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Journal : International Journal of Computer and Information System (IJCIS)

Analysis of Final Exam Essay Answer Accuracy: The Role of Artificial Intelligence in Automatic Assessment Kriswibowo, Rony; Prayogo, Johan Suryo; Febriana, Rusina Widha; Setyawan, Agung Budi; Lieztyanto, Yeeryzkhe Githasari; Alia, Putri Ariatna
International Journal of Computer and Information System (IJCIS) Vol 5, No 4 (2024): IJCIS : Vol 5 - Issue 4 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i4.204

Abstract

The issues investigated in this research include the accuracy of artificial intelligence (AI) scoring of essay answers, the challenges of validity and fairness in automated scoring, as well as potential biases in the algorithms used, and how these affect academic assessment results compared to human scoring. The method used in this study consists of several systematic steps. First, data was collected by asking relevant questions to an artificial intelligence (AI) platform. After that, the questions are inputted into AI platforms such as Copilot, Gemini, and Blackbox AI. Next, the resulting answers are analyzed using machine learning algorithms and natural language processing (NLP) to ensure the quality and depth of analysis. The answer results are then tested to evaluate their accuracy and relevance to the context of the question asked. the analysis results are visualized in the form of graphs or tables. this research shows that artificial intelligence (AI) has great potential in the automated assessment of essay answers. The results showed that Copilot got the highest score of 63.4%, Gemini 50.5% and Blackbox.AI 56.9%. However, the answer accuracy results between each AI Platform are still below 70%, meaning that the answers from the AI platform are still far from expectations. The next research recommendation is to retest the AI Platform using other methods to get accurate and consistent results.
Evaluating Effective Social Media Marketing With Artificial Intelligence Using The AIDA Model Approach Alia, Putri Ariatna; Cahyono, Warna Agung; Shodikin, Mohamad; Meisyarani, Jihan Salsabila; Sani, Rosi Rijal; Kriswibowo, Rony
International Journal of Computer and Information System (IJCIS) Vol 5, No 4 (2024): IJCIS : Vol 5 - Issue 4 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i4.205

Abstract

The rapid growth of information and communication technology, especially social media, has significantly changed the marketing landscape. In the face of this challenge, companies are increasingly adopting marketing strategies through social media to reach their intended target markets. This research aims to analyze the effectiveness of Social Media Marketing by utilizing Artificial Intelligence, especially ChattGPT and applying the AIDA Model approach (Awareness, Interest, Desire, Action). This research methodology uses descriptive qualitative methods with data collection through virtual ethnography and interviews from the Babelubozz online store using the Instagram platform: @grosirhijabtermurahsidoarjo. Artificial intelligence algorithms to analyze interaction patterns and user responses. The AIDA (Awareness, Interest, Desire, Action) model. used as a basis for measuring the stages of consumer awareness, interest, desire, and action in the context of marketing through social media. The results of this analysis provide an in-depth understanding of how companies can improve the effectiveness of their marketing campaigns on social media by optimizing each stage of the AIDA Model. Therefore, the marketing and promotional content generated by ChatGPT is able to increase the effectiveness of social media marketing.
The Impact of Website Interactivity on Users’ Speed in Finding Information: Evidence from Indonesia’s Top 5 Universities Setyadi, Agung Teguh; Mufid, Mohammad Robihul; Alia, Putri Ariatna; Fahruddin, Agus; Kriswibowo, Rony
International Journal of Computer and Information System (IJCIS) Vol 6, No 3 (2025): IJCIS : Vol 6 - Issue 3 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i3.245

Abstract

University websites serve as primary sources of information for prospective students and the general public. This study aims to examine the relationship between website interactivity and the efficiency of information retrieval at five of the top ten Indonesian universities according to the QS World University Rankings 2025: ITB, UGM, IPB, ITS, and UI. A total of 30 participants from various universities in Surabaya were asked to complete three types of information search tasks on two different university websites. The time taken to complete each task was recorded using a stopwatch. After completing the tasks, participants completed a questionnaire evaluating their perceptions of the websites' interactivity and ease of use. A Two-Way ANOVA revealed significant effects of university website, task type, and their interaction on task completion time. The findings highlight the crucial role of website structure and interactivity in enhancing users’ efficiency when searching for information. A significant interaction effect was found between website interactivity and task completion time (F = 4.395, p < .05).