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Record W4389919376 · doi:10.47776/praxis.v2i2.756

PENDAMPINGAN RINTISAN UMKM KERUPUK IKAN DI DESA SELETRENG KECAMATAN KAPONGAN KABUPATEN SITUBONDO

2023· article· id· W4389919376 on OpenAlexaff
Angga Dimas Hermawan, Rizqi Ainur Hendrawan, Sari Rahmawati Putri, Amelia Wulandari, Bambang Sugiarto, Krisna Arga Saputra

Bibliographic record

VenuePRAXIS Jurnal Pengabdian kepada Masyarakat · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsForestryHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Desa Seletreng Kecamatan Kapongan Kabupaten Situbondo ialah suatu wilayah dengan geografis pesisir pantai. Kondisi semacam itu tentunya memberikan limpahan hasil laut yang kemudian secara tidak langsung akan memunculkan usaha rumahan pengolah hasil perikanan. Usaha yang ada masih berupa usaha rintisan rumahan atau baru melakukan produksi berskala kecil. Adanya usaha kecil atau UMKM yang baru terbentuk tentu memiliki beberapa permasalahan yang membutuhkan pendampingan dan penguatan. UMKM yang baru berdiri pada umumnya masih belum mempunyai legalitas, bahan baku utama yang berupa ikan yang telah dipilih hanya diperoleh pada musim tertentu, dan kurangnya kemampuan dalam aspek branding maupun digital marketing. Penguatan UMKM ini memiliki tujuan agar UMKM yang baru berdiri mampu bersaing dan berkualitas dengan cara 1) Pendampingan dalam pengurusan legalitas UMKM berupa Nomor Induk Berusaha, SPP-IRT, dan Sertifikasi Halal, 2) Inovasi bahan baku pengganti, 3) Pendampingan dan pelatihan dalam membranding produk dan digital marketing. Pengabdian yang dilakukan dalam program KKN UNEJ Membangun Desa (UMD) memiliki target capaian, yaitu UMKM yang telah mendapatkan pendampingan maupun penguatan dapat bersaing dan memiliki kualitas tinggi. Keberlanjutan juga menjadi sorotan serius agar UMKM dalam segi pemasaran dapat terus berjalan, yaitu dengan memberikan pelatihan terhadap pelaku usaha dalam pengoperasian market place.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.005
Science and technology studies0.0040.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.007

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 head0.030
GPT teacher head0.284
Teacher spread0.254 · 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 designObservational
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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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