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All Journal Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Valentin Gea Affila Pradika
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Humanities Computer Science & IT Engineering Other

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CHATBOT PELAYANAN INFORMASI KAMPUS Valentin Gea Affila Pradika; I Gusti Agung Gede Arya Kadyanan; I Wayan Supriana
Jurnal Pengabdian Informatika Vol. 3 No. 3 (2025): JUPITA Volume 3 Nomor 3, Mei 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Semakin berkembangnya teknologi dalam dunia pendidikan, informasi tentang kampus menjadi hal yang sangat penting. Pencarian informasi yang cepat, tepat, dan mudah dibutuhkan bagi calon mahasiswa, mahasiswa, warga kampus lainnya, sampai masyarakat umum. Chatbot menjadi pilihan solusi yang digunakan karena kepopulerannya. Penggunaan chatbot berguna dalam mencari informasi mengenai kampus dengan cepat dan mudah, dimana pengguna tidak perlu lagi menelusuri setiap website maupun ke petugas kampus untuk mengetahui suatu informasi. Chatbot ini dapat memberikan informasi mendasar mengenai layanan yang disediakan kampus, informasi program studi, fakultas, sampai para petinggi kampus.
Perancangan Prototype Aplikasi Deteksi dan Pelacakan Manusia pada Video Valentin Gea Affila Pradika; I Gusti Agung Gede Arya Kadyanan
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i04.p08

Abstract

The detection and tracking of humans in videos have gained significant attention due to their applications in various fields such as surveillance, activity recognition, and human-computer interaction. This article presents the design and development of a prototype application for human detection and tracking in videos. The use of the prototype methodology allows for early feedback, demonstrates the functionality and features, facilitates effective collaboration, and helps save time and costs in the development process. By following this methodology, the prototype application for human detection and tracking in videos is expected to provide accurate and reliable results, meeting the needs of users in various domains. 
Co-Authors I Gusti Agung Gede Arya Kadyanan I Wayan Supriana