cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adam Mudinillah
Contact Email
adammudinillah@staialhikmahpariangan.ac.id
Phone
+6285379388533
Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id
Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.
Location
Kab. tanah datar,
Sumatera barat
INDONESIA
Research of Scientia Naturalis
Published by Yayasan Adra Karima Hubbi
ISSN : 30479932     EISSN : 30479940     DOI : 10.70177/scientia
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Chemistry Physics
Research of Scientia Naturalis is an international forum for the publication of peer-reviewed integrative review articles, special thematic issues, reflections or comments on previous research or new research directions, interviews, replications, and intervention articles - all pertaining to the research fields of Mathematics and Natural Sciences. All publications provide breadth of coverage appropriate to a wide readership in Mathematics and Natural Sciences research depth to inform specialists in that area. We feel that the rapidly growing Research of Scientia Naturalis community is looking for a journal with this profile that we can achieve together. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Umum - Umum
Articles 82 Documents
 5   6   7   8   9 
QUANTUM COMPUTING APPLICATIONS IN SOLVING COMPLEX NONLINEAR EQUATIONS FOR ADVANCING COMPUTATIONAL FLUID DYNAMICS IN AEROSPACE ENGINEERING Joni Wilson Sitopu; Darwan Edyanto Saragih; Li Wei
Research of Scientia Naturalis Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i3.4237

Abstract

Increasing complexity in computational fluid dynamics (CFD) simulations demands faster, more accurate, and scalable approaches for solving highly nonlinear equations. Conventional high-performance computing remains effective in aerospace engineering but faces limitations in large-scale turbulence modeling, compressible flows, multiphysics interactions, and optimization requiring intensive iterations. This study evaluated the effectiveness of hybrid quantum-classical computing for solving complex nonlinear CFD equations and improving aerospace simulation performance. A mixed-methods sequential explanatory design involved 540 computational benchmark simulations and 240 experimental scenarios covering conventional solvers, hybrid quantum-classical optimization, and quantum-enhanced nonlinear solvers. Quantitative analyses used descriptive statistics, structural equation modeling, hierarchical regression, mediation, and moderation analysis, while qualitative evidence from expert interviews, computational observations, software evaluations, and document reviews underwent thematic analysis. Results showed that hybrid quantum-classical computing significantly improved convergence efficiency, numerical accuracy, turbulence prediction, scalability, residual error reduction, and simulation reliability. Hybrid optimization partially mediated the effect of quantum algorithms on computational efficiency, while mesh optimization strengthened convergence and engineering accuracy. These findings support integrating quantum computing with established CFD methods to enable faster optimization, stronger prediction, and scalable next-generation aerospace simulations.
ADVANCING SUSTAINABLE AGRICULTURE THROUGH NANO-FERTILIZERS ANALYZING SOIL HEALTH AND CROP PRODUCTIVITY IN TROPICAL ECOSYSTEMS Rahmawati Rahmawati; Siri Lek; Ton Kiat
Research of Scientia Naturalis Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i3.4248

Abstract

Sustainable rice production in tropical ecosystems is constrained by low nitrogen-use efficiency, nutrient losses, declining soil quality, and increasing dependence on conventional fertilizers. This study aimed to evaluate the effects of nano-nitrogen fertilizer on soil health, nitrogen efficiency, and rice productivity under tropical field conditions. A randomized complete block design was implemented with six treatments: no nitrogen, 100% conventional urea, and nano-nitrogen fertilizer applied at 25%, 50%, 75%, and 100% of the recommended nitrogen rate, each replicated four times. Crop growth, chlorophyll content, nitrogen uptake, yield components, grain yield, agronomic efficiency, and selected physical, chemical, and biological soil indicators were analyzed using analysis of variance, post hoc comparisons, correlation, and regression. Results showed that the 75% nano-nitrogen treatment produced the highest grain yield, reaching 7.24 t ha?1, and exceeded full-rate conventional urea while improving productive tillers, chlorophyll status, nitrogen uptake, microbial biomass, urease activity, organic carbon, and aggregate stability. The 100% nano-nitrogen rate increased nitrogen uptake but provided no additional yield advantage, indicating a nonlinear response. The study concludes that optimized nano-nitrogen application can reduce fertilizer demand while improving rice productivity and soil functioning, although multi-season environmental and safety assessments remain necessary before widespread adoption across diverse tropical production environments.

Page 9 of 9 | Total Record : 82

 5   6   7   8   9 

Filter by Year

2024 2026


Reset
Filter By Issues
All Issue Vol. 3 No. 3 (2026) Vol. 3 No. 2 (2026) Vol. 3 No. 1 (2026) Vol. 2 No. 6 (2025) Vol. 2 No. 5 (2025) Vol. 2 No. 4 (2025) Vol. 2 No. 3 (2025) Vol. 2 No. 2 (2025) Vol. 2 No. 1 (2025) Vol. 1 No. 6 (2024) Vol. 1 No. 5 (2024) Vol. 1 No. 4 (2024) Vol. 1 No. 3 (2024) Vol. 1 No. 2 (2024) Vol. 1 No. 1 (2024) More Issue