Article Per Year (5 Year)
p-Index From 2021 - 2026
3.189
P-Index
This Author published in this journals
All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Jurnal Komputer Terapan INOVTEK Polbeng - Seri Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING EDUMATIC: Jurnal Pendidikan Informatika Journal of Innovation Information Technology and Application (JINITA) Jurnal Pengabdian Masyarakat Multidisiplin J-COSCIS : Journal of Computer Science Community Service JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Scientific Journal of Informatics
Wenda Novayani
Politeknik Caltex Riau
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Bahasa Inggris Santoso, Heni Rachmawati; Novayani, Wenda; Lestari, Indah; Putri, Afifah
Jurnal Komputer Terapan Vol 10 No 2 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i2.6431

Abstract

The Community Health Center Queue Management System is an Android and website-based online queuing system. The purpose of this research is to help Puskesmas Umban Sari who faces difficulty in managing patient queues. The main process handled by the system is registration and data recapitulation. The system has two queuing features that can be activated or not as needed, namely the priority queue and linear queue. The development method in this research is done by using the Rational Unified Process (RUP). The tests carried out are black box testing, usability testing, and performance testing. Based on the outcomes obtained from black box testing, it can be determined that the system is functioning very well. The Usability testing with a total of 50 respondents shows a score of 84%, which means that this system is quite satisfactory and useful for users. Whereas in performance testing, the Load Testing and Stress Testing processes were obtained by 67%, which means that the performance of this system is quite good when given heavy pressure and many users access simultaneously. The system successfully reduced waiting times and improved service efficiency.
ENHANCING STUDENTS’ LEARNING OUTCOMES IN CLASSICAL CRYPTOGRAPHY THROUGH INTERACTIVE 3D SIMULATIONS Novayani, Wenda; Alhuda, Iqbal
Jurnal Komputer Terapan Vol 10 No 2 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i2.6446

Abstract

Cryptography is the study of how to transform data or information into a form that is unreadable by others, thus ensuring the security of the data. Based on a questionnaire conducted among students of Politeknik Caltex Riau (PCR) who have studied classical cryptography, the Vigenere Cipher and Affine Cipher were found to be the most difficult algorithms to understand. This research aims to investigate the improvement in students' knowledge of classical cryptography through interactive 3D simulations. The experiment was conducted on 30 PCR students by comparing two learning groups: a control group (using textbooks) and an experimental group (using 3D simulations). The results showed that the average post-test score for the control group was 67.33 point, while the experimental group achieved an average score of 83.33 point. Thus, learning with 3D simulation media can serve as an effective alternative medium, with a confidence level of 95%, to enhance students' understanding of classical cryptography. Meanwhile, the satisfaction level indicates that 86.75% of students are satisfied with learning through interactive 3D simulation media. This indicates that the use of classical cryptography learning media through 3D simulations provides a significant improvement in student learning outcomes.
PENGEMBANGAN SISTEM INFORMASI CAGAR BUDAYA (SITARI) SEBAGAI UPAYA PELESTARIAN BUDAYA DI PROVINSI RIAU Dewi, Meilany; Novayani, Wenda; Rachmawati, Heni; Hidayat, Erzi; Zain, Muhammad Mahrus
Jurnal Komputer Terapan Vol 11 No 1 (2025): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v11i1.6495

Abstract

Awareness of the importance of cultural preservation should be a fundamental concern for every Indonesian citizen, particularly in the face of the rapid cultural influences brought about by globalization and advancements in internet technology. This is especially relevant for the people of Riau Province, which is rich in historical heritage and cultural diversity. The development of SITARI (Sistem Informasi Cagar Budaya Riau) represents a strategic initiative aimed at preserving the cultural assets of Riau Province through the facilitation of cultural heritage reporting, heritage data collection, and 360-degree virtual tours.During the development process, a Focus Group Discussion (FGD) was conducted involving representatives from relevant government agencies across the 12 regencies and municipalities in Riau Province. The objective was to identify existing challenges and gather input regarding system development needs. In parallel, a public survey was carried out to capture community perspectives on the difficulties faced in reporting suspected cultural heritage objects. The system was developed using the waterfall model approach. Evaluation results indicate that the SITARI application operates effectively and performs optimally without errors. It is deemed relevant in supporting cultural literacy, heritage preservation, and the promotion of tourism in Riau. The user interface and layout received positive feedback, indicating potential for further development. Notably, the 360-degree Virtual Tour feature was highly appreciated. The application also adheres to OWASP security standards, with minor low-risk vulnerabilities identified for future improvement.
Principal Component Analysis for Prediabetes Prediction using Extreme Gradient Boosting (XGBoost) Wardhani, Kartina Diah Kesuma; Novayani, Wenda
Scientific Journal of Informatics Vol. 11 No. 3: August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i3.13416

Abstract

Purpose: The purpose of this study is to increase the accuracy of the model used for prediabetes prediction. This study integrates Principal Component Analysis (PCA) for reducing the dimension of data with Extreme Gradient Boosting (XGBoost). The study contributes to providing a new alternative for prediabetes prediction in patients by reducing the complexity of the dataset with the aim of increasing the accuracy of the obtained model. PCA and XGBoost identify the best features that have the highest correlation with prediabetes so that they are expected to produce a better predictive model. Methods: This study utilizes published data sourced from the UCI Machine Learning Repository consisting of 520 records, 16 attributes and 1 label class. The dataset is data collected through direct questionnaires from patients in Sylhet, Bangladesh at the Sylhet Diabetes Hospital. The research method in this study consists of several stages, namely: Data Collection, Data Preprocessing, Dimension Reduction using PCA to reduce the complexity of dimensions in the dataset, Modeling using XGBoost to identify patterns used to predict prediabetes, and Model evaluation used to measure the performance of the resulting model using evaluation metrics such as accuracy, recall, precision and F1-Score. Result: The current study utilizes XGBoost with Principal Component Analysis for feature selection, resulting in 12 features and a model accuracy of 97.44. Novelty: The study's originality lies in applying PCA as a preprocessing step to enhance the performance of machine learning models by reducing data dimensionality and focusing on the most critical features. By demonstrating how PCA can improve the efficiency and accuracy of prediabetes prediction models, this research provides valuable insights to inform future studies and contribute to the development of more effective diagnostic tools for early detection and prevention of prediabetes.
Co-Authors Aida Kamila Akbar, Memen Akbar, Memen Alhuda, Iqbal Alim Syahbana, Yoada Anggy Trisnadoli Debi Gustian Fadli, Mardhiah Fandy Hidayat Galih Eka Budiansyah HENI RACHMAWATI Heni Rachmawati Heri Sasmita Heri Sasmita Hidayat, Erzi Indah Lestari, Indah Irvandy Hartono irwan hasbi Kartina Diah K. W. Mardhiah Fadhli Mardhiah Fadhli, Mardhiah memen akbar Muhammad mahrus zain Nurmalasari, Dini Purwantoro E.S.G.S, Sugeng Purwantoro, Sugeng Putri, Afifah Raviqa Sandra Putri Sasmita, Heri Sugeng Purwantoro E.S.G.S Sugeng Purwantoro E.S.G.S Sugeng Purwantoro ESGS Wardhani, Kartina Diah Kesuma Yoanda Alim Syahbana Yuli Fitrisia Yuli Fitrisia