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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Rizal Maulana
Teknik Komputer, Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Perancangan Bot Pada Discord Untuk Pengendali Aktuator di Raspberry Pi Tatit Kisyaprakasa; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Internet of things (IoT) is a relationship between machines, one of the well-known IoT is bot. In this research, a bot is designed that can be used with Raspberry Pi. Discord application is used and user can give a number of commands to the chat column so that the bot can run. In its implementation, 3 actuators used on bot and has performed all technical functions and every case thats can be done properly and successfully. In time measurement test using Stepper Motor 28BYJ-48, resulted average tambah command execution time is 334,14ms, the gerak command is 0,35ms and the hapus command is 1,04ms. When migrating using the Servo SG-90, it has an average tambah command execution time of 385,55ms, 0,33ms of gerak command, and 1,28ms in hapus command. In testing time using DC Motor the average execution time of the tambah command is 344,49ms, the gerak command is 0,33ms, and the hapus command is 1,22ms. The results of the average movement percentage error using the Stepper Motor 28BYJ-48 are 0,154%, the SG-90 Servo movement has a percentage of 0,991%, and the DC Motor rotation has a percentage of 28,02%.
Sistem Pendeteksi Tempo Lagu Untuk Kontes Robot Seni Tari Indonesia (KRSTI) Berdasarkan Frekuensi Dengan Algoritma Beat This Tio Haryanto Adi Putra; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesian Robot Competitions have become a known competition amongst robotics lover all over the country. Building robots has become its own hobby for the participants generating robots that are though and sophisticated which have a chance to replace human's labor in the future. These sophisticated robots however, are not easily made or built. It requires time and dedications to build one that can complete its purpose. One of the divisions in KRI is KRSTI or Traditional Dance Robot in which robots assumes humanoid figures and must be able to dance along with a given music or song. The process of building one is not easy unfortunately, there are a number of cases in which said robots dance awkwardly or even tipping over against its own weight. Using this research's sensor system, it is hoped that these poor robot will grasp the meaning of beats, loudness and the music's speed or known as tempo. Thus enables them to dance along flawlessly. The testing of said sensor system can give output every 125ms with accuracy up to 95.7%. In addition, this system also give secondary output with accuracy as high as 100% but with delay of two seconds.
Sistem Deteksi Api pada Quadcopter Ar Drone Menggunakan Metode Color Filtering HSV dan YCbCr Color Space Anata Tumonglo; Gembong Edhi Setyawan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fire events are disasters that occur because of the expansion of the source of the fire that propagates to potentially burned objects. In addition, these events are also often caused by irresponsible human negligence. Therefore risk management is carried out in anticipation of minimizing the impact of losses. One of them is by using a quadcopter to monitor and detect objects. This study was designed to detect hotspot objects in a room through image processing using the ArDrone front camera for sending raw frame data images at UDP port 5555. Image processing is implemented on the ROS platform which is used to connect quadcopter with GCS using OpenCv. This system utilizes the Hue Saturation Value (HSV) Color Filtering and YCbCr Color Space methods. The results of this study are in the form of a system on ArDrone that is capable of detecting hotspot objects. Testing on the system is done by doing detection tests with different distances with reference to the position of the hotspot object, testing the range of HSV value parameters along with YCbCr values in each condition, testing with a certain speed by reference to the position of hotspot objects and testing the system response performance. The results obtained are effective detection distance is 8 meters with an overall percentage of 83.33%, the speed of the appropriate ArDrone quadcopter if detected is with a speed of 1m/s and the system response performance to detect hotspot objects by 0.022 seconds.
Implementasi Maze Mapping pada Robot Line Follower untuk menentukan Shortest Path Yurliansyah Hirma Fajar; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In tracing a maze, in addition to finding a way out or a finish point, the robot will be more efficient if it can find the shortest route of the maze. The Line Follower Robot used to complete this line-shaped maze uses a TCRT5000 sensor consisting of 5 infrared sensors as an eye to detect the black line path of the maze. In tracing the maze, the robot uses the right hand rule rules. The mapping process using Maze Mapping method to save code of the array, then the robot will simplify the code that has been used, by using the shortest path algorithm, so that when the robot start again, robots will run according to the simplified path. The final result of the study is the comparison of time and the length distance from start to finish ̧ robots that use maze mapping, compare robots that do not use it. The test results of detecting black lines performed by the TCRT5000 sensors with 10 times experiments, each infrared sensor has a 0% error rate. The test results in mapping with 57 times experiments, generating robots moving according to the condition of the line and input from the infrared sensor, then the storage of the data array also corresponds to the movement of the robot. The average time and distance is taken from start to finish, for robot that do not use maze mapping and shortest path is 28.1 seconds and 364 cm, with 6 test times. While the average time and distance traveled start to finish for robots that use maze mapping and shortest path is 17.27 seconds and 284.5 cm with 6 test times. Then the robot that uses maze mapping and shortest path is faster 10.83 seconds and shorten the distance of 79.5 cm.
Implementasi Sensor Warna Pada Robot Lengan Pemindah Barang Menggunakan Inverse Kinematics: English Istiqlal Farozi; Rizal Maulana; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of technology in today's era is very fast, especially in the world of robotics. Therefore, many large companies are competing in making robots that can help ease the burden on humans in their activities, ranging from daily activities to activities in the industrial world. The robot that is commonly used in the industrial world is an arm robot, this robot can help in minimizing mistakes made by humans and make work faster. In setting the movement, the robot can use the Inverse kinematics method. This method can adjust the robot's movement to the coordinates that have been determined. The research aims to make a four DOF arm robot, equipped with an Arduino UNO microcontroller and servo motor servo and TCS3200 color sensor. From the results of the study found that the color sensor can distinguish the colors that have been determined namely red, green and blue precisely. For testing the accuracy of angles without using the method obtained an average in servo1 of 17.74%, servo2 of 16.97% and servo3 of 15.85%. While the angular accuracy testing using the Inverse kinematics method obtained an average of servo1 of 21.45%, servo2 of 21.45% and servo3 of 13.46%. Testing the angular accuracy by comparing the formulas of forward kinematics and inverse kinematics obtained a difference of degrees between 0 - 7.95⁰. And in the test of time in achieving the intended coordinate points obtained an average value of 7,094s to move the red cube, 7,518s for the green cube and 8.84s to move the blue cube. From the research it was concluded that the robot arm can make movements with several combinations using inverse kinematics with a success rate of 100%.
Implementasi Kontrol Proportional Sebagai Kontrol Pergerakan Mobile Robot Odometry Dalam Menuju Koordinat Target Mohammad Ali Muhsin; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of mobile robots today is very much and one example is mobile robot odometry which can move positions using complex calculations. In this final project research makes a control on the mobile robot to be able to move towards the target target using the odometry method. The control created is proportional control which is used to control the movement of the mobile robot towards the target target. This odometry method is very risky for errors. Proportional controls always require errors in the input data to get the output. The mobile robot prototype is built using various electronic components such as Arduino UNO as the center of data processing on the existing system, rotary encoder sensor to read the input data values, and the L298N motor driver as the PWM controller. Testing of rotary encoder sensors is done twice with the parameters of the forward and reverse rotation test. The results obtained from the rotary encoder sensor test show that the sensor can read the disk encoder hole properly. Testing of the L298N motorbike driver was carried out 2 times and each experiment was carried out 5 times with 100% test results. The test results of the control proportional used obtained the appropriate parameter values ​​for movement control, namely using the KP value = 3.0. After obtaining the appropriate proportional control parameter, the robot will move by calculating odometry towards the target coordinates of X and Y that have been entered through the Arduino IDE monitor series and if the target is in accordance the robot will stop.
Implementasi Algoritme K-Nearest Neighbour pada Sistem Monitoring dan Klasifikasi Air Aquarium Ikan Koi berbasis Embedded System Dwi Firmansyah; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Aquarium water conditions that are not good can cause disruption to fish health, water conditions that tend to be unstable can interfere and threaten the health of fish. Ammonia gas that is dissolved in water exceeds a threshold that can be tolerated by koi fish can cause koi fish tend to be inactive in the aquarium due to food debris or feces from the fish. The mq-135 sensor is a device for detecting unpleasant odors in the air, which in this system is used to obtain the value of ammonia gas contained in the water content. Salinity or dissolved salt levels in aquarium water can also cause irritation to fish skin and people so that fish tend to rub against the bottom of the aquarium, but if the salt level is well maintained it can prevent, treat and kill bacteria that interfere with fish health, one of which is a bacterium caused by fish waste (ammonia). So that in this study a system was made that could classify the condition of the aquarium water by implementing the k-nearest neighbor method. The input of this system is the reading value of the ammonia gas sensor and electrical conductivity which will then compute and display the classification results on the LCD and the sensor reading value sent to the thingspeak platform. The results of this study obtained an accuracy of 27.28% for testing the k value and testing the time needed to do the computation so as to obtain classification results with an average of 1897.5ms or 1.9 seconds.
Sistem Kendali Navigasi Robot Beroda dengan Gestur Tangan Menggunakan Metode Kalman Filter Amelio Eric Fransisco; Gembong Edhi Setiawan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Research on wheeled robot navigation control has been developed by using human commands directly, one of which is by using hand gestures. The aim is to overcome problems related to the navigation control system. The implementation of an inertial measurement unit (IMU) sensor was developed on the hand gesture control device to detect all forms of movement produced. However, the measurement results by sensors are often inaccurate. The Kalman Filter algorithm is the ideal approach to optimize the estimation of the inaccuracy of signals produced by sensors. Manually tuning the covariance filter is done by changing the matrix covariance noise process with the try and error method based on the predetermined test scenario. The Kalman Filter signal test results show the determination of the variable Q_angle = 0.001, Q_bias = 0.003 and the value of R_measure = 0.03 is optimal in estimating measurements to minimize the effects of noise.
Prototype Rancang Bangun Sistem Cerdas Pengatur Otomasi Suhu, Kelembaban, dan Sirkulasi Udara Pada Greenhouse Menggunakan Metode Fuzzy Logic Riski Kurniawan; Wijaya Kurniawan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Population growth from year to year is increased sharply, this has a negative impact on daily food availability. Increasing food needs are inversely proportional to the availability of increasingly narrow land, this must be addressed immediately so that we can avoid a prolonged food crisis. Based on these problems, we need a media that can produce food by using less land, in this case we take the example of a greenhouse. In a previous study, made a mini greenhouse that can regulate the temperature by output adjusting fan speed. In this study, the input parameters used are the DHT11 temperature sensor, keypad, and RTC. Whereas the output of the system is to turn on the power in the form of fans for circulating air and cooling greenhouses and heaters to regulate the heat in the greenhouse. Fuzzy method is applied to the system to control the aquatic in the form of fans and heaters according to needs. There are 2 input variables used in this system, namely temperature with 5 membership functions, and humidity with 3 membership functions. For output, there are 2 variables, namely fan and heater variables, while for rule base it has 15 fuzzy rules. From the test results, the system can work well with the results of fuzzy accuracy reaching 100%. This proves that the system works well in managing automation in the greenhouse.
Alat Pengklasifikasi Status Burung Puyuh Berdasarkan Berat Badan Menggunakan Metode K-NN Pada Embeded Sistem Boris Wiyan Pradana; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every year,Quail can producing eggs from 240 until 300 grain each head. With their small body, the result of their egg's production are high enough. For breeder raising quail is a good opportunity to make a profit with the many demands nowadays. The method that used by breeder to improve the quality of quails is to separate the cage according to the age of the quails. Separating cages is also useful for distinguishing feed, and quail's nutrition that needed. In this study, we will use body weight as a parameter to classify the status of quail growth, which in general farmers use age as a parameter to separate cages. Loadcell weight sensors will be used as a medium to measure bird weight. Then Arduino will be used as a microcontroller and LCD to display the results. In classifying quail based in body weight, it requires a method to calculate them. Method that used in this study is the K-nearest neighbor(KNN) method. This system will test several asppects of the system including sensor accuracy, comparison between age and weight classification, and system computation time. For the accuracy of the sensor we got the result of accuracy 96.67%. Then in testing using KNN based on body weight compared to age, get the result of an error of 2.23%. And for testing computation time, obtained an average time of 612ms.
Co-Authors Abdullah Asy Syakur Abdurrahman Arif Kasim Addin Miftachul Firdaus Adhly Hasbi Fadhlillah Adinugroho, Sigit Adit Ilham Nugroho Aditya Rafly Syahdana Agung Setia Budi Ahmad Fahmi AdamSyah Ahmad Rizqi Pratama Alfatehan Arsya Baharin Alfatehan Arsya Baharin Alfaviega Septian Pravangasta Ali Ilham Ainur Rahman Allif Maulana Althaf Banafsaj Yudhistira Amelio Eric Fransisco Amri Yahya Ananda Ribelta Anata Tumonglo Andre Ananda Pratama Anggi Fajar Andana Aras Nizamul Aryo Anwar Ariq Monetra Aufa Nizar Faiz Axel Elcana Duncan Bagas Nur Rahman Bambang Gunawan Tanjung Barlian Henryanu Prasetio Barlian Henryranu Prasetio Boris Wiyan Pradana Bramantyo Ardi Cahyanita Qolby Rahmarta Rizaputri Chandra Gusti Nanda Putra Chikam Muhammad Dadang Kurniawan Dahnial Syauqy Dian Bagus Setyo Budi Didik Wahyu Saputra Dien Nurul Fahmi Dipatya Sakasana Dony Satrio Wibowo Dwi Firmansyah Dwi Fitriani Dwiki Nuridhuha Eko Setiawan Ezra Maherian Fachrur Febriansyah Manangkalangi Fajar Miftakhul Ula Falachudin Akbar Farah Amira Mumtaz Farid Aziz Shafari Fauzan Rivaldi Fauzi Awal Ramadhan Fikri Fauzan Fikriza Ilham Prasetyo Fitrahadi Surya Dharma Fitriyah, Hurriyatul Galang Eiga Prambudi Gembong Edhi Setiawan Gembong Edhi Setyawan Govinda Dwi Kurnia Sandi Gusti Arief Gilang Habib Muhammad Al-Jabbar Habib Zainal Sarif Hafid Ilmanu Romadhoni Hafiz Nul Hakim Hafizhuddin Zul Fahmi Hamdan Zuhdi Dewanul Arifin Handoko Ramadhan Hani Firdhausyah Hanif Yudha Prayoga Hanifa Nur Halimah Hendriawan Dwi Saputro Hurriyatul Fitriyah Ichwanul Muchlis Ihsanurrahim Ihsanurrahim Imam Syafi'i Al Ghozaly Iqbal Koza Irham Manthiqo Noor Issa Arwani Istiqlal Farozi Izza Febria Nurhayati Jodie Putra Kahir Kezia Amelia Putri Kiki M. Rizki Lamidi Lamidi Leina Alimi Zain Lia Safitri M. Ali Fauzi M. Sandy Anshori M. Sifa'un Ni'am Mahesha Bayu Paksi Mario Kitsda M Rumlawang Marrisaeka Mawarni Mhd. Idham Khalif Misran Misran Moch Zamroni Mochamad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Mohamad Abyan Naufal Fachly Mohamad Muhlason Nur Aziz Mohammad Ali Muhsin Muhajir Ikhsanushabri Muhamad Ichwan Sudibyo Muhamad Irfanul Hadi Muhamad Taufiq Firmansyah Muhammad Bilal Muhammad Eko Lutfianto Muhammad Fatikh Hidayat Muhammad Jibriel Bachtiar Muhammad Kholis Fikri Muhammad Prabu Mutawakkil Muhammad Raihan Al Hakim Muhammad Rheza Caesardi Muhammad Yaqub Muhammad Yusuf Hidayat Nadi Rahmat Endrawan Nobel Edgar Nugraha Pangestu Octavian Metta Wisnu Wardhana Octavian Metta Wisnu Wardhana Oktaviany Setyowati Pabela Purwa Wiyoga Pinandhita Yudhaprakosa Priyo Prasetyo Putri Laras Rinjani Rachmat Eko Prasetyo Rahadian Sayogo Rahmat Yusuf Afandi Rakhmadhany Primananda Randy Cahya Wihandika Refsi Ilham Cahya Renita Leluxy Sofiana Ricky Zefani Aria Zurendra Ridzhal Hachim Wahyunanto Rifqi Alvaro Rifqi Anshari Riko Andianto Rimas Oktama Rint Zata Amani Rioadam Sayyid Abidin Riski Kurniawan Rizki Septiansyah Rizky Widya Mahendra Romario Siregar Rosyana Lencie Mampioper Sabitha Wildani Hadi Sabriansyah Rizqika Akbar Salsabiil Hasanah Satyaki Kusumayudha Shafa Sabilla Zuain Sulthan Ghiffari Awdihansyah Sutrisno Sutrisno Syahriel Diovanni Yolanda Tatit Kisyaprakasa Tedy Kurniawan Tezza Rangga Putra Tibyani Tibyani Tio Haryanto Adi Putra Tri Putra Anggara Upik Jamil Shobrina Utaminingrum, Fitri Vatikan Aulia Makkah Widasari, Edita Rosana Wijaya Kurniawan Willy Andika Putra Yanuar Enfika Rafani Yohana Angelina Sitorus Yohana Kristinawati Yurliansyah Hirma Fajar