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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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Implementasi Sistem Pendeteksi Premature Ventricular Contraction (PVC) Aritmia Menggunakan Metode K-NN Sulthan Ghiffari Awdihansyah; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The condition when the heart beats early is called the Premature Ventricular Contraction (PVC) Arrhythmia. Arrhythmia PVC conditions occur in the left ventricle of the heart. Almost every human will experience PVC arrhythmia during his lifetime. Arrhythmia PVC conditions that occur in a long time span can increase the risk of heart disease that leads to death. Examination of arrhythmia PVC conditions cannot be done independently and is quite expensive. AD8232 ECG Sensor Module, LCD 16x2, and Arduino Mega Microcontroller are used to detect PVC arrhythmia conditions. The K-NN classification method is used to classify 1 heartbeat cycle signal. The results of the K-NN classification are in 2 classes, namely the "Normal" class and the "PVC" class. The QRS Complex and Gradient R values of 1 heartbeat cycle signal will be used as parameters. heart conditions "Normal", "Bigeminy", "Trigeminy" are the output produced by the system. A total of 46 data were used as training data and as many as 23 data were used as test data in the classification of the K-NN method. The average value of program computation time is obtained by performing 10 times of program computation time testing. An accuracy value of 91.3% was generated from the results of the K-NN method classification accuracy testing. Testing the computational time of the program produces an average value of computing time of 1988.9ms.
Sistem Monitoring Lingkungan Rumah Cerdas berbasis Fog Computing dan nRF24l01 Dwiki Nuridhuha; Mochammad Hannats Hanafi Ichsan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Smart home technology is important to implement, but many smart devices can influence data exchanges between nodes, impacting communication performance between nodes or to the Internet on smart home devices. Therefore, the application of fog computing to handle Internet access constraints. While nRF24l01 can be applied to handle data exchange between nodes. The research consists of two sensor nodes, one sink/gateway node, and one fog node. The diffuser focuses on the performance measurements of nRF24l01 in the Fog computing environment, the parameters measured in the form of delay, throughput, packet loss and RTT (round trip-time) and time variation of delivery to the cloud. In this study the way of decomposition of performance is done by placing each node with each of the distance of multiples of 4 meters in the environmental conditions there is a barrier, and there is a barrier. From the test that has been done in the results can be the farthest delivery distance for the barrier is 28 meters, while without an obstacle of 44 meters. For delay performance, throughput, RTT (round trip-time) either without or there is a barrier and at any distance the performance value is not affected, but the performance of the packet loss more obstructions and away the data transmission will also increase the value of the packet loss. For variations of time to transfer data to the cloud either without or there is a barrier and at any distance do not undergo many changes.
Implementasi Inverse Kinematics Pada Robot Lengan Untuk Pengambilan Benda Dengan Koordinat Awal Acak Ricky Zefani Aria Zurendra; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The increasing of enthusiasts in e-commerce activities have increased the flow of incoming and outgoing goods in storage areas. The storage activity certainly requires a considerable amount of time and energy so a system is needed to retrieve and place items automatically. This system is equipped with a Raspberry Pi Rev1.3 camera as a room camera that is capable of taking object pictures underneath. The camera integrates with the Raspberry Pi 3 as a processing unit so the types and initial coordinates of objects can be recognized by the system. Both of the object's information will be sent to the OpenCM 9.04 microcontroller as a parameter to place the object into the specified location. Objects displacement was carried out using a 3 DoF robot arm composed by five Dynamixel AX-12A servo motors, three servo motors as determinants of system motion and the remaining two were used to grip objects. The movement of the 3 DoF robot arm is based on the calculation of objects coordinate by using inverse kinematics method to produce angular values for the three servo motors. The testing results of the inverse kinematics method on this system's robot arm movement has an error percentage of 10.10%. As for overall testing, out of 40 tests, this system has a 95% success rate with an average computation time of 8.446 seconds.
Purwarupa Perahu untuk Monitoring dan Klasifikasi Kualitas Air Bendungan dengan Metode K-Nearest Neighbor (KNN) Chikam Muhammad; Rizal Maulana; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Water quality monitoring activities that most people do nowadays still using manual method and less effective. Rivers, dams, and reservoirs are objects that typically used for water quality monitoring activities. For dam monitoring activities, related parties need to manually monitor water quality at dams water inlet, midpoint and water outlet. because of this, a tool created for automatic water quality monitoring. A tool with five parameters, consisting of water depth sensor,turbidity sensor, water temperatur sensor, water pH sensor, and sensor TDS. The tool was created that can move to monitoring water. This research uses two microcontrollers for procesing purposes. Arduino nano for data acquisition while node MCU for k-NN classification method and sending five sensors data with the classification result to firebase. So it can displayed to user applications. The results of classification are three classes. Classes of “Good”, “Medium”, “Bad”. Amount of data used are 75 data, divided into 50 data for training data and then 25 data for test data. The result of k-NN classification test was 92% in accuracy with K = 5. And the computation time test was caried out ten times and the result system of 4135 ms.
Implementasi Alat Bantu Komunikasi Menggunakan Pergerakan Bola Mata berbasis Electrooculography dengan Metode Derivative Function Hafiz Nul Hakim; Rizal Maulana; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 3 (2020): Maret 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease that causes humans to not be able to move parts of their body and can even cause conditions of speech difficulties. The cause of this disease is genetic and environmental factors. In the early stages, ALS sufferers's muscle will weaken in one of the legs or hands. Muscle weakness slowly spreads such as the neck muscles, back muscles, muscles needed to talk, breathe, swallow food and other muscles that will progressively suffer from paralysis. But the bladder muscles, eye and sphinfer muscles are declared free of this disease (Palmowski, et al., 1995). Electrodes, signal conditioning circuits, arduino uno microcontrollers with bluetooth module, and smartphones can detect eye movements and implement them to sufferers to be able to communicate with people around them.The signal conditioning circuit includes the instrumentation amplifier circuit and the low pass filter. Eye movements can be classified into five movement there are front, right, left, top and bottom. From eye movements, it can be used as a command to communicate the needs of sufferers with those around them via a smartphone, so bluetooth communication is needed to send data in microcontroller to the smartphone. The system has been tested 10 times and has an accuracy of 80%.
Implementasi Monitoring Kualitas Udara Taman di Kota Malang menggunakan Low Power Mode pada Android berbasis Arduino Uno Ananda Ribelta; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Definition polution defilement related to the environment that is lived by humans. This defilement may caused by many factor examples are from gas emission in public transport and forest fire that is near with citizen lives. Solution is necessary to informed about ISPU anytime to people directly through their android smartphone. Time become important indicator in monitoring system, that monitoring system are activated and deactivated based time who ruled by government. In monitoring there is color which is strong indicator about environment around. Using low power mode to aimed a lower consume of electricity on the system then utilized the work principle of system which are in sleep condition and wake condition. Based test which has been done the coefficient of determination from read value MQ 131 sensor is 99,1% rated output voltage, MQ 136 in the amount of 98,5% rated output voltage and GP2Y1010AU0F sensor output voltage accuracy of 98%. Then for MQ 7 sensor average error of 18,55%. Furthermore there is system performance tests when power down sleep for 10 times and then testing on average to get 7,5% lower consumed energy by the system. Calculation from PPM value in to ISPU value had an accuracy 100%
Sistem Pendeteksi Kondisi Paru-Paru berdasarkan Suhu Tubuh, Warna Kuku, Tingkat Respirasi dan Kadar Oksigen Dalam Darah dengan Metode K-Nearest Neighbor Alfatehan Arsya Baharin; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Untuk dipublikasikan di 3rd International Conference and Workshop on Telecommunication, Computing, Electrical, Electronics and Control (ICW-TELKOMNIKA 2020)
Rancang Bangun Sistem Monitoring dan Klasifikasi Lingkungan Hidup Larva Lalat Tentara Hitam (Hermetia Illucens) dengan Metode K-Nearest Neighbor (K-NN) Amri Yahya; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The process of biodegradation is the activity of using a microorganism to carry out the process of handling waste quickly. Microorganisms that can handle waste efficiently are black larvae. Environmental quality of larvae supports the process of biodiversity. The environmental quality monitoring system uses several sensors and a microcontroller which is packaged in the form of a monitoring and classification system. Classification of the k-NN method produces three classes namely "Optimal", "Medium", and "Bad" with input of some environmental quality of larvae. Internet of Things (IoT) is used to send monitoring and classification system data results to an Android application. The results of the k-NN classification test showed 91.3%. Computational time testing gets time with an average of 4275ms on a system. Testing the sending of data from the system to Firebase and Firebase to the Android application results that 100% of data is sent according to the monitoring and classification system data.
Kontrol Robot Manipulator Berdasarkan Pergerakan Lengan Manusia Menggunakan Electromyography Hanifa Nur Halimah; Rizal Maulana; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the rapidly growing medical innovations is the surgical robot. Robotic technology will help doctors during a surgical procedure. The advantages of robotic surgery include faster recovery, minimal scarring, and smaller incisions, resulting in a reduced risk of infection. A surgical robot, in this case, is made in the form of a manipulator robot. The manipulator robot matches the doctor's movement by reading the electromyography (EMG) signal produced by muscle contraction through the electrodes. Myoware sensor detects EMG signals of arm muscles. Myoware output signal read by Arduino Nano so that the manipulator robot moves. Robot manipulator was designed to have 4 Degree of Freedom and implemented using servo dynamixel AX-12A. The EMG signal will be filtered exponentially so that the signal is smoother. The signals that have been processed will be analyzed the amplitude to determine the type of arm movement performed. The angles detected are 00, 450, 900, 1350 and 1450. Each angle has upper limit 0.89V; 1.59V; 2.29V; 3.49V; and 5V; lower limit 0V; 0.89V; 1.59V; 2.29V; and 3,49V. the system has an accuracy of 84% in determining the type of arm movement which had taken from 5 attempts each angle by 3 subjects.
Perancangan Dan Implementasi Sistem Pola Berjalan Pada Robot Hexapod Menggunakan Metode Inverse Kinematic Abdullah Asy Syakur; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are many types of robot as a helper device, such as legged robot. This legged robot has the ability to crawl and walk even on a terrain which can't be reach by other vehicle. There are many contest of firefighter robot for legged robot. Six legged robot (hexapod) is the most often to use in robot competition because of it's walk stability is better than any other legged robot. This research using hexapod which each leg has 3 DOF of servo. The walking gait of hexapod are calculated using inverse kinematic to generate the motion angle of servo on each DOF. Each DOF on this hexapod are build from Dynamixel AX-12 servo, and Arduino as the processor of the inverse kinematic calculation. Input of inverse kinematic based on coordinate of “end-of-effector”. The generated angles are sent to each servo in motion data format, so the end of effector can move to the expected position. There are 4 step in one cycle walk of a leg, the position of each step are calculated with inverse kinematic. The accuracy test shows that the end of effector has 3.51 % of mean error. The accuracy test of straight-walk-accuracy test shows that hexapod has 7.14 % of mean deviation error on average speed 17,27 cm/second. While the side walk test result has 3.76 % of deviation error on speed 14.27 cm/second
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