Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal G-Tech : Jurnal Teknologi Terapan
Agustiani Putri
Universitas Negeri Malang, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Tren Minat Masyarakat Indonesia terhadap Artificial Intelligence dalam Menyongsong Society 5.0: Studi Menggunakan Google Trends Selly Anastassia Amellia Kharis; Arman Haqqi Anna Zili; Agustiani Putri; Anton Robiansyah
G-Tech: Jurnal Teknologi Terapan Vol 7 No 4 (2023): G-Tech, Vol. 7 No. 4 Oktober 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i4.3091

Abstract

Artificial Intelligence (AI) telah menjadi pendorong dalam mewujudkan konsep Society 5.0. Minat masyarakat Indonesia terhadap AI berperan penting dalam memahami kesiapan dan penerimaan terhadap konsep Society 5.0. Minat yang rendah terhadap AI akan menyulitkan realisasi Society 5.0 bagi masyarakat Indonesia. Penelitian ini bertujuan menganalisis tren minat masyarakat Indonesia terhadap AI menggunakan Google Trends. Data terkait AI dikumpulkan dan dianalisis seiring waktu dan pola minat di berbagai wilayah Indonesia. Penelitian ini menggunakan metode knowledge discovery in database (KDD). Hasil penelitian menunjukkan minat masyarakat Indonesia terhadap AI sudah muncul sebelum istilah Society 5.0 muncul. Meskipun minat Masyarakat Indonesia lebih rendah dibandingkan Masyarakat dunia, tren minat Masyarakat Indonesia terhadap AI meningkat. Daerah yang memiliki minat tertinggi dengan kata pencarian “Artificial Intelligence” adalah Daerah Istimewa (DI) Yogyakarta. Analisis tren minat Masyarakat Indonesia terhadap AI akan membantu berbagai sektor dalam menyiapkan rencana dan membuat keputusan untuk mewujudkan konsep Society 5.0 bagi Masyarakat Indonesia.
A Literature Review to Evaluate the Impact of Machine Learning and Artificial Intelligence for Lung Cancer Patient in COVID-19 Pandemic Selly Anastassia Amellia Kharis; Arman Haqqi Anna Zili; Fauzan Ihza Fajar; Agustiani Putri; Melisa Arisanty
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3891

Abstract

Cancer patients are considered susceptible to COVID-19 associated with the presence of an immunosuppressive state. One type of cancer that causes many deaths is lung cancer. There are many challenges and difficulties, especially in treating lung cancer during the COVID-19 period. As technology develops, experts are trying to use machine learning and artificial intelligence in the treatment and detection of lung cancer. Artificial intelligence and machine learning can be used to predict lung cancer using data from microarrays, pictures, and other sources. Limited data on COVID-19 patients with a relatively small sample, information regarding the implementation of machine learning and artificial intelligence for the treatment of COVID-19 patients with lung cancer is still limited. Therefore, it is necessary to have a literature review to explain the effect of machine learning and artificial intelligence for lung cancer patients during the COVID-19 period from existing studies. The literature review used in this study. Sourced from the search results of journals from various countries related to lung cancer and COVID-19 in Pubmed, Science Direct, and Google Scholar. The results show an important role of machine learning and artificial intelligence for lung cancer patients in COVID-19 pandemic.
Co-Authors Arman Haqqi Anna Zili Fauzan Ihza Fajar Melisa Arisanty Robiansyah, Anton Selly Anastassia Amellia Kharis