Harun Al Azies
Biographic Data
| ID | 6955003 |
|---|---|
| NAME | Harun Al Azies |
| GIVEN NAMES | Harun |
| FAMILY NAME | Al Azies |
| SIGNATURE | AL AZIES H |
| AFFILIATIONS | Universitas Dian Nuswantoro |
| ORCID | 0000-0002-3081-4713 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Indonesian Public Sentiment on Disasters
This study analyzes Indonesian public responses to natural disasters using Twitter data through Topic Modeling (LDA) and Sentiment Analysis. The process includes data collection, preprocessing, modeling, and sentiment classification. Tweets with the keyword “bencana” were scraped and prepared for analysis. LDA revealed 15 main topics covering disaster causes, impacts, responses, and resilience. Sentiments were categorized as positive, neutral, or…
A waste Kuznet curve
This empirical study investigates the relationship between the tourism industry and municipal solid waste (MSW) creation in West Nusa Tenggara, Indonesia, to determine whether a Waste Kuznet Curve (WKC) exists. The study runs from 2014 to 2020, using data acquired from several government official websites in ten Regencies/Districts. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) regression approaches were …
No prominent works on this page.
A waste Kuznet curve
This empirical study investigates the relationship between the tourism industry and municipal solid waste (MSW) creation in West Nusa Tenggara, Indonesia, to determine whether a Waste Kuznet Curve (WKC) exists. The study runs from 2014 to 2020, using data acquired from several government official websites in ten Regencies/Districts. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) regression approaches were …
Indonesian Public Sentiment on Disasters
This study analyzes Indonesian public responses to natural disasters using Twitter data through Topic Modeling (LDA) and Sentiment Analysis. The process includes data collection, preprocessing, modeling, and sentiment classification. Tweets with the keyword “bencana” were scraped and prepared for analysis. LDA revealed 15 main topics covering disaster causes, impacts, responses, and resilience. Sentiments were categorized as positive, neutral, or…
Archaeology (1 work) · Computer Science (1 work) · Data science (1 work) · Engineering (1 work) · Geography (1 work) · Indonesian (1 work) · Least-squares function approximation (1 work) · Linguistics (1 work) · Mathematics (1 work) · Municipal Solid Waste Management (1 work)