motion with the original.Keywords: Motion Capture, Markerless, Remo Dance, Optical Flow
An Embedded System for applying High Performance Computing in Educational Learning Activity Irene Erlyn Wina Rachmawan; Nurul Fahmi; Edi Wahyu Widodo; Samsul Huda; M. Unggul Pamenang; M. Choirur Roziqin; Andri Permana W.; Stritusta Sukaridhoto; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1553.613 KB) | DOI: 10.24003/emitter.v4i1.113

Abstract

HPC (High Performance Computing) has become more popular in the last few years. With the benefits on high computational power, HPC has impact on industry, scientific research and educational activities. Implementing HPC as a curriculum in universities could be consuming a lot of resources because well-known HPC system are using Personal Computer or Server. By using PC as the practical moduls it is need great resources and spaces.  This paper presents an innovative high performance computing cluster system to support education learning activities in HPC course with small size, low cost, and yet powerful enough. In recent years, High Performance computing usually implanted in cluster computing and require high specification computer and expensive cost. It is not efficient applying High Performance Computing in Educational research activiry such as learning in Class. Therefore, our proposed system is created with inexpensive component by using Embedded System to make High Performance Computing applicable for leaning in the class. Students involved in the construction of embedded system, built clusters from basic embedded and network components, do benchmark performance, and implement simple parallel case using the cluster.  In this research we performed evaluation of embedded systems comparing with i5 PC, the results of our embedded system performance of NAS benchmark are similar with i5 PCs. We also conducted surveys about student learning satisfaction that with embedded system students are able to learn about HPC from building the system until making an application that use HPC system.
An Implementation of Error Minimization Position Estimate in Wireless Inertial Measurement Unit using Modification ZUPT Adytia Darmawan; Sanggar Dewanto; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 4 No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1480.582 KB) | DOI: 10.24003/emitter.v4i2.156

Abstract

Position estimation using WIMU (Wireless Inertial Measurement Unit) is one of emerging technology in the field of indoor positioning systems. WIMU can detect movement and does not depend on GPS signals. The position is then estimated using a modified ZUPT (Zero Velocity Update) method that was using Filter Magnitude Acceleration (FMA), Variance Magnitude Acceleration (VMA) and Angular Rate (AR) estimation. Performance of this method was justified on a six-legged robot navigation system. Experimental result shows that the combination of VMA-AR gives the best position estimation.
Teen-Size Humanoid “FLoW” Complete Analytical Kinematics Luky Yanto; Raden Sanggar Dewanto; Dadet Pramadihanto; Eko Henfri Binugroho
EMITTER International Journal of Engineering Technology Vol 5 No 2 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.715 KB) | DOI: 10.24003/emitter.v5i2.233

Abstract

Humanoid research in Indonesia is quite a lot, but in reality only limited in kid-size proportional size, while for the Teen-Size is still rare. Research on the Teen-Size Humanoid robot requires more joints to be able to perform the movement compared to the size of Kid-Size, therefore required more complex modeling to determine the movement. With complete kinematics anlysis, the movement of the robot can be solved. With kinematic forward-invers, researchers can determine the movement of robots by controlling the motor parts that function as a joint on the robot. In this study, the modeling uses D-H parameter, because this modeling has been widely used, besides the calculation can be solved by computing. And then for the simulation can be done with V-REP software. Forward-invers kinematics can be implemented on the PID algorithm, in order to generate speed on the motor that can form an angle on the motor to make the movement. The result of this research is to obtain equation of matrix transformation from all body parts of robot. With the creation of this Humanoid Teen-Size robot, it is hoped that the research on Humanoid robot in Indonesia will be increasingly diverse and increasing, and can be used as a support and reference in the development of Humanoid Teen-Size next.
Implementation and Integration of Fuzzy Algorithms for Descending Stair of KMEI Humanoid Robot Wulandari Puspita Sari; R. Sanggar Dewanto; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 8 No 2 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i2.535

Abstract

Locomotion of humanoid robot depends on the mechanical characteristic of the robot. Walking on descending stairs with integrated control systems for the humanoid robot is proposed. The analysis of trajectory for descending stairs is calculated by the constrains of step length stair using fuzzy algorithm. The established humanoid robot on dynamically balance on this matter of zero moment point has been pretended to be consisting of single support phase and double support phase. Walking transition from single support phase to double support phase is needed for a smooth transition cycle. To accomplish the problem, integrated motion and controller are divided into two conditions: motion working on offline planning and controller working online walking gait generation. To solve the defect during locomotion of the humanoid robot, it is directly controlled by the fuzzy logic controller. This paper verified the simulation and the experiment for descending stair of KMEI humanoid robot.
REALISASI DAN DESAIN DINAMIKA BERJALAN NAIK DIATAS TANGGA PADA 33 DOF HUMANOID ROBOT Wulandari Puspita Sari; R Sanggar Dewanto; Dadet Pramadihanto
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 7, No 3 (2020)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v7i3.332

Abstract

This paper presents a balance control for humanoid robot for walking on the stair. Kinematics, dynamics, and control system are the complex problems for humanoid robot especially in walking through the stair. The goal of this paper is to implement the control methods for the robot to be able to walk through the stair. The complexities are influenced by the number of joint movements of 33 degree of freedom (DoF) resulting flexible movements. This movement patterns in walking on the stair considers the height and the width of the stair by using the feedback sensors and the proportional-integral (PI) controller. Walking transition from single phase to double phase is needed to conduct the smooth transition. To solve that problem, an integrated motion and controller are divided to two conditions: working motion in the offline planning and working motion in the online implementation. Vertical movement and the step-length movement are needed due to the additional movements are required for walking on the stair. That is why, PI controller is used to achieve the balance condition. Each controller is used in detail with the results of experiments and simultions. The kinematics approach for simulation has 100% successful rate and the real-time experiments have 93% of error. The effectivity and results of the proposed algorithm for humanoid robot are verified by the experiments to walk on the stair.Keywords: dynamic, kinematic, balance control, humanoid robotMakalah ini menyajikan kontrol keseimbangan untuk robot humanoid dalam berjalan di atas tangga. Kinematika, dinamika, dan sistem kendali merupakan masalah kompleks pada robot humanoid khususnya untuk berjalan melewati tangga. Tujuan akhir makalah ini adalah penerapan metode kontrol pada robot humanoid agar robot dapat berjalan di atas tangga. Kompleksitas pada robot dipengaruhi oleh banyaknya penggerak sebesar 33 derajat kebebasan (DoF) sehingga menghasilkan gerakan yang fleksibel. Pola gerakan ketika berjalan diatas tangga ini mempertimbangkan tinggi tangga dan lebar tangga dengan adanya umpan balik pada sensor dan system kendali keseimbangan menggunakan proporsional-integral (PI) kontroler. Transisi berjalan dari fase dukungan tunggal ke fase dukungan ganda diperlukan untuk kelancaran siklus transisi. Untuk menyelesaikan masalah tersebut, sebuah gerakan terintegrasi dan pengontrol dibagi menjadi dua kondisi: gerakan bekerja pada perencanaan offline dan pengontrol bekerja yang berjalan online. Hal ini dikarenakan kebutuhan tambahan gerakan vertikal pada tinggi tangga dan panjang langkah ketika menaiki tangga. Oleh karena itu, kontroler PI digunakan untuk mencapai kondisi keseimbangan. Setiap pengendali ditangani secara detail dengan hasil eksperimen dan simulasi. Pendekatan Kinematika untuk simulasi memiliki hasil yang baik berdasarkan percobaan simulasi 100% dan percobaan secara langsung dengan robot memiliki error 93%. Efektivitas dan kinerja dari algoritma kontrol yang diusulkan diverifikasi melalui percobaan naik tangga pada humanoid robot.Kata kunci: dinamika, kinematika, kendali keseimbangan, robot humanoid
Face RGB-D Data Acquisition System Architecture for 3D Face Identification Technology Aldi Bayu Kreshnanda Ismail; Ihsan Fikri Abdurahman Muharram; Dadet Pramadihanto; Adnan Rachmat Anom Besari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.764 KB) | DOI: 10.11591/eecsi.v5.1645

Abstract

The three-dimensional approach in face identification technology had gained prominent significance as the state-of-the-art breakthrough due to its ability to address the currently developing issues of identification technology (illumination, deformation and pose variance). Consequently, this trend is also followed by rapid development of the three-dimensional face identification architectures in which some of them, namely Microsoft Kinect and Intel RealSense, have become somewhat today's standard because of its popularity. However, these architectures may not be the most accessible to all due to its limited customisation nature being a commercial product. This research aims to propose an architecture as an alternative to the pre-existing ones which allows user to fully customise the RGB-D data by involving open source components, and serving as a less power demanding architecture. The architecture integrates Microsoft LifeCam and Structure Sensor as the input components and other open source libraries which are OpenCV and Point Cloud Library (PCL). The result shows that the proposed architecture can successfully perform the intended tasks such as extracting face RGB-D data and selecting out region of interest in the face area.
Secure Real-time Data Transmission for Drone Delivery Services using Forward Prediction Scheduling SCTP Febby Ronaldo; Amang Sudarsono; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 10 No 1 (2022)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v10i1.690

Abstract

Drone technology is considered the most effective solution for the improvement of various industrial fields. As a delivery service, drones need a secure communication system that is also able to manage all of the information data in real-time. However, because the data transmission process occurs in a wireless network, data will be sent over a channel that is more unstable and vulnerable to attack. Thus, this research, purposes a Forward Prediction Scheduling-based Stream Control Transmission Protocol (FPS-SCTP) scheme that is implemented on drone data transmission system. This scheme supports piggybacking, multi-streaming, and Late Messages Filter (LMF) which will improve the real-time transmission process in IEEE 802.11 wireless network. Meanwhile, on the cybersecurity aspect, this scheme provides the embedded option feature to enable the encryption mechanism using AES and the digital signatures mechanism using ECDSA. The results show that the FPS-SCTP scheme has better network performance than the default SCTP, and provides full security services with low computation time. This research contributes to providing a communication protocol scheme that is suitable for use on the internet of drones’ environment, both in real-time and reliable security levels.
Co-Authors Abrari, Arya Rafi Achmad Basuki Achmad Basuki Adi Sucipto, Adi Adnan Rachmat Anom Besari Adytia Darmawan Afifah, Izza Nur AL BANNA, M. RIZQI HASAN Aldi Bayu Kreshnanda Ismail Alfan Rizaldy Pratama Alfan Rizaldy Pratama Pratama Ali Ridho Barakbah Amang Sudarsono, Amang Andri Permana W. ANUGERAH WIBISANA Apriandy, Kevin APRIANDY, KEVIN ILHAM Arif Hidayah Arif Hidayah Arini, Nu Rhahida Arna Fariza Bambang Sumantri Besari, Adnan Rachmat Anom Bima Sena Bayu Dewantara Darmawan, Adytia Dewanto Sanggar Dewanto, Raden Sanggar Dewanto, Raden Sanggar Dewanto, Sanggar Dewi Mutiara Sari Djoko Purwanto Edi Wahyu Widodo Eko Henfri Binugroho Eko Henfri Binugroho Eko Purbo Wahyono Endah Suryawati Ningrum Febby Ronaldo Hamida, Silfiana Nur Hary Oktavianto Huda, Achmad Thorikul Idris Winarno Ihsan Fikri Abdurahman Muharram Irene Erlyn Wina Rachmawan Ismail, Aldi Bayu Kreshnanda iwan Syarif Kevin Apriandy Luky Yanto M. Choirur Roziqin M. Unggul Pamenang Marta, Bayu Sandi Miyara, Akio Muhammad Ramadhan Hadi Setyawan Muharram, Ihsan Fikri Abdurahman Neny Kurniati Nurul Fahmi Nurul Fahmi Pamenang, M. Unggul R Sanggar Dewanto R. Dimas Pristovani R. Sanggar Dewanto Rachmawati, Oktavia Citra Resmi Raden Sanggar Dewanto Raden Sanggar Dewanto Riyanto Sigit Roziqin, M. Choirur Rudi Kurniawan Rully Sulaiman Ryan Satria Wijaya Samsul Huda Samsul Huda Sanggar Dewanto Sari, Dewi Mutiara Sesulihatien, Wahjoe Tjatur Setiawardhana Setiawardhana Setiawardhana, Setiawardhana Sigit Riyanto Sritrusta Sukaridhoto Subhan Khalilullah, Achmad Sukma Meganova Effendi Susanti, Puspasari Syadza Atika Rahmah Syahputra, Dimas Novian Aditia Teguh Hady Ariwibowo Tessy Badriyah, Tessy Tri Harsono ULURRASYADI, FAIZ W., Andri Permana Wahjoe Tjatur Sesulihatien Widodo, Edi Wahyu Wina Rachmawan, Irene Erlyn Wulandari Puspita Sari Wulandari Puspita Sari Yanto, Luky Zainal Arief