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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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Implementasi Robot Lengan Pemindah dan Penghitung Jumlah Barang menggunakan Metode Deteksi Objek Histogram of Oriented Gradient (HOG) dan K-Nearest Neighbor (K-NN) Adhly Hasbi Fadhlillah; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

All production sectors currently have warehouses that are used as storage of objects. The occurrence of errors in the process of moving objects from one location to another very often occurs which causes objects to get damaged and disrupt activities in the warehouse. To overcome errors that often occur, the creation of a robotic arm that is capable of moving objects is accompanied by the ability to know the number of objects that have been moved. Input for processing in the system will later be obtained from the inframerah sensor and camera. The inframerah sensor is used to detect the availability of an empty final place. The camera functions as a tool used to obtain digital images of objects. The image will be selected using HSV to get the color of the object, which will then be carried out feature extraction using the Histogram of Graident (HOG). The features obtained will be distinguished using K-Nearest Neighbor (K-NN) in order to obtain the final result in the form of the shape and color of the object. In the next step, the object will be moved by the hand robot to its final place by means of reverse kinematics. Inverse kinematics is a way to get the values ​​of each joint from the robot hand by changing the location coordinates. When the robot successfully moves the object, it will automatically add value to the LCD screen. The results of the tests that were run 10 times on the system as a whole got a value of 90% on a successful object movement, a perfect score on the calculation of items that had moved and a calculation time of 9811 microseconds.
Implementasi Fuzzy Logic Mamdani pada Sistem Monitoring dan Kontrol Kandang Maggot BSF Irfan Harlim; Mochammad Hannats Hanafi Ichsan; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the successes in cultivating BSF (Black Soldier Fly) maggots is influenced by the quality of the environment that must remain ideal, namely temperature and humidity. But this is still rarely known so that it is one of the factors causing the failure to cultivate BSF maggots. Therefore, the monitoring and control system on the BSF maggot cage can be a solution to this problem. The telegram application serves as a media viewer of the designed system. Monitoring serves to get the latest information about the temperature and humidity in the BSF maggot cage, while the control system is designed to determine the active actuator according to the conditions in the BSF maggot cage to remain ideal using the fuzzy logic Mamdani method. From the test results it is concluded that the system can work according to its functions. Telegram bots can provide feedback according to commands sent by users with a response time of 2 seconds. The accuracy of the DHT22 sensor in temperature sensing is 99.16% while the accuracy in humidity sensing is 95.31%. The implementation of fuzzy logic in the system can make the quality of the BSF maggot environment remain ideal and can determine the active actuator according to the conditions on the BSF maggot cage with accuracy to the lamp defuzzification output of 99.89% and the accuracy to the mist maker and fan defuzzification output of 98.66%.
Sistem Pengenalan Suara Batuk menggunakan BFCC dan KNN pada Raspberry Pi untuk Deteksi Dini Penyakit Bronchitis Septiyo Budi Perkasa; Barlian Henryranu Prasetio; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Dipublikasikan di IoTAIS
Sistem Kontrol dan Monitoring Kualitas Air pada Kolam Ikan Air Tawar menggunakan Logika Fuzzy berbasis Arduino Yosia Nindra Kristiantya; Eko Setiawan; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 7 (2022): Juli 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Control on the water quality of freshwater fish ponds is the main thing that must be considered, whether consuming freshwater fish or ornamental freshwater fish. Fish pond water quality parameters that can be controlled for example are temperature and ammonia as parameters that can affect the survival and lifestyle of fish. To overcome this, a water quality control and monitoring system is needed in freshwater fish ponds that can help with these problems. This system receives the results of sensor readings which will later be processed in the microcontroller using the fuzzy method to determine the output of the system. The temperature sensor used is the ds18b20 sensor. Based on the tests that have been carried out in this study, the average value of the reading error from the ds18b20 sensor is 0.95%. The ammonia sensor used is the mq-135 sensor, based on the tests that have been carried out in this study, the average error value of the mq-135 sensor reading is 0%. The Sugeno model fuzzy method used in this study after testing the value with an average error of 3.92%. The system is able to run computations from fuzzy method calculations with an average time of 1.4 seconds
Implementasi Finite State Machine pada Sistem Notifikasi Pesanan Food Court Dionisius Marcello Divito; Agung Setia Budi; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 7 (2022): Juli 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Food Court is one of the people's favorite places to find food, drinks, and snacks. But the problem of long lines waiting for orders can lead to problems such as the transmission of the COVID-19 disease and the possibility of a decrease in the number of customers due to not waiting in line. This queuing problem has been overcome by the existing system, the Restaurant Ordering Paging System, but this system has a weakness, namely there is no clarity on the order status. The purpose of this research is to build a new system and tool that has a 1602 LCD feature to display messages from the order status, and also features changing the message content according to user needs. In this system, the Finite State Machine will be used as a method of how the system works to achieve system goals, so that to perform its function, each node in the system needs to move between states according to the state of its objective function. The system obtained from this research is divided into 2 tools, namely the restaurant node and the customer node, with the restaurant node having 4 states, namely the default state, programming mode state, reading user input state, and data sending state. On the other hand, the restaurant node also works with 4 states, namely the default state, LCD blinking state, LCD blinking state with beep buzzer, and state delay for 1 minute. The results obtained from this study are the success of data transmission by 90% from the 4 state tests used, with 2 customer nodes, 1 restaurant node, and the test was repeated 16 times.
Sistem Kontrol PID pada Purwarupa Robot Pembawa Barang berbasis Line Follower menggunakan Algoritma Path Planning Priyo Prasetyo; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The transporter robot is one of the uses of wheeled robots to help activities in the industrial world. The use of robots carrying goods in the industrial world, especially in the logistics industry, is very much needed because robots can move and sort goods quickly and accurately and compete in warehouse automation to remain competitive and reduce costs. The design of the cargo carrier robot in this study will be based on a line follower robot that can read a Quick Response (QR) code. This system will be built using an Arduino Mega 2560 microcontroller as the main control with input coming from the gm66 sensor as a QR code reading contained in an object that is useful for determining the path planning chosen by the robot in deciding the direction to achieve the goal and the HYS301 line sensor as line detection on the track. This system uses PID control to stabilize the robot's motion when moving on a line and uses a path planning algorithm to determine the direction to be traversed by the robot. The test results on the gm66 sensor show that the ideal distance of sensor reading is at a minimum distance of 15cm, while the optimal reading distance for the HYS301 line sensor is at a distance of 3mm from the floor surface. The PID parameter values ​​obtained so the robot can move in a straight line are Kp = 3, Kd = 0.5, and Ki = 0.7. The time it takes to reach the rise time is around 0.2 seconds, and the time it takes to reach the settling time is 0.69 seconds. The path planning algorithm used is the same as the direction of the robot's motion when it is run. The accuracy results when using the first, second, and third path planning from the tests carried out have a value of 100% each.
Implementasi Komunikasi Multihop dengan Protokol HTTP pada Perancangan Sistem Monitoring Ketersediaan Tempat Duduk Pada Kafe Ahmad Mustafa Kamal; Agung Setia Budi; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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The current number of cafes, some of which have large spaces that cannot be monitored regularly by the cafe related to the availability of seats in the shop, so in one of the cases found in Kopi Daong in the city of Bogor, which was viral and was widely reported on TV because this cafe provides a place to enjoy a cup of coffee with a beautiful forest atmosphere. resulting in a boom in the number of visitors who come and the cafe cannot direct visitors to empty seats so visitors have to look for them themselves. In this case, a system is needed that can provide information regarding the availability of seats to make it easier for the cafe to direct visitors to empty places. This system utilizes a load-cell sensor as a data acquirer and nRF24L01 as a transceiver module and a website is made as the final output of the system so that it can provide information. In the implementation of this research, there are 2 transmitter server nodes that function as data acquirers as well as gateway nodes from 2 client transmitter nodes that function only to acquire data. All data is sent to the sink node and sent back to the database. Therefore, data transmission here uses a multihop mechanism. The results of the tests obtained have perfect accuracy, namely 100% in several test scenarios, namely related to node object recognition, output results on databases and websites, spacing between objects that have spacing scenarios ranging from 5m, 10m, 20m, and 40m. Then the routing of data communication and the successful delivery of data from the database and website side.
Implementasi Sistem Pembatas Kapasitas Pengunjung berdasarkan Pendeteksian Gejala Suspek COVID-19 menggunakan Metode Random Forest Rahmat Yusuf Afandi; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Monitoring the number of visitors in public places that apply PPKM rules is difficult to do manually if in a short time too many visitors come and go. Checking symptoms of suspected COVID-19 cases in public places using only visitors' body temperature parameters is still less accurate considering the symptoms of suspected COVID-19 have several parameters that can be measured. This study developed a system that can calculate visitor capacity automatically and can measure symptoms of suspected COVID-19 in three parameters, namely body temperature, oxygen saturation in the blood, and respiration time. The measurement results of the three parameters will be classified into two classes using the Random Forest method. The system output is displayed by LCD containing text of the sensor measurement value and the classification results as well as the sound produced by buzzer containing an appeal to implement health protocols. The results of oxygen saturation measurement test using the MAX 30100 sensor obtained an average accuracy of 98.98%. Measurement test of body temperature using the MLX 90614 sensor obtained an average accuracy of 99.29%. Measurement test of respiration time using the KY-037 sensor obtained an average accuracy of 97.65%. Measurement test of visitor capacity using the PIR sensor obtains an accuracy of 100%. The test results of fifteen test data against the Random Forest classification achieved an accuracy of 100% with an average computation time of 35.3 s. Monitoring the number of visitors in public places that apply PPKM rules is difficult to do manually if in a short time too many visitors come and go. Checking symptoms of suspected COVID-19 cases in public places using only visitors' body temperature parameters is still less accurate considering the symptoms of suspected COVID-19 have several parameters that can be measured. This study developed a system that can calculate visitor capacity automatically and can measure symptoms of suspected COVID-19 in three parameters, namely body temperature, oxygen saturation in the blood, and respiration time. The measurement results of the three parameters will be classified into two classes using the Random Forest method. The system output is displayed by LCD containing text of the sensor measurement value and the classification results as well as the sound produced by buzzer containing an appeal to implement health protocols. The results of oxygen saturation measurement test using the MAX 30100 sensor obtained an average accuracy of 98.98%. Measurement test of body temperature using the MLX 90614 sensor obtained an average accuracy of 99.29%. Measurement test of respiration time using the KY-037 sensor obtained an average accuracy of 97.65%. Measurement test of visitor capacity using the PIR sensor obtains an accuracy of 100%. The test results of fifteen test data against the Random Forest classification achieved an accuracy of 100% with an average computation time of 35.3 s.
Sistem Tracking Bola dengan Pembagian 3 Area menggunakan Metode Hough Circle Tranform berbasis Raspberry Pi Yoga Sugma Pradana; Eko Setiawan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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This study tries to do an in-depth video analysis using the hough circle transform method which will be applied to a camera slider so that it can detect and move automatically following an object in the form of an orange ball. The case study in this research is to replace the role of the football cameraman on the side of the field in taking close-up shots of the ball. This camera slider is controlled by a raspberry pi 3, a mini computer that is used to detect the ball and control the movement of the camera slider automatically. Image input comes from video input in the form of an orange ball with the help of the opencv library. The output of the results detected by the system is the coordinates of the center of the ball along with the distance of the ball. On the other hand, to facilitate the movement of the ball, the image frame is divided into 3 based on the x-axis. With the division value, area A starts from 0 - 120 pixels, area B starts from 121 - 160 pixels, area C starts from 161 - 320 pixels. To move the camera slider, it is driven by a dc motor at the end of the slider. The main function of the dc motor is to be able to follow the movement of the ball based on the position of the ball in the area A, B or C. While the camera slider position is placed on the side with the camera position facing the field. The size of the field in the study was reduced from its actual size to 1 meter x 2 meters. The camera slider can successfully detect the orange ball with a maximum detectable distance of 90 cm and the camera slider can move following the ball to the right, left and stops.
Sistem Kendali Robot Beroda Wall-Follower pada Tembok Lurus dan Berbelok menggunakan Metode PID Haryanto Sihombing; Eko Setiawan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wall following navigation is one of the navigation systems used in competitions, for example, in the Indonesian Intelligent Robot Contest (KRCI), where the robot's task is to follow the contours of the walls that form hallways and rooms or is called a wall follower robot. The method used in this wall follower robot is PID method, can make system movement more stable and capable to do an effective error correction. PID controller can hold motor speed at required fixed value and navigate the wall follower. Arduino Uno R3 microcontroller, ultrasonic sensor, and L298N motor driver are used in making this robot system. The determination of the PID controller parameters was obtained using the Ziegler-Nichols second method. This method was chosen to anticipate changes in distance that cause oscillations in the ultrasonic sensor. The combination of PID and Ziegler-Nichols second method will speed up the process of determining PID controller parameters without having to go through a trial-and-error tuning process. The results of the tests showed that with the help of the PID controller, the wall follower robot has been able to make decisions about the movements that must be carried out to follow the side of the wall. The results of the PID parameters achieved from this final project research obtained values of Kp = 6, Ki = 17.1, and Kd = 0.525.
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