Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug

Bibliographic Details
Main Authors: Tedi Rustandi, Erna Prihandiwati, Fatah Nugroho, Fakhriah Hayati, Nita Afriani, Riza Alfian, Noor Aisyah, Rakhmadhan Niah, Aulia Rahim, Hasbi As-Shiddiq
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1274975/full
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author Tedi Rustandi
Tedi Rustandi
Erna Prihandiwati
Fatah Nugroho
Fakhriah Hayati
Fakhriah Hayati
Nita Afriani
Riza Alfian
Noor Aisyah
Rakhmadhan Niah
Aulia Rahim
Hasbi As-Shiddiq
author_facet Tedi Rustandi
Tedi Rustandi
Erna Prihandiwati
Fatah Nugroho
Fakhriah Hayati
Fakhriah Hayati
Nita Afriani
Riza Alfian
Noor Aisyah
Rakhmadhan Niah
Aulia Rahim
Hasbi As-Shiddiq
author_sort Tedi Rustandi
collection DOAJ
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institution Directory Open Access Journal
issn 2624-8212
language English
last_indexed 2024-03-11T13:46:27Z
publishDate 2023-11-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Artificial Intelligence
spelling doaj.art-8506c8e100cd48f59f4ac6938b9418712023-11-02T10:18:38ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122023-11-01610.3389/frai.2023.12749751274975Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drugTedi Rustandi0Tedi Rustandi1Erna Prihandiwati2Fatah Nugroho3Fakhriah Hayati4Fakhriah Hayati5Nita Afriani6Riza Alfian7Noor Aisyah8Rakhmadhan Niah9Aulia Rahim10Hasbi As-Shiddiq11Department of Pharmacy, School of Health Sciences ISFI, Banjarmasin, IndonesiaFaculty of Pharmacy, Pancasila University, Jakarta, IndonesiaDepartment of Pharmacy, School of Health Sciences ISFI, Banjarmasin, IndonesiaFaculty of Veterinary Medicine, Gadjah Mada University, Yogyakarta, Special Region of Yogyakarta, IndonesiaBhayangkara Hospital, Banjarmasin, IndonesiaFaculty of Pharmacy, Ahmad Dahlan University, Yogyakarta, Special Region of Yogyakarta, IndonesiaDepartment of Biology, IPB University, Bogor, IndonesiaDepartment of Pharmacy, School of Health Sciences ISFI, Banjarmasin, IndonesiaDepartment of Pharmacy, School of Health Sciences ISFI, Banjarmasin, IndonesiaDepartment of Pharmacy, School of Health Sciences ISFI, Banjarmasin, IndonesiaDepartment of Pharmacy, School of Health Sciences ISFI, Banjarmasin, IndonesiaFaculty of Pharmacy, Muhammadiyah Banjarmasin University, Banjarmasin, Indonesiahttps://www.frontiersin.org/articles/10.3389/frai.2023.1274975/fulltraditional Indonesian medicineJamuartificial intelligencemachine learningdeep learning
spellingShingle Tedi Rustandi
Tedi Rustandi
Erna Prihandiwati
Fatah Nugroho
Fakhriah Hayati
Fakhriah Hayati
Nita Afriani
Riza Alfian
Noor Aisyah
Rakhmadhan Niah
Aulia Rahim
Hasbi As-Shiddiq
Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug
Frontiers in Artificial Intelligence
traditional Indonesian medicine
Jamu
artificial intelligence
machine learning
deep learning
title Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug
title_full Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug
title_fullStr Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug
title_full_unstemmed Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug
title_short Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug
title_sort application of artificial intelligence in the development of jamu traditional indonesian medicine as a more effective drug
topic traditional Indonesian medicine
Jamu
artificial intelligence
machine learning
deep learning
url https://www.frontiersin.org/articles/10.3389/frai.2023.1274975/full
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