Dependencies
Zero
Python 3 stdlib only
Case Study
Live Data Pipeline
dapus.ekasatrio.id
Academic Bibliography Pipeline + Static Site
Research-data pipeline serving anesthesiology academia: scrapes lecturer rosters from FK UI, fetches their final works from FKUI library SLiMS, scrapes UGM ETD for selected supervisors with full abstracts, then builds a unified single-page static site with search, source filter, year grouping, and lazy-load. Deployed to GitHub Pages on a custom domain. Built using Python 3 standard library only — no external dependencies.
Sources
SLiMS + ETD
FK UI + UGM
Hosting
GitHub Pages
static, custom domain
Key Achievements
- Built deterministic scraping pipeline using only Python standard library — no requests, no BeautifulSoup.
- Unified two heterogeneous data sources (SLiMS HTML + ETD JSON) into one coherent dataset.
- Generated a single-page static site with client-side search, source filter, and year grouping.
- Implemented lazy-load to keep the page responsive with hundreds of bibliography entries.
- Deployed to GitHub Pages with custom domain — zero hosting cost, instant global CDN.
- Optional local PDF download for offline study, kept out of the public deployment.
Tech Stack
9 Python 3 urllib html.parser json Static Site Generation Vanilla JS GitHub Pages SLiMS ETD UGM
- Client
- dr. Eka Satrio Putra, Sp.An-TI
- Domain
- dapus.ekasatrio.id
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