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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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Sistem Navigasi Waypoint Pada Robot Beroda Berdasarkan Global Positioning System Dan Filter Kalman A. Ashar Ashari; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wheeled robot is one of the most popular categories of mobile robots in the field of its science development. By its functional aspect, a wheeled robot is expected to be able to assist humans in terms of optimized transportation, unmanned exploration vehicle, and etc. The wheeled robot development will continue to run, and as well as its problem of sensor readings, positioning, and navigation system. Waypoint takes an important part in terms of developing navigation systems. In its application, waypoint navigation systems on a wheeled robot are used for reading a correcting position mistake, from GPS data alongside a sensor capable to pinpoint a heading and acts like a compass that can be able to establish a rotational motion. This research has the aim to improve the accuracy of reading data from the GPS module with or without implementing the Kalman Filter and also establishing rotational motions. The results of the research conducted, it was concluded that the accuracy of the magnetometer sensor is at the limit around 1° - 2 ° at the fault tolerance limit with testing parameters 6.1, 7.1, 8.1, 9.1, and 10.1. From the results of the GPS module, it was found that the level of module accuracy varies but is still within a 10m success radius
Sistem Biometrik Gerakan Tanda Tangan Menggunakan Sensor MPU6050 dengan Metode Backpropagation Muhamad Delta Rudi Priyanto; Eko Setiawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Signature is a someone unique identity used in presence system as attendance proof and official documents approval. Besides written on paper, signatures are also recorded digitally. To recognize signatures in the realm of technology is called biometrics while the method often used is backpropagation. Signatures are included in the biometric behavioral category with one of the dynamic characteristics of measurement carried out by calculating duration of writing and changes in writing movements. One of the motion recorder technologies is MPU6050 sensor. This sensor is used to get the writing duration feature through many data sets recorded when signature, then changes in vertical movement through gx and changes in horizontal movement through gy. This feature is extracted to be calculated by backpropagation method in tensorflow and requires training data and test data. The training data of this study uses signatures of five different people with five signatures for each person. Testing is done by predicting the five signatures of five people whose signature patterns have been recorded. From the MPU6050 sensor testing, MAPE 17% is obtained. On signature recognition using backpropagation, MAPE was 33%. On prediction signature shows an accuracy of 80%. And at the time of computing requires approximately 54.63s.
Sistem Pendeteksi Kualitas Tanah Tanaman Kedelai Menggunakan Metode K-Nearest Neighbor (K-NN) dengan Arduino Nano Andika Bhayangkara; Eko Setiawan; Hurriyatul Firtiyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Soybean is a top priority crop in food and also includes a commodity that has a high protein in helping meet the nutritional needs of the community at a relatively cheap price when compared to animal protein commodities. Soybeans with a high enough protein must be able to be produced well so that people can get good protein with relatively cheap prices. With the target of increasing production that is able to meet the needs of the community, it is necessary to consider plant growing media in order to grow well. Soybean media media uses soil that has a good nutrient retreat so that it can grow well. So with this we need a system that is able to detect soil quality that will be used as a planting medium for soybean plants. This study will challenge the system that is able to improve the quality of soybean plants using the K-Nearest Neighbor (KNN) classification method by using soil pH parameters and process moisture through the soil supported by Arduino Nano boards as data processing. The classification process will be carried out by collecting data from several soil qualities, then the conversion of land is approved using a pH sensor and a Capacitive Soil sensor, the pH data of the humidity data obtained will use the K-Nearest Neighbor method. The results of the classification process will be continued through the LCD in the form of ph data and moisture results from the detected soil quality. In the process of testing the system using the K-Nearest Neighbor method with K = 3 has the highest verification that is equal to 86.6% compared to K initiating 5, 7 or 9.
Pengembangan Sistem Monitoring Kanal Air sebagai Sarana Penanggulangan Banjir Othman Mirizi Batubara; Mochammad Hannats Hanafi Ichsan; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Floods is one of the most common natural disasters in the Asian region. Based on statistical data of the National Disaster Management Agency (BNPB) on 2009-2018, it was noted that the number of dead and missing victims over 11 thousand people. A monitoring system is needed that can quickly and accurately provide information and warnings to the public. Therefore, the researchers conducted a study entitled the development of a water canal monitoring system as a flood mitigation. To realize a monitoring system, a protocol for network communication is required. Hypertext Transfer Protocol (HTTP) is a protocol that allows communication between the ESP8266 which uses a client and server architecture with centralized control. HTTP POST request-response method can be used for the communication method between WiFi client nodes and WiFi server nodes. The system stores sensor data in a Firebase database connected to the android application. The android application can provide notification alerts to the user if the system detects a danger. Based on the test results, it was concluded that NodeMCU ESP8266 can communicate with each other using the HTTP POST method. From the sensor test, the average error result is 17.86%. In testing the delay of sending data between nodes at a distance of 5m, 30m, 50m, 80m and 100m, it has an average delay of 242.17ms, 964.4ms, 979.3ms, 988.9ms and 997.0ms. In testing the android application the system can display the results of system monitoring and the user gets a warning notification when the system detects a potential hazard.
Implementasi Low Power State Machine pada Sistem Notifikasi Kecelakaan Sepeda Motor Lutfi Anang Makruf; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In this modern era a motorcycle is very common means of transportation to use. With the increasing population of motorcycle users, accidents caused by motorbikes cannot be avoided. In general, accidents cannot be predicted when and where accidents occur. By using an accident notification system on a motorcycle, it will be easier to find out the location of the accident. So that the device does not consume excessive power on a motorcycle battery, it must have a low power mechanism to be able to save power. Low power and state machine mechanisms can be implemented in a prototype system that serves to inform that an accident has occurred by sending a short message containing the location of the accident. In testing the accuracy and functional levels of several components obtained results that are as expected. The MPU6050 sensor has an accuracy of 84.43%, the NEO6M module has an accuracy of 99.99% and the functional module SIM800L can send short messages properly. In testing the low power mechanism can reduce the power consumed by 22.2 mA or 18.8%. The device consumes power of 117.7 mA without using a low power mechanism and consumes power of 95.5 using the low power mechanism.
Sistem Pendeteksi Dehidrasi berdasarkan Warna dan Kadar Amonia pada Urine, Detak Jantung dan Pernapasan berbasis Arduino dengan Metode K-Nearest Neighbor Muhammad Rheza Caesardi; Rizal Maulana; Eko Setiawan
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 Seminar Nasional Teknologi dan Rekayasa Informasi (SENTRIN 2020)
Pengendali Kecepatan Robot Beroda dengan Proporsional Integral Derivative dan Tuning Ziegler-Nichols Bagus Sawung Timur; Eko Setiawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wheeled robot is a technological innovation that facilitates exploration mobilization. The use of wheeled robots in exploring unstable fields is often a quite troublesome obstacle. Based on these problems, in this study, the design of a control system on wheeled robots was carried out that can regulate the speed of the robot both in the incline and the derivative field. The speed monitoring process on the robot uses an optocoupler sensor which is then controlled using Arduino UNO. For the method used as a determinant and speed control regulator, this research uses the PID (Proportional Integral Derivative) method with the Ziggler-Nichols tuning method to the field conditions being faced. In this study, testing is based on several scenarios. In testing the upper limit and lower limit of 225-255 PWM experiments found errors of 60o and 90o. Based on testing to find the PID parameters found results Kp 2.4, Ki 1.92, Kd 0.75. From the results of PID testing on the system obtained an average settling time of 3.6 seconds
Kendali Posisi Robot Beroda Dengan Sistem Global Positioning System (GPS) Menggunakan Proportional, Integral dan Derivative (PID) Berbasis Arduino Mega 2560 Duwi Hariyanto; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A wheeled robot is a technological innovation that makes it easier to mobilize exploration. In carrying out the exploration, the wheeled robot has several obstacles, namely the unstable reading of the robot's position. From this problem, the researcher designed a wheeled robot position control system by adjusting the accuracy of the robot's position. The process of monitoring the position of the robot uses the Ublox Neo-6m GPS module which is controlled by the Arduino Mega2560. Latitude and longitude data obtained from the GPS sensor will be converted into a distance and processed into control. The control used to adjust the position of the robot is PID (Proportional Integral Derivative). For the calculation of PID, this research uses the Zigler-Nichols tuning method in getting to a point. In this study, several tests were carried out for the four controls. The results showed that they had a good response to P and PD controls. Because the two controls achieved set points and had a slight error, where the P control has reached the setpoint in 56.378 seconds with an error = 0.1026 meters with a Kp value of 9.4. Meanwhile, PD control in achieving the target takes 57.384 seconds with an error = 0.1481 meters with a value of Kp = 11.38 and Kd = 11.47.
Pemetaan Ruangan Menggunakan Ar.Drone Dengan Metode LSD-SLAM Yanottama Oktabrian; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Quadcopter is an Unmanned Aerial Vehicle or UAV which has four propellers on its four sides. Nowadays quadcopter often used to help enrich human's life. Quadcopters need basic abilities. One of basic ability it needs is moving. To be able to move automatically the prerequisite is positioning. Positioning is used to determine quadcopter position in an environment. In robotics this problem is named Simultaneous Localization and Mapping or SLAM. Robot system usually uses Global Positioning System (GPS) to determine its location. GPS is primary method to determine robot position at outdoor environments. The problem occurs when GPS is being used in an indoor environment. GPS have low accuracy when used in a closed building. This problem made localization and mapping using GPS in an indoor environment rather difficult, thus another device is needed for SLAM processing. One of device that can be used to determine a quadcopter position is camera. In this research, writer will determine quadcopter position in an indoor environment using Large Scale Direct Monocular SLAM (LSD-SLAM) on an Ar.Drone 2.0. LSD-SLAM library will run using Robot Operating System (ROS) in a Ground Control System (GCS) computer. The results show that Ar.Drone can send images to GCS computer very well. System also can determine movement estimation of quadcopter using images that sent from Ar.Drone integrated camera which will be processed by LSD-SLAM library.
Sistem Klasifikasi Telur Ayam Fertil dan Infertil Menggunakan Fitur Tekstur Dan Metode K-Nearest Neighbor Berbasis Raspberry Pandy Aldrige Simanungkalit; Hurriyatul Fitriyah; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fertile chicken eggs are eggs that fertilized by a male and have potential to hatch while infertile eggs are eggs that not fertilized by a male. In chicken hatching management infertile eggs need to be removed from hatching machine so that they do not rot and explode in hatching machine. The removing process of infertile eggs from hatching machine doing by candling the eggs using a flashlight or lamp placed behind the eggs. In hatching industry with a large capacity doing this process is very tiring for the eyes because it requires high concentration and accuracy so this affects the consistency and accuracy of the observation results, therefor a system that classify fertile and infertile eggs constantly is needed. This study design classification system for fertile and infertile eggs based on Computer Vision with texture feature extracted using Gray Level Co-Occurrence Matrix method and classified using K-Nearest Neighbor method. To support the memory requirements for image processing the system is run on a raspberry pi device. The results of analysis and testing using K-Fold Cross Validation of Gray Level Co-Occurrence Matrix feature extraction show that the best feature combination is dissimilarity-correlation and Classification results using K-Nearest Neighbor show an accuracy rate of 93,33% on the number of neighbor K=7 and 9.
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