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Navigasi Halang Rintang Quadcopter Tanpa Awak menggunakan RPLIDAR dan Algoritma Bug2 berbasis Raspberry Pi Mochammad Zava Abbiyansyah; Eko Setiawan; Agung Setia Budi
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

The Vertical takeoff landing Flying Robot Contest competition, which is one of the branches of the Indonesian Flying Robot Contest (KRTI) in 2021, provides a new challenge, namely that there is an obstacle that will hinder the movement of the flying robot which is likened to a building whose placement is will be carried out randomly and the competition will be held indoors causing the GPS and Barometer values to be unusable. This system uses the Pixhawk flight controller, Raspberry Pi 4, RPLIDAR, OpticalFlow, Ultrasonic GY-US42 and robot operating system (ROS) frameworks. The Bug2 algorithm can be a solution because it has a lightweight process and only requires input parameters from the Lidar sensor distance and global position from the OpticalFlow sensor. The application of the Bug2 algorithm uses a speed value of 1 m/s and a detection distance of 1.5 m according to the test by simulating the Gazebo. For obstacle detection, the Bug2 algorithm gets success results at 90%, a travel time of 24.3 seconds, and CPU usage of 63%.
Pengembangan Sistem Navigasi Robot Beroda menggunakan Lokalisasi berbasis RFID dengan Pathfinding Algoritma A Star pada Simulasi Lingkungan Gudang Farras Nabil; Dahnial Syauqy; Eko Setiawan
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

The rise of the use of E-Commerce sites places a huge burden on the logistical side, therefore many E-commerce companies implemented a fulfillment service in the form of warehousing that reduces the burden on the logistical side. The problem with these fulfillment services is the physical burden put on the workers of the warehouse. Therefore a system will be made that will help the worker with the use of a robot that can move from place to place automatically. This system will be in the form of a robot using a differential drive method and equipped with an RFID sensor to know it's location. An RFID will be placed in certain spots and will be named node. The system will use the A* algorithm to find a route starting from 0,0. The accuracy of the whole of the system is 75% for the movement of the robot, and 100% for the algorithm itself with a speed of computation between 34 and 199 microsecond for computing the path using A* in a map of size 4x3.
Perancangan dan Implementasi Programmable Function Generator menggunakan H-Bridge L298N untuk Rangkaian Wireless Power Transfer Arya Rizky Imansyah Harahap; Sabriansyah Rizqika Akbar; Eko Setiawan
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

One of the factors that affect the level of power transfer efficiency in Wireless Power Transfer (WPT) technology is the frequency of the voltage used on the coil. Not just any voltage frequency can be used, but there are frequency peaks that can maximize the efficiency of WPT power transmission. To overcome this problem, this study designed a programmable function generator that can produce AC waves in the form of square waves which can be programmed using a microcontroller in the output frequency range of 100 Hz to 25 kHz to be tested in the Wireless Power Transfer circuit. This system utilizes the Arduino UNO PWM phase change period with a 50% duty cycle so that a square wave output with a certain frequency is produced on the H-Bridge L298N. This method obtains an accuracy of the output square wave frequency of 99,46% with the highest error value of 1,992%. Implementation of the system in the WPT circuit by analyzing frequency changes in the range 1 kHz to 25 kHz and a distance of 1 cm to 3 cm, the maximum received power value is obtained in the receiver circuit of 79,72 mW at a distance of 1 cm; 73,68 mW at a distance 2 cm; and 53,24 mW at a distance of 3 cm. The maximum power transmission efficiency values obtained in the test were 7,76% at a distance of 1 cm; 7,558% at a distance of 2 cm; and 3,71% at a distance of 3 cm.
Sistem Prediksi Sisa Waktu Nyala Baterai Uninterruptible Power Supply Lampu Kandang Ayam menggunakan Regresi Linier Muhammad Taufiq Azra Haromain; 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

One of the problems when chickens breeding is that many chickens become stress or even die due to the condition of the chicken coop, which suddenly becomes dark due to a sudden power outage. Of course, this will be detrimental to chicken farmers. One solution to keep the lights from going out suddenly is to use a UPS. UPS usage is temporary and the light will remain off when the battery runs out. Therefore, the author wants to create a system that can back up power using an Uninterruptible Power Supply (UPS) and can predict the remaining UPS on time using the linear regression method based on the results of the UPS battery voltage readings made by the voltage sensor. This system is connected to the lamp power and system output, namely the UPS battery voltage. The prediction of the remaining UPS time can be accessed at the website address which will be sent to the user's telegram when the system detects a power outage. Based on testing, the voltage sensor has an average offset value of 0.27V with an error rate of 2.1%. The linear regression equation obtained from the initial dataset is Y = -81.33 + 7.85X. The results of testing the prediction accuracy of the remaining UPS on using the linear regression method on this system obtained an MAPE value of 6.64%.
Pengembangan Sistem Deteksi Air Limbah Tekstil menggunakan Logika Fuzzy Putra Berlian Ageng Mukti; Mochammad Hannats Hanafi Ichsan; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 12 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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The textile industry continues to significantly contribute to the growth of the non-oil and gas sector and the national economy. The increasing production in the textile industry causes pollution to the environment because the results of large volumes of liquid wastewater are discharged into waters, both rivers and ditches. According to Badan Pusat Statistik (BPS), in 2020, the river water quality in Indonesia still needs improvement. To avoid this problem, the research will implement a system that can carry out monitoring to classify the status of textile wastewater. The system will use four input sensors for monitoring: a pH sensor for measuring pH, a DS18B20 sensor for measuring water temperature, an MQ135 sensor for measuring ammonia (NH3) gas, and a turbidity sensor for measuring water turbidity, which is processed on Arduino Mega 2560. The process wastewater classification uses fuzzy Mamdani logic for the decision-making process on the status of textile wastewater. The Mamdani fuzzy logic method is implemented with the Embedded Fuzzy Logic Library (eFLL) to apply fuzzification, inference, and defuzzification. The accuracy level of Mamdani's fuzzy logic is obtained by comparing the system output value of the research tool with the MATLAB output value, with an average water status accuracy of 99,67%. This result shows that the water classification process is magnificent.
Pengembangan Sistem Monitoring pada Identifikasi Kesehatan Pencernaan menggunakan Bluetooth Low Energy (BLE) berbasis Aplikasi Smartphone Ryan Anggito Priono; Barlian Henryranu Prasetio; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 2 (2023): Februari 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A research with the title “Identification System for Digestive Health by Bowel Sound using Convolutional Neural Network” is a research done by a college student named Ryzaldi Ananda Fabiana with the purpose of making a system that could detect ileus obstruction from the person's gastrointestinal sound. But, the implementation of the system uses VNC viewer as an application which needs internet connection to run and showing the result of identification on the raspberry pi's terminal. A solution to the problem is to create a specific application from scratch specifically for the system using a protocol that doesn't require any internet such as BLE or Bluetooth Low Energy. This research will modify the previous research's raspbberry pi untuk a BLE peripheral and create and application that will run as a BLE central that will initiate the connection with the raspberry pi. The system works by initiating a connection between the application and raspberry pi where from the application side it will show every service and characteristic that is initialized on the raspberry pi side and includes several buttons to call the identification functions, merge and downsample the signal data and send the data. This study found that the average time it took for the application and raspberry pi to finish creating a connection or the delay is about 2.060369 seconds, sending a message has an average delay of 0.190982 seconds and sending data has an average delay of 0.0564674 seconds.
Implementasi Robot Manipulator menggunakan Sinyal Electromyography berdasarkan Pergerakan Kaki Manusia Andre Adikusuma; Edita Rosana Widasari; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 2 (2023): Februari 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Technological developments in the medical field have developed rapidly, one example is the manipulator robot. For example, in some cases there are people suffering from stroke who have difficulty moving their limbs. Due to the limited number of rehabilitators, the rehabilitation process took longer and they had to wait in line to carry out rehabilitation. The movement of the robotic manipulator's leg will be based on the movement of the human leg by reading electromyography (EMG) signals generated from the leg muscles through the electrodes. Then an exponential filter is used to reduce the noise from the EMG signal. After filtering the signal obtained will be classified using a decision tree classification. Then the AX-12A servo is used to move the legs of the manipulator robot which has 4 degrees of freedom. The results of the decision tree classification have amplitude values for each movement, which include 0V to 1.995V as a squatting movement with an angle of 450; 1.995V to 2.985V as a 90° seated motion; 2.985V to 5V as a standing movement with an angle of 1800. The test results obtained determine the movement of the leg robot has an accuracy of 70.667% for the total average accuracy. The subjects used were 10 with 5 movements at each angle.
Perancangan Monitoring Sistem Pembatasan Jumlah Pengguna pada Pelayanan Publik menggunakan Naive Bayes untuk Antisipasi Kerumunan Dias Alfan Nur Ilham; Mochammad Hannats Hanafi Ichsan; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 3 (2023): Maret 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

On April 15, 2020, Indonesia confirmed that there were 4,839 cases of COVID-19 transmission, there was a mortality percentage of 9.5% (459 people), PDP under treatment as many as 3,954 people, with 426 patients who recovered. Often there is excess capacity in public spaces because it is very difficult to limit users. Public spaces must have a system that can support these restrictive activities. The system must be able to detect visitors coming in and out of the area which will then calculate the number of people and set restrictions on the number of visitors using a solenoid door. The solenoid door will be set so that it can automatically lock when the public room is at maximum capacity. Current technology makes it possible to classify digital images. The image classification algorithm that can be used is Naive Bayes. Naive Bayes classifies based on promentality and Bayesian theorem which assumes that each variable is independent. The system is able to detect users both entering and leaving the room. The results show that the monitoring system can be displayed on a GUI with readings from the camera and ultrasonic sensors.
Sistem Pengendalian Suhu pada Kandang Ayam Broiler menggunakan PID Controller Bagas Gerry Caesario; Eko Setiawan; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 3 (2023): Maret 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The most influential factor in broiler chicken coop farms is the ambient temperature. If the temperature is too humid, the temperature of the cage environment will rise so that broiler chickens feel hot and have difficulty breathing. Conversely, if the chicken coop is too dry, broiler chickens will feel cold compared to the temperature in the environment, which will affect productivity. The sistem that build using Fan Dc and Heater Lamp as actuator to raise temperature and lower temperature. This research is aimed at overcoming this problem by controlling the temperature of the broiler chicken coop. The parameter used in this research is temperature. The research uses the PID controller method to assist the system in controlling the temperature of the broiler chicken coop. The temperature sensor used is the DHT22, which has the advantage of digital signal output and a wider range of temperature measurements. The method used is PID, which controls the rotation of the motor for the fan, namely proportional control, which has a fast rise time, integral control to minimize errors, and derivative control to reduce overshoot and undershoot. The test results showed that testing the accuracy of the DHT22 temperature and humidity sensors compared to the hygrometer resulted in an average temperature reading error of 0.87%, based on testing the lowest PWM value, resulting in a value of 60 on the DC fan and 25 on the lamp dimmer, as well Kp : 4, Ki : 0.2, Kd : 1 gives the most optimal system response with steady state value : 27.9963, steady-state error : 0.004, settling time : 33962, overshoot : 0.01%, these values are the smallest test values of among other tests so that it shows that test 2 provides the most optimal system response.
Peran Polisi Hutan Dalam Menanggulangi Kegiatan Illegal Logging Di Kawasan Taman Nasional Alas Purwo Eko Setiawan
JURNAL ILMU SOSIAL dan ILMU POLITIK Vol 2, No 2 (2022): Juispol: Jurnal Ilmu Sosial dan Ilmu Politik
Publisher : Universitas Wijaya Kusuma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.309 KB) | DOI: 10.30742/juispol.v2i2.2376

Abstract

Artikel ini bertujuan untuk menjawab permasalahan terkait dengan kegiatan illegal logging. Tingginya keanekaragaman hayati dan ekosistem di Taman Nasional Alas Purwo merupakan fakta yang tidak terbantahkan. Tetapi dengan maraknya illegal logging mengakibatkan kerusakan deforestasi yang dapat mengancam hilangnya kehidupan satwa dan tumbuhan. Penelitian ini menggunakan paradigma konstruktivisme sebagai landasan filosofis dengan desain studi kasus. Penentuan informan dengan teknik purposive, pengumpulan data melalui observasi, wawancara, dokumentasi. Sedang analisisa data menggunakan model interaktif. Berbagai upaya telah dilakukan dalam memberantas illegal logging, namun masih ada saja kendala teknis di lapangan. Oleh sebab itu artikel ini diharapkan dapat menjadi sumbangan pemikiran bagi para pemangku kebijakan, baik tingkat daerah maupun pusat.Kata Kunci: Polisi Hutan, Illegal Logging, Taman Nasional Alas Purwo
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