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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Sosiologi USK (Media Pemikiran & Aplikasi) SANGKEP: Jurnal Kajian Sosial Keagamaan Habitus: Jurnal Pendidikan Sosiologi dan Antropologi Equalita: Jurnal Studi Gender dan Anak Journal of Gender and Social Inclusion in Muslim Societies Jurnal Ilmu Sosial dan Ilmu Politik Malikussaleh (JSPM) Hasanuddin Journal of Sociology (HJS). Yinyang: Jurnal Studi Islam Gender dan Anak Jurnal Sosiologi Dialektika Sosial Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik) Jurnal Ilmu Sosial dan Ilmu Politik
Eko Setiawan
Fakultas Ilmu Komputer, Universitas Brawijaya
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Social Sciences Other

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Kendali Antena UAV menggunakan Kontrol PID untuk mendapatkan Gain Maksimum Okky Nizka Pratama; Eko Setiawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Antenna tracker is a mechanism used to control the direction of the antenna, the system controls the horizontal servo to the right and left, while the vertical servo is up and down. The author made a tracker antenna so that it can follow a UAV that is equipped with PID control to reduce servo movement errors. In general, the system consists of UAVs for sending GPS data, GCS as data receivers, horizontal and vertical servo. PID control testing is carried out to determine the type of controller that is good for the system, disturbance testing to determine the steady state of the system, accuracy testing to determine errors in servo movement, and signal testing to determine the obtained rssi. In the PID control test, it was found that the proportional controller has the best performance with a value of 2 on the horizontal servo and 6.5 on the vertical servo. In the disturbance test, the settling time for the horizontal servo was 0.72 seconds and the vertical servo was 0.8 seconds when the disturbance was given. In the accuracy test, the average horizontal servo accuracy was 89.98% with an average error of 5.33 degrees. Meanwhile, the vertical servo obtained an average accuracy of 96.54% with an average error of 1.34. In the signal strength test, it was found that the rssi when using an antenna is better than without an antenna. At a distance of ± 20 meters, the rsssi is -35 dbm when using an antenna and -58 dbm when not using an antenna.
Simulasi Kendali Altitude Quadcopter Parrot Mambo menggunakan Linearisasi Fungsi Alih dan PID Tan Varian Kashira; Eko Setiawan; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Unmanned Aerial Vehicle is one type of drone that has developed rapidly. UAV has a lot of potential that can be explored, both for personal needs such as a toys to professional needs such as military aid. As electronics and computer science develop, in-depth research on quadcopters is carried out. One of the studies that continues being developed is control system. Quadcopters needs control system in order to maneuver according to the purpose. The control system in a quadcopter includes many things, such as attitude and altitude control systems. This research is a simulation of the Parrot Mambo altitude control system using linearized transfer function and PID (Proportional Integral Derivative) by simplifying the Parrot Mambo block model in order to apply the PID tuning results into the Parrot Mambo nonlinear system. According to the results of the simulation, the application of the transfer function and PID in 5 levels of height test reduced overshoot to 0%, increased rise time to 4.216 seconds, and increased settling time to 3,468 seconds. Testing with 5 different masses with transfer and PID functions, was able to reduce overshoot to 0%, increase in rise time by 4.001 seconds, and increase in settling time by 4.216 seconds. In testing the response of the original blocks and simplified blocks, the results were identical results and did not affect the basic function of the system itself. This can be seen in the difference from the overshoot response which is 0.01%, the settling time is 0.1 seconds, and the rise time is 0.005 seconds.
Sistem Klasifikasi Rasa Buah Jeruk Menggunakan Metode Naive Bayes Dengan Arduino Nano Vedric Amos Sinaga; Eko Setiawan; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Orange are very popular and consumed by most Indonesians. Oranges are the fruit with the second largest productivity in Indonesia. North Sumatra province is one of the areas with the highest number of citrus harvests. Buyers of oranges in North Sumatra generally taste oranges before buying because taste is the most important attribute according to consumer perceptions. After tasting the rsa citrus fruit and the taste is sweet, the buyer will immediately buy the orange juice. During the wrapping process, sometimes the seller will mix fruit with lower quality and unsweetened taste. So from these problems this research focuses on making a system that can classify the taste of citrus fruit. The classification process is carried out using the naive Bayes method. The classification process requires training data with three parameters, namely color, weight and diameter. Color data obtained with the TCS230 sensor, weight data using the load cell sensor and diameter data using the ultrasonic sensor. After the data is obtained, the classification process will be carried out. After the classification process is complete, the hasl will be displayed on the LCD. The naive Bayes classification was tested with 15 test data and produced an accuracy of 80%.
Sistem Pendeteksi Atrial Fibrilasi Berdasarkan Fitur Mean, Median, Standar Deviasi, Min, dan Maks Interval RR menggunakan Metode K-NN Hani Firdhausyah; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

91% of sudden deaths in Indonesia are due to Arrhythmias. Atrial Fibrillation is one type of arrhythmia that occurs most often among other types. Atrial fibrillation is characterized by an irregular heartbeat due to abnormal electrical activity. Blood collects in the atria and is not supplied to the ventricles sufficiently. So that the heart fails to pump enough blood to the lungs. For the examination, it is quite expensive, especially in the hospital. Therefore a system was developed to be able to detect AF without injuring the body. The system consists of several functions, namely the ECG signal generator using the AD8232 sensor, data processing using the Arduino Nano board, and displaying the classification or diagnosis results of the class "AF" or "Normal" using an LCD. In the classification process, statistical features in the form of Mean, Median, Standard Deviation, Min and Max are used as test data from the K-Nearest Neighbor Method. This method is used because it does not require a training process. Each test was carried out as much as 20 times. The test results are in the form of 96.83% for the sensor accuracy level. Accuracy of 95%, 90%, and 85% for the accuracy of K-NN classification based on k = 3, 5, and 7 so that the best accuracy is achieved with k = 3.In addition, there is also a relatively short computation time of 16.44 ms so that users it does not take long to find out the results of the classification or the results of the diagnosis.
Sistem Pendeteksi Premature Ventricular Contraction Berdasarkan Fitur Geometri Segitiga Dan Amplitudo R Menggunakan Metode Jaringan Syaraf Tiruan Tedy Kurniawan; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The heart is the center of the circulatory system for humans. In the heart, there are diseases or conditions that cause abnormal heart rhythms known as arrhythmias. Premature Ventricular Contraction (PVC) is an example of an arrhythmia that occurs when the ventricles have an unnaturally additional heart rate. If PVC occurs regularly, it can cause several other diseases including heart failure, coronary heart disease, and others, so it is necessary to check the health condition of the heart, namely by using an Electrocardiogram (ECG). In addition, the price of ECG medical equipment which is quite expensive and difficult to reach for some people is also the basis of this research. The author will use the triangular geometry feature and calculate the amplitude R value. The classification method applied is Artificial Neural Network (ANN) using the backpropagation algorithm. The test results of the ECG AD8232 sensor acquisition get an error value of 4.47% with 10 tests. This test compares the Beat Per Minute (BPM) value on the AD8232 and BPM sensors in real conditions. The results of the accuracy using the JST 3 hidden layer classification get 90% of the 20 test data used. For testing the computation time the system gets an average value of 235.5 milliseconds from the 20 tested data.
Rancang Bangun Sistem Pemantau Suhu dan Kelembaban Pada Gudang Penyimpanan PR. Alfi Putra Trenggalek dengan LoRa, Metode CSMA/CA, dan Aplikasi Telegram Adji Kuncoro Bhangun; Mochammad Hannats Hanafi Ichsan; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The tobacco industry is one of many industries that has a big influence on the economy. In the tobacco storage process, it is necessary to pay attention on temperature and humidity conditions at the tobacco warehouse. But the monitoring process of these conditions are still manual, and this prove to be difficult to do if the factory staffs are outside the industrial zone. Therefore, the temperature and humidity monitoring system with WSN (Wireless Sensor Network) technology become a solution to these problems. System is comprised of 3 (three) slave nodes which perform sensing of temperature and humidity, and 1 (one) master node that collects and processes data received from each node, and sends data to users via Telegram app. From the test results, system is capable to sense with the error on temperature and humidity sensing on node 1 0,53% and 1,46%, node 2 0,43% and 6,98%, and node 3 0,14% and 1,87%, also the system is capable to send its data with an RSSI value at node 1 -59.82 dB, node 2 -52.52 dB, and node 3 -70.42 dB. The system is capable to send data using CSMA/CA method with RTT during the RTS/CTS at node 1 is 84 milliseconds, node 2 is 59 milliseconds, and node 3 is 60 milliseconds. Meanwhile, RTT when sending data at node 1 is 67 milliseconds, node 2 is 59 milliseconds, and node 3 is 60 milliseconds, and data collision probability can be minimized to 4%. Finally, the system is capable to send notifications when the temperature and humidity conditions exceed the optimal limit through the Telegram app and able to reply the commands from users with an average response time of 12.6 seconds.
Rancang Bangun Simulasi Robot Beroda Untuk Pengiriman Barang Di Dalam Gedung Berbasis Metode Particle Filter Reza Budi Pratikto; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The F building at the Faculty of Computer Science, Universitas Brawijaya hold 12 floors and has separate rooms which arranged in several dividers between rooms where each floor in the building has different functions and jobs, in a words, a coordination for logistical assistance or file delivery is indispensable. Current document delivery activities generally depend on the workforce of employees, and are quite time consuming and cause a lack of concentration on employees doing their own work. Therefore in this study the researcher will focus on discussing the design of a wheeled robot for logistics delivery in the building. The system were designed in a simulation used ROS-Gazebo to run the robot and the method used to run the robot were using a Particle Filter. The robot's particle filter works by localized its position by spreading a number of particles around it so that the particles can represent the robot's position. Particle Filter test can be done by determining a certain number of particles, testing the accuracy of its position and computation time for 5 times. In later testing, it was found that the number of particles that had high accuracy was at 50 particles with an average computation time of 292.08 ms for each number of particles tested. The results show that the time and the number of particles are optimum in the F9.3 building environment located at the Faculty of Computer Science, Universitas Brawijaya.
Implementasi Sistem Pendeteksi Fibrilasi Atrium berdasarkan Interval dan Gradien QRS menggunakan Metode Jaringan Saraf Tiruan Muhammad Bilal; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 7 (2021): Juli 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Atrial fibrillation is a type of arrhythmia that occurs due to electrical breakdown from the atria so that blood cannot be pumped to the ventricles at the right time. This condition can lead to other complications, such as stroke, palpitations, cardiomyopathy and heart failure. The detection can be done using an electrocardiograph (ECG), holter monitor or electrophysiology, but this action takes a lot of time and money. Based on this, research was carried out to detect Atrial Fibrillation as soon as possible by building a system consisting of sensor AD8232, Arduino Uno and 16x2 LCD. The ECG signal will be acquired by the AD8232 sensor and processed by Arduino Uno to obtain feature values. The features used are the average and the median value of the QRS gradient and interval. The Artificial Neural Network (ANN) method is used as a classifier of these features with 2 conditions, “Normal” and “FA”. A total of 60 datasets were used, 40 of which were used as training data in the ANN training phase with backpropagation algorithm and 20 were used as testing data. From the BPM test carried out by comparing the sensor acquisition value and the manual calculation value, it was found that the accuracy of the sensor in acquiring the ECG signal was 94,55%. Then from the 20 tested data, the classification accuracy of the ANN method is 90% with an average calculation time of 32,09 ms.
Rancang Bangun Simulasi Robot Beroda untuk Pengiriman Barang di dalam Gedung berbasis Metode Particle Filter Reza Budi Pratikto; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The F building at the Faculty of Computer Science, Universitas Brawijaya hold 12 floors and has separate rooms which arranged in several dividers between rooms where each floor in the building has different functions and jobs, in a words, a coordination for logistical assistance or file delivery is indispensable. Current document delivery activities generally depend on the workforce of employees, and are quite time consuming and cause a lack of concentration on employees doing their own work. Therefore in this study the researcher will focus on discussing the design of a wheeled robot for logistics delivery in the building. The system were designed in a simulation used ROS-Gazebo to run the robot and the method used to run the robot were using a Particle Filter. The robot's particle filter works by localized its position by spreading a number of particles around it so that the particles can represent the robot's position. Particle Filter test can be done by determining a certain number of particles, testing the accuracy of its position and computation time for 5 times. In later testing, it was found that the number of particles that had high accuracy was at 50 particles with an average computation time of 292.08 ms for each number of particles tested. The results show that the time and the number of particles are optimum in the F9.3 building environment located at the Faculty of Computer Science, Universitas Brawijaya.
Sistem Klasifikasi Mutu Air PDAM berdasarkan Zat Terlarut, PH dan Turbidity menggunakan Metode Fuzzy Sugeno berbasis Arduino Fatchullah Wahid Afifi; Hurriyatul Fitriyah; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Some characteristics of clean drinking water are fresh water, colorless and not smoky. One of the water sources that are considered clean and worth drinking is through PDAM (Perusahaan Daerah Air Minum). Water from PDAM was chosen because it has gone through various physical and chemical processes, so that PDAM-assisted water is considered clean enough to be used for daily needs in the future. Factors that affect the level of water feasibility are usually determined from the mixed content of the water. One of the ingredients used by PDAM is chlorine as a disinfectant to maintain water cleanliness and protect from bacteria. Referring to the Regulation of the Minister of Health of the Republic of Indonesia 492 / MENKS / PER / IV / 2017, the upper limit of chlorine content in drinking water is 5 mg / L. Water quality classification system designed by utilizing pH sensors to know the acidity level in water, turbidity sensors to know the level of turbidity in water, and TDS sensors to know the amount of dissolved substance content in water. Then the system will store and process input data from the sensor using the fuzzy method of takagi-sugeno model to classify water quality based on its content into three groups, namely safe, processed and dangerous. During the testing phase of the system, from 4 experiments with 3 PDAM water samples, the accuracy rate obtained from the system and compared to existing tools was 100%.
Co-Authors A. Ashar Ashari Abdul Muiz Anggit Budiyantoyo Abdullah Asy Syakur Adhly Hasbi Fadhlillah Adji Kuncoro Bhangun Agung Setia Budi Ahmad Mustafa Kamal Amri Yahya Andika Bhayangkara Andre Adikusuma Arya Rizky Imansyah Harahap Axel Elcana Duncan Bagas Gerry Caesario Bagus Sawung Timur Barlian Henryranu Prasetio Billy Gusparentaqi Dahnial Syauqy Dias Alfan Nur Ilham Dimas Dwi Saputra Dinda Adimanggala Dionisius Marcello Divito Duwi Hariyanto Farras Nabil Fatchullah Wahid Afifi Fitra Abdurrachman Bachtiar Fitriyah, Hurriyatul Gembong Edhi Setyawan Hani Firdhausyah Haryanto Sihombing Hurriyatul Firtiyah Irfan Harlim Ivan Kasogi Jeffry Atur Firdaus Lia Safitri Lucky Pamboro Luqmanul Halim Zain Lutfi Anang Makruf M. Khanif Ashar Mahesha Bayu Paksi Mochammad Hannats Hanafi Ichsan Mochammad Zava Abbiyansyah Mohammad Riski Aprilianto Muhamad Delta Rudi Priyanto Muhammad Bilal Muhammad Junifadhil Caesariano Muhammad Kholash Fadhilah Muhammad Rheza Caesardi Muhammad Rifqi Radifan Masruri Muhammad Taufiq Azra Haromain Nengah Affan Riadi Nikmatus Soleha Okky Nizka Pratama Othman Mirizi Batubara Pandy Aldrige Simanungkalit Priyo Prasetyo Putra Berlian Ageng Mukti Putri Harviana Rahmat Yusuf Afandi Rakhmadhany Primananda Reza Budi Pratikto Rhaka Gemilang Sentosa Riyad Febrian Rizal Maulana Rizky Widya Mahendra Ryan Anggito Priono Sabriansyah Rizqika Akbar Selina Kusmiawati Seprianto Ray Roganda Sianipar Septiyo Budi Perkasa Syaafi’ Nurwahyono Sustami Tan Varian Kashira Tedy Kurniawan Utaminingrum, Fitri Vedric Amos Sinaga Widasari, Edita Rosana Wijaya Kurniawan Yanottama Oktabrian Yoga Sugma Pradana Yosia Nindra Kristiantya Zamaliq Zamaliq