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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal EECCIS Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Wijaya Kurniawan
Fakultas Ilmu Komputer Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Sistem Pendaratan Otomatis Quadcopter dengan Pengolahan Citra menggunakan Metode Douglas Peucker Cindy Lilian; Gembong Edhi Setyawan; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Unmanned Aerial Vehicle (UAV) has proven to be a useful tool in many fields. UAV or quadcopter is equipped with a number of sensors and imaging systems that can perform various image-based things. This proves that quadcopter utilization can be allocated for a particular purpose, for example the purpose of reaching the landing mechanism. The landing is a phase that can cause fatal damage to the quadcopter if it does not land in its place. Thus the quadcopter is designed to automatically land on an object in various forms using the douglas-peucker algorithm. First convert the RGB color space to grayscale for easy to detect objects and eliminate noise using blur. Then it detects the edges of the object using canny and proceeds to search for the appropriate contour values ​​to get the edges of the object so that the quadcopter can recognize each object shape from the edge obtained and assisted with the object counting using the douglas-peucker method. Then it will be displayed on a frame that is divided into 9 grids and performs automatic movement according to the grid position until perform autnomous landing. Testing is done by testing the movement of quadcopter to detect object with speed 0,3m / s and 0,5m / s and test landing accuracy with height 125cm, 150cm, 175cm and 200cm. The results show that, at a speed of 0.3 m / s obtained the percentage of accuracy of good object detection is 100% and obtained the best landing percentage accuracy is 83.3% at 125cm altitude.
Implementasi Algoritma Wall Following pada Manuver Robot KRPAI Quadruped Omni Direction Menggunakan Metode Fuzzy Sugeno Muhammad Yusuf Hidayat; Wijaya Kurniawan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The world of robotics is now constantly developing. In Indonesia the government strongly supports the world of robotics with the holding of various kinds of robotics competition which one of them is Indonesia Robot Contest. In the contest there are various kinds of robots that are contested one of which is the Indonesian Fire Extinguisher Robot Contest where the robot must walk in the match arena to find and extinguish the fire. Today many robots use the hexapod or 6 foot robot concept with wall following as the maneuvering algorithm. But with robotic design robot hexapod must do 90 degrees rotation when there is a hitch in the front so need more time. For that required a robot design that can perform maneuvers properly and quickly. So to overcome these problems, in this research do the implementation of wall following algorithm on robot maneuver quadruped omni direction by using fuzzy method for robot decision making. With the design of robot quadruped robot is possible to maneuver in omni direction so that the robot does not need to rotate and get results faster. From the test results obtained robots who perform maneuvers omni direction is faster than the rotating robot maneuvering with the average speed difference of 4.1 seconds. The robot can run and can maneuver well using wall following algorithm and fuzzy logic with 100% success rate.
Analisis Pengaruh Koordinat Akhir dan Panjang Lengan Terhadap Akurasi Posisi Pada Metode Inverse Kinematics dan Iterative Farid Aziz Shafari; Rizal Maulana; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the obstacles in industrial robotics is reducing errors between robots and target points because it has a great impact in the accuracy of a robot. To improve the accuracy, optimization of existing methods is needed. Kinematics is required by industrial robots to calculate the angle to get the specified position. To find out how much angle needed, Inverse Kinematics method is used by putting the target point into the calculation then the result is the angle to be reached by each joint. But, in reality, after the resulted angle being put again in Forward Kinematic equation, the result is not the same as the initial target. From this problem, Cyclic Coordinate Descent (CCD) method is created to solve it. CCD method works with iterative approach, which moves the joint one by one based on the distance of the end-effector to the target. Results from experiments using SCARA robot and 2 kinds of testing showed that CCD method could reduce the average error between end-effector and target up to 20% than Inverse Kinematic method. However, CCD method requires 0.31505 seconds longer than Inverse Kinematic due to its iterative behavior. From the results, it can be concluded that the CCD method with SCARA is effective enough to reduce the accuracy error when moving to the target position.
Implementasi Low Power pada Sistem Notifikasi untuk Gamer yang Bermain Intense Berbasis Embedded System Irfan Pratomo Putra; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In Indonesia, games have become a game that people love. Both from adults, teenagers, to children. Players in Indonesia have reached 43.7 million where 26% are people aged 21-35 years, then 21% of them are people aged 10 -20 years. If playing too long this can lead to a problem especially on their health. If they play the game for too long, then their eyes can feel sore, and otherwise can make headache caused by lack of room lighting. In addition to the problem of games there are also other problems, that problem is the resource they used. Therefore, there are systems that will provide notifications when gamers play unhealthy. Hopefully they can play in sufficient place of lighting, play within a safe distance from the monitor and prevent them from playing for too long. This system will be active continuously so it needs a lowpower method to suppress the use of resources, current, and the system can be active for as long as possible. The current that the system uses after testing is 3.8 mA in sleep state and when normally it's 169.9 mA. In addition to current testing, tested also how the level of accuracy of the sensor and obtained the accuracy of the distance sensor of 98.07% and then the accuracy of LDR sensor of 96.42%.
Implementasi Sistem Pendeteksi Premature Ventricular Contraction (PVC) Aritmia Menggunakan Metode Naive Bayes Gusti Arief Gilang; Rizal Maulana; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Premature Ventricular Contraction (PVC) Arrhythmia is an anomaly heartbeat that occurs because of the heartbeat rhythm disorder in the ventricles. PVC that happens too often can lead to dangerous disease such as heart failure.From this problem, it is necessary to make a system that detect the type of PVC that can be used independently so it can reduce the number of individuals who have a heart disease because of PVC. This research has a parameter used to make a comparison on each type of PVC, that is heartbeat time interval and BPM by using ECG technique to measure the heartbeat. Determination of PVC type with those parameters is obtained from ECG AD8232 sensor value by Arduino Uno using Naive Bayes method. Naive Bayes is used in this research because PVC can be classified by using nine features as the basis, that is eight R Interval value and BPM value. This research outputs is displayed using Processing. A BPM tests of this research gives 8,558% percentage average error. Furthermore, a classification result test using Naive Bayes with 46 training data and 14 test data gives 92,857% accuration with 7,2 second average computation time.
Sistem Kendali Navigasi Ar Drone Berbasis Pengenalan Teks Dengan Menggunakan Metode Optical Character Recognition Haqqi Rizqi; Gembong Edhi Setyawan; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Quadcopter is one of Unmanned Aerial Vehicle which is used such a field of defense, agriculture and other fields. UAVs have proven their usefulness like the Amazon E-commerce giant that uses UAV as a medium of delivery of orders to customers with guaranteed goods will arrive in approximately half an hour. Many features of developed Quadcopter UAVs such as face recognition, object tracking and landing on specific objects. Along with the benefits that are increasingly widespread in various areas of features owned needs to be upgraded again like a feature to perform automatic navigation by simply reading the text on an image. So in this study has designed a navigation system on the type of Ar Drone quadcopter using optical character recognition based on the graphical programming using LabVIEW. The result show accuracy of reading text found the best distance is 1 m with 100% success.
Implementasi Sistem Notifikasi Keadaan Darurat Berbasis Aplikasi Mobile Web dan Arduino Mega Menggunakan Logika Fuzzy Prayoga Febriandika; Wijaya Kurniawan; Agi Putra Kharisma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Emergency situation for every human individual Usually a normal condition that has a tendency or potential that is good for humans, property and the environment. At a time when humans experience an emergency, it is very necessary rapid handling to cover the incident. There is no system as a notification between the victim with others, when the victim experiences an emergency. With this tool, the closest family will know the condition of the user in the event of an emergency. Users only have to press the button as a trigger and then pass the sound sensor or send an emergency signal for the system to send notification to the mobile web app, which then the mobile web app as monitioring user by the closest family, and the family will know the last position of the victim through the GPS module when the user . In this research, Fuzzy sugeno method is used to determine a system under the condition that is user condition (normal or emergency). The system prototype is built using several modules and sensors, ie GPS module, ESP8266 Module, Push Button, Sound Sensor, Gyroscope Accelerometer MPU6050 Sensor, and Arduino Mega as microcontroller. Based on the test results of the system can be seen that the calculation of logic Fuzzy manually the same with the output of Fuzzy logic on the system. the level of accuracy on this system of 100% on the accuracy of the data sensor, Fuzzy logic and systems can send a notification upon user experiencing emergencies.
Analisis Perbandingan Proses Pengolahan Citra Menggunakan FPGA dan Mikrokomputer Muhammad Naufal; Wijaya Kurniawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Image processing is an important aspect in life because human needs are increasingly growing day by day, so we need a system that can process image effectively. To find out what systems can effectively process images, a comparison analysis of image processing between two systems, FPGA and Microcomputer is performed. FPGA used is myRIO while the Microcomputer used is Raspberry Pi. The study was conducted with common image processing algorithms such as Gaussian blur, Laplacian edge and Sobel edge. First the RGB image is converted to grayscale for easy image processing and then eliminated its noisenya with gaussian blur algorithm. After that the image is detected edge with laplacian edge and sobel edge algorithms. The test was performed by processing three different image sizes on three different algorithms and performed ten tests and taken the average time of image processing on both systems. The mean time of image processing with Gaussian blur algorithm is 0.485s on FPGA and 0.165s on Microcomputer. For Laplacian edge mean time algorithm is 0.492s on FPGA and 0.202s on Microcomputer while for Sobel edge algorithm its average time is 0.498s on FPGA and 0.234s on Microcomputer. But actually for all algorithms, FPGA time remains the same but different on three different sized images respectively are 0.01053, 0.03074 and 0.06076 seconds.
Implementasi Pergerakan Lengan Robot Dengan Flex-Sensor Menggunakan Kalman Filter Hanif Yudha Prayoga; Rizal Maulana; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The advancement in the world of technology today is very rapidly, especially in the robotics. Creation of robots is based on processes to assist human activities, ranging from easy to heavy and dangerous jobs. With a manipulator robot (robotic arm) a company has the advantage to save more worker and reduce human mistakes. Robot Manipulator is a mechanical part that can be enabled to move, lift and manipulate an object. The robotic arm consists of actuators and some DOF (Degree of Freedom) which is useful as a tool of motion of the robotic arm. To move the robot itself required some sensor, and flex sensor is a sensor to identify the resistance of human arm movement. But to move the robotic arm required a method for the output of the arm has a good accuracy then Kalman filter is used that serves to reduce the value of uncertainty caused noise in the sensor readings. In this study, a robot arm was made using Arduino UNO and servo motors as robotic arm output. The use of Arduino UNO because it has facilities DC jack that can be used for sensors. As well as the servo motor, the servo motor can set the value of the degrees of movement. From the results, the robotic arm can perform movement according to input from the human arm. The robot can move and can perform some combination of movement using Kalman filter method with 100% success rate.
Implementasi Teknik Enkoding Digital Pembacaan Sensor Ultrasonik Untuk Memetakan Keputusan Aksi Robot Quadruped Oggy Setiawan; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Technology development has created various kinds of technology improvement, especially in robotics. Legged-robots has several advantages; they can move in both smooth and rough areas, wavy, uneven or flat, climb the stairs, avoid and step in the distractions. One of the problem in designing a robot's ability is the robot's localization system to know the position in a certain time. Digital encoding technique is a series of combination that produces specific output such as binary as a response to one or more active input that is used to simplify data and can be built from a simple logic gate AND and OR. The digital encoding process start from the making of truth table, digital encoding technique formula, and simplification by K-MAP. Implementing digital encoding technique using 8 ultrasonic sensors to map 8 motor actions of the quadruped robot. Testing is done in three things; the accuracy of ultrasonic sensor HC-SR04, digital encoding computing time, and the accuracy of classification result in digital encoding technique. From the test we can get robot's motor action accuracy by implementing digital encoding technique as much as 98% with the average computing time is around 0,15 seconds when one of the sensors is given a 7 cm incline and 0,17 seconds when one of the sensors is given a 20 cm incline.
Co-Authors Abdul Khafid Abdul Rahman Halim Achmad Rizal Zakaria Afredy Carlo Sembiring Agi Putra Kharisma Agung Prasetyo Agung Setia Budi Ahmad Khalid Azzam Amroy Casro Lumban Gaol Anggi Diatma Styandi Aras Nizamul Aryo Anwar ari kusyanti Arif Nur Agung Laksana Arycca Septian Mulyana Ayu Samura Barlian Henryranu Prasetio Bayu Widyo Harimurti Cindy Lilian Cipto Bagus Jati Kusumo Da'imul Royan Dahnial Syauqy Deddy Aditya Kurniawan Dedy Eka Prasetya Denis Andi Setiawan Devo Harwan Pradiansyah Doni Hadiyansyah Ega Dewa Iswantoro Eka Nanda Sugianto Eko Setiawan Enno Roscitra Oktaria Farid Aziz Shafari Fariz Andri Bachtiar Fauzi Awal Ramadhan Fitriyah, Hurriyatul Galang Eiga Prambudi Ganda Wibawa Putra Gembong Edhi Setyawan Gusti Arief Gilang Hafizh Hamzah Wicaksono Hafizhuddin Zul Fahmi Hanif Yudha Prayoga Haqqi Rizqi Hendra Hendra Hernanda Agung Saputra Heru Nurwasito Indra Dwi Cahyo Intan Fatmawati Iqbal Yuan Avisena Ira Oktavianti Irfan Pratomo Putra Irfani Fadlan Istiqlal Farozi Jodie Putra Kahir Joniar Dimas Wicaksono Khurinika Cahyaning Susanty Kiki M. Rizki Lamidi Lamidi Lintang Cahyaning Ratri Lita Nur Fitriani Loki Sudiarta Mongin M Adinura Julian Habibie Mario Kitsda M Rumlawang Mesra Diana Tamsar Miftahul Huda Mochamad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Mohamad Misfaul May Dana Mohammad Lutfi Zulfikri Muhammad Adi Wijaya Muhammad Eraz Zarkasih Muhammad Faza Ramadhana Muhammad Kevin Pratama Muhammad Naufal Muhammad Rasyid Perdana Muhammad Wafi Muhammad Yusuf Hidayat Muliyahati Sutejo Muzammilatul Jamiilah Novaria Elsari Ryzkiansyah Octavian Metta Wisnu Wardhana Oggy Setiawan Pierl Kritzenger Sinaga Prayoga Febriandika Puguh Bahtiar Rafif Nurmanda Ghafurutama Raga Jiwanda Rakhmadhany Primananda Rando Rando Reza Akhmad Najikh Reza Tanjung Ahmad Fauzi Ricky Prasetya Santoso Riski Kurniawan Rizal Maulana Rizal Setya Perdana Sabriansyah Rizqika Akbar Salman Farizy Nur Samkhya Aparigraha Septian Mukti Pratama Shandi Sonna Mahardika Sigit Priyo Jatmiko Syahrul Yoga Pradana Tantri Isworo T. R. P. Tezza Rangga Putra Utaminingrum, Fitri Widhi Yahya Wifki Ato'ur Rochim Yongki Pratama