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All Journal International Journal of Evaluation and Research in Education (IJERE) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Adi Widya : Jurnal Pengabdian Masyarakat JMM (Jurnal Masyarakat Mandiri) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Community Empowerment Prima Abdika: Jurnal Pengabdian Masyarakat ABDIKOM Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Computing Innovations and Emerging Technologies
Artika Arista
Universitas Pembangunan Nasional Veteran Jakarta, Indonesia
Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Text Mining for News Forecasting on The Turnback Hoax Website Wirawan, Rio; Krisnanik, Erly; Arista, Artika
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1939

Abstract

News has been disseminated swiftly via the internet due to the rapid growth of information technology. The rapid spreading of news often confuses because the truth cannot be ascertained. Additionally, online social media is becoming increasingly popular, making it an excellent environment for propagating false information, including misinformation, phony reviews, advertising, rumors, political remarks, innuendo, etc. This study's specific goal is to classify data using a data mining approach model called text mining so that a system can automatically do the classification. As a result, the study will produce a dataset, which can then be used to create an application using data mining's ability to predict breaking news. An application was produced by employing data mining to forecast recent news. This study was able to classify data using a naive Bayes data mining approach model so that a system can automatically do the classification. The study produced an accuracy of 77% obtained with training data of 82%. From 994 contents, the classification of misleading content reached 33.9%, false content as many as 24.85%, imitation content was 13.48%, fake content reached 11.07%, manipulated content was 9.86%, parody content was 3.22%, satire content was 2.31%, and connection content as many as 1.31%. This study then visualizes the results using bar charts and word clouds. This work also produced datasets with the naïve Bayes method of news data and news that has been valid. Afterward, the dataset will be used in making applications to produce prototypes of computer program applications.
Evaluating Behavior-Driven Metrics in Gamified Hybrid Environments: A Structural Analysis Approach Henka Bayu Seta; Zatin Niqotaini; Sarika Afrizal; Theresiawati; Artika Arista; Rapolo Joshua Napitupulu; Muhammad Ibrahim Al Farisi
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i3.2499

Abstract

Despite the widespread adoption of gamification in higher education, a significant research gap remains regarding the structural pathways through which specific game elements influence psychological drivers and academic success in hybrid settings. This study addresses this by evaluating the impact of badges, points, progress bars, and leaderboards on student motivation and outcomes using a quantitative approach with a sample of 437 university students in Indonesia. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), revealing that the model possesses strong internal consistency and convergent validity, with factor loadings between 0.760–0.956 and Average Variance Extracted (AVE) values ranging from 0.687 to 0.872. The structural analysis confirms that badges act as a primary driver for perceived playfulness and the effectiveness of other elements, while leaderboards and progress bars significantly enhance learning satisfaction; however, points showed no significant impact on playfulness. These findings, evidenced by significant path coefficients (β) and robust R² values, provide an analytical framework for educators to strategically design gamified ecosystems that prioritize high-impact behavioral metrics over simple reward systems, thereby optimizing engagement in blended learning environments. 
An Analysis of the Impact of Zoom on Online Learning Using the Technology Acceptance Model Zatin Niqotaini; Budiman Budiman; Fahreja Ramadhan; Artika Arista; Esa Prakasa; Arafat Febriandirza; Nur Alamsyah; Rezza Novian Noor Rochmat; Henki Bayu Seta
Journal of Computing Innovations and Emerging Technologies Vol. 2 No. 1 (2026): Volume 2 No 1
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v2i1.30

Abstract

This study aims to analyze the effect of using the ZOOM application at the University of Informatics and Business Indonesia (UNIBI) using the Technology Acceptance Model (TAM) approach, which is often used by some researchers to examine user acceptance of technology. This research is quantitative using descriptive method. The data analysis technique was carried out using SEM (Structural Equation Model) with AMOS (Analysis of Moment Structure) software. The population in this study were UNIBI students. Determination of the sample is carried out by proportional sampling, which is a proportional sampling method based on sub-populations. The results of this study prove that only 4 hypotheses are accepted from a total of 6 hypotheses proposed. The following is the percentage of the influence of each variable: a) Perceived Ease of Use (PEOU) is 28%, b) Perceived Usefulness (PU) is 74%, c) Attitude Toward Using (ATU) is 57%, d) Behavioral Intention to Use (BITU) is 65%, and e) Actual system usage (AU) is 75%. This proves that the use of the ZOOM application as an online learning medium cannot be fully explained by the Technology Acceptance Model.
Evaluation of Learning Management System for Users with Accessibility Needs Using Extended Technology Acceptance Model (E-TAM) Zatin Niqotaini; Henki Bayu Seta; Theresiawati; Dwi Vernanda; Artika Arista; Muhammad ibrahim Al Farisi; Rapolo Joshua Napitupulu
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2495

Abstract

Inclusive education aims to provide equal learning opportunities for students with special needs, including the use of a Learning Management System (LMS). The urgency of this research stems from the significant challenges in LMS accessibility, which pose major obstacles for students with disabilities. These challenges include difficult navigation, a lack of screen reader features, and unfriendly interface design. The objectives of the research are to identify and evaluate the factors of LMS acceptance by students with disabilities and provide recommendations. The method uses the Extended Technology Acceptance Model (E-TAM) to identify factors influencing the acceptance of LMS by students with disabilities, such as perceived usefulness, perceived ease of use, and external factors. The findings indicate that System Quality (SQ) has no significant influence on Attitude Toward Using (AT), with the estimated effect size being 1.4%. As an implication, the institutions need to provide easy-to-follow guides to help users with disabilities.
Co-Authors Abdullah, Engku Fadzli Hasan Syed Anita Muliawati Arafat Febriandirza Bahtiar Saleh Abbas Budiman Dwi Vernanda Erly Krisnanik Ermatita - Ernawati, Iin Esa Prakasa Fahreja Ramadhan Henka Bayu Seta Henki Bayu Seta Henki Bayu Seta Ika Nurlaili Isnainiyah Ika Nurlaili Isnainiyah Khairun Nisa Meiah Ngafidin Kraugusteeliana Kraugusteeliana Matondang, Nurhafifah Muhammad Eka Purbaya Muhammad Ibrahim Al Farisi Niqotaini, Zatin Noor Falih Nur Alamsyah Rapolo Joshua Napitupulu Rapolo Joshua Napitupulu Rezza Novian Noor Rochmat Rona Nisa Sofia Amriza Rudhy Ho Rudhy Ho Purabaya Rudhy Ho Purabaya Ruth Mariana Bunga Wadu Sarika Afrizal Sarika Sarika Theresiawati Theresiawati Theresiawati Tjahjanto, Tjahjanto Tri Rahayu Wirawan, Rio Zaidiah, Ati