Article Per Year (5 Year)
p-Index From 2019 - 2024
1.116
P-Index
This Author published in this journals
All Journal Elektron Jurnal Ilmiah Jurnal Teknik Elektro Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Engineering Literasi: Jurnal Pengabdian Masyarakat dan Inovasi
Ismail Ismail
Politeknik Negeri Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Komparasi Akurasi Global Posistion System (GPS) Receiver U-blox Neo-6M dan U-blox Neo-M8N pada Navigasi Quadcopter firdaus firdaus; Ismail Ismail
Elektron : Jurnal Ilmiah Volume 12 Nomor 1 Tahun 2020
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (630.015 KB) | DOI: 10.30630/eji.12.1.137

Abstract

Quadcopter UAV development is happening very rapidly. One of the most important in the navigation system is the hardware and software or the used algorithm. Improving the accuracy of Quadcopter positioning is one of the most popular topics in the UAV field. This position parameter is determined by the GPS module. GPS modules produce position and speed information with a high degree of precision, but these modules are vulnerable to interference. Thus, GPS signals are often lost. Moreover, GPS measurements also cannot meet the real-time requirements. Both GPS U-Blox variants, Neo-6M, and M8N become the main problem by testing which are more precise and consistent with the actual geographical position indicated by Google map. Data obtained from GPS receivers are parsed and converted to longitude and latitude coordinates by the ATmega328 IC microcontroller then combine with real-time data from RTC DS1370 and stored continuously in a 2 GB SD card. The transferred geographic coordinate data would be retrieved and converted to CSV format so that it can be plotted into a map. The test was conducted where the Neo-6M GPS receiver was carried out
Kontrol Motor Induksi 1 Fasa Menggunakan Raspberry Pi Junaidi Asrul; Yefriadi Yefriadi; Ismail Ismail; Efendi Muchtara; Miftahur Rizky; Vicky Hidayat
Jurnal Teknik Elektro Vol 9, No 1 (2020): Jurnal Teknik Elektro
Publisher : Situs resmi ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/JTE.2020.3133902

Abstract

Motor induksi paling banyak digunakan pada peralatan industri maupun pada peralatan rumah tangga, karena harganya relatif murah dan perawatannya juga lebih mudah, jika dibandingkan dengan jenis motor lainnya. Pada penelitian ini dilakukan suatu metoda penyalaan MOSFET (Switching MOSFET) menggunakan sebuah mini PC untuk mengontrol kecepatan dari motor induksi satu fasa. Mini PC merupakan suatu perangkat komputer dengan ukuran kecil yang memiliki sistem operasi tertentu. Salah satu perangkat mini PC adalah Raspberry Pi. Raspberry Pi memiliki fitur GPIO (general purpose input output) yang berfungsi sebagai port-port yang mengirimkan perintah sesuai instruksi atau program yang dibuat. Hasil pengujian menunjukkan mini PC sebagai pengontrol kecepatan motor induksi, dapat membuat berbagai variasi PWM (pulse width modulation) untuk penyalaan MOSFET, sehingga dapat diketahui performa dari motor induksi serta pengaruh kecepatannya terhadap variasi dari PWM yang diset pada Raspberry Pi.
The Generating Super Resolution of Thermal Image based on Deep Learning Ismail Ismail; Yefriadi Y; Yuhefizar Y; Fibriyanti; Zulka Hendri
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.82 KB) | DOI: 10.29207/resti.v6i2.3934

Abstract

The need for a high resolution to the thermal image is urgent and essential. The high resolution of the thermal image can give accurate information on the heat distribution map of the objects. The accurate heat distribution maps can give accurate temperature information. This accurate temperature measurement is used for measuring many objects such as electric motors, engines, the human body, and so on—this information is used to detect the anomalies of the object to find the damaged parts. The anomalies are considered damaged parts found in solar panels, agricultural fields, buildings, bridges, etc. As the super-resolution of thermal images is very important, generating them is compulsory. The camera for obtaining super-resolution thermal images is rare, not available in the common market. Furthermore, this kind of device is costly too. Therefore not all the users, such as farmers or technicians, can have them. In order to handle the problem, the proposed method has the purpose of generating super-resolution thermal images economically and is more accessible through the deep learning method. The dataset is taken from the solar panel. The results show that the proposed method can handle the low-resolution problem of thermal images.
The Smart Agriculture based on Reconstructed Thermal Image Ismail Ismail
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 01 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.01.8-13.2022

Abstract

The utilization of thermal image in supporting precision agriculture is tremendous nowadays. There are many applications of thermal images in agricultural fields, such as detecting crop water stress, monitoring of free-range rabbits, measuring of crop canopy temperature and so on. Furthermore, the importance of thermal camera became the urgent need of perform the smart agriculture. Otherwise, the price of thermal camera is very expensive todays. Then, this kind of camera is not easy to find in the market. Therefore, it makes the utilization of implementation thermal images difficult. In order to handle this problem, the proposed method intends to generate thermal image from visible images. Further, the thermal information concerning with the agriculture, especially the fertility of leaves in paddy fields and the water stress can be monitored. The proposed method uses deep learning architecture to learn the thermal and visible image dataset. It applies Generative Adversarial Network architecture. This GAN pre-trained model trained using 150 images of training dataset and tested using many images of testset. The obtained model is used for generating thermal images from visible images. The results show the constructed thermal image has high accuracy. The assessment metric uses SSIM and PSNR methods. Their indexes show that the results have the high accuracy. The visual assessment shows the reconstructed thermal images also have high precision. Finally, the constructed thermal images can be implemented in smart agriculture purposes.
Pengembangan Materi Gambar Teknik Melalui Software AutoCAD Dalam Bentuk Pelatihan Bagi Guru-guru di SMK 5 Padang yefriadi yefriadi; Ismail Ismail; Junaidi Asrul; Rahmi Berlianti; Roza Susanti
Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Vol 3 No 1 (2023)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/literasi.v3i1.963

Abstract

Studying and understanding technological developments is also one of the teacher's obligations. Today , as a teacher, it is necessary to utilize media or applications to improve the quality of learning. The development of information technology and computers is now taking place very quickly. Almost all fields of work and activities around us are always associated with systems connected to information technology and the use of computers. So that mastery of computer applications is absolutely necessary for anyone who wants to complete a field of work or activity more easily and quickly. The field of Engineering expertise is currently experiencing very rapid development, especially in the field of product design and design optimization. In the industrial world, the design process for a product no longer uses conventional methods, but uses a computer facility through a design and optimization software which is commonly referred to as CAD (Computer Aided Design). Multinational manufacturing companies have applied this technology and one of them is the AutoCAD application which can facilitate the creation of technical drawing learning. Mastery of the AutoCAD software application is very important for vocational students, especially to welcome global competition that can be used for engineering drawing. The current problem faced by teachers is how to install and run the AutoCAD application. AutoCAD is application software that is widely used in the domestic and foreign industrial world, so learning this application will provide many benefits for teachers and students, especially at SMK 5 Padang.
Co-Authors Anak Agung Gede Sugianthara Asrul, Junaidi Fibriyanti Miftahur Rizky Muchtara, Efendi Rahmi Berlianti Roza Susanti Vicky Hidayat Yefriadi Yefriadi Yuhefizar Yuhefizar Zulka Hendri