PEMANFAATAN WEBSITE SEBAGAI STRATEGI PEMASARAN UNTUK MENINGKATKAN PENJUALAN USAHA MIKRO KECIL DAN MENENGAH
Bibliographic record
Abstract
Abstrak: Penggunaan teknologi menjadi faktor penting dalam strategi digital marketing UMKM, salah satunya adalah penggunaan website. Namun, hanya sedikit pemilik UMKM yang sudah familiar menggunakan website untuk mendukung penjualan produk, termasuk UMKM Jejukutan. Kegiatan pengabdian masyarakat ini bertujuan untuk memperluas pangsa pasar dan meningkatkan penjualan UMKM. Kegiatan ini sekaligus bertujuan untuk meningkatkan pengetahuan dan kompetensi pemilik UMKM dalam memanfaatkan iptek untuk proses pemasaran. Mitra kegiatan pengabdian ini adalah pemilik UMKM Jejukutan yang berjumlah satu orang. Pelaksanaan kegiatan pengabdian kepada masyarakat meliputi tiga tahapan, meliputi wawancara dan diskusi, perancangan dan pendampingan penggunaan website, serta kegiatan monitoring dan evaluasi. Hasil monitoring dan evaluasi menunjukkan bahwa penggunaan website secara efektif dapat meningkatkan penjualan produk UMKM pada setiap bulannya, yaitu rata-rata sebesar 8,29%. Abstract: The use of technology is an essential factor in the MSME digital marketing strategy, one of which is the use of the website. However, only a few MSME owners are familiar with using the website to support product sales, including Jejukutan MSME. This community service activity aims to expand market share and increase MSME sales. This activity simultaneously aims to increase the knowledge and competence of MSME owners in utilizing science and technology for the marketing process. The partners for this service activity are the owners of Jejukutan SMEs, which amount to one person. The implementation of community service activities includes three stages: interviews and discussions, designing and assisting website use, and monitoring and evaluation activities. The monitoring and evaluation results show that using the website effectively can increase sales of MSME products every month by an average of 8.29%.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.045 | 0.017 |
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".