Article Per Year (5 Year)
p-Index From 2020 - 2025
1.152
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer dan Informasi Proceeding of the Electrical Engineering Computer Science and Informatics ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Repositor Journal of Integrated Agribusiness Literatus JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Nusantara Journal of Computers and its Applications The Indonesian Journal of Computer Science
Syadza Anggraini
Universitas Muhammadiyah Sampit
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : The Indonesian Journal of Computer Science

 1 
Penerapan Machine Learning Pada Kelapa Sawit: Analisis Bibliometrik Anggraini, Syadza; Saragih, Veny Betsy; Sutriani, Linda
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4224

Abstract

The advancement of machine learning-based technology spread widely, especially in oil palm. Oil palm has become a main source of domestic products because of its high production and a leading commodity where it cannot be separated from the use of machine learning. However, the potential of machine learning has not yet been identified specifically through bibliography aspects where those aspects are needed for future research. The main objective of this research is to analyze trends of machine learning utilization and potential topics in oil palm by using bibliometric analysis to obtain year distribution, author productivity, citation, and keyword co-occurrence. As a result, the highest peak number of publications is 2023 where the most cited authors are Haohuan Fu and Weijia Li. Then, the most used algorithms are deep learning, ANN, SVM, RF and CNN based on the occurrences while the tree detection and counting topic has the highest citation articles. The result indicates that scientific interest in the study of this research benefits as a starting point for future works.
Co-Authors Agus Zainal Arifin Chicka Willy Yanti Diana Purwitasari Dini Adni Navastara, Dini Adni Gita Indah Marthasari Impron, Ali Khairiyyah Nur Aisyah Khairiyyah Nur Aisyah, Khairiyyah Nur Kurniawan Tri Putra Linda Sutriani Novi Nur Putriwijaya Nur Hayatin Rarasmaya Indraswari Riantri Barus, Riantri Suraji Suraji suraji suraji Veny Betsy Saragih