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All Journal ComEngApp : Computer Engineering and Applications Journal JTEV (Jurnal Teknik Elektro dan Vokasional Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Emitor: Jurnal Teknik Elektro Annual Research Seminar JURNAL NASIONAL TEKNIK ELEKTRO Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jusikom : Jurnal Sistem Komputer Musirawas Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Information Technology and Computer Engineering KOMPUTIKA - Jurnal Sistem Komputer GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi Terapan Jurnal Teknologi Elekterika Jurnal Generic REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat J-Innovation Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Rekayasa elektrika ABDIKOM Emitor: Jurnal Teknik Elektro
Kemahyanto Exaudi
Fakultas Ilmu Komputer Universitas Sriwijaya
Aerospace Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Implementasi Fuzzy Logic dan Trajectory Pada Manipulator Mobile Robot Untuk Deteksi Kebocoran Gas R Rendyansyah; Aditya Putra Perdana Prasetyo; Kemahyanto Exaudi
Jurnal Rekayasa Elektrika Vol 15, No 1 (2019)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v15i1.12373

Abstract

Developing technology can facilitate work activities, one of which is technology in the field of robotics. One of the purposes of creating the robot was to assist in investigating suspected targets. The target can be a gas source leak object. On the other hand, gas leaks in industrial estates have a large impact on the environment. Robots are needed to facilitate the inspection process of targets suspected of gas leakage. Robots generally have systems that are integrated with sensors as interfaces and intelligent computing. In this study mobile robots and manipulators have been designed and have the purpose of inspecting objects suspected of being gas leaks. This robot system is called a mobile robot manipulator equipped with a wireless camera for object detection, two gas sensors for aroma detection, each sensor is mounted on the end-effector manipulator and next to the camera. The methods used in robots are fuzzy logic and cubic trajectory. Fuzzy logic is used to navigate robots to objects, and cubic trajectory for navigating manipulators based on the specified route. In the experiments that have been done, the mobile robot can navigate to the target until it stops at a distance of 20cm, and the manipulator is also successful in navigating. In the testing instrument, two leaking points have been determined. Each point is tested six times. The robot succeeded in detecting gas leaks with a success rate of 91.67%, and the position of coordinates read by the manipulator can be observed through the monitor.
PURWARUPA SISTEM PEMANTAUAN POLUSI UDARA DI RUANG TERTUTUP MENGGUNAKAN PLATFORM THINGSPEAK Kemahyanto Exaudi; Nabillah Selva Setiawan; Aditya P P Prasetyo; Rossi Passarella; Huda Ubaya; Purwita Sari; Rido Zulfahmi; Roswitha Yemima Tiur Mediswati
Jurnal Teknologi Terapan Vol 9, No 2 (2023): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v9i2.412

Abstract

Smoking is an act of negligence that a person commits intentionally and causes personal harm. The habit of smoking has spread to children and adolescents. One of the health impacts of smoking is the smoke that is released. Therefore, cigarette smoke is categorized as one of the causes of air pollution. A bad habit that smokers do is smoking in a closed room with minimal ventilation. As a result, the air in the room is contaminated by harmful substances from cigarette smoke. This study aims to monitor the quality of air exposed to cigarette smoke in a prototype closed room and measure the effectiveness of sansevieria plants placed in the room to absorb cigarette smoke in real-time. Air quality is displayed in graphical form using the Thingspeak Platform. The stages carried out in this research are air quality detected using an MQ-7 sensor integrated with the MCU8266 WiFi Node, converting sensor data into smoke density values in units of PPM (parts per million), displaying air PPM graphs in real-time and displaying the absorption ability of sansevieria against air contaminated with cigarette smoke. The results prove that one pot of sansevieria plants (5 leaves) placed in a prototype room with a size of 70cm x 30cm x 45cm can absorb cigarette smoke within 1 hour 39 minutes. While for two pots of sansevieria plants (10 leaves), it takes 1 hour and 11 minutes. Visualization of the absorption graph and normalization of air in the room can also be monitored in real-time through the Thingspeak platform based on the smoke density value against time.
PENGEMBANGAN SISTEM INFORMASI MANAJEMEN DATA KEPENDUDUKAN DESA GELEBAK DALAM KECAMATAN RAMBUTAN KABUPATEN BANYUASIN Sutarno Sutarno; Kemahyanto Exaudi; Rossi Passarella; Ahmad Rifai; Huda Ubaya; Dedy Kurniawan; Rahmad Fadli Isnanto; Purwita Sari
Jurnal Abdikom Vol 1 No 1 (2022): JURNAL ABDIKOM
Publisher : Fakultas Ilmu Komputer

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

Abstract

Desa Gelebak Dalam memiliki luas wilayah 17.779 Ha dengan jumlah penduduk ± 2.100 jiwa dari 552 kepala keluarga. Pekerjaan utama masyarakat desa adalah bertani sawah. Selain itu budidaya ikan sungai dan perkebunan seperti jagung dan buah naga juga dilakukan oleh masyarakat setempat. Informasi ini diperoleh berdasarkan penjelasan perangkat desa tanpa bukti tertulis. Hal ini menyebabkan perangkat desa sulit untuk memetakan potensi sumber daya yang ada dan berakibat pada kurang tepatnya bantuan, penyuluhan dan pendampingan yang diberikan pemerintah maupun swasta untuk mengembangkan potensi desa. Tujuan pengabdian ini adalah menerapkan sistem e-government pedesaan yang dapat membantu perangkat desa dalam mengelola informasi yang berkaitan dengan administrasi kependudukan, surat-menyurat, data sumber daya dan potensi desa, serta pelaporan informasi yang dapat membantu pemerintah mengambil keputusan dalam perencanaan pengembangan desa. Tahapan pelaksanaan kegiatan ini menggunakan metode FAST yaitu survei dan diskusi di desa, analisa permasalahan dan kebutuhan desa, menentukan model bisnis sistem, analisa kebutuhan sistem, serta pengembangan dan implementasi sistem. Hasil akhir dari kegiatan pengabdian ini adalah masyarakat desa dapat dengan mudah dan cepat memproleh informasi secara transparansi. Potensi desa dapat ditingkatkan dengan penyuluhan yang tepat sasaran melalui rekomendasi data sistem. Perangkat desa dapat mengelola dan menemukan data kependudukan dengan mudah melalui sistem database yang terpusat.
Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG) Exaudi, Kemahyanto; Rendyansyah, Rendyansyah; Prasetyo, Aditya Putra Perdana
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 5 No. 2 (2021)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v5i2.464

Abstract

Biomedical technology has now been widely adopted as a means of monitoring the human body in real-time. For example, to detect eye movement. In the medical world, eye movement can be used to determine the type of disease. With the application of human-machine interface (HMI) technology, eyeball movement can be developed in the robotics industry as robot navigation. For example, by moving the eyeball left and right, the robot can interpret the eye signal to move left and right. The interaction between the eyeball movement and the robot is of particular concern in this study. This study aimed to design a measuring instrument for eye movement detection using Electrooculography (EOG) techniques to move a wheeled robot. The EOG measuring instrument consisting of an instrument differential amplifier, a low pass filter, and a high pass filter has been applied in this research. The signal generator technique on EOG is carried out by placing electrodes on three sides of the face, namely forehead (G), left horizontal (H-), right horizontal (H +). The experimental results showed a significant difference between the left and right eye movement amplitude signals. This amplitude is used to classify the movement of the robot wheel towards the left and right. The process of sending robot signals and EOG measuring instruments uses Bluetooth HC-05 serial communication. Based on the research results, it is proven that the robot manages to move left and right according to the eyeball movement.
The Eye and Nose Identification Chip Controller-Based on Robot Vision Using Weightless Neural Network Method Zarkasi, Ahmad; Ubaya, Huda; Exaudi, Kemahyanto; Fitriyanto, Megi
Computer Engineering and Applications Journal Vol 13 No 03 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v13i03.615

Abstract

Increasingly advanced image analysis in computer vision, allowing computers to interpret, identify, and analyze pictures with accuracy comparable to humans. The availability of data sources in decimal, hexadecimal, or binary forms enables researchers to take the initiative in applying their study findings. Decimal formats are typically used on traditional computers like desktops and minicomputers, whereas hexadecimal and binary formats were utilized on single-chip controllers. Weightless Neural Network is a method that can be implemented in a single chip controller. The aim of this research is to develop a facial recognition system, for eye and mouth identification, that works in a single chip controller or also called a microcontroller. The suggested method is a Weightless Neural Network with Immediate Scan approach for processing and identifying eye and nose patterns. The data will be handled in many memory locations that are specifically designed to handle massive volumes of data. The data is made up of primary face data sheets and face input data. The data sets utilized are (x,y) pixels, and frame sizes range from 90x90 pixels to 110x110 pixels. Each face shot will be processed by selecting the region of the eyes and nose and saving it as an image file. The eye and nose will identify the face frame. Next, the photos will be converted to binary format. A magazine matrix will be used to transmit binary data from a minicomputer to a microcontroller via serial connection. Based on a known pattern, the resultant similarity accuracy is 83,08% for the eye and 84,09% for the sternum. In contrast, the similarity percentage for an eye ranges from 70% to 85% for an undefined pattern.
Pemantauan Kangkung di Dalam Showcase Hidroponik Cerdas Menggunakan Teknologi Internet of Things Exaudi, Kemahyanto; Prasetyo, Aditya P P; Sembiring, Sarmayanta; Sari, Komang Mita
Generic Vol 15 No 2 (2023): Vol 15, No 2 (2023)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v15i2.148

Abstract

Bercocok tanam menggunakan teknik hidroponik memberikan kontribusi baru bagi dunia pertanian terutama dalam penggunaan media air dan tidak membutuhkan lahan yang luas. Teknik ini telah banyak di implementasi sebagian masyarakat umum selain petani untuk budidaya sayuran segar di lingkungan rumahnya. Dengan menerapkan teknologi Internet of Things pada sistem hidroponik, pertumbuhan sayuran yang dibudidaya dapat dengan mudah di pantau dari jarak jauh menggunakan perangkat smartphone. Tujuan dari penelitian ini adalah membangun sistem pemantauan budidaya hidroponik yang diimplementasikan pada purwarupa smart showcase cerdas dan digunakan khusus didalam ruangan. Sistem pemantauan yang dirancang berbasis webserver dan menggunakan platfom IoT Thingsboard untuk visualisasi parameter berbasis grafik. Teknik mengumpulkan data secara online menggunakan google spreedsheet. Thingsboard sebagai user interface untuk memvisualisasikan parameter yang dipantau dalam bentuk grafik. Parameter yang dipantau adalah suhu, kelembapan didalam dan luar showcase dan kontrol lampu grow light sebagai pengganti intensitas cahaya matahari. Penelitian ini telah berhasil membuktikan bahwa pertumbuhan sayuran didalam showcase hidroponik cerdas dapat dipantau dari jarak jauh secara realtime. Pemantauan dilakukan selama ± 18 jam/hari dengan waktu pengambilan data selama 7 hari. Dalam proses pengambilan data terdapat error data 3.25% yang disebabkan koneksi internet terputus pada waktu yang berbeda-beda. Namun ini tidak menyebabkan kegagalan yang signifikan terhadap proses monitoring. Hal ini dibuktikan dengan 8 batang kangkung yang di uji, terdapat 4 batang yang mengalamai gagal tumbuh mulai dari hari ke 4 dan 4 batang lainya tumbuh dengan sempurna.
Perancangan Alat Penditeksi Kebakaran Menggunakan Sensor Api dan Sensor Asap Berbasis Internet of Things (IoT) Sembiring, Sarmayanta; Ubaya, Huda; Mileandira, Leviarta; Exaudi, Kemahyanto
Generic Vol 16 No 1 (2024): Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v16i1.180

Abstract

Telah dirancang sebuah sistem yang dapat menditeksi terjadinya kebakaran dengan menggunakan 2 buah sensor flame KY-026 dan 1 sensor asap MQ2. Output sistem ini adalah 2 buah LED, Buzzer, notifikasi berbasis Internet of Things menggunakan blynk app dengan pusat pengendali menggunakan mikrokontroler ESP32. Sensor flame KY-026 dapat mendeteksi berbahaya apabila nilai ADC kurang dari 130, cukup berbahaya <231, cukup aman>297, dan aman >330 dengan jarak minimal 0 cm dan maksimal 200 cm. Sensor MQ2 mendeteksi dengan nilai ADC lebih dari 650. Hasil pengujian menunjukkan sistem yang dirancang dapat bekerja sesuai dengan yang diinginkan dengan tingkat keberhasilan mencapai 100%, pada saat pengujian sebanyak 10 kali.
Control System for U-Arm Robot Arm Movement with Linear Gripper Based on Inverse Kinematic Method Prasetyo, Aditya Putra Perdana; Rahmatullah, Ikang; Exaudi, Kemahyanto; Rendyansyah, Rendyansyah
JITCE (Journal of Information Technology and Computer Engineering) Vol 8 No 2 (2024): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.97-103.2024

Abstract

This research presents the development of a U-Arm model robot with three degrees of freedom, utilizing Inverse Kinematic calculations. The novelty of this project lies in its precise control of the robot arm's movements through advanced kinematic algorithms. Inverse Kinematics is a mathematical process used to determine the joint angles of the robot arm from known (x, y, z) coordinates of the end-effector and the lengths of each link. The robotic arm consists of four links with lengths of 8.2 cm, 15 cm, 16 cm, and 18.4 cm, respectively, and is equipped with a gripping module for object manipulation. The methodology involves calculating the joint angles required for the desired end-effector position, ensuring accurate and efficient movement. Testing results indicate an average coordinate error of 7.13%, demonstrating the system's precision and reliability. This error rate provides valuable insights into the performance and potential areas for improvement in the kinematic model. Additionally, this research includes the development of a program to control the servo motor speed using For and delay functions. This program enhances the robot's operational efficiency by allowing precise speed adjustments, which are crucial for various applications. Overall, this study contributes to the field of robotics by offering a detailed analysis of kinematic control and program development for a multi-link robotic arm, highlighting its potential for practical applications.
Implementation of Fuzzy Method towards Hydroponic Smart Showcase Innovation Sembiring, Sarmayanta; Exaudi, Kemahyanto; Prasetyo, Aditya PP; Rendyansyah, Rendyansyah; Nadhira, Wardha
Emitor: Jurnal Teknik Elektro Vol 24, No 3: November 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i3.4043

Abstract

Hydroponics is a technique that allows easy cultivation of fresh and hygienic vegetables, even with limited space. Recent innovations in hydroponic development have resulted in a smart showcase prototype, which is controlled using Sugeno fuzzy techniques. This prototype uses a DC fan to maintain a stable temperature and humidity level. This invention is both ecologically friendly and portable, making it suitable for a wide range of users, including apartment residents. Experimental results using the fuzzy method show that this prototype can effectively support indoor hydroponic techniques, with fan rotation ranging from 180 to 255 rpm based on variations in room temperature and humidity. The showcase successfully maintained a stable temperature range of 28–30 °C and a humidity of 60–70% RH. In addition, out of 12 vegetable samples tested for 14 days, 7 kale stems showed significant growth. Overall, this smart showcase prototype offers the potential to bring hydroponics indoors and promote fresh vegetable cultivation.
Control System for U-Arm Robot Arm Movement with Linear Gripper Based on Inverse Kinematic Method Prasetyo, Aditya Putra Perdana; Rahmatullah, Ikang; Exaudi, Kemahyanto; Rendyansyah, Rendyansyah
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.97-103.2024

Abstract

This research presents the development of a U-Arm model robot with three degrees of freedom, utilizing Inverse Kinematic calculations. The novelty of this project lies in its precise control of the robot arm's movements through advanced kinematic algorithms. Inverse Kinematics is a mathematical process used to determine the joint angles of the robot arm from known (x, y, z) coordinates of the end-effector and the lengths of each link. The robotic arm consists of four links with lengths of 8.2 cm, 15 cm, 16 cm, and 18.4 cm, respectively, and is equipped with a gripping module for object manipulation. The methodology involves calculating the joint angles required for the desired end-effector position, ensuring accurate and efficient movement. Testing results indicate an average coordinate error of 7.13%, demonstrating the system's precision and reliability. This error rate provides valuable insights into the performance and potential areas for improvement in the kinematic model. Additionally, this research includes the development of a program to control the servo motor speed using For and delay functions. This program enhances the robot's operational efficiency by allowing precise speed adjustments, which are crucial for various applications. Overall, this study contributes to the field of robotics by offering a detailed analysis of kinematic control and program development for a multi-link robotic arm, highlighting its potential for practical applications.
Co-Authors Abdul Wahid Sempurna Abdul Wahid Sempurna Abdul Wahid Sempurna Abdurahman Abdurahman Adi Hermansyah, Adi Aditya P.P. Prasetyo Aditya PPP Aditya Putra Perdana Prasetyo Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Rifai Ahmad Rifai Ahmad Rifai Ahmad Zarkasi Ahmad Zarkasi Alif Almuqsit Almuqsit, Alif B Azhar, Iman Saladin Bagus Prasetyo Bangun Sudrajat Bangun Sudrajat Barzan Trio Putra Brema Alfaretz Tarigan Buchari, M. Ali Dedy Kurniawan Deris Stiawan Desyandri Desyandri Dody Firmansyah Dudifa, Aldi Duri, Ades Harafi Fadli Isnanto, Rahmat Fakhrurroja, Hanif Fatimah, Sayyidatina Fitriyanto, Megi Hadir Kaban Hanifah, Izzati Millah Huda Ubaya Huda Ubaya Huda Ubaya Ichsan Mahjud Jorena Jorena M. Dimas Firmansyah Mileandira, Leviarta Monica Ayu Amaria Muhammad Ajran Saputra Muhammad Furqon Rabbani Nabillah Selva Setiawan Nadhira, Wardha Osvari Arsalan P.P Prasetyo, Aditya Perdani, Tharisa Antya Pingki Pingki Prasetiyo, Bagus Prasetyo, Aditya P P Prasetyo, Aditya P.P. Prasetyo, Aditya PP Prasetyo, Aditya Putra Perdana Purwita Sari Purwita Sari Purwita Sari Purwita Sari, Purwita Purwoko, Agus Putra Perdana Prasetyo, Aditya R Rendyansyah Rahmad Fadli Isnanto Rahmat Budiarto Rahmat Fadli Isnanto Rahmat Fadli Isnanto Rahmatullah, Ikang Rendyansyah Rendyansyah Rendyansyah Rendyansyah Rendyansyah Ricy Firnando Rido Zulfahmi Riyuda, Rafki Sahasika Romadhona, Londa Arrahmando Rony, Zahara Tussoleha Rossi Passarella Roswitha Yemima Tiur Mediswati Sari, Komang Mita Sarmayanta Sembiring Sarmayanta Sembiring Sarmayanta Sembiring Sayyidatina Fatimah Sri Desy Siswanti Sri Desy Siswanti Sry Desy Siswanti Sukemi Sutarno Sutarno Sutarno Sutarno Tri Wanda Septian Tri Wanda Septian, Tri Wanda Vindriani, Marsella Wahyu Gunawan Winda Kurnia Sari