cover
Contact Name
I Wayan Sutapa
Contact Email
wayansutapa@uho.ac.id
Phone
+6281343001979
Journal Mail Official
wayansutapa@uho.ac.id
Editorial Address
Kampus Hijau Bumi Tridharma, Anduonohu, Kec. Kambu
Location
Kota kendari,
Sulawesi tenggara
INDONESIA
International Journal of Acta Material
Published by Universitas Halu Oleo
ISSN : -     EISSN : 30642396     DOI : https://doi.org/10.62749/ijactmat
Core Subject : Science,
The International Journal of Acta Material (Int. J. Act. Mat) is a bulletin for publishing original and complete papers, short communications as well as review results which aim to disseminate study results (Theoretical or Experiment) to explore of the relationship between processes, structures and properties of the frontier solid and liquid materials. The papers that have the potential for high impact and/or substantially advance the field will be sought. The process studied includes a series of material formation/manufacturing which will be achieved with the instrumentation used. The Journal also addresses a wide variety of subjects that are vital to the field, including but not limited to: Catalysis Material, Membrane Material, Solar cell, Condensed-matter physics, Electronics and device physics material, Absorbent Material, Green chemistry, Information theory and computation material, Nanomaterial, Polymer Material, Quantum physics and quantum technologies, Supramolecular material, Surface chemistry, Theoretical chemistry/physic solid material, Biofuel, Biomass Material.
Articles 31 Documents
Adoption of Computational Response Surface Methodology (RSM) in Asphalt Research I W. Sutapa; Hikmayani; G. R. Lempang; L. O. Kadidae; I N. Sudiana; A. Bandjar
International Journal of Acta Material Vol. 2 No. 2 (2026): February 2026
Publisher : Faculty Mathematics and Natural Sciences, Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62749/ijactmat.v2i2.34

Abstract

Response Surface Methodology (RSM) is a powerful statistical and computational tool used to model and optimize complex systems involving multiple variables and responses. In asphalt research, RSM has gained significant attention for its efficiency in optimizing mix design, evaluating modified asphalt properties, and analyzing the effects of processing and environmental conditions. This review highlights the application of RSM in key aspects of asphalt studies, including experimental design (CCD, BBD, factorial), mathematical modeling, response visualization, and multi-response optimization. The use of RSM enables researchers to identify optimal binder content, additive dosage, and process conditions with reduced experimental effort. Additionally, the integration of RSM with contour and 3D surface plots provides intuitive understanding of parameter interactions. Despite its advantages, RSM faces limitations such as model assumptions, sensitivity to data distribution, and challenges in field validation. Future research is encouraged to combine RSM with artificial intelligence techniques for more robust predictions and to validate laboratory models under real-world conditions. Overall, RSM remains a valuable methodology for advancing asphalt technology, especially in the development of sustainable and high-performance pavement materials.  

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