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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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Scoring System Otomatis Pada Lomba Menembak Dengan Target Sillhouette Hewan Menggunakan Metode Klasifikasi Naive Bayes Muhamad Taufiq Firmansyah; Rizal Maulana; Mochammad Hannats Hanafi Ichsan
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

Shooting is a competitive sport that tests proficiency, accuracy and speed by using different types of weapons such as firearms to wind weapons. Shooting competitions are usually held by the Indonesian Shooter Union or PERBAKIN as a form of training and gathering of its members. In this competitions, the score calculation system still using manual method. In this research will be made “Automatic Scoring System On Shooting Competition With Target Animals Sillhouette Using the Naive Bayes Classification Method” to determine which type of Sillhouette is shot and add a score on the system monitor.The Naive Bayes Classification Method is used in the classification process of the hit Sillhouette to influence the score in the Competition. The prototypes of this system use some components of ADXL335 Accelerometer, Load Cell, Limit Switch, Switch, HX711 Module, and Arduino Mega 2560 and Arduino Uno as processors. Based on the results of the test on this system, the accuracy level of the sensor data is 95.73% and the accuracy of the Naive Bayes classification is 100%.
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.
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.
Sistem Monitoring Denyut Jantung Menggunakan NodeMCU dan MQTT Falachudin Akbar; Rizal Maulana; Hurriyatul Fitriyah
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

Heart rate is one of the basics to know basic health. Symptoms from the heart rate is tachycardia and bradycardia, that conditions are not nomal. The incidence of abnormal symptoms in the heart rate may indicate a disease. Therefore, this research is designing tools for heart rate monitoring. This heart rate monitoring system measures the heart rate by reading the pulse sensor value, after that nodemcu will process reading heart rate value to get BPM (Beat per Minute). After getting the value of BPM, System check if more than 100 will send SMS danger tachycardia, if less than 60 will send SMS danger bradikardia. System will send BPM data to the thingspeak channel using MQTT. The system will always be ready to receive SMS request heart rate which will reply SMS with BPM value. The results of the system functionality test can be successfully performed and the results of the heart rate reading test resulted in a percentage error of 2.6%. In testing heart rate data transmission to the Thingspeak channel, sending SMS warnings, and replying to sms with the latest heart rate can be successfully done.
Sistem Pendeteksi Penyakit Daun Bawang Merah Probolinggo Menggunakan Metode Template Matching Berbasis Raspberry Pi Moch Zamroni; Hurriyatul Fitriyah; Rizal Maulana
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

By the progress of technology currently is also increasing demand for microcomputer systems that can provide benefits for human life. This system has an important role to help humans, so it is useful for the layman in the field of shallot leaf agriculture. This Embedded system has a camera image capture input of a leek object that will be compared to templates already available in microcomputers, then the value is selected will be processed to the Template Matching method with the specified threshold limit, and will output one of the LED lights which is already available. Therefore, a system is designed to detect the disease of shallot to determine the leaf disease on the shallot. The results of this test show the Logitech C270 camera can take pictures. Based on the results of testing the accuracy of Template Matching method that the amount of 30 data there are 6 results from systems that does not match the actual class. So the accuracy is obtained by 80%. Performance of the system response time has a time value of 15.977 seconds from 30 tests. In this research, a system to detect the disease of shallot using template matching, where the applied method is able to run by what is desired proven by the system can classify the type of leaf disease into purple patch leaf disease, moisture and Moler.
Rancang Bangun Pengendali Pintu Gerbang Tol Dengan RFID Menggunakan Logika Fuzzy Muhammad Raihan Al Hakim; Rizal Maulana; Hurriyatul Fitriyah
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

Congestion that occurs at the toll gate is due to the increased volume of vehicles that cannot be accommodated by the road capacity and the payment system that is running is unable to overcome the congestion. Based on this, a system developed that helps efforts to minimize congestion at toll gates using the Fuzzy method. As an observer of the density condition, Ultrasonic sensor is used, as a payment instrument as well as the vehicle size reader used RFID RC522, the system output is used by the servo as the toll gate and then processed in the Arduino Mega 2560 microcontroller. the min implication process and Fuzzy system inference are max, from the inference stage followed by the defuzzification process and obtained a strict value for servo in determining the duration of the opening of the toll gate. In testing, the Ultrasonic sensor has the same measurement in measuring distance using a ruler. RFID as a system interface produces fast reading accuracy and has a maximum reading distance of 1 cm. The system output has a difference in the difference in servo position degree measurement with manual measurement of 2.4 degrees and an error of 3.766%. After the system is implemented, the results of the system calculation are then compared with the sample data obtained from several experiments, overall the calculation of Fuzzy logic on the opening time of the toll gate has an error percentage of 4.189%.
Implementasi Real Time pada Pergerakan Robot Quadruped mengggunakan Multisensor dan RTOS Hendriawan Dwi Saputro; Rizal Maulana; Mochammad Hannats Hanafi Ichsan
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

Technological developments in robotics experience rapid development continuously, one of them the development of robot control systems such as increased program execution speed and better processor performance allows the use of Real Time Operating System (RTOS) in embedded systems. Improved performance is required by the robot so that the robot can reach the target of precision in moving and speed time execution. By the development of RTOS application in this research, it will apply RTOS in embedded system that is movement of quadruped robot. The RTOS used in this study is FreeRTOS because the system is already available in the Arduino microcontroller. For the RTOS type, it is a soft realtime operating system which tolerates when the robot does not match the execution time. RTOS in the system will be applied to the data retrieval of sensors and data processing for decision making. The robot in this study has a four-foot motion tool or can be called a quadruped robot composed of components HC-SR04, Arduino Mega 2560, OpenCM9.04 and OpenCM485 and servo AX-12. From the results of the study, robots have pretty good precision in moving when applying Real Time Operating System.
Implementasi Sistem Otomatisasi Pintu Dengan Face Recognition Menggunakan Metode Haar-Cascade Dan Local Binary Pattern Pada Raspberry Pi Willy Andika Putra; Rizal Maulana; Fitri Utaminingrum
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

Technological developments in the world are starting towards the IOT (Inthernet Of Things) era. Smarthome is one of IOT Technology whose the impact is felt by many people. Smarthome is an embedded dwelling of many integrated technologies and make almost aspects in the home run automatically. One aspect that needs to be considered in the smarthome is the security aspect, all the smarthome integrated residence should has a very adequate security system. The security system owned by smarthome is mostly implemented on the door, for example implanting a sensor on the door to keep the door locked automatically. However, there will be many obstacles when using sensor technology, one of them is most sensors can not identify someone who is near the door. From the problem will be made an open door automation system on smarthome that can identify someone. The identification technology that will be used in the system is Face Recognition using Haar-Cascade method which will be implemented on single-board circuit that is Raspberry Pi. The system will store the identity of the Smarthome inhabitants in a dataset and will open the door if the data matches with the previously created dataset. Face Recognition will use Library Open CV that is Haarcascade_Frontal_Face and cv2.createLBPHFaceRecognizer . The level of detection accuracy using haarcascade classifier method is 76.25% while for the level of accuracy of introduction used local binary pattern is equal to 65%. To Connect face recognition with open door closing system, the author uses 3 pieces of DC motor. Two DC motors as Door Wheels and 1 DC motor as a key. All process will be done by Self Process on Raspberry.
Implementasi Sistem Monitoring Pada Rumah Jamur Menggunakan Jaringan Nirkabel Berbasis Protokol Komunikasi Message Queuing Telemetry Transport (MQTT) Nugraha Pangestu; Rizal Maulana; Rakhmadhany Primananda
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

Nowadays, mushroom cultivations are growing rapidly in the society. Mushrooms have been becoming the popular groceries because of it's affordable price for all people. In it's growth process, Mushroom will need two main factors in order to grow properly; which are : temperature and humidity of the room. These two factors need to be controlled continuously to fit the ideal value limit. The ideal temperature for mushroom growth ranges between 25-30 â—‹C and the air humidity ranges between 60-90%. To overcome these problems, we proposed a system that can continuosly monitor temperature and humidity of mushroom house using MQTT protocol. To detect temperature and humidity, DHT-22 sensor is used. The sensor data will be processed by Arduino microcontroller and then sent using ESP8266-01 Wi-fi module which connected through the Wi-fi network to the Thingsboard server using MQTT protocol. Finally the data will be displayed in the form of charts and graphs. We evaluate the system using the delay test by calculating the time required by each sensor to process and read the data until the data is sent and displayed on the Thingsboard server. The results of delay test have confirmed that the system takes an average of 1.20 seconds in a single delivery of data to the Thingsboard server.
Monitoring Dan Implementasi Sistem Otomasi Real Time Kualitas Air Tambak Menggunakan Web M. Sifa'un Ni'am; Sabriansyah Rizqika Akbar; Rizal Maulana
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

Ponds farmers experience anxiety because of the frequent occurrence of poor water quality. With the current conditions, the fish farmers are very difficult to get good quality clean water. Changing weather conditions can exacerbate pond water quality, conditions like this can also make fish farmers unsettled, because current pond farmers depend on weather conditions and environmental conditions directly. Based on these problems, research is used to at least control the quality of water by using 2 sensors, namely the LDR sensor to determine the value of turbidity in the water, and the DS18B20 temperature sensor to determine the pond water temperature. Using the Arduino Uno microcontoler and ESP8266 module to transmit data from the two sensors readings to the Thingsboard web server. Readings from two sensors will appear on Thingsboard in the form of charts and graphics. From the results of this monitoring system test shows the results that the system will provide the results of the sensor readings, the LDR sensor gives results if the clear water gives a value smaller than turbid water, and the temperature sensor gives an average temperature value of the sensor of 35, 55 ° C and the average temperature value of the thermometer reading is 35.44 ° C, and the average of the error value is 0.46%. The delay results from the ESP8266 test give the average delay time of 1.7s.
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