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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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Sistem Penghitung Jumlah Orang Otomatis Pada Pintu Masuk Berbasis Sensor Ultrasonik dan Mikrokontroler Arduino Uno dengan Metode Bayes Eko Ardiansyah; Hurriyatul Fitriyah; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Count the number of visitors in shopping centers can provide a management information to optimize place , and evaluate attractiveness on some areas shopping .Area manager able to analyze monitor the state of the crowd. From what it is all about built with the sweat of , he or she needs a automatic system used to calculate the total number of people through the trap door .In this research , parameter that used of these tests are the detection of an object which prevailed over you and. This instrument will be means of sensors ultrasonic hc-sr-04 processed use classifications bayes & apos; to count the number of people get past the sensors ultrasonic on the door.On the system that they used mikrokontrolet ardino uno used to menggontrol system and output will be displayed in lcd 16x2. A method of bayes ' was selected as one technique for a decision making classifications counters the number of people through the door at the same time , this method is one of the classification methods that is simple enough and understandable .So that the kind of accuracy that obtained this system by using the method non-competitive purchase will be 80 %. The result of testing time performed as many as 10 times, the obtained from pengamilan rata-rata system decision by 679,2 ms. Bayes In this case using the size of the door wide 200 cm in size and 190 cm high.
Sistem Deteksi Gerakan Kepala sebagai Kontrol Kursor Mouse dengan Metode Complementary Filter Latief Nurrohman Alfansuri; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of technology makes people want to communicate with computers more natural, one way people communicate with computers is to use the mouse as an input device to control the computer, conventional mouse commonly used is less natural, especially for those who have deficiencies in the body (disability). Based on that required a system capable of controlling the mouse cursor based on the natural movement of the human body, this system which later can read the value of the head movement of the user and use as the input value to move the mouse cursor, to read the movement of the head will use MPU6050 and Arduino Nano as microcontroller, data transmissionson this system will be done wirelessly therefore will use nRF24L01 and arduino leonardo modules which will be used to control the mouse cursor. Complementary filter will be used to reduce the error value, Complementary filter will be tested by comparing with system output value without using filter. The error value generated by Complementary filter calculation is less than 2o. From corespodent testing, the system was able to obtain a good category average based on feedback from 30 users.
Implementasi Jaringan IPv6 dan Constrained Application Protocol (CoAP) pada Sistem Monitoring Kualitas Air Muhammad Wingga Woggiasworo; Sabriansyah Rizqika Akbar; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of IoT in smart device network protocols that generally enable internet protocols. IPv6 will be able to communicate with smart devices because the address space is quite large. Limited networks 6LoWPAN has characteristics for unstable networks with low bit-rates, and low costs. Reflecting on the problem of water quality monitoring needs, the implementation of sensor-nodes based on 6LoWPAN and CoAP is expected to be able to overcome these problems. Protocol CoAP is a medium as web messages transfer protocol for limited environments (eg: low-power and unstable networks). Accuracy temperature sensors DS18B20 is 95.9%. The average accuracy of 91.61% for the pH sensor. And the photodiode sensor with a value range of 1% -20% for clear and 80% -100% value range for murky which is used to detect turbidity levels. 6LoWPAN network and CoAP protocol can minimize shipping errors because it provides protocol resources. Average delay and packet loss 6LoWPAN network based on packet size of 56 bytes and 128 bytes is 13.4 ms and 20.1 ms with packet loss rate is 0% and 0% in distance of 5 meters. For the farthest distance of 40 meters, average delay is 30.8 ms and 39.7 ms with packet loss rate is 31%; 57% based on packet size 56 bytes and 128 bytes. Message delivery performance between nodes based on 6LoWPAN and CoAP gets a delivery time of 13.417 seconds for the distance 45 meters and 1.331 seconds for the distance of 5 meters.
Sistem Deteksi Posisi Objek Acak Berbasis Image Processing Pada Platform MyRIO Alrynto Alrynto; Dahnial Syauqy; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Object recognition in this case position of random object is one of the main concern for development of computer science. Object recognition is very useful in another major implementation like maaping, industrial manufacturing, medical, security and many more. For implementation to another major, output of the system need to caliberate for that major. System output on this research are distance and slope value that have been caliberated into international value of length. This research try to develop object recognition using microcontroler by National Instrument MyRIO 1900 as image processor and webcam camera as optical sensor. The camera take object image from above of the object. System using image processing with Geometric Match Pattern method that match object image with template image geometrically and then will take data position and slope of the object. Output from image processing will show in the computer. In the testing will use one type of object in this case using reactangle and placed randomly. The testing will measure the function of the system for read object position, slope and manualization accuracy. Position test have percentage success 99.63% and slope test have percentage success 96.8%. Accuracy test using pixel tolerance and the highest accuracy 100% on 5 pixel tolerance.
Sistem Pembacaan Nada Trumpet dengan Metode Fast Fourier Transform (FFT) Berbasis Embedded System A. Baihaqi Mubarok; Dahnial Syauqy; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Marching bands are an art group that half of the composition is brass players. However, in Indonesia some trumpet players in the marching band did not understand the C D E F A B C tone theory, including the method for tuning tools. In this study a tuning system for trumpet with FFT (fast fourier transform) algorithm was developed. The system developed uses a USB microphone as a sensor, data processing is done with Raspberry Pi 3. FFT processing uses the Numpy library, in which there are several subprocesses, from taking signal samples to windowing. After the window is obtained, the FFT can be calculated, and then the results of the FFT will be converted into a frequency domain and then converted to pronunciation notation (do, re, mi, fa, sol, la, si, do). The output of this process is the frequency and notation displayed on the 16 x 2 LCD. The test results on the sensor can capture various sounds, and the test results on the system can capture chromatic tones between octaves 3 to 4, with an average the difference in frequency is 1.85 Hz. In testing the computation time, the average results were 0.28 seconds.
Implementasi Protokol MQTT (Message Queuing Telemetry Transport) Untuk Monitoring Infus Pasien Secara Terpusat Sutikno Sutikno; Dahnial Syauqy; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Amount of patient and medical officers leads a new problems. One of them is about monitoring patient infusion fluid. Based on the case, a system is needed to monitor the patient's Infusion fluid when it is low, so that the officer is not late in replacing the intravenous fluids to the patient. To help overcome this problem, a system designed to monitor the patient's infusion centrally using MQTT (Message Queuing Telemetry Transport) delivery. The droplet reading is done by using a photodiode sensor by placing the sensor on the infusion chamber. Data processing on sensor node using NodeMCU and on server using PC / Laptop by utilizing websocket. The process of displaying data is done in realtime on the web interface. The test results on the three sensor nodes to detect the droplets yielded varying values ​​of 96%, 96%, and 94.6%. As for the test delay, obtained the average delay that occurs is 454.6 milli seconds.
Sistem Monitoring Kondisi Aliran Pada Gorong-gorong Saluran Air Menggunakan Metode Fuzzy Moch. Alfian Zainullah; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Culverts are a water channel that is very beneficial for the environment in the community. With the culvert the public must be responsible to maintain well in order to avoid things that are not desirable like flooding due to clogged or overflowed. Clogged water channels because the people who often dispose of waste into culverts or other water channels so that plastic waste or organic waste clog water channels due to too much waste. Therefore, a blockage monitoring system was built on three aqueducts with each node using an ultrasonic PING sensor to measure the water level and the water flow G1 / 2 sensor to measure the rate of water velocity on the culvert. Data taken from the sensor will be processed by Arduino Nano microcontroller by using fuzzy method. Because the location of the culvert with a monitoring post is relatively far then the data processing will be sent using wireless NRF24L01, then LED RGB (Light Emitting Diode Red, Green, Blue) as output will produce conditions on the culvert with a red flame is stated danger, green declared alert and blue otherwise safe. in this study fuzzy method has been successfully applied on a system with 100% accuracy with average processing time of delivery is 1236, 1045 and 1133 millisecond.
Rancang Bangun Sistem Pemilah Tomat Berdasarkan Tingkat Kematangan Lb Novendita Ariadana; Dahnial Syauqy; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In human life is heavily dependent on agriculture. To meet the needs of everyday human life then takes the process of planting, harvesting and land sports. For a short time as well as the limitations of power is a challenge that must be faced by the farmers. So did the problems facing tomato farmers who must sort out the tomato based on a different level of maturity - different. Tomato growers should be picking tomatoes first and then sort it based on the level of ripeness. This is done because each level of maturity tomatoes have different uses. Of the matter, the author makes a tomato based parser system level of maturity. Level of maturity is detected using the color tomato. To detect the color of the tomatoes then it needs three sensors on the left side, top, and right system. Tomato fruit is placed in the middle of the system on the box then motor stepper will push it so it just below the sensor. Then the color of tomatoes will be read by a third color sensor. After that the Bayes method will look for opportunities and will classify the tomatoes into three categories. After that the system will drain the tomatoes into the container according to the degree of ripeness by opening and closing the line using a servo motor. This research has as many as 45 data training data and each level has 15 kematangn data. The result of the test there is a 10 x 9 x 1 x and correct errors. From these tests can noted that 90% of system accuracy.
Sistem Pemilah Telur Ayam Kampung dan Ayam Negeri Menggunakan Metode Naive Bayes Hazal Kurniawan Putra; Dahnial Syauqy; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The value demand of chicken eggs in Indonesia is high, in the sector of trading, chicken eggs in Indonesia has dominating the market wich value of 65%, the rest is duck eggs,bird egg and quails eggs. There are two types of eggs, eggs produced by free-range chickens and eggs produced by domestic chickens. The difference between this egg, domestic chicken eggs is heavier than free-range chickens eggs. Because of these parameters, that's will be difficult differentiate between free-range and domestic chicken eggs, and this will take long time and lot of energy. Based of the problem, it is necessary to create a system that can be used to differentiate between free-range chicken eggs and domestic chicken eggs. Using TCS-3200 to measure the level of egg color based on red, green and blue values, and loadcell sensor to measuring egg weight, then it will be classified using the Naive Bayes Method, and status will be printed on LCD, all systems are processed on Arduino. Testing method focused on functionality, accuracy, and system performance. From the functional testing, this system has 100% value, so it can be concluded successful functional testing. For Accuracy testing, the system tested with 40 of training data and test data of 20 data and have accuracy 100%. Testing for performance, the system has an average processing time speed of 754,95 ms.
Implementasi Metode Klasifikasi Support Vector Machine (SVM) Terhadap Pemakaian Minyak Goreng Muhammad Yusuf Ramadan; Dahnial Syauqy; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The use of cooking oil repeatedly and beyond the normal limits (waste cooking oil) can cause variety of dangerous diseases to human health such as heart failure, stroke, coronary heart disease, and others. However, currently the use of recurrent cooking oil is still high. This is shown from the results of research in Semarang City, showing that 75% of respondents people use the same cooking oil for frying as much as 61.2 percent use it twice, 19.6 percent use it three times, and 5.4 percent use it as four time. Based on problems, it is necessary to have an automation system for classifying the frequency of the using cooking oil, so it can be used for the frequency classification of the use of cooking oil that has been used several times (waste cooking oil) accurately. In this study, the parameters used were the color and turbidity level of cooking oil. Determination of cooking oil classification is based on color and turbidity level of cooking oil was obtained from TCS3200 color sensor readings ADC and the resistance of the photodiode sensor by the Arduino uno microcontroller using the Support Vector Machine methods, because this method is one of the classification methods that are still rarely used, easy to understand, more accurate and has high computational speed. From the results of the tests performed, it is known the percentage error reading TCS3200 color sensor is 3.31% and the photodiode sensor can work well. So, if the cooking oil is more turbid, the value of the photodiode sensor is bigger. Furthermore, in testing the system using the Support Vector Machine method with the amount of training data as many as 60 data and test data as many as 13 data, obtained an accuracy of 92.3% with the average computing time for 4384.53 ms.
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