The project scope was driven by explicit Dicoding requirements around ES6, custom elements, Webpack, and AJAX-driven dynamic data.
CineBlue
CineBlue is promoted from recovered remote evidence only: the local archive is empty, while the README, package metadata, Webpack configs, and source tree still document the submission clearly.
A source-backed case study built for recruiter review
This reading path makes the problem choice, evidence quality, user framing, execution decisions, and proof trail visible without overstating what the sources support.
Dicoding front-end course submission for a movie search web app with movie listing, title search, genre filtering, responsive UI, and Webpack-based delivery scripts.
Provides a source-backed frontend delivery artefact that demonstrates API-backed UI composition, custom elements, responsive layout work, and reviewer-oriented setup documentation.
Vanilla JavaScript application initialized from `src/app.js`, composed with custom elements, backed by TMDB fetch calls in `data-source.js`, styled with CSS and Bootstrap, and bundled through Webpack common/dev/prod configs.
Problem framing before execution
The case-study layer starts with why this problem was selected and how the context justified investment.
Problem Framing Map
The course submission required a custom dynamic frontend that combined ES6, custom elements, Webpack, and AJAX data flow in one coherent app.
CineBlue is reconstructed from remote source evidence, so the portfolio framing must stay tightly bound to what the README, source tree, and configs explicitly prove.
It is worth highlighting because it shows disciplined frontend delivery under explicit technical constraints while also demonstrating conservative evidence handling.
Problem statement
The Dicoding fundamental front-end submission required a custom web application that used ES6 JavaScript, custom elements, Webpack, and AJAX-driven dynamic data.
Solution thesis
Built a movie-search web app that renders popular movies, handles title search, supports genre-based discovery, and bundles the app through separate development and production Webpack configs.
What supports the narrative
Evidence is surfaced with its source type and credibility note so the recruiter can quickly see what is directly backed versus intentionally constrained.
Movie listing, title search, genre search, and responsive display are all documented in source-backed materials.
Credibility Notes
- ●Because the local archive is empty, every public claim stays constrained to recovered remote evidence only.
- ●No user adoption, API quota, or production usage claim is made for this project.
User framing stays explicit
When formal research artefacts are not available, the page still explains who the work served and why that user framing is justified by the existing sources.
The documented feature set centers discovery interactions rather than account or transaction flows.
The submission criteria are explicit and meaningfully shaped the implementation choices.
How design thinking translated into decisions
The goal is to show the trace from research and insight to concrete product or system decisions, then to the outcomes those decisions supported.
Design Thinking Flow
Each step keeps the movement from evidence to action explicit before the rationale expands it.
- Step 1Constraint framing
Used course requirements as the baseline definition of what the product needed to prove.
Signal: Technical constraints became part of the product framing. - Step 2Interaction design
Centered the UI around browsing, searching, and filtering so dynamic data handling remained visible to reviewers.
Signal: Feature scope maps directly to the app's API-backed interactions. - Step 3Delivery packaging
Separated development and production build behavior through dedicated Webpack configs.
Signal: Implementation quality is visible at both UI and delivery-tooling levels.
Decision Rationale
Each decision keeps the path from insight to execution visible before ending on the outcome signal.
A componentized structure was needed without moving away from the required vanilla frontend stack.
Used custom elements for UI composition.
The app remains aligned with the submission requirements while keeping the interface modular.
Frontend review quality depends on both runtime behavior and build discipline.
Used common, dev, and prod Webpack configs.
The project demonstrates delivery-oriented frontend thinking, not just page rendering.
Execution choices and delivery details
This section preserves the technical and operational substance: architecture, responsibilities, trade-offs, and implementation quality signals.
System Design
Vanilla JavaScript application initialized from `src/app.js`, composed with custom elements, backed by TMDB fetch calls in `data-source.js`, styled with CSS and Bootstrap, and bundled through Webpack common/dev/prod configs.
Source-backed Impact
Provides a source-backed frontend delivery artefact that demonstrates API-backed UI composition, custom elements, responsive layout work, and reviewer-oriented setup documentation.
Responsibilities
- ●Implemented the movie list and search interactions
- ●Composed UI sections with custom elements
- ●Configured Webpack development and production builds
- ●Documented setup commands and submission criteria in the README
Stack Decisions
- ●Used vanilla custom elements to satisfy the course component requirement without adding a UI framework
- ●Used Webpack common/dev/prod configs to separate development serving from production bundling
- ●Used package-managed Bootstrap and jQuery rather than CDN-only dependencies
- ●Used fetch-based AJAX calls to populate movie data from TMDB endpoints
Trade-offs
- ●Kept the portfolio framing limited to source-visible course delivery evidence because the canonical local archive is empty
- ●Avoided live deployment and business-impact claims because the available sources only prove repository, submission, and implementation scope
Challenges
- ●Connecting dynamic movie data to custom elements while keeping the app understandable for reviewers
- ●Maintaining separate Webpack development and production paths in a coursework-sized frontend project
What was delivered and what can be verified
Outcome claims remain conservative and source-backed, while proof records and recruiter-safe links surface the strongest verification trail available.
Validation Signals
- ●Recovered README documents movie list, title search, genre search, and responsive display.
- ●Package metadata and Webpack configuration files are preserved in the remote source record.
Source-backed Outcomes
- ●README documents movie list, title search, genre search, and responsive display features
- ●Submission criteria checklist covers ES6 syntax, custom elements, Webpack, and AJAX dynamic data
- ●Package metadata includes Webpack, Babel, Bootstrap, jQuery, ESLint, and regenerator-runtime dependencies
- ●README includes rating screenshot and certificate image references for the Dicoding submission context
Proof
- Dicoding Front-End Submission
README documents fulfilled submission criteria for Belajar Fundamental Front-End Web Developer
Dicoding Academy
Links
What the project proves, and what it does not
Strong case studies show both what was learned and where the current evidence stops.
Retrospective
Next iteration should rebuild a complete local archive, remove exposed API keys from source history if still active, and add neutral architecture diagrams before claiming stronger operational readiness.
Evidence Limits
- ●The local archive is empty, so this project depends on remote evidence rather than a complete local source tree.
- ●Current sources do not prove production deployment, user testing, or traffic outcomes.
Lessons
- ●Reviewer-facing README evidence can make a course artefact portfolio-safe even when local archive recovery is incomplete
- ●Frontend submissions are stronger when UI features, build tooling, and source-level implementation are documented together