Peningkatan Consumer Value Produk Olahan Pisang Untuk Meningkatkan Daya Saing Industri Rumah Tangga di Kecamatan Jatigede Kabupaten Sumedang
Bibliographic record
Abstract
Berkembangnya pariwisata di kawasan waduk Jatigede membawa peluang bagi berkembangnya sektor usaha lain. Usaha produk olahan pisang berpeluang besar untuk dapat dijadikan oleh-oleh bagi wisatawan yang berkunjung ke waduk Jatigede. Namun saat ini, industri rumah tangga belum mampu menciptakan produk dapat berdaya saing dan bernilai jual. Kegiatan pengabdian pada masyarakat ini bertujuan untuk meningkatkan nilai jual dan daya saing produk olahan pisang, melalui kegiatan peningkatan consumer value. Mitra dalam kegiatan ini adalah pelaku industri kecil dan rumah tangga di Desa Mekar Asih Kecamatan Jatigede Kabupaten Sumedang. Metode pelaksanaan yang dilakukan diantara adalah pelatihan dan penyuluhan desain produk yang menarik, keamanan pangan, serta pendaftaran sertifikasi PIRT sebagai jaminan keamanan produk; selain itu mitra juga diberi fasilitas alat dan tempat produksi yang menunjang keamanan pangan. Hasil kegiatan menunjukkan bahwa mitra sudah mampu menghasilkan produk yang memiliki nilai jual dan berdaya saing, melalui perbaikan standar keamanan pangan dan juga perbaikan kemasan produk. Beberapa mitra juga sudah mendapatkan sertifikat PIRT. Meskipun demikian, mitra masih memerlukan pendampingan serta bantuan untuk memperluas pangsa pasar produk olahan pisang.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 0.013 |
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".