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Record W4389110939 · doi:10.35326/pkm.v6i2.2578

PERLINDUNGAN MERK DAGANG DAN PEMASARAN UMKM DESA MAYANG KECAMATAN GATAK KABUPATEN SUKOHARJO

2022· article· id· W4389110939 on OpenAlexaff
I Gusti Putu Diva Awatara, Linda Nur Susila

Bibliographic record

VenueJurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsBusinessHumanitiesArt

Abstract

fetched live from OpenAlex

Merek dagang adalah aset penting untuk dilindungi sebagai bagian dari upaya untuk suatu produk dengan produk lainnya. Pentingnya perlindungan ini tidak hanya untuk para pelaku usaha besar namun juga para pelaku usaha UMKM. Selama ini, para pengusaha UMKM lebih mementingkan berjualan terlebih dahulu daripada melindungi merek dagangnya. Program Pengabdian ini bertujuan untuk meningkatkan perlindungan merk dagang dan pemasaran UMKM Desa Mayang Kecamatan Gatak Kabupaten Sukoharjo.
 Tahapan kegiatan yang dilakukan adalah melakukan pembinaan dan pelatihan pada anggota kelompok masyarakat atau UMKM yang ada di Desa Desa Mayang Kecamatan Gatak Kabupaten Sukoharjo tentang kepemilikan hak kekayaan intelektual oleh masyarakat khususnya merek produk kuliner di Desa Mayang Kecamatan Gatak Kabupaten Sukoharjo, selanjutnya melakukan pendampingan dalam pemasaran. Keseluruhan kegiatan dilaksanakan oleh Tim.
 Hasil pelaksanaan kegiatan pengabdian ini dapat memberikan hasil peningkatan kepemilikan hak kekayaan intelektual oleh UMKM Desa Mayang Kecamatan Gatak Kabupaten Sukoharjo, selanjutnya melakukan pendampingan dalam pemasaran.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0070.001
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.027
GPT teacher head0.264
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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