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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika
Priswanto, Budi
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Computer Science & IT

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CycleGAN and SRGAN to Enrich the Dataset Priswanto, Budi; Santoso, Handri
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11384

Abstract

When developments in the field of computer science are growing rapidly. For example, the development of image or video predictions for various fields has been widely applied to assist further processes. The field of computer vision has created many ideas about processing using deep learning algorithms. Sometimes the problem with using deep learning or machine learning is in the availability of the dataset or the unavailability of the dataset. Various methods are used to add to or enrich the dataset. One way is to add an image dataset by creating a synthetic image. One of the well-known algorithms is Generative Adversarial Networks as an algorithm for generating synthetic images. Currently, there are many variations of the GAN to around 500 variants. This research is to utilize the Cycle GAN architecture in order to enrich the dataset. By doing GAN as a synthetic image generator. This is very important in procuring image datasets, for training and testing models of Deep Learning algorithms such as Convolutional Neural Networks. In addition, the use of synthetic images produces a deep learning model to avoid overfitting. One of the causes of the overfitting problem is the lack of datasets. There are many ways to add image datasets, by cropping, continuously rotating 90 degrees, 180 degrees. The reason for using Cycle Generative Adversarial Networks is because this method is not as complicated as other GANs, but also not as simple. Cycle GAN synthetic images are processed with Super Resolution GAN, which aims to clarify image quality. So that it produces a different image and good image quality.   
Fall Detection using Sensors on a Smartphone Priswanto, Budi; Haryono, Haryono
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11403

Abstract

A work accident on a technician causes injury. When doing work, even though the technician is equipped with work safety, there are still factors that can cause accidents intentionally or unintentionally. The development of technology is now more advanced. Now the industrial revolution has reached the era of 4.0. Its progress is accompanied by information technology that is growing very rapidly. Many internets of things devices can already be used in everyday life. In today's life, the use of IoT devices has become a habit of today's modern society. For example, to travel using public transportation, there are many mobile apps that are connected to transportation providers. Including trade, the number of marketplaces has caused the growth of smartphones to be very fast. Smartphones are now equipped with many sensors, ranging from GPS sensors, wi-fi sensors, temperature sensors, and various sensors. Often the technicians in charge of climbing towers or heights are never caught by management or project leaders. Even though this causes losses both losses for technicians and losses for management. Therefore, how to monitor the technicians to be careful in carrying out their duties. Android smartphone devices have many sensors. Sensors in Android are used as a fall detection tool. By using Android sensors, the use of Internet of Thing sensors on smartphones will produce very useful monitoring tools. The use of Flutter framework as a medium for utilizing the accelerometer sensor and gyroscope sensor as a fall detection tool. This study aims to create a prototype of a fall detection application system.
Co-Authors Haryono Haryono Santoso, Handri