ANALISIS USER EXPERIENCE PADA GAME FIFA MOBILE DENGAN MENGGUNAKAN METODE GAME DESIGN FACTORS QUESTIONNAIRE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
FIFA Mobile merupakan permainan yang bertemakan simulasi sepak bola yang \ndikembangkan oleh EA Sports dan EA Canada diterbitkan oleh EA Sports untuk \nperangkat IOS dan Android pada Oktober 2016. Penelitian ini menganalisis kualitas \nUser Experience pada gim FIFA Mobile berdasarkan pengalaman pengguna \nmenggunakan metode Game Design Factors Questionnaire. Penelitian ini \ndilakukan secara kuantitatif. Teknik penentuan sampel dan populasi menggunakan \nSimple Random Sampling dengan total responden yang didapat sebanyak 105 responden dengan menggunakan rumus Lemeshow karena total populasi tidak \ndiketahui. Hasil analisis menunjukkan kategori cukup baik mendominasi pada \npermainan FIFA Mobile dengan total 7 faktor seperti game goals, game mechanism, interaction, freedom, game fantasy, sensation, dan mystery untuk dikembangkan lebih baik lagi
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it