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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

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Perancangan Sistem Keamanan Motor Dengan Menggunakan State Machine Arycca Septian Mulyana; Wijaya Kurniawan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Based on data obtained from BPS (Statistics Indonesia) regarding motorcycle theft cases in Indonesia shows an increase in each year. So that makes people become more worried about the safety of two wheeled vehicles. There are many security systems of two-wheeled vehicles that have been circulating in Indonesia, but the price offered relatively expensive, thus making people reluctant to use it. To that end, the authors have made the design of motorcycle security system by using a State machine that utilizes multiple sensors and existing technologies. The sensor used is a fingerprint sensor and GPS sensor, coupled with some technology in the form of data transmission using SMS-Gateway. The fingerprint sensor is used to detect fingerprints from vehicle users, GPS as location readings and notices when two-wheeled vehicles move while parked, and SMS-Gateway as a location data transmission medium and two-wheel drive notification. In making the program will be used State machine as the method. Finite state machine has three basic elements, namely State, Event and Action. Based on the results obtained from testing on the system, it can be concluded with the existence of this system the safety level of the motor can increase, and the time obtained in the delivery and reception of data is relatively efficient or brief and the use of state machine on the system can run well.
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.
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 Pengkondisian Kipas dan Lampu Otomatis Menggunakan Logika Fuzzy Randy Maulana; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
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

Electrical energy needs in Indonesia is increasing along with economic growth and national industry and population growth every year. This increase occurs because electronic appliances such as air conditioners are left on, even though no one is in the room, the same example on the TV and left lit continuously in a room. This common practice is due to the principle of electronic devices using the on-off principle. To overcome these problems in this study will implement a system of fan and lamp conditioning using Fuzzy logic. The system will use some hardware such as Arduino Mega microcontroller with LDR input sensor as light sensor, DHT11 as temperature sensor, and two ultrasonic sensors as motion and distance sensors, and output will use DC motor as fan, and LED as lamp. Fuzzy logic on the system will use the help of Embedded Fuzzy Logic Library (eFLL), the library is used to facilitate the implementation of fuzzification process that determines the membership function of input and output, the inference process is the formation of Fuzzy rules and defuzzification process that is convert the input value into firm value. The level of accuracy and success of Fuzzy logic on the system will be tested by comparing the value of system output on the tool with the system output value in MATLAB. The average accuracy obtained for fan output reached 98.77% and the lamp output reached 92.54%.
Implementasi Sistem Klasifikasi Sampah Organik dan Anorganik dengan Metode Jaringan Saraf Tiruan Backpropagation Fungki Pandu Fantara; Dahnial Syauqy; Gembong Edhi Setyawan
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

Organic and inorganic waste have different decomposition time. Organic waste has longer decomposition time than inorganic waste. So, organic and inorganic waste have a different ways of handling recycling. Sorting garbage before being accommodated to landfills (TPA) is very important to reduce the amount of garbage dump that keeps increasing every year. This research examines the implementation of classification system of organic and inorganic waste by using artificial neural network method backpropagation. Artificial neural network architecture applied is 3 neurons in the input layer, 1 layer hidden with 4 neurons, and 1 neurons on the output layer. Data training is not performed on built systems but on additional systems to search for weights, so the built system only predicts data directly from sensor readings. Based on this research, the system can be built using 3 sensors which are used as input data, they are: Light Dependent Resistor (LDR), inductive proximity, and capacitive proximity and a servo output which can open the lid automatically based on the classification result done by system. The system has 90% accuracy with the performance of each prediction takes 42.9ms average time.
Implementasi Low Power Pada Embedded System Untuk Mendeteksi Kondisi Kebakaran Dalam Ruangan Rinaldi Albert Soritua; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
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

Fire is an event caused by unrestrained fire by human. Fire could cause various losses from treasures to casualties. Based from that problem needed a system that able to detect fire based on smoke level, room temperature, dan existence fire source. In implementation needed low power to save power consumption when system not detect a fire. The output of the system is current condition which is no fire, fire and smoky little, fire smoky and lot that shown on LCD and sound from buzzer. Arduino Mega 2560 implanted fuzzy logic as output decision based on fuzzy calculation. If system not detect a fire then system will switch to sleep mode, yet if system detect an output which is smoky, fire and smoky little, fire smoky lot it will shown on LCD and sound from buzzer. The used feature is sleep mode power down to turn off some sub-system. Testing resulted system is running accordance with the principles of it works. The average system execution is ±33284,2 ms. On the power consumption of the device is able pressed for 40mA from 245mA to 205mA with implementation sleep mode power down.
Rancang Bangun Alat Pendeteksi Kecelakaan Mobil Menggunakan Sensor Akselerometer dan Sensor 801s Vibration Adnan Mahfuzhon; Tibyani Tibyani; Gembong Edhi Setyawan
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

The improvement of infrastructure, especially road and freeway, will make the transportation service industry more promising. One of them is car rental service business, increases up to 70%. There are several reasons why car rental service becoming the first choice than buying or owing a car, specifically for business world. Besides saving the budget, renting a motorbike also erasing several difficulties, for instances, maintenance, extension for important letters, even decreasing losing the motorbike. Based on the data obtained from the increasing of car rental service business, it is needed to keep the comfort between the service provider with the customer. The important thing to be noticed, when the service provider must maintain the rental cars. Also, the customer must take care of the rented car. From the problem, it is need to conduct a research related to accidental notification for keeping the cars and customer's comfort. The process of collecting the test data manually to be made the input for calculating naive bayes. The data adjustment is set by referring to accelerometer data, if the data is more than 4 grams so it is categorized in accident condition. Collecting the data in the running condition obtained the value of accuracy up to 90%, then when collecting in the sudden stop condition obtained up to 78%, and in accident condition obtained up to 98%. The data test results from the classification results using naive bayes, they are obtained by collecting the test data in each one for 16-time tests in every scenarios. In running condition, it is obtained the value of accuracy up to 98,7%, in the sudden stop condition obtained the value of accuracy up to 87,5% and in the accident condition obtained the value of accuracy up to 98,7%.
Sistem Penentu Suhu Dan Kelembaban Incubator Telur Unggas Berdasarkan Berat Dan Warna Telur Menggunakan Metode Fuzzy Moh. Zainur Rodhi; Dahnial Syauqy; Gembong Edhi Setyawan
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

Egg hatching machine is one innovation in technology that is proven to increase production results in poultry farming. But the existing egg hatchery machine is considered still less efficient, because in terms of functionality, one unit of egg hatchery machine only serves to incubate just one particular egg species and can not be used to incubate different egg species. As the result based on this problem, come an idea for designing temperature and humidity control sistems using the weight and color of poultry eggs on poultry egg Incubator for chicken egg, duck egg and quail egg. This sistem is created using a load cell sensor to detect the egg weight, color sensor TCS3200 to detect egg color, DHT11 sensor to detect air temperature and humidity and arduino uno as the data processor of the sensor. The process of detecting eggs done by using fuzzy logic. This sistem is able to adjust the temperature and humidity values ​​in the Incubator automatically according to the egg species detected. Adjust the temperature value using a bulb lamp which functions as a heating, while for humidity use humidifier which functions to increase the value of air humidity. From the results of fuzzy logic testing obtained error percentage of 0.001%, and aktuator conditions to adjust the temperature and humidity values is in compliance with the required conditions.
Perancangan Sistem Keamanan Pada Smart Home Menggunakan Voice Command Dengan Konektivitas Bluetooth Mohammad Kholili Adi Putra; Sabriansyah Rizqika Akbar; Gembong Edhi Setyawan
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

Home security systems are a necessity for every home, for instance home alarm that is still many used. But, along with the development of the present technology, home security system has various kinds and will keep moving for the development. The lack of security level has the impact of theft and burglary in house. Sometimes, the house owner thinks that he has locked his house, but in reality, the burglary case in house now is due to the easy thing for the burglar to open the installed lock door by using a wire or other imitated keys. Based on the problem, it is need to add the door safety that can be controlled by using Android smartphone with voice command. Voice command recognition system is one concept of controlling the electronic devices by using voice command. By applying the Google Voice Command technology, the system can turn on and turn of the home equipment by the support of microcontroller and Bluetooth. The research explains the design of home security system using voice command that is used by the android application with the Bluetooth connection to control the solenoid door lock, PIR, and RTC. From the test result, the system has value of success 93,33% in functional testing and processing testing the user input in controlling solenoid door lock. In sensor PIR testing, the value of success is up to 100%. The next test is RTC, the value of success is up to 100%.
Penggunaan Finite State Machine Untuk Navigasi dan Kendali Ar.Drone Quadcopter Menggunakan Microsoft Kinect Reza Tanjung Ahmad Fauzi; Gembong Edhi Setyawan; 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

In the life of the general public and professional, the need for computer-based systems that robots have increased rapidly. Along with the increasing needs of the community on the use of robots in everyday life, the capabilities of the robots are also increasing with the aim that robots can complete the tasks assigned by human. One important aspect when a robot collaborates with a human is the security of the robot when performing tasks in the human environment both to the general public and professional. One of the steps applied to the robot in order to increase the security level of the robots when operating within the human environment is to apply finite state machine method into the robot system. Finite state machine is an abstract machine consisting of a set of conditions, an initial condition, an input, and a transition function that maps the input and the current state to the next condition. In this research, the implementation of finite state machine method in quadcopter control and navigation system using the Kinect sensor. Then compare the quadcopter control and navigation system with the Kinect sensor that applies finite state machine method with quadcopter control and navigation system with Kinect sensor which does not apply finite state machine method. Based on the combination of motion testing that was carried out fourteen times using the finite state machine method on this system, the results of quadcopter movement were found which did not occur in collisions of objects around the quadcopter.
Co-Authors Abdurrahman Arif Kasim Achfas Zacoeb Achmad Baichuni Zain Adharul Muttaqin Aditya Rachmadi, Aditya Adiwijaya, Benny 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 Cindy Lilian Dahnial Syauqy Didik Wahyu Saputra Dimas Angger Pribadi Dimas Bagus Jatmiko Eko Setiawan 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 Fitra Abdurrachman Bachtiar 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 Purnomo, Fawwaz Anrico 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 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