Analisis Efektivitas Pelaksanaan Bauran Promosi Pada Hotel The Lombok Lodge Dengan Menggunakan Metode Epic Model
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
Dalam pelaksanaan promosi hotel The Lombok Lodge, hotel tersebut menerapkan promosi melalui periklanan, promosi penjualan, penjualan pribadi dan pemasaran langsung, dimana periklanan dilakukan melalui katalog, promosi penjualan dilakukan melalui pemberian potongan harga sewa, penjualan pribadi dilakukan melalui agen marketing dan pemasaran langsung dilakukan melalui customer service. Terdapat beberapa metode yang dapat digunakan untuk menganalisis efektivitas bauran promosi berdasarkan dampak komunikasi yang ditimbulkan, yaitu: MMP (Media Mix Planing), CRI (Costomer response index), DRM (Direct rating method) dan EPIC Model.EPIC Model yang digunakan untuk mengukur efektivitas bauran promosi yang mencakup empat dimensi kritis, yaitu: empati (empathy), persuasi (persuasion), dampak (dampak) dan komunikasi (communication).Pada penelitian ini jenis data yang digunakan adalah data kualitatif yang dikuantitatifkan.Jenis penelitian yang digunakan adalah penelitian deskriptif eksploratif.Secara keseluruhan pelaksanaan bauran promosi pada hotel The Lombok Lodge telah efektif, terbukti dari hasil analisis EPIC Model secara keseluruhan sebesar 4.01, nilai tersebut masuk dalam rentang skala penilaian 3.41 – 4.20 (Efektif).
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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