PENERAPAN FLEX SENSOR PADA LENGAN ROBOT BERJARI PENGIKUT GERAK LENGAN MANUSIA BERBASIS MIKROKONTROLER

ABSTRACT APLICATION OF FLEX SENSOR ON FINGERED ROBOTIC ARM FOLLOWED HUMAN ARM MOTION BASED OF MICROCONTROLLER ANNISA Fingered robotic arm has been used in industry and used in terms of education. Designing fingered robot arm is divided into two parts, the human arm control part (Transmitter) and fingered Robotic Arm (Receiver). Fingered Robotic Arm based of microcontroller that used ATMega 32A on controller and ATTiny 2313 on robot, and use KYL 1020U as wireless tranmission media. Finger of robot is controlled by a flex sensor Spectra Symbols 4.5 inch Series SEN 08606 by utilizing the resistivity of the flex sensor. Flex Sensor is phisically flexible bend sensor so it can followed the movement of human finger motion. Resistance range of flex sensor around 10 KΩ – 40 KΩ. Flex sensor as fingered robotic arm controller has % error around 13% - 37,7%. Each increasing 1o bend of Flex Sensor will increas the resistivity 113 Ω . Increasing of resistance value to bend degree of flex sensor will be invertly proportional with the value of resistivity on Miniservo Motor HS-81, when resistivity on Flex Sensor increas, resistivity on motor will be decreas. Mechanical and Electronic balance design is required to produce the maximum performance of fingered robotic arm. Keyword : Flex Sensor, resistivity, fingered robotic arm, microcontroller, KYL 1020

KENDALI ROBOT MANIPULATOR DENGAN FLEX SENSOR MENGGUNAKAN METODE EXTREME LEARNING MACHINE UNTUK BERBAGAI JENIS GENGGAMAN SECARA WIRELESS

Bahaya pekerjaan adalah risiko penyakit atau kecelakaan yang bisa terjadi di tempat kerja, terutama pekerjaan yang bersentuhan secara langsung maupun tidak langsung dengan zat kimia. Lab kimia memiliki risiko bahaya pekerjaan yang berbahaya bagi keselamatan manusia. Hingga saat ini proses memindahkan tabung reaksi yang berisi zat kimia berbahaya masih dilakukan oleh manusia. Oleh sebab itu, robot manipulator diciptakan, namun pada kenyataannya gerakan jari pada robot manipulator masih terbatas pada gerakan jari menggenggam saja. Tujuan dari penelitian ini adalah meningkatkan fleksibilitas robot manipulator dengan menggunakan flex sensor sebagai pendeteksi gerakan jari, kemudian dikendalikan secara wireless. Penelitian ini menggunakan flex sensor sebagai pendeteksi gerakan pada jari, motor servo sebagai penggerak jari pada robot manipulator, ESP32 sebagai mikrokontroler dan pengendali jarak jauh. Dengan disertai metode extreme learning machine sebagai klasifikasi jenis gerakan jari. Klasifikasi gerakan jari berbasis flex sensor dengan metode Extreme Learning Machine bekerja sesuai dengan sistem yang telah direncanakan. Dari hasil pengujian dapat disimpulkan bahwa flex sensor dapat menggerakkan robot manipulator sesuai dengan gerakan setiap jari pada sarung tangan pengendali. Metode Extreme Learning Machine berhasil melakukan klasifikasi dengan hasil tingkat akurasi pengujian sebesar 73% dalam mengenali tiap jenis gerakan termasuk power grip dan precision grip. ESP32 mampu mengendalikan robot manipulator secara wireless dengan hasil pengujian robot manipulator bergerak dengan respond time sebesar kurang dari 1 detik dari sarung tangan pengendali. &nbsp

RANCANG BANGUN DUA LENGAN ROBOT BERJARI MENGGUNAKAN SENSOR FLEX SEBAGAI SENSOR GERAK PADA JARI TANGAN BERBASIS ARDUINO

Two-fingered arm robot is already manufactured and used in the automotive industry and electronics. The design of the two-fingered arm robot is divided into two parts, the controller on a human arm (Transmitter) and fingered arm robot (Receiver). Two-fingered arm robot uses an Arduino Mega 2560 on the controller arm (Transmitter) and fingered arm robot (Receiver). Media data transmission wireless at the transmitter and receiver using Bluetooth HC-05. Finger hand robot is controlled by Spectra Flex Sensor 4.5 inch Symbols Series SEN 08 606 by utilizing the resistance of Flex Sensor through degrees of curvature. Flex Sensor is a curvature sensor with a flexible physical which can follow the movement of a human finger. Range of flex sensor resistance from 10 KΩ until 35 KΩ. Changes resistance of Flex Sensor value is directly proportional to the degree of curvature given on the physical Flex Sensor. The value of curvature degree of Flex Sensor range from 0o until 180o. Flex Sensor as controller-fingered arm robot has a percentage (%) of measurement error from 6% until 11.4%. The resistance value from Flex Sensor will control the servo motor HS-81 which will move the fingers of the robot hand. Required balancing between mechanical and electronic design to produce the maximum performance of the two-fingered arm robot

Flex Sensors: Possibility of Detecting Improper Posture of a Runner’s Arm

According to sports coaches, the upper body posture is an important factor in running. This paper shows it is possible to detect an improper posture of a runner’s arm using a flex sensor. It does this by showing how accurately a flex sensor can describe an angle. It also shows in which location on the arm the sensor should be placed. Lastly, it is shown how the sensor performed in actual running exercises, although the accuracy during these runs was not calculated due to limited resources and time

APLIKASI SENSOR KELEMBABAN DAN FLEX SENSOR BERBASIS ARDUINO UNO UNTUK SISTEM PENDETEKSI LONGSOR

Early detection of landslides is very important to minimize the number of deaths. Technological developments allow humans to predict the signs of landslides more accurately, quickly, and scientifically. In this study, sensors were tested to measure landslide disaster parameters, namely humidity sensors to measure soil moisture and flex sensors to measure soil movement. The sensor is controlled using a microcontroller Arduino Uno. A functionality test was carried out to test the ability of the sensors. The functionality test was carried out using the unit testing method. The unit testing method is carried out by comparing the functional test results of each sensor to the expected response. The moisture sensor functionality test shows that the sensor is able to respond to changes in water content in the soil with changes in voltage. The linear equation resulting from the calibration of the humidity sensor is y = -0.126x + 2.666 with R2 = 0.871. The flex sensor functionality test shows that the sensor is able to detect soil movement in the presence of changes in voltage. The linear equation resulting from the flex sensor calibration is y = -2.861x + 2507 with R2 = 0.964. This shows that the humidity sensor and flex sensor are good enough to be applied in the design of a landslide detection system. &nbsp

Perkaitan di antara status sosioekonomi keluarga dengan Pencapaian akademik pelajar aliran teknikal

Selain daripada mengendalikan fungsi pendidikan, sekolah juga diberikan peranan bagi menyediakan tenaga mahir untuk memenuhi keperluan ekonomi negara. Sekolah aliran teknikal dilihat sebagai satu institusi khusus yang memainkan peranan tersebut. Namun begitu, terdapat pelbagai faktor yang boleh mempengaruhi pencapaian pelajar aliran teknikal ini. Tahap sosioekonomi keluarga telah dikenalpasti antara faktor yang boleh mempengaruhi pencapaian pelajar. Kajian ini dilakukan untuk mendapatkan perkaitan di antara tahap sosioekonomi keluarga seperti tahap pendidikan bapa, jumlah pendapatan dan saiz keluarga terhadap pencapaian akademik pelajar. Sampel kajian ini ialah pelajar-pelajar tingkatan 4 dan 5 yang menetap di asrama Sekolah Menengah Teknik Kuala Terengganu. Pelajar ini dipilih kerana mereka mendapat kemudahan dan persekitaran pembelajaran yang sama. Seramai 80 orang pelajar dalam jurusan teknikal dipilih secara rawak mudah. Keputusan kajian mendapati bahawa hanya saiz keluarga mempunyai korelasi yang tinggi berbanding tahap pencapaian akademik bapa dan jumlah pendapatan keluarga. Ini menunjukkan bahawa faktor saiz keluarga memberikan impak secara langsung kepada pencapaian pelajar walaupun mereka menetap di asrama yang menyediakan suasana dan kemudahan yang sama

Apnea Monitor Based on Bluetooth with Android Interface

Apnea monitor is a device that is used to give a warning if there is stop breathing. Stop breathing while sleeping is one form of obstructive sleep apnea. This cessation of breath cannot be underestimated, this is related to the main risk factors for health implications and increased cardiovascular disease and sudden death. The purpose of this study is to design an apnea monitor with the Android interface. This device allows the users to get how many times sleep apnea happens while sleeping and got data to analysis before continuing with a more expensive and advanced sleep test. This device used a flex sensor to detect the respiration rate, the sensor placed on the abdomen or belly so it can measure expand and deflate while breathing. The microcontroller uses an Arduino chip called AT-Mega328. Bluetooth HC-05 used to send respiration data to Android, MIT app inventor used for the android programmer, and on the android, there are plotting of respiration value and when the device detected apnea so the android also gives a warning to the user. Based on the results of testing and measurement then compare with another device, the results of the average% error were 3.61%. This apnea monitor design is portable but there are needs some improvement by using another sensor for detected respiration and using a module other than Bluetooth