Article Per Year (5 Year)
p-Index From 2020 - 2025
3.052
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding SNATIKA Vol 01 (2011) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Penelitian dan Pengembangan Komunikasi dan Informatika Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Mechanical Engineering for Society and Industry
Gembong Edhi Setyawan
Fakultas Ilmu Komputer, Universitas Brawijaya
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

Published : 85 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 85 Documents
Search

 1   2   3   4   5 
Aplikasi Kamera Pengawas untuk Deteksi dan Tracking Objek Setyawan, Gembong Edhi
Prosiding SNATIKA Vol 01 (2011) Vol 1
Publisher : Prosiding SNATIKA Vol 01 (2011)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRAK Salah satu aplikasi dalam bidang teknologi informasi dan telekomunikasi adalah membangun suatu sistem pengawas yang berbasis kamera. Dalam penelitian ini akan membahas perancangan kamera yang dapat mengikuti objek bergerak terutama untuk mendeteksi objek bergerak dan menentukan kontroler sebagai pengendali untuk menggerakkan kamera agar kamera dapat melakukan tracking terhadap  objek.  Aplikasi ini mengembangkan pergerakan kamera agar dapat bergerak secara otomatis baik secara vertikal maupun horisontal pada saat menangkap sebuah objek yang bergerak.  Pada sistem ini digunakan komputer untuk mengolah citra dari objek, untuk mendeteksi objek bergerak, menentukan titik pusat objek dan menentukan titik pusat lensa kamera sebagai sensor posisi. Selanjutnya informasi pengolahan citra digunakan sebagai data untuk menggerakkan kamera.  Selain komputer dibutuhkan rangkaian mikrokontroler AT89S51,  Rangkaian DAC, Pengkondisi Sinyal, Driver Motor, Motor Servo dan Web Kamera.  Untuk mengendalikan posisi  kamera digunakan kontroler PID digital dengan metode penalaan Zieger Nichols.  Hasil terbaik yang didapat untuk kontrolernya adalah kontroler proporsional dengan nilai parameter Kp=3,5. Kata Kunci: pengolahan citra digital, mikrokontroler, PID, zieger-nichols, image processing
WSN performance based on node placement by genetic algorithm at smart home environment Mochammad Hannats Hanafi Ichsan; Wijaya Kurniawan; Gembong Edhi Setyawan; Irma Asri Kartika Sandy
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11621

Abstract

Wireless sensor connectivity is one of several factors that determines the communication reliability of each node. The placement of the node depends on the area that covered by wireless coverage area, so the node placement should be optimally placed. But the other aspect is the sensor coverage area. Sensor coverage area sometimes could be different with wireless sensor coverage area. Based on that situation, it needs to optimize that situation. Genetic Algorithm is an algorithm that utilizes a heuristic approach that uses biological mechanism evolution. It used to evolution the best position of Sensor Node based on Wireless and Sensor coverage area. After the position of each node generated by Genetic Algorithm, it still needs to evaluate the wireless sensor node performance. The performance indicates that the genetic algorithm can be used to determine sensor node placement in the smart home environment. The smart home environment used to monitor event at the house such as wildfire. In this research used Quality of Services (QoS) to measure wireless sensor performance. The experimental testing scenario will be used to place several nodes that generated. The QoS performed systems reliability that produced based on 3, 4 and 5 testing nodes, the minimum and maximum of each: delay is 6.21 and 8.74 milliseconds, jitter is 0.11 and 1.59 Hz and throughput is 68.83 and 90.49 bps. Based on ETSI classification, the performance of sensor node placement is Good and acceptable in real-time systems.
Sistem Kendali Ketinggian Quadcopter Menggunakan PID Gembong Edhi Setyawan; Eko Setiawan; Wijaya Kurniawan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 2 No 2: Oktober 2015
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (843.756 KB) | DOI: 10.25126/jtiik.201522144

Abstract

AbstrakQuadcopter (Quadrotor Helicopter) merupakan salah satu jenis UAV yang memiliki 4 baling-baling.Quadcopter mempunyai kelebihan pada mobilitas dan fleksibilitas untuk menjelajahi wilayah yang sempit. Penelitian ini adalah tahap awal untuk merancang sistem navigasi otomatis UAV pada quadcopter, yaitu dengan merancang sistem kendali ketinggian UAV quadcopter menggunakan metode PID (Proportional Integral Derivative). Penalaan parameter PID menggunakan metode osilasi zieger nichols. Pemodelan matematis pergerakan quadcopter telah didapatkan di penelitian ini. Hasil dari pemodelan digunakan untuk menentukan parameter PID secara simulasi menggunakan MATLAB. Berdasarkan perangkat yang digunakan dalam quadcopter, pengendalian pergerakan dalam sudut roll (f) dan pitch (q)  memperoleh nilai Kp=0,12; Ki=0,037 dan Kd=0,0975. Pengendalian sudut yaw (y) memperoleh Kp=0,9; Ki=0,22 dan Kd=0,76. Sedangkan pengendalian ketinggian (altitude) didapatkan Kp=1,2; Ki=0,28 dan Kd=1,13.Kata kunci: ketinggian, PID, quadcopter, sistem kendali, UAVAbstractQuadcopter (Quad rotor Helicopter) is one type of UAV that has 4 propellers. The advantages of quadcopter UAV are the mobility and flexibility to explore a narrow region. This study is an early stage to design the automatic navigation system on the quadcopter UAV. The design of altitude control system of quadcopter UAV using PID (Proportional Integral Derivative) and method of Zieger Nichols became the focus in this study. This study have acquired mathematical modelling quadcopter UAV movement. The results of the modelling used to determine the PID parameters using MATLAB simulation. Based on the device used to control the movement of the roll angle (f) and pitch (q) obtained Kp = 0.12; Ki = 0.037 and Kd = 0.0975. Control of the yaw angle (y) obtained Kp = 0.9; Ki = 0.22 and Kd = 0.76. While controlling altitude obtained Kp = 1.2; Ki = 0.28 and Kd = 1.13.Keywords: altitude, control system, PID, quadcopter, UAV
PERFORMANCE CALCULATION OF HASH SHA-1 IN EMBEDDED SYSTEM USING ARDUINO Gembong Edhi Setyawan; Aryo Pinandito; Fajar Pradana
Jurnal Penelitian dan Pengembangan Komunikasi dan Informatika Vol 5, No 3 (2015): JPPKI
Publisher : Puslitbang Literasi dan Profesi SDM Komunikasi dan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of digital electronic devices that can communicate with each other causing the need for data security or data protection. However, in the many digital electronic devices are not equipped with security or protection of the data. In this study has the main objective to design an embedded system that can be added to the digital electronic devices to provide security or protection of the data. As the initial phase of the study, in this paper have measured performance data security in embedded systems with Arduino using a cryptographic algorithm SHA-1 hash function. Performance of SHA-1 hash calculation using linear regression approach of measurement results show for 1 byte of data takes time 2,505 ms. Each additional 1 byte of data calculation time hash function SHA-1 increased 0.0715 ms. Keywords: arduino, cryptography, data security, embedded system, hash function, SHA-1 
Sistem Deteksi Jumlah, Jenis dan Kecepatan Kendaraan Menggunakan Analisa Blob Berbasis Raspberry Pi Gembong Edhi Setyawan; Benny Adiwijaya; Hurriyatul Fitriyah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 2: April 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3164.817 KB) | DOI: 10.25126/jtiik.2019621405

Abstract

Penghitungan kondisi lalu lintas guna analisa kualitas jalan raya umumnya dilakukan secara manual. Hal ini tentunya membutuhkan biaya dan SDM yang tinggi serta tidak dapat dianalisa secara langsung. Dalam penelitian ini telah dikembangkan metode pengenalan jenis, jumlah dan kecepatan kendaraan secara otomatis menggunakan pengolahan citra digital. Metode yang berdasarkan analisa terhadap BLOB (Binary Large OBject) tersebut ditanamkan pada sistem berbasis Raspberry Pi. Setiap blob merupakan connected-component yang diperoleh dari proses thresholding terhadap perubahan nilai pixel dari sebuah frame dan frame rujukan dalam metode background subtraction. Jenis kendaraan ditentukan oleh jumlah piksel dalam bounding-box setiap blob. Jumlah kendaraan yang melaju dihitung dengan  memberikan garis virtual dimana jumlahnya akan bertambah jika centroid dari setiap bounding-box kendaraan melewatinya. Kecepatan kendaraan dihitung dengan membagi jarak sebenarnya dari koordinat awal hingga garis virtual sepanjang 12 meter yang dibagi dengan waktu centroid tersebut untuk menempuhnya. Algoritma tersebut diimplementasikan pada sistem berbasis Raspberry Pi dengan input kamera yang terhubung dengan serial monitor untuk menampilkan output penghitungan. Pengujian akurasi deteksi jenis kendaraan yakni sepeda motor, kendaraan ringan dan berat menghasilkan akurasi 93,39%. Pengujian jumlah kendaraan menghasilkan rata-rata akurasi 93,48% untuk semua jenis kendaraan. Pengujian laju kendaraan yang dideteksi dengan dibandingkan kecepatan pada spedometer kendaraan menunjukkan akurasi 93,9%. AbstractAn analysis on traffic condition usually carried out manually by visual observation. This method demands high human resource and cannot be analysed immediately. This paper present an algorithm to analyse type, number and speed of vehicles that passing by a road automatically using BLOB (Binary Large Object)  analysis. Each blob is a connected-component as a result of thresholding after background subtration process. Type of vehicles was determined by measuring pixel number of blob’s bounding box. Number of vehicles was determined by drawing virtual line where the number was increased once a centroid of bounding box passed it. Speed of vehicles was determined using basic speed formula where 12 meters of actual distance between the beginning coordinate and virtual line was divided by time to travel it. The algorithm was embedded in Raspberry Pi where videos were acquired using attached web camera. The analysis result was shown in connected serial monitor. Testing on vehicles’ type detection (motorcycle, light vehicle, heavy vehicle) result accuracy of 93.9%, number of vehicles result accuracy of 93.48%, whilst speed of vehicles result accuracy of 93.9%.
Perancangan Sistem Pemetaan Ruangan Secara Dua Dimensi Menggunakan Sensor Ultrasonik Ricky Prasetya Santoso; Wijaya Kurniawan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1228.445 KB)

Abstract

Mapping a location is the means used to obtain information from a point at somewhere dangerous or difficult to reach because of the great safety and accidents that can be experienced when seeking information itself is the direct human contact with the dangerous conditions. For that we need a device that can replace humans as subjects to search for an object at a point. Tools designed and realized in this thesis is used to map the room that the results can be viewed on a computer screen in the form of two-dimensional map space. This device consists of an Arduino Uno, HC-SR04 ultrasonik and dc motors. Based on the analysis of the results of system testing performed, the mapping system works well is able to visualize the location of a box in accordance with the previously arranged with an average of 93,1% accuracy of the system
Implementasi Kendali Palang Pintu Kereta Api Menggunakan IR Sensor dan NRF24L01 Bagus Priyo Pangestu; Barlian Henryranu Prasetio; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 4 (2017): April 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1050.058 KB)

Abstract

Crossings train is a cross where meetings of railway line with the way , the highway or a trail other. In indonesia , many cases accident in the area were caused lack of keys no have facilities cross bar train , hence often to cause casualties .In addition , there are also some cases accident on an area of crossings train because the factors human error like road users lacking in discipline or guard at the cross bar that causes inactive of cross bar as its function .To reduce factors accident above , so designed a system control cross bar train automatically with combined some ir censors or censor infrareds as count vehicles and read the speed of a train. Based two of the input , so produced a decision of output the movement of cross. The movement of the decision cross arranged using fuzzy logic sugeno which will produce cross movement move quickly , medium or slowly. For communication the submission of the data in wireless using module nrf24l01. Into execution of the entire program when run , 9971 been gained up to cross 10071 milisecond will close fast , 13031 up to cross 13080 milisecond will close medium and 22461 up to cross 22571 milisecond will close slowly with delivery performance data is wireless 460 up to 580 milisecond by inference a system of working to fit as desired with the execution of the program in do a decision less than a time limit set 61.2 seconds that is the train travel time prior to the the crossing gate railway with the top speed of 60 km per hour with error ratio 4.6 % between system time and realtime.
Pendaratan Otomatis Quadcopter AR Drone Menggunakan Metode Linear Quadratic Regulator (LQR) Amroy Casro Lumban Gaol; Gembong Edhi Setyawan; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1060.898 KB)

Abstract

Currently quadcopter, one type of UAV (Unmanned Aerial vehicle), became one of the mobile robot technology that is widely used by humans, it's used for commercial and development of quadcopter purpose. The reason quadcopter is widely used because of its ability to maneuver in all direction and flexibility. One of the interesting thinks to develop is safe landing problem of quadcopter, due a safe landing can reduce the risk of physical damage of the quadcopter. The purpose of this research was to implement LQR, Linear Quadratic Regulator method, for safe landing the quadcopter, this method is an optimal control that produce feedback gains for linear system by minimize quadratic cost function. LQR approach is used to control the attitudes and altitude to perform quadcopter landing that are implemented in ROS, Robot Operating System. The result of this research is to produce quadcopter landing method by knowing the settling time. Landing test was performed with variety of altitude i.e. at 1m, 1.5m, 2m, 2.5m, and 3m, and based on the result of landing test, the average of settling time for landing safely is 1.75 second for increment one meter of altitude.
Implementasi Pengendalian Quadcopter Dengan Prinsip Virtual Reality Menggunakan Google Cardboard Dimas Angger Pribadi; Eriq M. Adams Jonemaro; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (935.225 KB)

Abstract

Quadcopter is an RC Craft that is in great demand by humans both in personal use, or used as a research object for the development of quadcopter technology. One type that is often used as the ob­ject of research is Parrot AR.Drone. Parrot AR.Drone is a device that can be controlled by using android smartphone, where other drones still use the remote control. In addition to using android, Parrot AR.Drone can also be controlled by using other devices such as kinect, joystick, oculus rift and much more. This is because Parrot AR.Drone is an open source that can be developed by everyone. The author's interest in this research is to control Parrot AR.Drone with the principle of virtual reality using head movement. The purpose of this research was to create a quadcopter control program using head movement input with google cardboard device, which will provide first person view (fpv) experience to the user as if the user is in the quadcopter. In this research, google cardboard is used as a virtual reality support device to control the movement of Parrot AR.Drone. The result of this research is the quadcopter drone control program using head movement. Testing phase is done by testing each head movement to find out the response of Parrot AR.Drone movement. Based on the results of the tests conducted, obtained the result of control accuracy level is 97%, and different response times of drone movement when controlled.
Sistem Kendali Navigasi Ar.Drone Quadcopter Dengan Prinsip Natural User Interface Menggunakan Microsoft Kinect Sabitha Wildani Hadi; Gembong Edhi Setyawan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1480.593 KB)

Abstract

Quadcopter is a type of Unmanned Aerial Vehicle (UAV), which is a robot that can fly with fourpropellers. Quadcopter can controlled with remote control or smartphone, but it takes skill andexperience to be able to control quadcopter. Based on that problems, it is necessary to develop newinnovation of quadcopter navigation control system which is easier to use. The system built on thisresearch is made using one part of the natural user interface that is user's body gestures detected usingKinect. User's gestures will be converted into sceleton tracking. The sceleton tracking data will beprocessed by computer with javascript programming and will be forwarded into instructions to controlquadcopter. Quadcopter used in this research is Parrot AR.Drone 2.0. After performing test on thesystem, obtained percentage of accuracy of user's gestures to control quadcopter is 100%. In addition,the results obtained from the speed test of roll, pitch, and yaw on the quadcopter is directly proportionalto the input value of the user's gestures which means the speed of the quadcopter can be adjustedautomatically according to the user's gestures. For the delay on this system when the user moves thebody until the quadcopter follows the instruction is 0.05 seconds.
Co-Authors Abdurrahman Arif Kasim Achfas Zacoeb Achmad Baichuni Zain Adharul Muttaqin Aditya Rachmadi, Aditya Adnan Mahfuzhon Agastya Bramanta Sanjaya Agung Setiabudi, Agung Alexandria, Syarifah ALFATH, ANASHRULLAH FAIZAL Amrin Rosada Amroy Casro Lumban Gaol Anata Tumonglo Andi Mohammad Rizki Andyan Bina Ardhana Anindito Purnowidodo Ardandi, Haekal Fadhilah Ariadi, Yudhi Arista Budi Setyawan Arycca Septian Mulyana Aryo Pinandito Ayang Setiyo Putri Ayu Dewi Khumairoh Ayu Samura Bagus Priyo Pangestu Barlian Henryranu Prasetio Benny Adiwijaya Cindy Lilian Dahnial Syauqy Didik Wahyu Saputra Dimas Angger Pribadi Dimas Bagus Jatmiko Eko Setiawan Enno Roscitra Oktaria Eriq M. Adams Jonemaro Fachrur Febriansyah Manangkalangi Fahmi Farizal Faisal Natanael Lubis Faizal Andy Susilo Faizal Ardiansyah Fajar Miftakhul Ula Fajar Pradana Fajar, Sanhnai Fathirul Faviansyah Arianda Pallas Fikri, Aqil Dzakwanul Fitriyah, Hurriyatul Frans Herbert Nainggolan Fungki Pandu Fantara Handi Handi Hanifa Nur Halimah Haqqi Rizqi Hendra Hendra Hurriyatul Fitriyah, Hurriyatul Irma Asri Kartika Sandy Irma Asri Kartika Sandy Issa Arwani Khurinika Cahyaning Susanty Kurnianingtyas, Diva M. Khanif Ashar Mahendra, I Gusti Putu Krisna Suaba Megananda, Muhammad Rifqi Mesra Diana Tamsar Moch. Agus Choiron Mochammad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Moh. Zainur Rodhi Mohammad Kholili Adi Putra Mohammad Riski Aprilianto Muchamad Rafi Dharmawan Muhammad Alif Alfajra, Andi Muhammad Fajaruddin Akbar Muhammad Hanif Haikal Muhammad Rosyid Khulafa Muhammad Tri Buwana Zulfikar Ardi Muliyahati Sutejo Musada Teguh Andi Afandi Nengah Affan Riadi Okke Rizki Kurniawan Purnama, Charrisma Dwi Mahardika Trisna Putra Wijaya Raharja, Kahfi May Rahmat Naharu Yanuar Rakhmadhany Primananda, Rakhmadhany Randy Maulana Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Rennie, Allan E.W. Reza Ridlo Nugraha Reza Tanjung Ahmad Fauzi Ricky Prasetya Santoso Riko Andianto Rimas Oktama Rinaldi Albert Soritua Riza Irfan, Muhammad Rizal Maulana Sabitha Wildani Hadi Sabriansyah Rizqika Akbar Simanjuntak, Eldon Parasian Solly Aryza Sunu Dias Widhi Kurniadi Syarif Hidayatullah Tadya Adi Prana Tibyani Tibyani Utaminingrum, Fitri Wahyu Hari Suwito Wijaya Kurniawan Wijaya Kurniawan Wijaya Kurniawan Wirawan, Willy Artha Yusril Dewantara Zakky Ramadhan