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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika
Asyhari, Muhammad Fiddiana
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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PENCARIAN CERDAS ANTAR-MODA : EVOLUSI TEKNOLOGI VIDEO-TEXT RETRIEVAL Asyhari, Muhammad Fiddiana; Dimas, Fadli; Abu Bakar, Abib Maftuh; Bastian, Ade
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6607

Abstract

This study aims to examine scientific trends and current approaches in the field of video-text retrieval through a bibliometric analysis approach. The urgency of this topic is driven by the surge in the growth of audiovisual data and the increasing need for a retrieval system that is able to understand the semantic relationship between text and video. Bibliometric data were collected using Publish or Perish Harzing software with Google Scholar as the main source, then visualized and analyzed using VOSviewer to identify thematic clusters, keyword distributions, and author collaboration patterns. The InternVid dataset was used as an exploration reference because it provides millions of video clips with semantically rich text annotations. The analysis results show five main clusters that illustrate thematic directions in this field, including the development of cross-modal representation models, retrieval performance evaluation, and large-scale dataset construction. Human perception-based benchmarks such as VBench are also utilized to enrich the evaluative perspective beyond quantitative metrics. This study contributes to mapping the knowledge structure of the multimodal retrieval field and opens up opportunities for the development of more contextual, adaptive, and user-oriented intelligent retrieval systems.
SISTEM PAKAR APLIKASI DIAGNOSA PENYAKIT DALAM BERBASIS WEBSITE Zahra, Haura; Asyhari, Muhammad Fiddiana; Romansah, Romansah
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 18 No. 2 (2024): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v18i2.14046

Abstract

An internal medicine expert system is an application designed to assist in the process of diagnosing diseases based on symptoms experienced by patients. In today's digital era, the use of web-based expert systems is growing because it provides wider accessibility to users. This research aims to implement a website-based internal medicine expert system as a diagnosis tool for the general public. This system development method involves the steps of needs analysis, system design, implementation, and evaluation. In the needs analysis phase, data on disease symptoms and related medical information were collected to build the expert system knowledge base. Based on the analysis, a user-friendly website interface was designed as well as an algorithm for matching symptoms with corresponding diseases. Implementation was done using web technologies such as HTML, CSS, and JavaScript to build an interactive and responsive user interface. System evaluation was conducted through functionality and diagnosis accuracy trials involving a number of sample disease cases. The evaluation results show that the web-based internal medicine expert system is able to provide a fairly accurate diagnosis according to the symptoms entered by the user. Thus, the implementation of this system can be an effective solution in helping people to make an initial diagnosis of the disease.
Co-Authors Abu Bakar, Abib Maftuh Ade Bastian Dimas, Fadli Romansah, Romansah Zahra, Haura