Articles
Pelatihan Mikrokontroler dan Aplikasi Robot Halang Rintang pada Siswa SMP Negeri 13 Palembang
Ahmad Zarkasi;
Bambang Tutuko;
Siti Nurmaini;
Firdaus Firdaus
Annual Research Seminar (ARS) Vol 5, No 2 (2019): Special Issue : Pengabdian Kepada Masyarakat
Publisher : Annual Research Seminar (ARS)
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pendidik terutama dosen dalam melaksanakan tridarma perguruan tinggi. Dalam hal ini program pengabdian kepada masyarakat. Pada pelaksanaan pengabdian kepada masyarakat ini menjelaskan tentang hasil pelatihan mikrokontroler, kemudian diaplikasi pada robot sederhana, yaitu robot Halang Rintang, sebagai media pengenalan bidang robotika bagi siswa sekolah menengah pertama Negeri 13 Palembang. Pelatihan ini diikuti oleh 20 orang siswa, utusan dari SMP Negeri 13 Palembang. Pelatihan ini menitikberatkan pada bagaiamana membuat algortima permrograman sederhana, yang diaplikasikan pada sebuah robot beroda dengan menggunakan 3 buah sensor infra merah sebagai pendeteksi halangan. Sensor Infra merah akan diatur jaraknya sesuai dengan jarak yang diinginkan. Keluran sensor akan menjadi penggerak untuk sistem aktuator yang berupa 2 buah motor dc.Robot halang rintang menggunakan board arduino uno, dengan mikrokontroler Atmega32 sebagai pengendali keseluruhan sistem. Setiap komplemen materi yang diberikan menunjukkan tingkat keberhasilan diatas 50%. Sehingga pelatihan ini telah dapat mentransfer ilmu dengan baik dan benar.
Segmentasi Atrial Septal Defect menggunakan Convolutional Neural Networks berbasis V-NET
Ade Iriani Sapitri;
Siti Nurmaini;
Sukemi Sukemi
Annual Research Seminar (ARS) Vol 5, No 1 (2019): ARS 2019
Publisher : Annual Research Seminar (ARS)
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Analisis citra medis merupakan sebuah topik yang sangat diminati, karena sangat diperlukan dalam proses mendiagnosis penyakit. Salah satu analisis citra yang telah diteliti saat ini adalah penyakit jantung bawaan pada janin. Ada banyak jenis penyakit jantung bawaan pada janin salah satunya yaitu ASD. Penyakit jantung bawaan memiliki peran penting untuk melakukan diagnosis kelainan pada jantung khususnya janin. Salah satu penyakit jantung bawaan pada janin adalah atrial septal defect. Ada banyak cara yang dilakukan untuk proses melakukan diagnosis pada analisis citra medis yaitu segmentasi. Segmentasi khususnya pada gambar merupakan salah satu kunci dalam melakukan proses diagnosis pada analisis citra medis. Convolutional neural networks (CNNs) merupakan teknik pembelajaran dalam yang sering digunakan khususnya pada segmentasi gambar. Penelitian ini menerapkan sebuah teknik pembelajaran dalam untuk melakukan proses segmentasi pada penyakit jantung bawaan berdasarkan citra gambar. Pendekatan yang diusulkan menggunakan CNNs dengan arsitektur V-NET yang digunakan pada gambar atrial septal defect. Sebagai hasil penelitian hasil kinerja yang didapatkan dengan menggunakan evaluasi matriks piksel akurasi sebesar 96 % mean akurasi 91% dan mean iu sebesar 86%.
Swarm Robots Control System based Fuzzy-PSO
Siti Nurmaini;
Siti Zaiton M. Hashim;
Agus Triadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section
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DOI: 10.11591/eecsi.v1.349
In this paper describes swarm robots control design using combination Fuzzy logic and Particle swarm optimization algorithm. They can communicate with each other to achieve the target. Fuzzy Logic technique is used for navigating swarm robots in unknown environment and Particle Swarm Optimization (PSO) is used for searching and finding the best position of target. In this experiment utilize three identical robots with different color. Every robot has three infrared sensors, two gas sensors, 1 compass sensor and one X-Bee. A camera in the roof of robot arena is utilized to determine the position of each robot with color detection methods. Swarm robots and camera are connected to a computer which serves as an information center. From the experimental results the Fuzzy-PSO algorithm is able to control swarm robots, achieves the best target position in short time and produce smooth trajectory
Swarm Robots Communication-base Mobile Ad-Hoc Network (MANET)
Bambang Tutuko;
Siti Nurmaini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section
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DOI: 10.11591/eecsi.v1.361
This paper describes the swarm robots communication and control base Mobile ad-hoc network (MANET). MANET is a source of codes which migrate the network, collects and exchanges information of network nodes. In this work, the communication networks, which do not rely on fixed, preinstalled communication devices like base stations or predefine communication cells. Communications standards are considered in this work use the ad-hoc network such as Wireless LAN, X-Bee/Zig-Bee and Internet platform. All standards are integrated on swarm robots for real experiments. For finding the target, Particle swarm optimization (PSO) algorithm is proposed to control the real swarm robots communication in unknown experiment. As a results swarm robots-base MANET use PSO algorithm produce past response to find the target and swarm robots can move in the group without collision.
Gas Leak Localization Using Mobile Sensor Networks
Bambang Tutuko;
Siti Nurmaini;
Agus Triadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section
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DOI: 10.11591/eecsi.v2.782
A swarm robotics localization strategybased on deliberates fuzzy and swarm behavior isproposed in this paper. Localization is the processof determining the positions of robots or targetsin whole swarms environment. To localize thetarget in real environment, experiment isconducted utilize three identical robots withdifferent color as mobile sensor node. Fuzzy logicand swarm behavior are keeping the swarmrobots position and direction with a certaindistance to the target position.
Pattern Recognition Approach for Formation Control for Swarm Robotics Using Fuzzy-Kohonen Networks
Siti Nurmaini;
Bambang Tutuko;
Aditya Aditya
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section
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DOI: 10.11591/eecsi.v2.802
Recent advances in robotics have started makingit feasible to deploy large numbers of inexpensive robotsfor tasks such as surveillance and search. However,coordination of multiple robots to accomplish such tasksremains a challenging problem. This paper describes newalgorithm Fuzzy-Kohonen Networks (FKN) to achieve realtimereactive formation control for swarm robots.
Brief Review on Formation Control of Swarm Robot
Ade Silvia Handayani;
Siti Nurmaini;
Iryadi Yani
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section
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DOI: 10.11591/eecsi.v2.804
This paper presented review formation control ofswarm robot. Recently the problems formation control of swarmrobots has attracted much attention, and several formationcontrol schemes were proposed based on various strategies. Theformation control strategies to solved these problem on swarmrobots, with considering regulation concept in control theory.Swarm intelligence algorithms takes the full of advantages of thefeature of swarm robotics, and provides a great solution forproblem formation control on swarm robots.
Review on Odor Localization
Nyayu Latifah Husni;
Siti Nurmaini;
Irsyadi Yani
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section
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DOI: 10.11591/eecsi.v2.807
In this paper, the importance of odor localization isexplained. The researchers that investigated the experimentsand applications of odor localization using static sensors, mobilesensors (that were integrated in single robot, multi robot, andswarm robot) are described. However, there are some difficultiesfaced by the researchers in applying the mobile robots in the realsituation, such as: the speed of mobile robots are not as fast asthe odor patches transporting and the use of more than onesensor in mobile robot can make noises or errors. In the future,the plume finding in the uncertain environment and thechallenges mentioned above will be the authors’ consideration.
Target Tracking in Mobile Robot under Uncertain Environment using Fuzzy Logic Controller
Ade Silvia Handayani;
Tresna Dewi;
Nyayu Latifah Husni;
Siti Nurmaini;
Irsyadi Yani
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section
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DOI: 10.11591/eecsi.v4.981
This paper discusses a design of fuzzy logic algorithm in a robot. This algorithm is useful for the robot in seeking and reaching the target. The robot is also accomplished with an ability to avoid obstacles. Although the fuzzy rule that is embedded to the robot is very simple, it gives a good result in target seeking and obstacles avoiding task. The originality of this research is an approach to the rules that can simplify the task by creating faster track for the robot in uncertain environment.
Odor Localization using Gas Sensor for Mobile Robot
Nyayu Latifah Husni;
Ade Silvia Handayani;
Siti Nurmaini;
Irsyadi Yani
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section
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DOI: 10.11591/eecsi.v4.1087
This paper discusses the odor localization using Fuzzy logic algorithm. The concentrations of the source that is sensed by the gas sensors are used as the inputs of the fuzzy. The output of the Fuzzy logic is used to determine the PWM (Pulse Width Modulation) of driver motors of the robot. The path that the robot should track depends on the PWM of the right and left motors of the robot. When the concentration in the right side of the robot is higher than the middle and the left side, the fuzzy logic will give decision to the robot to move to the right. In that condition, the left motor is in the high speed condition and the right motor is in slow speed condition. Therefore, the robot will move to the right. The experiment was done in a conditioned room using a robot that is equipped with 3 gas sensors. Although the robot is still needed some improvements in accomplishing its task, the result shows that fuzzy algorithms are effective enough in performing odor localization task in mobile robot.