Bakhtiar Alldino Ardi Sumbodo
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Sistem Klasifikasi Kendaraan Berbasis Pengolahan Citra Digital dengan Metode Multilayer Perceptron Irfan, Muhammad; Ardi Sumbodo, Bakhtiar Alldino; Candradewi, Ika
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 2 (2017): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (325.677 KB) | DOI: 10.22146/ijeis.18260

Abstract

The evolution of video sensors and hardware can be used for developing traffic monitoring system vision based.  It can provide information about vehicle passing by utilizing the camera, so that monitoring can be done automatically. It is needed for the processing systems to provide some information regarding traffic conditions. One such approach is to utilize digital image processing.This research consisted of two phases image processing, namely the process of detection and classification. The process of detection using Haar Cascade Classifier with the training data image form the vehicle and data test form the image state of toll road drawn at random. While, Multilayer Perceptron classification process uses by utilizing the result of the detection process. Vehicle classification is divided into three types, namely car, bus and truck. Then the classification parameters were evaluated by accuracy. The test results vehicle detection indicate the value of accuracy is 92.67. Meanwhile, the classification process is done with phase trial and error to evaluate the parameters that have been determined.  Results of the study show the classification system has an average value of the accuracy is  87.60%.
Pendeteksian Bola untuk Robot Sepak Bola Humanoid Berbasis Pengenalan Pola Iswahyudi, Fauzi Nur; Ardi Sumbodo, Bakhtiar Alldino
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 1 (2017): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.809 KB) | DOI: 10.22146/ijeis.18108

Abstract

 Humanoid soccer robot is one of popular developed robot. RoboCup is a competitive competiton of humanoid robot soccer. The rule of RoboCup changed by the time, the previous orange ball changed by white ball which is same color as the field line and the goal. Accordingly, in this research designed a white ball detection system for humanoid soccer robot based on pattern recognition. Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM) method are used in this research for feature extraction and classification. The result of this research is a system that be able to detect ball in humanoid soccer robot environment. The system tested by sliding window parameter testing, the distance of ball to robot testing, different light intensity testing, and other object testing. The conclusions of this research are: optimal detection is obtained by using 8x8 win_stride parameter size and 1,2 scale0 parameter value, maximum distance of detection with 32×32 window detector is 180 cm and with 64×64 window detector is 140 cm, the response of system in different light intensity is good enough, and the success rate of system against other obstacle object with 32×32 window detector is 68% and with 64×64 window detector is 99%.
Rancang Bangun M2M (Machine-to-Machine) Communication Berbasis 6LoWPAN Pradana, Doni; Ardi Sumbodo, Bakhtiar Alldino
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 7, No 1 (2017): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.367 KB) | DOI: 10.22146/ijeis.18087

Abstract

At the present time the development of technology enabling communication services without the use of cables its called wireless technology. One such wireless communication technology is M2M (Machine to Machine) communication. In this study, using a protocol 6LoWPAN as the basis of M2M communications, becaused in Zigbee protocol encountered to the weakness such as the value of end-to-end delay and packet loss is greater than 6LoWPAN protocol. Work on this study is desaign system of M2M communication based on 6LoWPAN protocol and compare the data of the performance of 6LoWPAN protocol with Zigbee protocol terms of end-to-end delay and packet loss. Variations of testing is to set the baud rate Xbee 1200 bps, 4800 bps, 9600 bps, 19200 bps, 38400 bps, 57600 bps, 115200 bps. Besides the baud rate, the variation also adjusting the distance between  nodes from 10 meter up to 60 meter by 10 meter intervals. Average of end-to-end delay time is 1899 milliseconds on 6LoWPAN, while protocol Zigbee is 422 miliseconds. In the packet loss aspect, in 6LoWPAN protocol not provided because the use of UDP not have an acknowledgement and squence number to track packet loss, while average of packet loss Zigbee protocol is 26%.
Pengembangan Robot Humanoid Pemain Bola Otonom Afrisal, Hadha; Munadi, Munadi; Faris, Muhammad; Ardi Sumbodo, Bakhtiar Alldino
TEKNIK Vol 40, No. 1 (2019): Mei 2019
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3231.611 KB) | DOI: 10.14710/teknik.v39i3.22916

Abstract

This research aims to develop an autonomous humanoid soccer robot. The humanoid soccer robot is designed using 20 joints which are equipped with dynamixel servo motor AX-12 (upper body) and RX-24 (lower body) and is controlled by using servo controller board CM-700 (ATMega2561). The humanoid soccer robot is 44 cm in height and is equipped with a balancing system of using gyro sensor LPR530 and accelerometer KXM52-1050. In order to detect object and to navigate autonomously, the humanoid soccer robot is equipped with a CMOS camera which is controlled using CMUCAM board (LPC2016). The experiment shows that the humanoid soccer robot has ability to walk with average speed of 14.37 cm/second and is able to achieve a top speed of up to 20 cm/second. The developed humanoid soccer robot can play soccer autonomously: to locate the ball, to detect the goalpost, and to score the goal to the goalpost.
Sistem Video Streaming dengan Server Mini Personal Computer (Mini Pc) pada Jaringan Ad-Hoc Holandrio, Dwindawan; Sumiharto, Raden; Ardi Sumbodo, Bakhtiar Alldino
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 2, No 2 (2012): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (401.277 KB) | DOI: 10.22146/ijeis.2436

Abstract

AbstrakTelah dibuat sistem video streaming dengan mengimplementasikan metode socket programming (pemrograman soket) yang menggunakan protokol TCP/IP dan OpenCV (Open Computer Vision) sebagai library pemrograman untuk menangani I/O video. Sistem terdiri dari 1 server yaitu Mini PC Zotac Zbox Nano AD10 dan 1 klien yang saling berhubungan menggunakan Wi-Fi dengan mode akses Ad-Hoc.Hasil dari penelitian ini adalah sebuah sistem video streaming yang diwujudkan dalam bentuk perangkat lunak yang ditanamkan pada Mini PC sebagai server dan laptop sebagai klien. Video yang dikirimkan dibedakan menjadi 2 yaitu video dengan format RGB (warna) dan format grayscale. Sistem diuji kinerjanya dengan mengamati parameter frame rate video yang ditampilkan oleh klien. Dari pengujian dengan 2 variasi waktu transfer dan resolusi berukuran 640 x 480 pixel didapatkan frame rate terbaik untuk jarak 15 meter video dengan format RGB adalah 0,7 fps, sedangkan untuk video grayscale didapatkan frame rate terbaik 6,56 fps. Kemudian untuk jarak tempuh maksimal yaitu 60 meter didapatkan nilai frame rate 0,04 fps untuk video RGB dan 0,69 fps untuk video grayscale. Kata kunci—video streaming, sokcet programming, Mini PC, OpenCV  AbstractA video streaming system has been made that implemented socket programming method which used TCP/IP protokol and OpenCV as a programming library for handling I/O video. The system consists of one server using Mini PC Zotac Zbox Nano AD10 and one client that are connected using the Wi-Fi Ad-Ho wireless mode.The result of this research is a video streaming system which is realized in a software that been embedded in the Mini PC as the server and in notebook as a client. The system was tested by observing the performance parameters of the video frame rate that displayed by the client. The video can be transmitted into two formats, RGB (color) format and grayscale format. System performance was tested by observing the frame rate of video that being displayed by the client. From testing with two variations of the transfer time, the best frame rate was obtained at 15 meter that is 0,7 fps using RGB format, while for grayscale video frame rate obtained is 6,56 fps. While for a maximum distance of 60 meters, frame rate obtained is 0,04 fps for RGB video and 0,69 for grayscale video Keywords—video streaming, socket programming, Mini PC, OpenCV
Desain dan Implementasi On-Board Computer/ On-Board Data Handling (OBDH) pada UGM-SAT Ardi Sumbodo, Bakhtiar Alldino; Putra, Agfianto Eko
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 5, No 1 (2015): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (887.638 KB) | DOI: 10.22146/ijeis.7155

Abstract

 The engineering model of OBDH for UGM-SAT was designed to control data handling program and tointerface the satellite subsystems to OBDH. The OBDH’s based on the Microchip microcontroller PIC16F877A with 20 Mhz clock speed. The system’s equipped with four external 24LC512 EEPROM’s with a storage capacity of 256 kB. The external memories’re used to store housekeeping information. The system’s equipped with a ACS712ELCTR-05B-T current sensor, voltage sensor and LM335Z temperature sensor. The accuracy of the measurements’re more than 99%. The system’s also equipped with IC Real Time Clock (RTC) DS3232M with an internal clock of 32.768 Hz, which’s used to synchronize the time between OBDH with other subsystems.The components of OBDH was chosen with industrial standards, small packages and low power. OBDH’s designed to operate in environments with extreme temperature conditions. The communication with other subsystems was designed to use I2C-bus. Protocol data for communication between the satellite subsystems have been designed. A HammingCode(8,4) algorithm has been implemented to protect housekeeping information from being corrupted due to radiation. Error detection and correction speed is 1.800 byte/s. The engineering model of OBDH for UGM-SAT have met the standard specifications, and ready for further testing hardware and software.
Implementasi Algoritma PSO Pada Multi Mobile Robot Dalam Penentuan Posisi Target Terdekat Priyadana, Ikhwannuary Raditya; Ardi Sumbodo, Bakhtiar Alldino; Widodo, Triyogatama Wahyu
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 8, No 1 (2018): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (615.531 KB) | DOI: 10.22146/ijeis.25505

Abstract

 Swarm Intelligence is an artificial intelligence developed by adapting the social behavior of a group of animal. In the migratory birds community, it is known that the behavior of the birds during the flight forms a 'V' formation that plays a role in optimizing the bird's energy saving. The basic principle of a swarm intelligence is the existence of collective, decentralized and self-organizing behavior. This is the basis for the development of behavioral algorithms flocking birds called Particle Swarm Optimization (PSO).In this research used three mobile robot as object to implement PSO algorithm. Three pieces of this robot is homogeneous, which is similar hardware and software. A group of these robots will complete the joint mission of defining the robot with the closest distance to the target TPr (robot handler). There are three TPr targets that have to be executed by the robot handler according to their position with the target point to be completed. The test is done by taking odometry data every 250 milisekon and data frame robot communication.At the end of this research, the result of modeling system result of PSO algorithm implementation on mobile robot group to determine the robot closest to the target. The robot system that meets the principles of PSO, namely the process of data sharing and learning process.