Meningkatkan Dampak Sosial Media: Konten Berkualitas & Strategi Pemasaran Online di Desa Wisata Mulyaharja Kota Bogor
Bibliographic record
Abstract
ABSTRACT Mulyaharja Tourism Village, located in Bogor City, holds great potential for the development of natural and cultural tourism. However, the use of social media as a promotional tool remains limited. This community service program aims to enhance the capacity of tourism actors and local communities in effectively utilizing social media through training in content creation, digital marketing strategies, and consistent account management. The implementation methods include village potential mapping, social media training, workshops on designing tourism packages, and joint evaluations with participants. The results of the program indicate that although the village’s social media accounts already feature attractive content, consistency in posting and strategic management still needs improvement. With consistent and well-directed use of social media, Mulyaharja Tourism Village is expected to strengthen its tourism appeal while also supporting local economic development Keywoards: Media Social, Training, Marketing ABSTRAK Desa Wisata Mulyaharja, Kota Bogor, memiliki potensi besar dalam pengembangan wisata alam dan budaya, namun pemanfaatan media sosial sebagai sarana promosi masih terbatas. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas pelaku wisata dan masyarakat lokal dalam memanfaatkan media sosial secara efektif melalui pelatihan pembuatan konten, strategi pemasaran digital, serta pengelolaan akun yang konsisten. Metode pelaksanaan meliputi perencanaan potensi desa, pelatihan penggunaan media sosial, workshop penyusunan paket wisata, serta evaluasi bersama peserta. Hasil kegiatan menunjukkan bahwa meskipun akun media sosial desa sudah memiliki konten menarik, konsistensi unggahan dan strategi pengelolaan masih perlu ditingkatkan. Dengan pemanfaatan media sosial yang konsisten dan terarah, Desa Mulyaharja diharapkan mampu memperkuat daya tarik wisata sekaligus mendukung pengembangan ekonomi lokal. Kata Kunci: Media Sosial, Pelatihan, Pemasaran
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".