## 2 Materials and Methods
### Data Collection  
The dataset consisted of 10,000 student reviews collected from academic portals of higher education institutions across Indonesia. These reviews encompassed diverse aspects of the learning experience, such as teaching quality, curriculum relevance, infrastructure, and administrative services. Data collection employed web scraping techniques, adhering to ethical guidelines to protect privacy and comply with institutional policies. Stratified sampling ensured a balanced representation of geographic regions and academic disciplines. These portals were selected as students widely use them to provide feedback on their learning experiences, including evaluations of teaching, facilities, curriculum, and services. The data were sourced using web scraping techniques, adhering to ethical guidelines to ensure data privacy and compliance with institutional policies. To ensure the representativeness of the dataset, data were collected from a diverse range of universities, including public and private institutions, across different geographic regions in Indonesia. The dataset includes universities from Java 50%, Sumatra 20%, Kali  
Figure 1: The stages of this research. mantan 10%, Sulawesi 10%, and Bali and Nusa Tenggara 10%. This geographic distribution reflects the diversity of higher education contexts in Indonesia. Reviews were stratified by discipline to avoid bias toward any specific field. The dataset includes reviews from students in Engineering and Science 25%, Social Sciences and Humanities 25%, Education 25%, and Health Sciences 25%. Stratified random sampling was employed to ensure proportional representation from each discipline and region. The reviews cover a wide range of aspects relevant to learning evaluation, including teaching quality, accessibility of campus facilities, ease of accessing academic information, learning environment, curriculum relevance, and administrative services. Preprocessing steps, such as normalization and tokenization, addressed linguistic variations, including informal and formal expressions common in Indonesian student feedback. The distribution of student review data can be seen in the table below. The detailed distribution of the dataset by type of university is shown in Table 1.  
The dataset is distributed across various geographic regions in Indonesia. The detailed distribution of the dataset by geographic region is shown in Table 2.  
The detailed distribution of the dataset by academic discipline is presented in Table 3. \begin{table}
\begin{tabular}{c c c c} \hline
**Type of University** & **Number of Reviews** & **Percentage (\%)** & **Type of University** \\ \hline Public University & 6000 & 60\% & Public University \\ Private University & 4000 & 40\% & Private University \\ Total & 10,000 & 100\% & \\ \hline \end{tabular}
\end{table} 
Table 1: Dataset distribution by type of university. \begin{table}
\begin{tabular}{c c c c} \hline
**Geographic** & **Number of Reviews** & **Percentage** & **Geographic** \\ \hline Java & 5000 & 50\% & Java \\ Sumatra & 2000 & 20\% & Sumatra \\ Kalimantan & 1000 & 10\% & Kalimantan \\ Sulawesi & 1000 & 10\% & Sulawesi \\ Bali and & 1000 & 10\% & Bali and \\ Nusa Tenggara & & & Nusa Tenggara \\ Total & 10,000 & 100\% & Total \\ \hline \end{tabular}
\end{table} 
Table 2: Dataset distribution by geographic region. \begin{table}
\begin{tabular}{c c c c} \hline
**Academic Discipline** & **Number of Reviews** & **Percentage (\%)** & **Academic Discipline** \\ \hline Engineering and & & & \\ Science & 2500 & 25\% & Engineering and \\ Social Sciences & 2500 & 25\% & Social Sciences \\ Education & 2500 & 25\% & Education \\ Health Sciences & 2500 & 25\% & Health Sciences \\ Total & 10,000 & 100\% & Total \\ Engineering and & & & \\ Science & 2500 & 25\% & Engineering and \\ Social Sciences & 2500 & 25\% & Social Sciences \\ \hline \end{tabular}
\end{table} 
Table 3: Dataset distribution by academic discipline. The dataset is further analyzed by evaluated aspects, including Teaching, Curriculum, Infrastructure, and Services.