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All Journal International Journal of Electrical and Computer Engineering International Journal of Reconfigurable and Embedded Systems (IJRES) ComEngApp : Computer Engineering and Applications Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Dahnial Syauqy
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Pengembangan Sistem Tracking Lokasi Low Power Sleep Pada Wearable Device Rioadam Sayyid Abidin; Dahnial Syauqy; Rizal Maulana
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

Currently, criminal rate in the world is increasing because the difficulty of getting work. One of the highest criminal case which we often heard is the case of people abduction or the case of missing people. To reduce this problem, I created a low power location tracking in wearable device for people, location tracking system is designed as small as possible so this device could be carried by the person while they're going. This system used U-Blox Neo 6M, SIM 800L, Arduino NANO, and a power bank. U-Blox Neo 6M used for the location tracking with GPS network, SIM 800L used to deliver coordinates to the tracker via SMS with GPRS network, Arduino Nano used to configure input process and output process from the system, and power bank as the primary resource which the system used. This system is filled with sleep power mode feature that became the method for the system manufacture which functioned to save the usage of the power when the system is working. Tracker could know the position of the user by writing down a predetermined keyword via SMS to the number that used by system. With this sleep power method expected to be capable of having a longer power usage and capable of reducing the case of missing people.
Pengembangan Sistem Prediksi Hama Wereng Berdasarkan Data Cuaca Sensor Dan Cuaca Online Menggunakan Metode Naive Bayes Rudy Agus Santoso; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
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

Rice (Oryza sativa L) is an important commodity in agriculture because the needs for rice as the primary food of the Indonesian people. Brown planthopper (Nilaparvata lugens) is one of the obstacles that causes rice plants dry so that impact on the decreasing yields. This research will be developing a system to predict pests of planthopper based on parameters of temperature, humidity and rainfall using Naive Bayes method. Temperature and humidity features using test data that obtained from the DHT11 sensor while rainfall data was obtained online from an online weather site provider via ESP8266 module. The Data training of pest and weather conditions are obtained from institutions associated with Brown Grasshopper attack, and weather data information. The test data and training data will be processed by Arduino Uno Microcontroller to predict the presence of Brown Grasshopper using Naive Bayes method. In the test data taken by DHT11 sensor, the temperature and humidity feature readings have a good accuracy value with an error value of 2.14% for temperature and 1.71% on humidity. In testing of rainfall data readings, there is difference of value between weather site and BMKG with error value equal to 22,51%. To test the accuracy of Naive Bayes classification, obtained an accuracy of 83.33% with 6 test data from 17 data train. In testing the accuracy with the test data from the sensor obtained an accuracy of 85.71% with 19 training data and 21 times the data collection test.
Sistem Kendali Sudut Pitch Projector Headlamp Sepeda Motor Berbasis Closed Loop System Cipto Bagus Jati Kusumo; 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

The main lights of the motorcycle illumination in the country of Indonesia generally use Halogen gas which results from less illumination for the minimal road PJU (Street Lighting), with the creativity of the vehicle users then the source of lighting replaced with sources that produce more light. Like the example of lights that use Xenon gas or commonly known as High Intensity Dishcharge Xenon, but with the replacement of this, new problem emerging, light emitting wildly dazzling other road users. The use of the Headlamp Projector is the only one to avoid the dazzling glare of the wild light by focusing only on the road, the beam of focusing light must be set to road so that the focus does not lead to other road users. Therefore, this system is built to facilitate the driver in setting the focus of the light beam.The system works with the help of IMU MPU6050 sensor and all 6 axis, actuator mechanism on the motorcycle headlamp and Closed Loop System controlling methode. The current angle value read by the sensor is then set aside with the value of the set points that have been in the previous calculation, the result of the difference is then made reference by the system to control the actuator that will affect the pitch angle of the headlamp. The success rate of this system is 98.154% of the six attempts to adjust the altitude of light beam with different passenger loads on the same motorcycle.
Implementasi Low Power Mode Pada Sistem Keamanan Ignition Coil Breaker Sepeda Motor dengan Pengenalan Sidik Jari Belsazar Elgiborado Giovani Djoedir; Dahnial Syauqy; Hurriyatul Fitriyah
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 development of science and technology is increasing and generate many advantages. In the other hand, criminal offense also increasing such as motorcycyle theft where the criminal subject take action by using the T key and chemical liquids. As the result based on this problem, the idea to make biometric security for motorcycle using fingerprint sensor by applying low power appeared. This security system is constructed using the R305 fingerprint sensor as the input to detect the user's fingerprint and register the fingerprint's user to its memory, arduino nano v3.0 as the microcontroller to process data from the fingerprint sensor and relay module as a switch that connected to the ignition coil system on the motorcycle. This system is also supported with wake and sleep feature with external interrupt in the form of push button to trigger wake condition from sleep. From the test a fingerprint sensor successfully perform enroll and authentication. From the test also obtained a decrease in current consumption used by system and reach 32.95%, when the relay module is active and 51.92% when relay module is inactive. In addition, the test results show that the system takes an average time of 134.2 milliseconds for wake from sleep condition.`
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%.
Rancang Bangun Sistem Multi-Sensor Untuk Pengukuran Jarak Secara Simultan Idang Wahyuddin Septiawan; Sabriansyah Rizqika Akbar; 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

A multi-sensor system that runs simultaneously is a factor to be considered when building a multi-sensor system. In order for the system to run simultaneously required a system with a fast response. By applying multitasking then the system can execute more than one program simultaneously. RTOS (Real Time Operating System) is one method for multitasking application on embedded system. To implement RTOS into Arduino requires FreeRTOS library. Arduino Mega 2560 Microcontroller and HC-SR04 sensor module as much 8. Communication interface on this system using Parallel Bus Interface (PBI) to support performance in multisensor system running simultaneously. In the application of RTOS this system will be divided into 8 tasks. Each task will process each of the HC-SR04 sensor modules. From the results of performance testing HC-SR04 sensor module gain percentage error of 0% of all sensors. For testing the execution time stability of each task is 1ms on each task in 10 experiments. From the test results, the system that runs the RTOS running from the beginning of the program to the end requires a total time of 8.1332ms average while on systems that do not implement RTOS requires a total time average of 264ms. Each task has an execution time ranging from 1.005 to 1.583ms.
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.
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 Metode Simple Maze Wall Follower Dengan Menggunakan Free RTOS Pada Robot Maze Agung Widya Gumelar; Dahnial Syauqy; Sabriansyah Rizqika Akbar
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 type of robot that can facilitate human activities in finding the destination in the labyrinth is Maze Wall Follower Robot, that robot can also be included in contest robot in category robot firefighter. Maze Wall Follower Robot use Simple Maze method, which follows the left wall as the main reference and the dark line as the finish point. Implementation Free RTOS is made for multitasking in measuring distances between robots and walls using ultrasonic sensors and photodiodes. Each sensor is used as system inputs made tasks that have priority 1 and L298N module Driver Motor dual H-Bridge which is used as system output made task 1. Result of measurement of wall distance measurement using ultrasonic sensor HC-SR04 which tested 7 times with different distance has 0% error, and line reading at the bottom of the maze is tested 6 times with different colors using photodiode sensor module which has 0% error. Average time result to complete goal with distance between start and finish point 959 cm and pass 23 turns and 2 dead end by Maze Wall Follower Robot which does not use Free RTOS is 75,62429 second and use Free RTOS is 68,36143 second with 7 times testing. Then the robot with Free RTOS faster 7.262857 seconds from robot without Free RTOS.
Implementasi Metode Naive Bayes pada Sistem Stop Kontak untuk Klasifikasi Perangkat Elektronik dalam Kamar Shelsa Faiqotul Himmah; Dahnial Syauqy; 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

An electric socket is a tool that becomes one of the basic needs of each individual. Serves as in-between of power source with an electronic socket device has not changed in terms of function or appearance. Along with the development of electronic devices or so-called smart devices, electric socket is does not get special attention in the development of functions. Therefore we made a breakthrough on the function of the electric socket to make a classification on electronic devices embedded in the electric socket. Because of the many types of electronic devices available then the use of electronic devices is limited only to electronic devices in the room that is; hairdryer, phone charger, laptop charger, iron, and fan. The process of making a classification system using current sensor YHDC SCT-013-020 as a current reader. Then the current value will be processed by NodeMCU v1.0 and naive bayes as the method used to classify. Classification data will be stored on cloud storage that can be accessed through android smartphone. The experiment was done by making 3 combinations of 5 electronic devices so there are 10 combinations. Based on the test obtained percentage of 83.33% of the system can classify the device that is in use and requires an average time for 206340.6 ms to perform data acquisition and average time for 6.3 ms to do classification.
Co-Authors A. Ashar Ashari A. Baihaqi Mubarok Abdul Aziz, Muhammad Rafi Abdul Rahman Halim Abdussalam, Ghifarie Sa'id Achmad Basuki Achmad Fanani Kurniawan Saputra Achmad Rizal Zakaria Addin Miftachul Firdaus Adharul Muttaqin Adhisuwignjo, Supriatna Adhitya Bhawiyuga, Adhitya Adi Setiyawan Adinugroho, Sigit Adit Ilmawan Adryan Chiko Pratama Afdy Clinton Afflatuslloh Adi Salung Agastya Bramanta Sanjaya Aghnadiin, Radifan Muhammad Agi Putra Kharisma Agra Firmansyah Agung Bachtiar Sukmaarta Agung Leona Suparlin Agung Prasetyo Agung Setia Budi Agung Setia Budi, Agung Setia Agung Widya Gumelar Agung Wismawan Rochmatullah Ahmad Mustafidul Ibad Ahmad Rizqi Pratama Ahmad Wildan Ahmad Yazid Bastomi AJI, IBRAHIM Akbar, Muhammad Daffa Pradipta Akbar, Muhammad Faithur Adel Patria Alfian Reza Pahlevi Alrynto Alrynto Althaf Banafsaj Yudhistira Andhika Nino Pratama Anggi Diatma Styandi Angsar, Mohamad Rinaldi Anisa Awalia Rizky Anjasmoro, Reza Ardiansyah Ardiansyah Arief Kurniawan Arief Wahyu Wicaksono Aulady, Fadhli Aulia Zhafran Barlian Henryranu Prasetio Bayu Rahayudi Bayu Santoso Belsazar Elgiborado Giovani Djoedir Billy Gusparentaqi Bima Muridianto, Muhammad Bimo Dimas Nugraraga Buce Trias Hanggara Bukhori Darmawan Bunga Boru Hasian Siahaan Cahyanita Qolby Rahmarta Rizaputri Cipto Bagus Jati Kusumo Constantius Leonardo Pratama Dading Firwandhi Sukma Daffa, Ali Zhafran Dedi Siswanto Defri Alif Raihan Denis Reza Ramdani Devo Harwan Pradiansyah Dimas Rizqi Firmansyah Dini Eka Ristanti Dini Ismawati Duwi Hariyanto Dwi Arini, Talitha Dwi Firmansyah Dwiki Ilham Bagaskara Dyas Restu Palupi Edita Edita Rosana Widasari Edita Rosana Widasari, Edita Rosana Eka Nanda Sugianto Eko Ardiansyah Eko Hilmi Firmansyah Eko Setiawan Eko Setiawan Elisabeth Agustina Era Imanningtyas Ezra Maherian Fachry Ananta Fahmi Gymnastiar Gozali, Muhammad Faizal Ardiansyah FAQIH, ABDULLAH Farras Nabil Fatur Rahman, Mohammad Fauzi Ali Farhi Fauzi Rivani Fikri Fauzan Firdy Yantama Firmanda, Dwi Ady Firza Zamzani, Muhammad Fitriyah, Hurriyatul Fungki Pandu Fantara Ganda Wibawa Putra Gembong Edhi Setyawan Ghazy Timor Prihanda Govinda Dwi Kurnia Sandi Graciella Fiona Br. Panjaitan Grafidi, Alif Akbar Gunawan Wahyu Andreanto Hafidz Abdillah Masruri Hafiz Nul Hakim Hamdan Bagus Firmansyah Hamzah Attamimi Hanggara, Buce Trias Hannats Hanafi Ichsan Haqiqi, Farih Akmal Harahap, Syazwandy Hazal Kurniawan Putra Hazbiy Shaffan, Nur Henryranu Prasetio, Barlian Herenda Madi, Matius Herwin Yurianda Hurriyatul Fitriyah Hurriyatul Fitriyah Hurriyatul Fitriyah, Hurriyatul Idang Wahyuddin Septiawan Ihsanurrahim Ihsanurrahim Ikhwan Zulfy Imam Cholissodin Irfan Pratomo Putra Irvan Ramadan Issa Arwani Ivan Kasogi Izaaz Waskito Widyarto Izza Febria Nurhayati Jeffry Atur Firdaus Jevandika Jezriel Lukas Lumbantobing Johannes Archika Waysaka Khairul Anwar Khairul Anwar Kresna Wiska Kafila Kurnia, Yudisthira Dwi Kurniawan, Rizaldy Ariobimo Kurwniawan, Wijaya La Ode Muh. Fadlun Akbar Lase, Nicolash Jeremy Onoma Latief Nurrohman Alfansuri Lavanna Indanus Ramadhan Lb Novendita Ariadana Lutfi Anang Makruf M Nuzulul Marofi M. Adib Fauzi Rahmana M. Ali Fauzi Mahendra, I Gusti Putu Krisna Suaba Malik, Hifdzul Megananda, Muhammad Rifqi Mela Tri Audina Merry Hassani, Fadila Muqtadaro Mhd. Idham Khalif Moch. Alfian Zainullah Moch. Alvin Yasyfa Salsabil Mochamad Iswandaru Mochammad Hannats Hanafi Mochammad Hannats Hanafi Ichsan Moh. Saifud Daulah Moh. Zainur Rodhi Mohammad Ali Muhsin Mohammad Faizal Ajizi Muchamad Rafi Dharmawan Muchammad Cholilulloh Muh. Syifau Mubarok Muhajir Ikhsanushabri Muhammad Alif Alfajra, Andi Muhammad Aminul Akbar Muhammad Daffa Bintang Nugroho Muhammad Eraz Zarkasih Muhammad Fadhil Sadeli Muhammad Fajaruddin Akbar Muhammad Habib Jufah Alhamdani Muhammad Hanif Haikal Muhammad Hannats Hanafi Ichsan Muhammad Irvine Fidellio Maiza Muhammad Jibriel Bachtiar Muhammad Kholash Fadhilah Muhammad Naufal Muhammad Nazrenda Ramadhan Muhammad Rizqi Zamzami Muhammad Wingga Woggiasworo Muhammad Yusuf Ramadan Mukhamad Angga Setiawan Mukhamad Roni Mukmin Mukmin Munif Cleveriandy, Ahmad Musharrif, Mohammad Faiz Mustajib Furqon Haqiqi Mutiara Pramesti Utami Muzayyin, Asep Nabila Eka Putri, Alisya Nadhifa, Nadaa Nanda Epriliana Asmara Putri Navayo, Bagja Nicho Ferdiansyah Kusna Nikmatus Soleha Niko Aji Nugroho Noveriko Noveriko Nur Aini Afifah Isbindra Nur Fuady, Muhammad Sholahuddin Nurul Ikhsan Nyoman Wira Prasetya Oggy Setiawan Parja, Mujianto Anda Perkasa, Septiyo Budi Prakoso, Aldo Hani Pramandha Saputra Prasetya, Nyoman Wira Prasetyo, Budi Eko Prasojo, Satya Haryo Pricillia, Lidya Ruth Purnomo, Welly Putra Pandu Adikara Putra Pandu Adikara Putra, Brylliano Maza Raga Jiwanda Raharja, Kahfi May Rahayu, Vina Trisnawati Rahman, Edy Raka Bagas Perdana Rakhamadhany Primananda Rakhmadhany Primananda Rakhmadhany Primananda, Rakhmadhany Randy Cahya Wihandika Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Renal Prahardis Reza Budi Pratikto Rezak Andri Purnomo Rifqi Anshari Ringga Aulia Primahayu Rint Zata Amani Rioadam Sayyid Abidin Riza Irfan, Muhammad Rizal Maulana Rizal Maulana, Rizal Rizal Setya Perdana Rizka Ayudya Pratiwi Rizky Putra Wijaya Rizqi Muh. Muqoffi Ashshidiqi Ronilaya, Ferdian Rudy Agus Santoso Sabrian Rizqika Akbar Sabriansyah Rizkiqa Akbar Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar Safirurrasul Santoso, Mush'ab Safrudin Bendang, Dehleezto Lawanangkara Salman Farizy Nur Samuel Lamhot Ladd Palmer Simarmata Santoso, Bayu Saputro, Mauna Mohammad Wahyu Sari, Sylvia Sentosa, Azy Dwi Putra Septino, Fernando Setiawan , Eko Shaffan, Nur Hazbiy Shelsa Faiqotul Himmah Sigi Syah Wibowo Siradjuddin, Indrazno Sulaiman, Ihsan Susilo, Faizal Andy Sutikno Sutikno Syarief Taufik Hidayatullah Syauqi, Mohd Alfitra Syazwana, Selvia Tibyani Tibyani Tio Haryanto Adi Putra Toar, Mikhael Ryan Tobias Sion Julian Utaminingrum, Fitri Utomo, Satria Wahyudi Vira Muda Tantriburhan Mubarak Virza Audy Ervanda Wahyu Adi Prayitno Welly Purnomo Widasari, Edita Rosana Widhy Hayuhardhika Nugraha Putra Wijaya Kurniawan Wijaya Kurniawan Wijaya Kurniawan Wijaya, Jason Wildo Satrio Wirafadil Nugraha Wisik Dewa Maulana Wisnu Mahendra Xavierro Lawrenza Yanottama Oktabrian Yudhistira, Gevan Putra Yuita Arum Sari Yunan Alamsyah Nasution Yunus, Ahmad Haykal Yurliansyah Hirma Fajar Yusriansyah Shohibul Hamzah Zahra, Inez Bedwina Zakaria, Akhmad Nizar