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All Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi Aktual : Jurnal Pengabdian Kepada Masyarakat
Dewi , Deshinta Arrova
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Computer Science & IT Education Engineering Environmental Science Public Health

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Robotics Workshop to Increase Motivation and Science Literacy of SMP IT Khairu Ummah Rejang Lebong Students Mayub, Afrizal; Firdaus, M. Lutfi; Fahmizal, Fahmizal; Ruyani, Aceng; Lazfihma, Lazfihma; Dewi , Deshinta Arrova
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2025): Aktual: Jurnal Pengabdian Kepada Masyarakat January 2025
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v3i1.347

Abstract

This activity aims to Increase the Motivation and Science Literacy of SMP IT Khairu Ummah Rejang Lebong Students. This activity is one form of implementing the tridharma of higher education. One of the tri dharmas of higher education is community service, this service activity is an activity that every lecturer must carry out, therefore lecturers in the Master of Science program at Bengkulu University collaborated with IT SMP teacher Khairu Ummah Rejang Lebong Bengkulu on September 28, 2024, to carry out service activities at SMP IT Khairu Ummah Rejang Lebong. This collaboration takes the form of community service activities at SMP IT Khairu Ummah Rejang Lebong Bengkulu with the title "Robotics Workshop to Increase Motivation and Science Literacy of SMP IT Khairu Ummah Rejang Lebong Students". From these activities, it can be concluded that the teaching material delivered at the Robotics Workshop uses interactive multimedia which includes lectures, virtual demos, animations, visualizations, simulations and videos which have proven successful in motivating students in the motivated category with a score of 3.84 and increasing scientific literacy in the high category with a score of 3.93.
Data Augmentation of Sperm Images Using Generative Adversarial Networks (WGAN-GP) Diyasa, I Gede Susrama Mas; Kuswardhani , Hajjar Ayu Cahyani; Idhom, Mohammad; Riyantoko, Prismahardi Aji; Dewi , Deshinta Arrova
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 12 No 1 (2026): January (In Progress)
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v12i1.5954

Abstract

This study analyzes the use of WGAN-GP for data augmentation in the analysis of sperm morphology. WGAN-GP has been the focus in this study for generating sperm microscopy images, which in turn aims to mitigate the problem of data scarcity in medical imaging. A heterogeneous dataset with mixed object categories was initially employed, leading to an FID score of 134, which in turn reflected a high incidence of mode collapse. For this reason, the dataset was divided into subcategories of Normal, Abnormal, and Non-Sperm identifications, with the scores of the subcategories being 59.19, 74.92, and 83.56, respectively, and showing better balanced model stability. This study's primary contribution is the use of WGAN-GP for the first time for sperm image data augmentation and the generation of more realistic synthetic images. Furthermore, this study illustrates the first understanding of the intricacies of data distribution's complexity and its effect on the model's performance, indicating the possibility of improvement using class-based techniques and sophisticated architectures for the generator. The innovation of this study is the application of WGAN-GP to sperm morphology datasets, improving image quality and the stability of the results, coupled with extensive model performance analysis and providing a further understanding of the field of medical image data augmentation.
Co-Authors ACENG RUYANI Diyasa, I Gede Susrama Mas Fahmizal, Fahmizal idhom, Mohammad Kuswardhani , Hajjar Ayu Cahyani Lazfihma, Lazfihma M. Lutfi Firdaus, M. Lutfi Mayub, Afrizal Riyantoko, Prismahardi Aji