PERANCANGAN USER INTERFACE DAN USER EXPERIENCE APLIKASI PENJUALAN FURNITURE INTERIOR & BUILD PADA TOKO STEPLINE MENGGUNAKAN METODE GOAL DIRECTED DESIGN (GDD)
Bibliographic record
Abstract
User Interface (UI) berperan penting dalam memberikan kesan awal yang baik kepada pengguna mulai dari desain visual hingga tata letak tools pada aplikasi mobile. Sedangkan User Experience (UX) membantu membangun interaksi antara pengguna dengan aplikasi mobile, seperti pengalaman yang dialami pengguna dalam menggunakan aplikasi hingga pengalaman untuk menemukan dan memahami informasi yang tersedia. Toko Stepline membutuhkan sebuah perancangan UI/UX dengan tujuan untuk memudahkan pemilik maupun pelanggan dalam proses transaksi yang lebih mudah kedepannya dan untuk memastikan bahwa aplikasi yang akan dibangun sesuai dengan kebutuhan pengguna. Dengan menggunakan metode Goal Directed Design (GDD) peneliti dapat mengetahui kebutuhan apa saja yang diperlukan pengguna. Hasil perancangan ini dilakukan dengan menggunakan metode System Usability Scale (SUS). Metode ini berfokus pada kebutuhan dan tujuan pengguna. dengan melakukan pengujian menggunakan System Usability Scale (SUS) sebagai pengujian hasil penelitian mendapatkan hasil skor 70,5 dengan grade C dikategorikan Acceptable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".