Assessing the stakeholders' perception on rice husk ash as supplementary cementitious material using the latent dirichlet allocation model

Clicks: 10
ID: 285089
2022
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #882 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Rice husk ash (RHA) is a byproduct of the rice milling process and is produced through the controlled combustion of the rice husk. Given its high silica content, it is a material that is beneficiary to ordinary Portland cement (OPC). Many studies have been conducted on this material in other parts of the world and is already being implemented, but the researchers have observed that this material is not commonly used in the local construction industry despite the Philippines being a rice-producing nation. The researchers hypothesize that this is due to the lack of research, as stakeholders prioritize more traditional methods over more contemporary ones such as RHA. Given this observation, this study aims to assess stakeholders’ current state of awareness, or perception, of RHA as a supplementary cementitious material (SCM). stakeholders were: the academe, professional organizations, and industry. Documents were collected from these stakeholders using these specific keywords: RHA, sustainability, and geopolymer. The collection was used as input data in the MATLAB program, wherein the researchers used the Latent Dirichlet Allocation (LDA) Model to perform bibliometric analysis on the documents. Based on the results, it showed that the academe has the highest organizational maturity level, generating topic models that mentioned RHA the most frequently. This is followed by the industry at the middle level, and lastly the professional organization at the lowest organizational maturity level, due to their lack of data on RHA. An adoption framework was created based on the organizational maturity and trends observed from the results of the study.
Reference Key
persistent_1760654589_68f174fd2e7d5 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rago, Ezra Dela Cruz
Journal Malay Journal
Year 2022
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.