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All Journal Journal of Informatics and Computer Science (JINACS) Modem : Jurnal Informatika dan Sains Teknologi Journal of Emerging Information Systems and Business Intelligence (JEISBI) Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
I Kadek Dwi Nuryana
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science

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A Comparative Analysis Opinion Mining Sea Games On Social Media Lathifatuz zuhroh; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.66875

Abstract

Twitter is a social media platform that is freely accessible to everyone. As a result, numerous social phenomena and issues quickly emerge and spread globally through users' tweets. The 2023 SEA Games in Cambodia was no exception, as it sparked public opinion, particularly among Indonesian citizens, due to several incidents during the event that were considered unethical or inappropriate. This study aims to analyze public sentiment regarding these events using the C5.0 and Naïve Bayes algorithms. The performance of both algorithms will be compared to determine which one yields better results. The dataset consists of 1,000 tweets collected between March 14 and April 14, 2023. The findings indicate that Naïve Bayes outperforms C5.0, achieving an accuracy of 70%, compared to 67% for C5.0 . Keyword: Twitter, Sentiment Analysis, Naïve Bayes, C5.0, Sea Games.
Broiler Chicken Meat Production Process Modeling at UD. Hari Ayam Using the Business Process Model and Notation (BPMN) Method Elwino Alif Ramadhan Elwino; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.69788

Abstract

Hari Ayam is a business that has been operating since 1988 and currently produces around 100–150 kilograms of chicken meat per day. The production process covers everything from processing to distribution to customers. However, the business faces several challenges, particularly the lack of clear and standardized documentation of its business processes. This issue makes it difficult to objectively assess performance or improve efficiency. In addition, the entire operation still relies heavily on the owner, resulting in a high workload and a lack of optimal task delegation. The absence of proper records related to transactions, production, income, and expenses further complicates the overall management of the business. This study aims to apply the Business Process Model and Notation (BPMN) method using the Bizagi application to map out the chicken meat production process at UD. Hari Ayam. The research focuses on the production and distribution stages and is limited to the design phase of the business process lifecycle. Through evaluation and simulation, the study is expected to provide a more efficient and structured view of the business processes. The results are intended to offer practical input for the business owner to improve workflow, enhance operational efficiency, and facilitate better oversight in support of the company’s future development.
Evaluating User Acceptance of KAI Access: A Comparison of TAM and UTAUT Deafitria Putri Susanto; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.70116

Abstract

This study aims to analyze and compare two technology acceptance models Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) in measuring user acceptance of the KAI Access mobile application in Surabaya. The research adopts a quantitative approach, using questionnaires distributed to 200 active users of the KAI Access app. Data were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM) with SmartPLS software. Results show that all variables in the TAM model significantly influence behavioral intention, particularly perceived usefulness and perceived ease of use. Meanwhile, in the UTAUT model, only effort expectancy and facilitating conditions have a significant effect. The R-square and Q-square values indicate that TAM has stronger predictive capability than UTAUT in this context. These findings offer useful insights for improving the KAI Access application and can serve as a reference for future research on technology acceptance in public digital services.
Co-Authors Achmad Mauludi Asror Alda Maretina Iranti Alfi Azqia Uzzulfa Haq Alinda Ayu Prameswari Arzaqi, Siftiyan Balqist Naurah Salsabilah Darisva Prismala Deafitria Putri Susanto Dewi Kumala Sari Dicky Alnazarul Dinda Kartikasari Elwino Alif Ramadhan Elwino Eugenea Chiquita Zahrani Assyarif Kistofer, Terdy Lathifatuz zuhroh M Wildan Kafafi M. Renaldi Wildan F Moch. Faisal Mochamad Muzayyid Al Hakim Muhammad Fatkhur Rizal Muhammad Rafi Atha Nur Rahmatullah Mujianto, Ahmad Heru Sherlyani Puspita Dewi Tanhella Zein Vitadiar Wilda Yefi Chlarasasti Zakaria Nur Abidin Zidan Rohmadianto