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All Journal Jurnal Software Engineering and Computational Intelligence Journal of Intelligent Systems and Information Technology Jurnal MediaTIK
Arief Zikry
Universitas Serelo Lahat
Computer Science & IT Education Engineering Social Sciences Other

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Performance Optimization of Document Clustering for Harry Potter Series Comments using Cosine Similarity Firza Septian; Arief Zikry; Nina Dwi Putriani
Journal of Intelligent Systems and Information Technology Vol. 1 No. 1 (2024): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v1i1.30

Abstract

This research delves into the distinctive realm of comment clustering, focusing on the extensive discourse generated by the Harry Potter series. Leveraging a dataset from Kaggle, the study aims to optimize document clustering using cosine similarity within the K-Means algorithm. The research addresses the nuanced dynamics of sentiment and preferences within the Harry Potter fan community. A comprehensive methodology involves data collection, preprocessing, TF-IDF initialization, K-Means clustering with varying distance metrics, and result evaluation. The dataset of 491 respondents unveils diverse gender, geographical, and age distributions, adding complexity to the analysis. The K-Means clustering results highlight predominant positive sentiment, emphasizing the enduring popularity of the series. The study's originality lies in its focus on the Harry Potter cultural phenomenon, contributing to sentiment analysis and fan engagement discourse. The implications extend to researchers, practitioners, and enthusiasts seeking a deeper understanding of online discussions surrounding iconic media franchises.
Penerapan Whale Optimization Algorithm dalam Pengoptimalan Portofolio Investasi Menggunakan Model Prediktif Artificial Intelligence Iski Mediansyah; Firza Septian; Arief Zikry
Jurnal Software Engineering and Computational Intelligence Vol 2 No 01 (2024)
Publisher : Informatics Engineering, Faculty of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jseci.v2i01.4147

Abstract

The optimization of investment portfolios has become a primary focus in the management of dynamic financial markets. The Whale Optimization Algorithm (WOA) and Artificial Intelligence (AI) have emerged as potential solutions to tackle market complexities. WOA offers an efficient approach to finding optimal solutions, while AI models such as Artificial Neural Networks (ANN) and Machine Learning (ML) algorithms are effective in predicting market behaviors. The integration of WOA and AI holds promise for better outcomes in optimizing investment portfolios by considering complex factors and market volatility. However, the development of this technology requires interdisciplinary collaboration, increased financial and technological literacy, and consideration of social and environmental aspects. With a sustainable, inclusive, and responsible approach, we can create a more sustainable financial future that positively impacts society and the environment.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
Co-Authors Andika Isma Eri Mardiani Fatimah Nur Arifah Firza Septian Iski Mediansyah Muhammad Bitrayoga Nina Dwi Putriani