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Hasyim Asyari
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Progam Studi Teknik Elektro, Fakultas Teknik Universitas Muhammadiyah Surakarta Jl. Ahmad Yani, Pabelan, Kartasura, Surakarta 57162 Telp: 0271-717417 Ext.: 3223
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Emitor: Jurnal Teknik Elektro
Published by Universitas Muhammadiyah Surakarta
ISSN : 14118890     EISSN : 25414518     DOI : https://doi.org/10.23917/emitor
Core Subject : Engineering,
Engineering
Emitor: Jurnal Teknik Elektro merupakan jurnal ilmiah yang diterbitkan oleh Jurusan Teknik Elektro Fakultas Teknik Universitas Muhammadiyah Surakarta dengan tujuan sebagai media publikasi ilmiah di bidang ke-teknik elektro-an yang meliputi bidang Sistem Tenaga Listrik (STL), Sistem Isyarat dan Elektronika (SIE) yang meliputi Elektronika, Telekomunikasi, Komputasi, Kontrol, Instrumentasi, Elektronika Medis (biomedika) dan Sistem Komputer dan Informatika (SKI).
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 26 Documents
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Implementation of the Viola-Jones Algorithm for a Hand Sign Language Translation System Atik Novianti; Siti Nurul Muthiah; Asep Mulyana
Emitor: Jurnal Teknik Elektro Vol 24, No 2: July 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i2.3966

Abstract

People who speech impaired that uses body movements to deliver information. In everyday life, it is not uncommon for people with disabilities to communicate with normal people who do not understand the meaning of what is delivered. One example is when a speech-impaired person wants to order food at drive-thru service fast food restaurant, the seller must have special skills to understand what is being delivered. In this paper, we will discuss the application of the Viola Jones algorithm for hand gesture detection systems in drive-thru service fast food restaurant. The Viola Jones algorithm was proposed because the algorithm is the most famous and best choice of gesture classifier for detecting hands in real time based on the accuracy speed. The system is able to translate the given gestures, data enters Firebase as a real time database, sellers can find out the total shopping through the cashier application. The system cannot translate the gesture if the given hand is not completely in the specified area of the box. Based on testing on 10 different respondents, the system can detect hand gesture with an average system success of 92,01%.
Design and Development of a Body Fat Percentage Measurement System Using the Bioelectrical Impedance Analysis (BIA) Foot-to-Foot Method Febrian Ruciyanti; Budi Sumanto
Emitor: Jurnal Teknik Elektro Vol 24, No 2: July 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i2.4017

Abstract

A person's nutritional status is ideally determined based on a body composition assessment, which differentiates the fat mass and fat-free mass in a human body. Fat and fat-free mass can be calculated using a non-invasive method called bioelectrical impedance analysis (BIA). In this research, a body fat measurement system was designed using the BIA foot-to-foot method, which is also equipped with the automatic body mass and height measurements system using a load cell sensor and a ToF VL53L1X sensor. The BIA method is designed to flow a 0.4mA current with a frequency of 50kHz into the body using four electrodes through the object’s feet. Other parameters required in this system, such as age and gender, will be entered using the keypad. The computing and data processing process uses an Arduino Nano microcontroller and is displayed on the LCD. The system that has been designed is then compared with a similar measuring instrument, Mi Scale Body Composition 2. The results obtained in this study are: the average error value for measuring body weight is 0.43kg; the average error for measuring height is 1.13cm; the average error in measuring BMI is 0.32 kg/m2; and the average error in measuring body fat percentage is 3.25%.
Temperature Control for Seaweed Dryer Based on PID krisna mukti
Emitor: Jurnal Teknik Elektro Vol 24, No 2: July 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i2.4318

Abstract

Seaweed is a commodity that has great potential in terms of establishing small or medium scale community businesses which are usually referred to as SMEs. The first thing you need to know about cultivating seaweed is the drying process, which aims to reduce the water content of the seaweed. When drying seaweed, people still use the traditional method, namely drying it in the sun, which takes 2 to 3 days. During the rainy season, farmers have to take 3 to 5 days for good results. Apart from that, the work is still manual or traditional, namely drying seaweed which takes quite a long time. If the weather when harvesting seaweed is rainy season, it will cause losses to seaweed farmers. As an alternative, a PID-based seaweed temperature and humidity control device has been developed using a light bulb heater as a substitute for sunlight for the process of drying the seaweed. The DS18B20 sensor is used to measure temperature, which is then displayed on the LCD. The Arduino Uno microcontroller is used to control the seaweed drying tool. This seaweed dryer can speed up drying by utilizing the Arduino system to reduce humidity so that drying time is faster. The results obtained with this simple seaweed dryer can speed up the drying process to 1.5 to a maximum of 2 days and the quality of the dried seaweed is better because it is protected from surrounding dust and dirt. The result of this research is a seaweed dryer that can help farmers dry the results of their seaweed cultivation in any weather conditions with the hope of better results.
Sistem Pengontrol Suhu CNC Laser Cutting 40W dengan Modul TEC1-12706 Abidin Rohmatulloh; Muhammad Kusban
Emitor: Jurnal Teknik Elektro Vol 24, No 1: Maret 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i1.4365

Abstract

Pengontrolan suhu pada tabung laser CO2 sangat penting untuk menjaga kinerja tabung laser. Tabung laser sendiri menghasilkan energi berupa cahaya dan panas. Energi panas ini jika tidak dikendalikan akan berpotensi merusak tabung laser. Adanya sistem pengontrol suhu menggunakan modul TEC1-12706 sangat bermanfaat untuk menjaga kinerja laser. Modul ini termasuk dalam thermoelectric yang mampu merubah energi listrik menjadi energi panas atau dingin dan juga sebaliknya. Penggunaan modul TECI-12706 termasuk ramah lingkungan karena tidak memakai Freon sebagai bahan utamanya. Proses yang dilakukan yaitu mensirkulasikan air dari tabung menuju peltier untuk didinginkan dan dibawa lagi menuju tabung. Proses ini menggunakan dua sensor yaitu sensor suhu dan sensor waterflow. Kriteria yang harus dipenuhi yaitu suhu tidak boleh kurang dari 25 derajat celcius atau melebihi 35 derajat celcius. Selain itu, volume air yang mengalir juga tidak boleh kurang dari 20 liter per menit. Hasil percobaan sistem pengontrol suhu menggunakan peltier TEC1-12706 mampu menurunkan suhu saat laser sedang running dengan cara mendinginkan air sirkulasi pada tabung laser.
Perancangan dan Implementasi Sistem Pencuci dan Sterilisasi Tangan Berbasis Arduino Uno untuk Pencegahan Penularan COVID-19 Muhammad Akbar Raihan; Muhammad Kusban
Emitor: Jurnal Teknik Elektro Vol 24, No 1: Maret 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v24i1.4783

Abstract

Penyebaran COVID-19 dapat dicegah melalui tindakan pencegahan seperti mencuci tangan dan sterilisasi yang efektif. Maka penelitian ini memiliki tujuan dalam merancang dan membangun sistem otomatis untuk mencuci serta mensterilkan tangan berbasis Arduino uno sebagai upaya untuk mengurangi resiko penyebaran COVID-19. Sistem ini menggunakan sensor inframerah untuk mendeteksi hadirnya tangan dan memulai proses pencucian tangan secara otomatis, dimulai dari pemberian air terhadap tangan, kemudian mencemprotkan cairan sabun pada tangan yang sudah terdeteksi sensor yang berada di tempat sabun, dilanjutkan kembali dengan pemberian air untuk membilas sabun dan diakhiri dengan pengeringan tangan dengan blower udara dan sinar UV yang terpisah dari keran air dan tempat sabun. Pengujian dilakukan dengan mengukur waktu yang dibutuhkan untuk mencuci dan mensterilkan tangan, serta tingkat keberhasilan keberhasilan dalam mencapai standar sanitasi yang diharapkan. Hasil penelitian menunjukkan bahwa sistem ini efektif dalam mencuci dan mensterilkan tangan secara otomatis dengan waktu yang relatif cepat, serta dapat membantu mengurangi resiko penyebaran COVID-19 pada tempat umum seperti sekolah, kantor, dan tempat lainnya. Sensor terbaca mulai dari jarak 7cm sampai dengan jarak 1cm, dan debit air mencapai 1120 mL dalam 5 detik. Sabun dapat keluar jika aktif lebih dari 2 detik, dan akurasi sensor suhu mencapai 0,05%.
Design and Development of Object Detection Radar with IoT-Based Matlab Software Visualization Dias Khairul Ihsan Ihsan; Umi Fadlilah; Muhammad Kusban
Emitor: Jurnal Teknik Elektro Vol 24, No 2: July 2024
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

Radar is an abbreviation for Radio Detection and Ranging, which means an electromagnetic wave system that functions to detect, measure and map objects in the surroundings. So far, the development of radar technology has tended to focus on object detection without considering effective integration and connectivity. Therefore, this research aims to develop a radar that can detect, measure and differentiate between moving and stationary objects. This research does not only pay attention to the detection aspect, but also integrates Matlab R2022a for visualization, Internet of Things (IoT) for centralized connectivity and the Blynk mobile application to increase the efficiency of object monitoring. This research uses ultrasonic sensors and Passive Infra-Red (PIR) sensors, ultrasonic sensors to read distance parameters and PIR sensors to detect moving or stationary objects. The ultrasonic and PIR sensors will be controlled by the ESP32 and serve as a centralized connectivity system that will connect to a Web server and mobile devices, while the Matlab R2022a software will visualize the environment around the radar at a 180o angle and connect with Thingspeak and the PushBullet mobile application. The results of the test are compared with a standard measuring instrument, namely a meter. In this research analysis, error calculations are used to see the uncertainty value of the sensor readings used. Based on research, the ultrasonic sensor reading accuracy results were 98.99% and for the PIR sensor the sensor could read every test angle starting from 30, 60, 90 120 and 150 degree, however at angles 30 and 150 degree it had quite a long delay.

Page 3 of 3 | Total Record : 26

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