Aplikasi Artificial Intelligence Pendeteksi Jenis Spesies Hewan Menggunakan Metode Image Tracking Berbasis Android

Authors

  • Hary Krishna Universitas Pamulang
  • Thoyyibah.T Universitas Pamulang

DOI:

https://doi.org/10.61722/jmia.v1i4.2380

Keywords:

Information Systems, Artificial Intelligence, Types of Animals, image tracking (Vuforia), Android.

Abstract

The animal type detection application was built to make it easier for humans to find information and educate on the introduction of animal types. It is very important to add knowledge and insight about animals so that you know the types and names of these animals. The system used to realize this project uses an Artificial Intelligence (AI) system. The system was built based on Android using the image tracking method (Vuforia) which is capable of detecting image target markers. The animal species detection system has been successfully implemented as a system model that is able to provide information such as name, species, population, habitat and others.

References

P. Xiao, Practical Java Programming for IoT, AI, and Blockchain. Wiley, 2019.

[Online]. Available: https://books.google.co.id/books?id=tk mgDwAAQBAJ

B. Saboury and E. Siegel, Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics. Elsevier Health Sciences, 2021. [Online]. Available: https://books.google.co.id/books?id=W

-5EEAAAQBAJ

M. R. Zimmerman, Teaching AI:

Exploring New Frontiers for Learning. International Society for Technology in Education, 2018. [Online]. Available: https://books.google.co.id/books?id=bV

PewAEACAAJ

Winasmata Gora and Sunarto, Pakematik: Strategi Pembelajaran Inovatif Berbasis TIK. Elex Media Komputindo. [Online]. Available: https://books.google.co.id/books?id=D

MYVbhT81UC

J. Daintith and E. Wright, A Dictionary of Computing. OUP Oxford, 2008.

[Online]. Available:

https://books.google.co.id/books?id=q_

YAQAAIAAJ

D. Deslianti and S. Sumarsih,

“IMPLEMENTASI METODE IMAGE TRACKING VUFORIA PADA PENGENALAN HEWAN

MENGGUNAKAN AUGMENTED

REALITY BERBASIS ANDROID,” JSAI (Journal Scientific and Applied Informatics), vol. 2, no. 3, Nov. 2019, doi: 10.36085/jsai.v2i3.512.

I. Ardiansyah, W. Tjahjo Saputro, and K. Widatama, “Pengembangan Sistem Informasi Presensi Mahasiswa

Memanfaatkan Teknologi Qr-Code,” vol. 4, 2021.

Y. Prayudi, “PENERAPAN SYSTEM DEVELOPMENT LIFE CYCLE (SDLC)

DALAM MENGEMBANGKAN FRAMEWORK AUDIO FORENSIK,”

, doi: 10.5281/zenodo.2528444.

Rahmat Inggi, Bambang Sugiantoro, and Yudi Prayudi, “PENERAPAN SYSTEM DEVELOPMENT LIFE CYCLE (SDLC) DALAM MENGEMBANGKAN FRAMEWORK AUDIO FORENSIK,” 2018, doi:

5281/zenodo.2528444.

MUHAMMAD RAFI WIBOWO,

“PEMBANGUNAN PERANGKAT LUNAK BERBASIS WEB

UNTUK PENYEBARAN INFORMASI

INTERNAL MENGGUNAKAN SMS GATEWAY DI BADAN

PENGELOLA PUSAT

PERDAGANGAN CARINGIN (BP3C),” FAKULTAS TEKNIK DAN ILMU KOMPUTER.

W. Nugraha, M. Syarif, and W. S. Dharmawan, “PENERAPAN METODE SDLC WATERFALL DALAM SISTEM INFORMASI INVENTORI BARANG

BERBASIS DESKTOP,” JUSIM (Jurnal Sistem Informasi Musirawas), vol. 3, no.

, pp. 22–28, Jun. 2018, doi:

32767/jusim.v3i1.246.

D. Stone, C. Jarrett, M. Woodroffe, and S. Minocha, User Interface Design and Evaluation. Elsevier Science, 2005.

[Online]. Available:

https://books.google.co.id/books?id=Vv

SoyqPBPbMC

K. Roebuck, Software Development Life Cycle (SDLC): High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors. Lightning Source Incorporated, 2011. [Online].

Available: https://books.google.co.id/books?id=bp aUZwEACAAJ

K. Roebuck, Software Development Life Cycle (SDLC): High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors. Lightning Source Incorporated, 2011. [Online].

Available: https://books.google.co.id/books?id=bp aUZwEACAAJ

J. Watkins and S. Mills, Testing IT: An Off-the-Shelf Software Testing Process. Cambridge University Press, 2010.

[Online]. Available:

https://books.google.co.id/books?id=9d skoe_4n_UC

Downloads

Published

2024-08-12

Issue

Section

Articles