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Alwin Sambul
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science

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Aplikasi Pendeteksian Bentuk Gestur Tangan Dalam Bahasa Isyarat: Hand Gesture Detection Application in Sign Language JUAN MEDELLU; Alwin Sambul; Arie S.M. Lumenta
Jurnal Teknik Informatika Vol. 17 No. 4 (2022): Jurnal Teknik Informatika
Publisher : Universitas Sam Ratulangi

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Abstract — The communicant is a liaison between 2 things aiming to be able to understand each other. Communication is very closely related to living creatures such as humans who are always social which can be interpreted a little as humans who want to convey something to other humans. With the application of technology such as a hand gesture pattern detection system, it can make it easier to recognize sign language by implementing a framework such as Yolo to detect the shape of hand signals in sign language in the form of letters being exhibited. Key words— Deep Learning, Training, Dataset, Hand Gestures, Sign Language, Framework Yolo Abstrak — Komunikan merupakan sebuah penghubung antara 2 hal bertujuan untuk dapat mengerti satu sama lain. Komunika sangat erat hubungannya dengan makluk hidup seperti manusia yang selalu bersosial dimana dapat sedikit diartikan sebagai manusia yang ingin menyampaikan suatu hal pada manusia lain. Dengan adanya penerapan teknologi seperti system pendeteksi pola gestur isyarat tangan dapat memudahkan untuk mengenal Bahasa isyarat dengan mengimplementasikan framework seperti yolo untuk medeteksi bentuk isyarat tangan dalam bahasa isyarat berupa huruf yang sedang diperagakan. Kata kunci — Pembelajaran Mendalam, Pelatihan, Himpunan Data, Gestur Tangan, Bahasa Iyarat, Kerangka Yolo.
Design and Development of a Generative Artificial Intelligence-Based Application for Generating Online Article: Rancang Bangun Aplikasi Pembuatan Artikel Website Berbasis Kecerdasan Artifisial Generatif Juan Manampiring; Alwin Sambul; Virginia Tulenan
Jurnal Teknik Informatika Vol. 20 No. 2 (2025): Jurnal Teknik Informatika
Publisher : Universitas Sam Ratulangi

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This study aims to design and develop a generative artificial intelligence-based article creation application for websites. By utilizing the ChatGPT API, this application enables users to automatically generate articles based on the provided input text. In this study, we identified the background of application development, formulated the problems to be solved, and established problem boundaries for research focus. The application development method was carried out through a web-based software design and development approach. The main objective of the research is to provide convenience and efficiency in article creation through the utilization of artificial intelligence technology. The results of this research are expected to contribute to the development of automatic content creation applications and enhance productivity in website article creation. The conclusion of this study is that the designed application is capable of providing an effective and efficient solution in the process of web-based article creation using generative artificial intelligence. Keywords - Artificial Intelligence; ChatGPT; Flask; Web; Website Articles.
Co-Authors Arie Lumenta Juan Manampiring JUAN MEDELLU Virginia Tulenan