Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal JOIN (Jurnal Online Informatika) Journal of Community Development Jurnal PkM MIFTEK
Nurhidayanti, Shopi
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Melatih Cara Berfikir Komputasi Pada Siswa Sekolah Dasar dan Menengah di Kabupaten Garut Tresnawati, Dewi; Rostilawati, Detila; Latifah, Ayu; Satria, Eri; Mulyani, Asri; Rahayu, Sri; Fitriani, Leni; Cahyana, Rinda; Nurhidayanti, Shopi; Asyah, Cha Cha Nisya
Journal of Community Development Vol. 5 No. 2 (2024): December
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i2.1373

Abstract

Technological advances in the 21st century demand Computational Thinking skills that are increasingly important in the digital era. However, the application of Computational Thinking (CT) at the primary and secondary education levels in Garut Regency is still limited. This study aims to improve the understanding of CT among students in elementary schools, junior high schools, and vocational high schools through a training program that includes pre-test, interactive training, and post-test. The training method was designed according to the educational level of the participants, using Bebras questions to train CT skills. The pre-test results showed an average initial score of 47.19, while the post-test results increased by an average of 25.75 points to 72.94. The findings show that the training successfully improved participants' understanding of CT through a structured approach, including introduction of concepts through sample Bebras problems, practice problems, as well as a comprehensive question and answer session.
A Comparison of YOLOv8 Series Performance in Student Facial Expressions Detection on Online Learning Tresnawati, Dewi; Nurhidayanti, Shopi; Lestari, Nina
JOIN (Jurnal Online Informatika) Vol 10 No 1 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i1.1390

Abstract

Student engagement in online learning is an important factor that can affect learning outcomes. One indicator of engagement is facial expression. However, research on facial expression detection in online learning environments is still limited, especially in the use of the YOLOv8 algorithm. This study aims to compare the performance of several YOLOv8 variants, namely YOLOv8x, YOLOv8m, YOLOv8s, YOLOv8n, and YOLOv8l in recognizing six facial expressions: happy, sad, angry, surprised, afraid, and neutral. Student facial expression data was collected through the Moodle platform every 15 seconds during the learning process. All models were trained using 640x640 pixel images for 100 epochs to improve facial expression detection capabilities. The main contribution of this study is to provide a comprehensive analysis of the effectiveness of YOLOv8 in detecting student facial expressions, which can be used to improve the online learning experience. The evaluation results show that the YOLOv8s model has the best performance with the highest mAP of 0.840 and the fastest inference speed of 2.4 ms per image. YOLOv8m and YOLOv8x also performed well with mAP of 0.816 and 0.815, respectively. Although YOLOv8x had the slowest inference speed, it was superior in detecting fear, happiness, and sadness expressions with mAP above 0.9. YOLOv8n had mAP of 0.636, while YOLOv8l achieved mAP of 0.813 with an inference speed of 9.1 ms per image. This study shows that the YOLOv8 algorithm, especially YOLOv8s, can be an effective solution to analyze student engagement based on their facial expressions during online learning.
Literasi Digital Sebagai Peningkatan Pemahaman Masyarakat Dengan Door To Door dan Seminar Setiawan, Ridwan; Tata, Muhammad; Siedik, Nizar Khoerul Anam; Sundari, Ayu; Yulistiani, Sri; Nursifa, Fadia Siti; Nurhidayanti, Shopi; Rohayani, Siti; Azwardhi, Miftah Yuzar; Buchori, Nizar; Rifaldi, Muhammad; Saifurrahman, Saifurrahman; Putra, Raka Septyan; Ardiansyah, Rifky; Hakim, Lutfi Lukmanul; Ibrahim, Muhamad Faisal Juliana; Nugraha, Daffa; Nurhidayati, Salma; Agustin, Novi Yuliani; Ireland, Nova Audi
Jurnal PkM MIFTEK Vol 4 No 1 (2023): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.4-1.1321

Abstract

Digital literacy KKN activities in villages are an alternative choice offered by the Ministry of Communication and Informatics to tertiary institutions in order to accelerate development in villages and improve the quality of human resources in villages through digital use. The purpose of this service is to carry out digital literacy in the community as a support for the work program of the Ministry of Communication and Information with a minimum target of 500 literate people using the method of conducting seminars and door to door to residents directly. The results of the post test showed that the material was: Digitizing Culture and ICT, namely 94.00, from the Digital Citizenship material, it was 96.80 and from the material Getting to Know Digital Wallets, Marketplaces, and Transactions, it was 96.70.
Co-Authors Agustin, Novi Yuliani Ardiansyah, Rifky Asri Mulyani Asyah, Cha Cha Nisya Azwardhi, Miftah Yuzar Buchori, Nizar Dewi Tresnawati Eri Satria Hakim, Lutfi Lukmanul Ibrahim, Muhamad Faisal Juliana Ireland, Nova Audi Latifah, Ayu Leni Fitriani, Leni Lestari, Nina Nugraha, Daffa Nurhidayati, Salma Nursifa, Fadia Siti Putra, Raka Septyan Ridwan Setiawan Rifaldi, Muhammad Rinda Cahyana Rostilawati, Detila Saifurrahman, Saifurrahman Siedik, Nizar Khoerul Anam Siti Rohayani, Siti SRI RAHAYU Sundari, Ayu Tata, Muhammad Yulistiani, Sri