Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Jurnal Media Infotama IT For Society : Journal of Information Technology Eduvest - Journal of Universal Studies
Hasanul Fahmi
President University
Aerospace Engineering Computer Science & IT Health Professions Neuroscience Social Sciences

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Implementation of AI Chatbot Application for Social Anxiety Problem Melisa Dewi; Hasanul Fahmi
IT for Society Vol 8, No 1 (2023)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v8i1.4662

Abstract

The past decade has witnessed the rapid development of Artificial Intelligence (AI)[1]. AI nowadays, are becoming more popular and integrated in every aspect of the world. Using Ai chatbot as a companion partner has been a thing since a few years ago, but with the development of AI, it is possible to inject personality into those chatbots now. With the increasing growth of social anxiety issues, it is possible to implement AI chatbot as a way to train social skills into people. Past researches have already created a chatbot that is solely for the purpose of depression in a one-on-one chatting environment. In order to create a working training regime, it is necessary to give the user the ability to change from a fully AI environment to slowly integrate with humans. The present paper considers the ability of personality trained AI chatbots and environment as a way to help people learn to socialize. This research aims to help provide a cheaper and reliable alternative for therapists by using AI chatbots as a guide for socially anxious people.
Handling Long Sequences in BERT for Question Answering Systems Andreyanto Pratama; Hasanul Fahmi
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.51006

Abstract

The Question Answering System is an important component of Natural Language Processing applications, allowing for efficient information processing and improving user experience. Despite the fact that BERT has provided additional work in QA tasks, the fact that it only supports up to 512 tokens has reduced its effectiveness in large-scale scenarios. This study addresses the problem by introducing a new algorithm that integrates hierarchical and dynamic memory networks with BERT. The method used to collect broad contexts into chunks that may be used for independent research, ensuring that no important information is missing. The dynamic memory module integrates and stores information in real time throughout the system, allowing for comprehensive context understanding. Depending on the SQuAD v2.0 dataset, the model achieved an Exact Match score of 78.10% and an F1 score of 87.27%. The F1-score value of standard BERT with a value of 81.9% increased to 87.27% with this approach. This research investigated the potential of structured and memory networks to overcome the weaknesses of BERT, provide solutions, and adapt to QA tasks.
Deblurring Photos with Lucy-Richardson and Wiener Filter Algorithm in RGBA Color Michiavelly Rustam; Agung Brotokuncoro; Wiranto Herry Utomo; Hasanul Fahmi
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.6709

Abstract

Photographers and social media influencers encounter challenges with hand tremors during photo capture, leading to unintended blurriness in their posts, reducing visual impact and audience engagement. To mitigate this problem, the authors aim to effectively reduce the blurring caused by instability in handling, producing sharper and noise-free photos. The methodology involves implementing the Lucy-Richardson and Wiener Filter algorithms into a Python-based web application optimized for RGBA photo processing. Data requirements include sample photos affected by hand tremors to validate the efficacy of the solution. The outcome successfully eliminates blur in captured photos affected by hand tremors in RGBA color format.
Co-Authors Agung Brotokuncoro Andreyanto Pratama Melisa Dewi Michiavelly Rustam Wiranto Herry Utomo