Garuda - Garba Rujukan Digital

Optimizing Academic Information Delivery: A Hybrid AI Chatbot Model Andika Isma; Fatimah Nur Arifah; Arief Zikry; Muhammad Bitrayoga; Eri Mardiani
Jurnal MediaTIK Volume 7 Issue 1, Januari (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

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This research investigates the implementation of artificial intelligence (AI)-based chatbots in a hybrid model in Computer Science and Computer Engineering departments. The research method used was an online survey of students, providing direct insight from key users of this technology. The findings show significant adoption of AI chatbots in this academic environment, indicating good acceptance from users. The research results provide an in-depth understanding of the extent to which chatbots have been implemented in facilitating the reception of information in the department. AI chatbots have been proven to make a positive contribution in optimizing the process of receiving information, providing fast and accurate answers to students' common questions. The conclusions of this study underscore the potential of chatbots to improve the overall quality of academic services.

Analisis Penggunaan AI dalam Keberhasilan Customer Experience Pengguna Aplikasi E-Commerce Shopee Zikry, Arief; Muhammad Bitrayoga; Siska Yulia Defitri; Akhmad Dahlan; Nina Dwi Putriani
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 3 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i3.1387

E-commerce has experienced rapid growth with the adoption of digital technology particularly in Southeast Asia. AI enables Shopee to provide personalized product recommendations, responsive customer service, and secure shopping experiences. This study analyzes the use of Artificial Intelligence (AI) technology in enhancing user experience on the Shopee e-commerce platform. The research employs a mixed-method approach involving 400 Shopee users in Indonesia. Product recommendation and user experience personalization both significantly increase user satisfaction. User experience personalization has a greater influence than product recommendations in increasing user satisfaction. The implications of this study suggest that AI not only enhances Shopee's operational efficiency but also strengthens customer satisfaction and loyalty, making it a key element in maintaining competitiveness in today's competitive e-commerce industry

Analisis Penggunaan AI dalam Keberhasilan Customer Experience Pengguna Aplikasi E-Commerce Shopee Arief Zikry; Muhammad Bitrayoga; Siska Yulia Defitri; Akhmad Dahlan; Nina Dwi Putriani
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 3 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i3.1387

E-commerce has experienced rapid growth with the adoption of digital technology particularly in Southeast Asia. AI enables Shopee to provide personalized product recommendations, responsive customer service, and secure shopping experiences. This study analyzes the use of Artificial Intelligence (AI) technology in enhancing user experience on the Shopee e-commerce platform. The research employs a mixed-method approach involving 400 Shopee users in Indonesia. Product recommendation and user experience personalization both significantly increase user satisfaction. User experience personalization has a greater influence than product recommendations in increasing user satisfaction. The implications of this study suggest that AI not only enhances Shopee's operational efficiency but also strengthens customer satisfaction and loyalty, making it a key element in maintaining competitiveness in today's competitive e-commerce industry

Implementation of IoT in Smart City Management to Improve Energy Efficiency Muhammad Bitrayoga; Evan Haviana; Amat Suroso; Tanwir; Sri Widiastuti
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.6927

The rapid growth of urbanization in Palembang, South Sumatra Province, poses challenges in the management of energy resources and the environment. This study aims to evaluate the application of Internet of Things (IoT) in the E-Cleanness City Information and Management System program as a solution in improving energy efficiency and smart city operations. Mixed research methods were used, combining quantitative and qualitative analysis to obtain a comprehensive picture of the impact of IoT implementation. The results showed a 10% decrease in energy consumption and a 15% increase in operational efficiency after IoT implementation. The main factors contributing to the efficiency improvement include optimization of waste collection routes, reduction in the number of operational vehicles, and improved response times. In addition, user and system manager satisfaction surveys indicated high levels of satisfaction, indicating positive acceptance of the technology. The social and economic benefits include reduced operational costs, improved quality of life, creation of new jobs, and increased environmental awareness. However, challenges such as limited technological infrastructure, the need for further training, complex system integration, and data security and privacy issues need to be addressed to optimize IoT implementation. This research recommends infrastructure development, intensive training programs, and implementation of strong data security protocols as strategic steps to support the sustainability of smart city management in Palembang. The findings are expected to serve as a reference for the development of similar policies in other cities in Indonesia in an effort to achieve energy efficiency and environmental sustainability through IoT technology.

The Effect of Using End-to-End Encryption in Improving Data Security in Cloud Computing Satya Arisena Hendrawan; Legito; Muhammad Bitrayoga; Jatmiko Wahyu Nugroho; Arnes Yuli Vandika
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.6941

Cloud Computing offers various advantages, but also presents major challenges related to data security. End-to-end encryption (E2EE) is considered as a solution to mitigate threats to the security of data stored and processed in the cloud. This research aims to examine the effect of implementing E2EE encryption in improving data security in Cloud Computing. Using a qualitative approach with literature study and secondary data analysis, this research focuses on three main threat categories: data leakage, unauthorized access, and cyberattacks. The results show that E2EE encryption can reduce the incidence of data leakage by 80%, unauthorized access by 83.3%, and cyberattacks by 78.6%. Despite its effectiveness, E2EE encryption implementation faces challenges in encryption key management and potential degradation in system performance. Therefore, good key management and multifactor authentication are essential to ensure data security. This study concludes that although end-to-end encryption improves security, a thorough policy, including key management and access control, is needed to maximize data protection in Cloud Computing.

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