Zulfa, Basmalah Agustyn (2023) MERDEKABELAJARKAMPUSMERDEKA(MBKM) PROGRAM STUDI INDEPENDEN BERSERTIFIKAT BIDANG TEKNOLOGI DAN RISET KECERDASAN ARTIFISIAL PT. BISA ARTIFISIAL INDONESIA. Project Report. Institut Teknologi Telkom Purwokerto. (Unpublished)
|
Text
Cover.pdf Download (161kB) |
|
|
Text
ABSTRACT.pdf Download (88kB) |
|
|
Text
ABSTRAK.pdf Download (86kB) |
|
|
Text
Bab I.pdf Download (120kB) |
|
|
Text
Bab II.pdf Download (78kB) |
|
|
Text
Bab III.pdf Restricted to Registered users only Download (5MB) |
|
|
Text
Bab IV.pdf Download (68kB) |
|
|
Text
Daftar Pustaka (1).pdf Download (66kB) |
|
|
Text
Lampiran.pdf Restricted to Registered users only Download (323kB) |
Abstract
The purpose of writing this report is to fulfill the requirements for the software engineering professional training course and the requirements for the degree requirements of the accredited independent study program PT. CAN AI Academy (PT CAN ARTIFISIAL INDONESIA) is a digital start-up based on Educational Technology (Edutech) with a focus on learning related to Artificial Intelligence (AI), Data Science and other sub-fields. Can.AI Academy of Artificial Intelligence Game Technology (AI-Game), part of an accredited independent campus internship program and independent research that aims to build digital AI startups and enable them to use modern AI. It is a master and technology design and implementation of an AI-based project. Activities carried out during the activity are scheduled learning, independent learning, guest learning, capstone projects, competency certification, making portfolios, becoming resource persons, and Building Digital Startups. The output of this program is the mastery of aspects of building a digital startup: AI Game (Artificial Intelligence Game Technology).
| Item Type: | Monograph (Project Report) |
|---|---|
| Divisions: | Faculty of Informatics > Software Engineering |
| Depositing User: | pustakawan ittp |
| Date Deposited: | 06 May 2026 03:43 |
| Last Modified: | 06 May 2026 03:43 |
| URI: | http://repository.ittelkom-pwt.ac.id/id/eprint/11483 |
Actions (login required)
![]() |
View Item |
