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All Journal Multitek Indonesia : Jurnal Ilmiah PELS (Procedia of Engineering and Life Science) Biner : Jurnal Ilmiah Informatika dan Komputer

Lukman Effendi

Universitas Darussalam Gontor

Author-ID : 4255805

Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 4 Documents Claim Missing Document

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Articles

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Raindrop Removal On A Single Image Using The Generative Adversarial Network Muhammad Rizal Muttaqin1; Oddy Virgantara Putra; Lukman Effendi
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

The presence of raindrops attached to the window glass or vehicle glass reduces visibility of the actual scene. The area covered by raindrops forms a round image and reflects light from the actual scene, this image is called Raindrop. In some cases, the camera's focus is blocked by Raindrop will result in a blurry image. The problem faced is that there is no actual landscape image, so to overcome this this research tries to adapt the research from Rui Qian and MaybeShewill-CV which uses the Generative Adversarial Network architecture, by adding the Raindrop and Groundtruh datasets from observations at Darussalam Gontor University. The purpose of this study is to remove raindrops from a single image. This is important to research because it provides updates and optimizes the results of previous research. This study shows the accuracy of PSNR 21.37 and SSIM 0.7561. The model managed to remove Raindrops from the image, but still couldn't match the Groundtruth image. Inability to handle raindrops due to lack of time to run a large number of epochs to produce PSNR values above 40 db and SSIM above 0.9. PSNR and SSIM values can continue to increase along with the addition of the dataset as well as the number of epoch training models carried out.

Implementation Of Augmented Reality Procedures For Prayer Using Marker-Based Tracking Method Adi Darmanto; Faisal Reza Pradhana; Dihin Muriyatmoko; Oddy Virgantara Putra; Lukman Effendi
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Prayer learning activities at PAS Baitul Qur'an Ponorogo Kindergarten have so far been carried out with face-to-face practice between teachers and students. However, the teachers teach the proper way of praying during the pandemic. This study aims to introduce Augmented Reality (AR) technology to teachers and children as a medium for learning to pray. From this research resulted in the application "Let's Learn Prayer" which contains guidance on how to pray and pray in the form of three-dimensional animation. In addition, this application is equipped with a card (marker) that represents each prayer movement. The animation of the prayer can move when the user does the marking. As a result, animations can appear on the smartphone screen. This application development stage uses Waterfall model steps and marker-based tracking. The use of AR applications for prayer learning can increase students' interest and understanding in implementing prayer movements

Co-Authors Adi Darmanto Deden Mauli Darajat Dihin Muriyatmoko, Dihin Ilyasa Azmi Muhammad Rizal Muttaqin1 Oddy Virgantara Putra Pradhana, Faisal Reza Sri Lestari Taufiqurrahman Taufiqurrahman Triana Harmini

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