Editorial Team

Editor

Prof. Dr. apt. Berna Elya, M.Si., Universitas Indonesia https://www.scopus.com/authid/detail.uri?authorId=14014224500

Dr. apt. Hadi Kuncoro, S.Farm., M.Farm., Universitas Mulawarman https://www.scopus.com/authid/detail.uri?authorId=56705347900

Peer Reviewer

Prof. Dr. apt. Anas Subarnas, M.Sc., - Department of Pharmacology, Universitas Padjajaran, Indonesia - Scopus: 6505974837 - ORCID: 0000-0002-7048-1861 - SINTA: 5988119 - Publons: 1320583 - Google Scholar: wUbkWaYAAAAJ

Prof. Dr. Dra. apt. Fatimawali,M. Si., Universitas Samratulangi https://www.scopus.com/authid/detail.uri?authorId=57201072780

Prof. Drs. Bambang Kuswandi, M.Sc, Ph.D. Universitas Negeri Jember https://www.scopus.com/authid/detail.uri?authorId=6602227292

Dr. apt. Maria Immaculata Iwo, Institut Teknologi Bandung https://www.scopus.com/authid/detail.uri?authorId=7801542533

Dr. apt. Islamudin Ahmad, S.Si., M.Si., Universitas Mulawarman https://www.scopus.com/authid/detail.uri?authorId=57190669391

Dr. Khairul Anam, S.Si., M.Si., Universitas Diponegoro https://www.scopus.com/authid/detail.uri?authorId=56416256600

apt. Fifteen Aprila Fajrin, S.Farm., M.Farm., Universitas Negeri Jember https://www.scopus.com/authid/detail.uri?authorId=57201298872

Prof. Dr. apt Jutti Levita, S.Farm., M.Si, Universitas Padjajaran https://www.scopus.com/authid/detail.uri?authorId=36133187800

Dr. apt. Niken Indriyanti, S.Farm., M.Si., Universitas Mulawarman https://www.scopus.com/authid/detail.uri?authorId=57195913208

Dr. Prima Endang Susilowati,M.Si., UniversitasHalu Oleo https://www.scopus.com/authid/detail.uri?authorId=24342480100

Dr. Apt Raditya Iswandana, M.Farm., Universitas Indonesia https://sinta.ristekbrin.go.id/authors/detail?id=5976519&view=overview

apt. Roshamur Cahyan Forestrania, M.Sc., Ph.D., Universitas Indonesia https://www.scopus.co m/authid/detail.uri?authorId=56395445700

Prof. apt. Dr. Satibi, M.Si., Universitas Gadjah Mada https://www.scopus.com/authid/detail.uri?authorId=57189273888

Prof. Dr. Sahidin, M.Si., Universitas Halu Oleo https://www.scopus.com/authid/detail.uri?authorId=56705347900

Ari Sartinah, S.Si., M.Sc., Universitas Halu Oleo

apt. Aditya Maulana Perdana Putra, S.Farm., M.Sc., Universitas Lambung Mangkurat

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<?xml version="1.0" encoding="utf-8"?> <doi_batch xmlns="http://www.crossref.org/schema/4.3.6" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" version="4.3.6" xsi:schemaLocation="http://www.crossref.org/schema/4.3.6 https://www.crossref.org/schemas/crossref4.3.6.xsd"> <head> <doi_batch_id>_1734780976</doi_batch_id> <timestamp>20241221113616000</timestamp> <depositor> <depositor_name>Syafura Az-Zahra</depositor_name> <email_address>bimfi.ismafarsi@gmail.com</email_address> </depositor> <registrant>Ikatan Senat Mahasiswa Farmasi Seluruh Indonesia</registrant> </head> <body> <journal> <journal_metadata> <full_title>Berkala Ilmiah Mahasiswa Farmasi Indonesia</full_title> <abbrev_title>BIMFI</abbrev_title> <issn media_type="electronic">2774-1710</issn> <issn media_type="print">2302-7851</issn> </journal_metadata> <journal_issue> <publication_date media_type="online"> <month>06</month> <day>30</day> <year>2024</year> </publication_date> <journal_volume> <volume>11</volume> </journal_volume> <issue>1</issue> </journal_issue> <journal_article xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" publication_type="full_text" metadata_distribution_opts="any" language="id"> <titles> <title>ANALISIS BIBLIOMETRIK TERHADAP PENGEMBANGAN PENELITIAN MACHINE LEARNING UNTUK IDENTIFIKASI SENYAWA KIMIA OBAT</title> </titles> <titles> <title>BIBLIOMETRIC ANALYSIS OF RESEARCH PROGRESS ON MACHINE LEARNING FOR IDENTIFICATION OF DRUG CHEMICAL COMPOUNDS</title> </titles> <contributors> <person_name contributor_role="author" sequence="first" language="id"> <given_name>Tambunan Matthew</given_name> <surname>Valentino</surname> </person_name> <person_name contributor_role="author" sequence="additional" language="id"> <given_name>I Made Agus Kusuma</given_name> <surname>Adi</surname> </person_name> <person_name contributor_role="author" sequence="additional" language="id"> <given_name>Bellyna Putri Annisa</given_name> <surname>Rahmadhani</surname> </person_name> <person_name contributor_role="author" sequence="additional" language="id"> <given_name>Bellyna Putri Annisa</given_name> <surname>Rahmadhani</surname> </person_name> </contributors> Pendahuluan: Perkembangan teknologi berbasis machine learning telah dimanfaatkan dalam berbagai bidang ilmu mulai dari pendidikan hingga pekerjaan sosial. Kesehatan menjadi salah satu yang memanfaatkan penerapan teknologi machine learning. Hal ini dapat dibuktikan dengan berkembangnya teknologi yang membantu dalam analisis pengobatan serta senyawa kimia obat. Analisis bibliometrik bertujuan memberikan visualisasi metadata pustaka terkait terhadap topik machine learning untuk identifikasi senyawa kimia obat. Metode: Metode yang digunakan yakni dengan pengumpulan pustaka menggunakan database Pubmed dengan kata kunci “(machine learning) AND (drug structure)”. Faktor eksklusi yang diterapkan untuk pencarian adalah tipe dokumen, akses dokumen, dan tahun publikasi. Pustaka yang diperoleh dianalisis secara bibliometrik menggunakan Biblioshiny oleh Bibliometrix. Analisis bibliometrik dilakukan terhadap jumlah publikasi tiap tahun, jurnal ilmiah paling relevan, penulis paling relevan, afiliasi paling relevan, negara penerbit ilmiah, jaringan kesertaan, dan jaringan kolaborasi antar penulis. Hasil: Analisis bibliometrik banyak dikembangkan oleh peneliti hal ini, dilihat dari banyaknya artikel yang dipublikasikan oleh peneliti. Analisis ini mengidentifikasi penelitian sebanyak 8.301 penulis dari 79 negara. Jumlah artikel yang relevan terhadap topik paling banyak terdapat pada jurnal Scientific Report. Kesimpulan: Pemanfaatan machine learning mengalami perkembangan yang pesat dalam 10 tahun terakhir. Analisis bibliometrik dengan Biblioshiny memberikan visualisasi yang tepat mengenai perkembangan tersebut. Analisis bibliometrik berhasil mengidentifikasi tren penelitian oleh 8.301 penulis dari 79 negara pada rentang tahun 2014-2024. Jumlah publikasi tiap tahun tertinggi terjadi pada tahun 2023 dan kontinuitas peneliti dimulai dari tahun 2020. Kata kunci dan kolaborasi dianalisis melalui node dan edge pada skema Louvain. Kata kunci: Bibliografi, Pemelajaran Mesin, Desain Obat Introduction: The development of machine learning-based technology has been utilized in various fields of science ranging from education to social work. The field of health science is one that utilizes the application of machine learning technology, this can be proven by the development of technology that helps in the analysis of treatment and chemical compounds of drugs. The bibliometric analysis aims to provide a visualization of related literature metadata on the topic of machine learning for the analysis of chemical compounds of drugs. Methods: The method used was literature collection using the Pubmed database with the keywords "(machine learning) AND (drug structure)". Exclusion factors applied for the search were document type, document access, and publication year. The literature obtained was analyzed bibliometrically using Biblioshiny by Bibliometrix. Bibliometric analysis was analyzed in three clusters. Result: Bibliometric analysis is widely developed by researchers, it can be seen from the number of articles published by researchers. This analysis identified research by 8,301 authors from 79 countries. The largest number of articles relevant to the topic is found in the Scientific Report journal. Conclusion: The utilization of machine learning has grown rapidly in the last 10 years. Bibliometric analysis with Biblioshiny provides a precise visualization of these developments. The bibliometric analysis identified research trends by 8,301 authors from 79 countries between 2014 and 2024. The highest number of publications per year occurred in 2023 and researcher continuity started from 2020. Keywords and collaboration analysed using node and edge from Louvain scheme. <publication_date media_type="online"> <month>06</month> <day>30</day> <year>2024</year> </publication_date> <pages> <first_page>8</first_page> <last_page>16</last_page> </pages> <doi_data> <doi>10.48177/bimfi.v11i1.121</doi> <resource>https://bimfi.e-journal.id/bimfi/article/view/121</resource> <collection property="crawler-based"/> <collection property="text-mining"/> </doi_data> </journal_article> </journal> </body> </doi_batch>

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