Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Procedia of Social Sciences and Humanities EINSTEIN (E-JOURNAL) PESHUM
Rugaya
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : PESHUM

 1 
Trends in Astrophysics and Cosmology Research in the period 2016 – 2024: A Systematic Literature Theodora Lyas Pita Simamora; Nafila Zahira; Yelsa Maria Sitanggang; Jubaidah; Rugaya
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 4 No. 4: Juni 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v4i4.9416

Abstract

This study aims to analyze trends in astrophysics and cosmology research from 2016 to 2024 using a Systematic Literature Review (SLR) of 31 academic papers. The study identifies dominant topics, emerging methodologies, and existing challenges in the field. The increasing role of computational techniques and the need for improved theoretical models in cosmology highlight the significance of this research. The study employs a systematic review approach, selecting 31 peer-reviewed articles from arXiv and Physical Review D. The articles are classified based on research focus and methodology, including theoretical modeling, observational studies, computational simulations, and experimental research. Thematic and trend analysis was conducted to map developments in the field. The review indicates that black hole studies (80%) and gravitational waves (50%) are the most prominent topics. Major advances include the first image of a black hole captured by Event Horizon Telescope (EHT) and improved gravitational wave detection by LIGO. Computational astrophysics, particularly machine learning, has enhanced data analysis and theoretical modeling. However, studies on dark matter (0%) and dark energy (1%) remain limited, and unresolved issues like the Hubble Tension suggest the need for alternative cosmological models. This study is limited by the selection of 31 papers, which may not fully capture all research advancements. Additionally, the rapid evolution of astrophysical research necessitates continuous updates with larger datasets and interdisciplinary methodologies. Future research should focus on refining cosmological models, integrating multimessenger observations, and advancing quantum gravity studies
Kecenderungan Penelitian Spectrometer Massa Sebagai Alat Karakterisasi Pada Periode 2016 – 2024 Sijabat, Josafat; Alfian Yosafat; Bintang , Andreas; Jubaidah; Rugaya
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 4 No. 3: April 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v4i3.8783

Abstract

Spektrometer massa merupakan alat karakterisasi yang memainkan peran penting dalam berbagai bidang ilmu, termasuk kimia, biologi, dan material. Penelitian ini bertujuan untuk menganalisis kecenderungan penggunaan spektrometer massa sebagai alat karakterisasi dalam periode 2016 – 2024. Metode yang digunakan Systematic Literature Review (SLR) terkait dengan spektrometer massa dalam rentang waktu 2016 - 2024. Penelitian dimulai dengan menentukan topik yang akan diteliti kemudian melakukan pencarian studi literature dalam database google scholar dengan menggunakan aplikasi Publish or Perish. Kata kunci yang digunakan adalah “Mass Spektrometry” dengan membatasi artikel dari tahun 2016 sampai 2024. Kemudian dianalisis menggunakan aplikasi VOSviewer dan analisis 31 artikel yang berdata primer  untuk menentukan  kecenderungan spektrometer massa dalam berbagai penelitian dalam periode 2016 - 2024. Diagram alur penelitian menunjukkan tahapan sistematis dalam pengumpulan dan analisis data untuk memperoleh tren yang jelas. Temuan ini menegaskan bahwa spektrometer massa terus berkembang sebagai teknik karakterisasi yang esensial di berbagai disiplin ilmu dan memiliki kecenderungan yang positif atau sangat penting dalam berbagai bidang ilmu atau penelitian.
Co-Authors Alfian Yosafat Astutik, Ika Ratna Indra Bintang , Andreas Feri Tirtoni Jubaidah Nafila Zahira Nasution, Noraliza Hasanah Sijabat, Josafat Theodora Lyas Pita Simamora Yelsa Maria Sitanggang