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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) Techno.Com: Jurnal Teknologi Informasi Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Teknologi Informasi dan Ilmu Komputer Seminar Nasional Informatika (SEMNASIF) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology Padjadjaran Journal of Dentistry Briliant: Jurnal Riset dan Konseptual JOIV : International Journal on Informatics Visualization JURNAL INTEGRASI J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Mantik Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Indonesian Journal of Electrical Engineering and Computer Science GUYUB: Journal of Community Engagement Jurnal Rekayasa elektrika The Indonesian Journal of Computer Science

Bima Sena Bayu Dewantara

Politeknik Elektronika Negeri Surabaya

Author-ID : 2387951

Religion Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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The Enhancement of 3 MHz Ultrasonic Echo Signal for Conversion Curve Development for Acoustic Impedance Estimation by Using Wavelet Transform Edo Bagus Prastika; Agus Indra Gunawan; Bima Sena Bayu Dewantara; Naohiro Hozumi; Chandra Edy Prianto
EMITTER International Journal of Engineering Technology Vol 6 No 1 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Ultrasonic technology has already been used for many applications. Most of them are mainly used for object measurement. Some techniques have been widely applied to particular measurement by utilizing a very specific component. In this research, the previous technique to develop a conversion curve to obtain the acoustic impedance of the target is adopted. Then, we propose a 3 MHz concave shaped ultrasonic transducer for measuring liquids and a confirmation is needed to confirm if the system used is correct. Therefore, several saline solutions which property has been known are used. A low voltage of 10 Volt pulse is used to trigger the transducer. The ultrasonic wave is then transmitted through the multilayered mediums, which is pure water, clear acrylic, and the target. The echo from the interface between the acrylic and the target is then received by the same transducer. Some parameters such as peak and RMS are used to develop the conversion curve. A peak detection and comparison between the original echo and the processed one by using Wavelet transform (UWT and DWT) is then performed. Some analysis of the echo signal by using multiresolution and time-frequency analysis is also proposed. The result obtained from the measurement is then compared to that from the theoretical calculation. Based on the result, in terms of developing the calibration graph, only the RMS value (UWT) which has the closest trend to the result of the calculation, with the mean percentage error of 0.65512%, which is the smallest value among all parameters.

Design and Implementation of Embedded Water Quality Control and Monitoring System for Indoor Shrimp Cultivation Oskar Natan; Agus Indra Gunawan; Bima Sena Bayu Dewantara
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Maintaining the water quality of a pond is one of the main issues on aquaculture management. Water quality represents the condition of a pond based on several water parameters such as dissolved oxygen (DO), temperature, pH, and salinity. All of these parameters need to be strictly supervised since it affects the life-sustainability of cultivated organisms. However, DO is said to be the main parameter since it affects the growth and survival rate of the shrimp. Therefore, a water quality control and monitoring system is needed to maintain water parameters at acceptable value. The system is developed on a mini-PC and microcontroller which are integrated with several sensors and actuator forming an embedded system. Then, this system is used to collect water quality data that is consisting of several water parameters and control the DO as the main parameter. In accordance with the stability needs against the sensitive environment, a fuzzy logic-based controller is developed to maintain the DO rate in the water. This system is also equipped with SIM800 module to notice the farmer by SMS, built-in wifi module for web-based data logging, and improved with Android-based graphical user interface (GUI) to perform user-friendly monitoring. From the experiment results, a fuzzy controller that is attached to the system can control the DO at the acceptable value of 6 ppm. The controller is said to have high robustness since its deviation for long-time use is only 0.12 ppm. Another test shows that the controller is able to overcome the given disturbance and easily adapt when the DOâ€™s set point is changed. Â Finally, the system is able to collect and store the data into cloud storage periodically and show the data on a website.

Sistem Deteksi Bola pada Robot Kiper Pemain Sepakbola Beroda Rifqi Amalya Fatekha; Bima Sena Bayu Dewantara; Hary Oktavianto
JURNAL INTEGRASI Vol 13 No 2 (2021): Jurnal Integrasi - Oktober 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v13i2.3133

Perkembangan pada dunia robotika pada saat ini semakin pesat, di mana robot dapat berguna dalam setiap kegiatan manusia. Di Indonesia ajang kontes robot sudah dilakukan pada setiap tahunnya baik tingkat regional dan tingkat nasional. Salah satu kategori yang ingin dibahas dalam penelitian ini adalah kategori Kontes Robot Sepakbola Indonesia (KRSBI). Pada kategori ini, robot harus bisa bernavigasi untuk mencari bola dan menendang kearah gawang. Tujuan utama dari robot ini adalah bernavigasi dan mencari bola sampai kearah gawang lawan. Robot sepakbola beroda merupakan salah satu kategori robot yang pertama kali dipertandingkan pada KRI (Kontes Robot Indonesia) 2018 kategori KRSBI (Kontes Robot Sepakbola Indonesia) Beroda. Robot sepakbola dikembangkan agar memiliki fungsi yang mirip dengan pemain sepakbola pada umumnya yaitu mengejar bola, menggiring bola, dan menendang bola. Salah satu permasalahan yang masih dikembangkan sampai saat ini adalah bagaimana robot mampu mendeteksi bola menggunakan sensor kamera (webcam). Deteksi bola merupakan salah satu langkah awal dalam menentukan aksi selanjutnya robot sepakbola beroda seperti mengejar, menggiring, dan menendang bola. Karena bola yang digunakan pada pertandingan berwarna oranye maka pada penelitian ini dikembangkan pendeteksian bola menggunakan metode filter warna. Robot penjaga gawang bertugas untuk dapat menghadang bola berwarna oranye memasuki gawang. Robot tersebut harus mampu mendeteksi bola dengan akurat untuk menentukan pergerakan robot selanjutnya. Artikel ini mendeskripsikan pengembangan robot penjaga gawang yang mampu mendeteksi warna dan bentuk bola dengan metode HoughCircle dan approxPolyDP.

Implementation of Yin Algorithm to Detect Human Voice Emotions According to Gender: Implementation of Yin Algorithm to Detect Human Voice Emotions According to Gender Fikri Aulia; Achmad Basuki; Bima Sena Bayu Dewantara
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Computer technology and artificial intelligence experience rapid development every year, one of which is in media speech recognition. Speech recognition is a virtual digital data assistant that exists in software applications, and is used as a tool to help human needs such as communication, but is often misused by users. This study conducted a voice recording to get the difference in the sound of each human gender data. The study uses the Yin algorithm to extract data, then the sound pitching process is performed using the histogram pitch feature of the standard deviation and the mean. From this study, it was found that the pitch of men is different from women. The shape of the pitch histogram contours is similar between men and women but the female pitch histogram shifts to a higher frequency than men. This pitch shift in women occurs in all expressions.

Density-based Clustering for 3D Stacked Pipe Object Recognition using Directly-given Point Cloud Data on Convolutional Neural Network Alfan Rizaldy Pratama Pratama; Bima Sena Bayu Dewantara; Dewi Mutiara Sari; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 10 No 1 (2022)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v10i1.704

One of the most commonly faced tasks in industrial robots is bin picking. Much work has been done in this related topic is about grasping and picking an object from the piled bin but ignoring the recognition step in their pipeline. In this paper, a recognition pipeline for industrial bin picking is proposed. Begin with obtaining point cloud data from different manner of stacking objects there are well separated, well piled, and arbitrary piled. Then followed by segmentation using Density-based Spatial Clustering Application with Noise (DBSCAN) to obtain individual object data. The systems then use Convolutional Neural Network (CNN) that consume raw point cloud data. Performance of the segmentation reaches an impressive result in separating objects and network is evaluated under the varying style of stacking objects and give the result with average Accuracy, Recall, Precision, and F1-Score on 98.72%, 95.45%, 99.39%, and 97.33% respectively. Then the obtained model can be used for multiple objects recognition in one scene.

Improving the speed of ball detection process and obstacle detection process in ERSOW robot using omnidirectional vision based on ROS Muhammad Abdul Haq; Iwan Kurnianto Wibowo; Bima Sena Bayu Dewantara
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1365-1371

This paper presents a novel approach for improving the computation speed of the ball detection and obstacle detection processes in our robot. The conditions of obstacle detection and ball detection in our robot still have a slow processing speed, this condition makes the robot not real-time and the robot's movement is hampered. To build a good world model, things to note are obstacle information and real-time ball detection. The focus of this research is to increase the speed of the process of the ball and obstacle detection around the robot. To increase the speed of the process, it is necessary to optimize the use of the OpenCV library on the robot operating system (ROS) system to divide the process into several small processes so that the work can be optimally divided into threads that have been created. Then, minimize the use of too many frames. This information will be sent to the base station and also for obstacle avoidance purposes.

Pembuatan Sistem Mikroskop Digital Terintegrasi dengan Pengolahan Citra untuk Pengembangan Perangkat Pembelajaran IPA di SMPIT Al Uswah Surabaya Bima Sena Bayu Dewantara; Dadet Pramadihanto; Wahjoe Tjatur Sesulihatien; Amang Sudarsono; Hary Oktavianto; Bambang Sumantri; Idris Winarno
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 7 No 2 (2022): Agustus
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v7i2.2413

Untuk mewujudkan pembelajaran yang baik dan tepat kepada para siswa-siswi peserta didik sehingga dapat meningkatkan pemahaman, pengalaman dan kemampuan siswa-siswi, maka pendidikan yang diterima tidak hanya diperlukan untuk melatih aspek kognitif saja. Namun juga diperlukan untuk membangun kemampuan afektif dan psikomotornya. Oleh karena itu, pembelajaran berbasis praktek di laboratorium perlu untuk diberikan. Kegiatan ini bertujuan untuk membuat sebuah peralatan bantu kepada para siswa-siswi SMPIT Al Uswah Surabaya yaitu perangkat mikroskop digital yang terintegrasi dengan embedded mini PC sehingga hasil observasi/pengamatan yang dilakukan siswa-siswi bisa lebih cepat, akurat dan efisien. Peralatan yang dikembangkan terdiri dari sebuah perangkat mikroskop digital dengan kemampuan pembesaran hingga 1600x, sebuah embedded mini PC, sebuah monitor dan satu set keyboard-mouse wireless terintegrasi. Disamping itu, kami juga mengembangkan aplikasi atau perangkat lunak untuk mendukung fungsi operasional peralatan dengan menggunakan pendekatan pengolahan citra. Diharapkan dengan adanya bantuan dari kegiatan ini, siswa dan siswi SMPIT Al Uswah Surabaya mampu meningkatkan kemampuan dan mendapatkan pengalaman berharga selama menjalani studi di SMPIT tersebut.

Embedded system training based on Arduino to improve software programming knowledge for vocational students Idris Winarno; Aliridho Barakbah; Dadet Pramadihanto; Wahjoe Tjatur Sesulihatien; Tri Harsono; Bima Sena Bayu Dewantara; Setiawardhana Setiawardhana; Arna Fariza; Iwan Syarif; Tessy Badriyah; Ilham Iskandariansyah; Puspasari Susanti
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 7, No 4 (2022): November 2022
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v7i4.8039

Vocational high school students majoring in engineering, who are the successors to technology developers in society, need hard skills to enter the workforce. However, the students of SMK Negeri 2 Bangkalan have not received knowledge about embedded systems. In supporting this need, Master in Applied Informatics and Computer Engineering Program at Politeknik Elektronika Negeri Surabaya held a community service program by holding practice-based training on Arduino Uno-based embedded systems. This program is aimed at vocational high school students so that they can improve their abilities and skills in hardware programming and embedded. The method used in this activity is workshop-based training. The workshop includes a basic explanation of recognizing Arduino and embedded systems, a simple Arduino circuit practicum, and questions and answers between tutors and trainees. The results achieved from this activity are indicated by the results of the training evaluation questionnaire. In general, the training material is considered to be in accordance with the need to add insight, knowledge, skills, and expertise. In addition, the practice-based training on Arduino Uno-based embedded systems has provided benefits for students to use technology in their daily lives.

Omnidirectional Stereo Vision Study from Vertical and Horizontal Stereo Configuration Husein Aji Pratama; Bima Sena Bayu Dewantara; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 10 No 2 (2022)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v10i2.700

In stereo vision, an omnidirectional camera has high distortion compared to a standard camera, so the camera calibration is very decisive in its stereo matching. In this study, we will perform stereo matching for an omnidirectional camera with vertical and horizontal configuration so that the result of the image's depth has a 360-degree field of view by transforming the image using a calibration-based method. The result is that by using a vertical camera configuration, the image can be stereo matched directly, but by configuring a horizontal image, it is necessary to carry out a different stereo-matching process in each direction. Stereo matching with the semi-global matching method has better image results than block matching with more image objects detectable by the semi-global block matching method with a maximum disparity value of 32 pixels and with a window size of 21 pixels.

Optimization of Fuzzy Social Force Model Adaptive Parameter using Genetic Algorithm for Mobile Robot Navigation Control Alif Wicaksana Ramadhan; Bima Sena Bayu Dewantara; Setiawardhana Setiawardhana
Jurnal Rekayasa Elektrika Vol 19, No 1 (2023)
Publisher : Universitas Syiah Kuala

The Social Force Model (SFM) is a popular navigation technique for mobile robots that is primarily used to simulate pedestrian movement. The SFM method's drawback is that several parameter values, such as gain, k, and impact range, σ, must be determined manually. The reaction of the SFM is frequently inappropriate for certain environmental circumstances as a result of this manual determination. In this paper, we propose employing the Fuzzy Inference System (FIS), whose rules are optimized using a Genetic Algorithm (GA) to manage the value of the gain, k, parameter adaptive. The relative distance, d, and relative angle, α, concerning the robot's obstacle are the inputs for the FIS. The test results using a 3-D realistic CoppeliaSim demonstrated that the learning outcomes of FIS rules could provide adaptive parameter values suitable for each environmental circumstance, allowing the robot to travel smoothly is represented using the robot’s heading deviation which decreasing by and reaching the goal 1.6 sec faster from the starting point to the goal, compared to the SFM with the fixed parameter value. So that the proposed method is more effective and promising when deploying on the real robot implementation.

Co-Authors Achmad Basuki Achmad Basuki Achmad Basuki Afifah, Izza Nur Agus Indra Gunawan Agus Indra Gunawan Agus Indra Gunawan Ahmad Fauzi Makarim Alfan Rizaldy Pratama Pratama Ali Ridho Barakbah Alif Wicaksana Ramadhan Amang Sudarsono, Amang ANUGERAH WIBISANA Anwar Anwar Apriandy, Kevin Arif Hidayah Arif Hidayah Arna Fariza Arya Brahmanta Arya Brahmanta, Arya Ashadi, Imam Asmarany, Anja Aulia Dwi Maharani Aulia, Fira Bagus Nugraha Deby Ariyadi Bambang Sumantri Bambang Sumantri Catoer Ryando Chandra Edy Prianto Dadet Pramadihanto Dadet Pramadihanto Dadet Pramadihanto Dadet Pramadihanto Daffa, Muhammad Fariz Dewanto, Raden Sanggar Dewi Mutiara Sari Djoko Purwanto Edo Bagus Prastika Endra Pitowarno Fadhillah, Excel Daris Faiz Ulurrasyadi Fatekha, Rifqi Amalya Ferry Astika Saputra Fikri Aulia Fikri Aulia Fildzah Aure Gehara Zhafirah Fithrotul Irda Amaliah Gunawan, Agus Indra Gunawan, Agus Indra Hamida, Silfiana Nur Hary Oktavianto Hozumi, Naohiro Huda, Achmad Thorikul Huda, Achmad Torikul Husein Aji Pratama Idris Winarno Idris Winarno Ihwan Dwi Wicaksono Ilham Iskandariansyah Imam Ashadi IMANUDDIN, ACHMAD ILHAM Insivitawati, Era iwan Syarif Iwan Syarif Jun Miura Jun Miura, Jun Junaedi Ispianto Kamaluddin, Muhammad Wafiq Kevin Apriandy Kevin Ilham Apriandy Kisron Kisron Linda Indrayanti Lusiana Lusiana M Udin Harun Al Rasyid, M Udin Harun Makarim, Ahmad Fauzi MARTINI, NI PUTU DEVIRA AYU Mohamad Walid Asyhari Mohamad Walid Asyhari Muhammad Abdul Haq Muhammad Anwar Sanusi Muhammad Faiz Muhammad Jainal Arifin Naohiro Hozumi Onie Meiyanto Oskar Natan Prastika, Edo Bagus Pratama, Ariesa Editya Prianto, Chandra Edy Prima Kristalina Puspasari Susanti Rabbani, Fahmi Muhammad Rabbani Rachmawati, Oktavia Citra Resmi Raden Sanggar Dewanto Raden Sanggar Dewanto Ricky Afiful Maula Rika Rokhana Riyanto Sigit Riyanto Sigit, Riyanto Romadhon, Nur Rizky Rudi Kurniawan Sanusi, Muhammad Anwar Sesulihatien, Wahjoe Tjatur Setiawardhana Setiawardhana Setiawardhana Setiawardhana Setiawardhana Setiawardhana Setiawardhana, Setiawardhana Sholahuddin Muhammad Irsyad Sigit Riyanto Susanti, Puspasari Taufiqurrahman Taufiqurrahman Tessy Badriyah Tessy Badriyah, Tessy Tita Karlita Tita Karlita Titon Dutono Tri Harsono Tri Harsono Wahjoe Tjatur Sesulihatien Wahjoe Tjatur Sesulihatien Wibowo, Iwan Kurnianto

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