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Sistem Perekam Detak Jantung Berbasis Internet Of Things (IoT) dengan Menggunakan Pulse Heart Rate Sensor Adi Hermansyah; Reska Hardiyanti; Aditya Putra Perdana Prasetyo
JTEV (Jurnal Teknik Elektro dan Vokasional) Vol 8, No 2 (2022): JTEV (Jurnal Teknik Elektro dan Vokasional)
Publisher : Universitas Negeri Padang

Heart rate is a very vital part for the human body, if the heart rate exceeds the maximum limit it will be very dangerous for the body. So we need a heart rate recorder that can store data from the recorded heart rate in order to make it easier to control health. This study aims to test the heart rate recording system with a comparison of a factory-made device, namely an oximeter. This research starts from creating a framework stage that will outline the sequence to be carried out. Heart rate increased after exercise, which was 114.4 bpm compared to 90.8 bpm when eating and relaxing to 66.6 bpm. The results of the data obtained from the test are 60% (3 out of 5 people) who have the same heart rate either using a device or using an oximeter. The average accuracy value of the heart rate recording system when compared to the oximeter is relatively small, namely 1-2 bpm.

Pergerakan Robot Lengan Pengambil Objek Dengan Sistem Perekam Gerak Berbasis Komputer R Rendyansyah; Aditya P. P. Prasetyo; Kemahyanto Exaudi; Sarmayanta Sembiring; Brema Alfaretz Tarigan; Monica Ayu Amaria
JTEV (Jurnal Teknik Elektro dan Vokasional) Vol 8, No 2 (2022): JTEV (Jurnal Teknik Elektro dan Vokasional)
Publisher : Universitas Negeri Padang

Teknologi robot telah digunakan dalam bidang otomasi industri, medis, pertanian, dan lain-lain. Umumnya robot terdiri dari dua tipe yaitu mobile dan non-mobile. Robot tipe mobile dapat berpindah dari satu posisi menuju ke posisi lain, sedangkan robot tipe non-mobile bersifat statis pada basis. Salah satu contoh dari robot tipe non-mobileialah berbentuk manipulator atau lengan. Pada penelitian ini dirancang lengan robot dengan sistem perekem gerak dalam mengambil objek. Lengan robot ini memiliki empat derajat kebebasan (4 Degree of Freedom). Prototype robot ini telah dilengkapi dengan gripper untuk mengambil objek. Adapun sistem kendali pada robot menggunakan sistem perekam koordinat yang ter-program di dalam Komputer menggunakan Cubic Trajectory. Percobaan robot lengan dilakukan di Laboratorium, dan objek menyesuaikan keadaan robot. Robot tersebut dikendalikan oleh program komputer berdasarkan pergerakan yang diinginkan, setelah itu komputer memberikan perintah kepada motor servo pada setiap joint. Adapun hasil percobaan menunjukkan bahwa robot lengan dapat dikendalikan secara manual oleh operator menggunakan komputer,Robot juga mampu ber-navigasi (pergerakan) otomatis berdasarkan rekam gerak yang ditentukan oleh operator.

Sistem Pemilah Sampah Organik Berbasis Raspberry Pi Menggunakan Klasifikasi CNN Aditya Putra Perdana Prasetyo
SISFOTENIKA Vol 13, No 1 (2023): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v13i1.1340

Projek ini bertujuan untuk melakukan pengecekan dan pengaturan pada Raspberry Pi 3 Model B+, Melakukan pengecekan dan pengaturan pada kamera Raspberry Pi Camera Rev 1.3 dan pengujian klasifikasi menggunakan Convolutional Neural Network atau CNN untuk mengetahui hasil prediksi sesuai dengan gambar yang ditampilkan. Metode penelitian pada projek ini menggunakan metode Forward Engineering. Metode ini membagi menjadi tahapan menjadi beberapa bagian dimulai dari studi literatur hingga pengujian projek dan analisa data projek.Raspberry Pi 3 Model B+ dan Raspberry Pi Camera Rev 1.3 yang telah ditur siap digunakan untuk melakukan proses pengambilan gambar pada objek-objek yang akan diklasifikasikan. Setelah dilakukan pengujian didapatkan hasil pengujian dengan rentang prediksi benar adalah 66% atau 33 gambar dan 34% atau 17 gambar dengan prediksi salah.

Voice Command Recognition for Movement Control of a 4-DoF Robot Arm Rendyansyah Rendyansyah; Aditya P. P. Prasetyo; Sarmayanta Sembiring
ELKHA : Jurnal Teknik Elektro Vol. 14 No. 2 October 2022
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v14i2.57556

Robots are widely used in industry. Robots generally have a control system or intelligence embedded in the processor. The robots consist of mobile mode, manipulator, and their combination. Mobile robots usually use wheels, and manipulator robots have limited degrees of freedom. Both have their respective advantages. Mobile robots are widely applied to environments with flat floor surfaces. The manipulator robots are applied to a static environment to produce, print, and cut material. In this study, the robot arm 4 Degree of Freedom (DoF) is integrated with a computer. The computer controls the whole system, where the operator can control the Robot based on voice commands. The operator's voice is one person only with different intonations. Voice command recognition uses the Mel-Frequency Cepstral Coefficients (MFCC) and Artificial Neural Networks (ANN) methods. The MFCC and ANN programs are processed in the computer, and the program output is sent to the Robot via serial communication. There are nine types of voice commands with different MFCC patterns. ANN training data for each command is 10 data, so the total becomes 90. In this experiment, the Robot can move according to voice commands given by the operator. Tests for each voice command are ten experiments, so the total experiment is 90 times with a success rate of 94%. There is only one operator, and experiments have not yet been carried out with the voices of several operators. The error occurred because there were several similar patterns during system testing.

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

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.

Application of Template Matching on Hand Gestures for Movement Control of a 4-DoF Robotic Arm Rendyansyah Rendyansyah; Aditya P.P. Prasetyo; Kemahyanto Exaudi; Sarmayanta Sembiring
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 3 (2023): Jurnal Fokus Elektroda Vol 8 No 3 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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

Humans are very dependent on technology to lighten their work in various fields. One robotics technology that is often applied is in industrial and medical areas. Robotics is a machine that can work automatically or receive instructions from the operator. In general, the application of robots in the industry provides advantages in terms of time and production results. One example of robots in Industry is Robotic Arms, such as medical robots, assembling, welding, picking up and moving objects, and others. In this study, the robot arm has freedom within 4-DoF, and the robot is controlled based on hand gestures using the Template Matching method. The robotic arm navigates based on hand gestures captured by the camera and then processed in the computer. The object used is adjusted to the experimental instrument. The experimental results show that the arm robot 4-DoF can move based on commands from hand gestures with a success rate of 90%.

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

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

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.

Prototype of Automatic Control System for Water Temperature and Acidity in Ornamental Fish Aquarium Based on Internet of Things (IOT) Adi Hermansyah; Tri Wanda Septian; Aditya Putra Perdana P; Mgs Muhammad Faris
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 3 (2023): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.272

The prototype application of an automatic control system in an Internet Of Things-based aquarium using DS18B20 and PH-4502C temperature sensors using the NodeMCU ESP 8266 microcontroller is a system that can regulate the temperature and pH of water automatically which is applied to a small aquarium. This technological advancement is very helpful for people who have busy daily lives who do not have time or cannot check the condition of the fish in their aquarium. To see the condition of ornamental fish aquarium can be checked from mobile phone through blynk application. Monitoring using the blynk application can be done anywhere as long as the device is always connected to the internet.

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

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.

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