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Record W4378364022 · doi:10.56799/joongki.v2i3.1689

Pemberdayaan Masyarakat Melalui Kerajinan Anyaman Bambu Dalam Menambah Pendapatan Ekonomi Masyarakat Desa Bandar Baru

2023· article· id· W4378364022 on OpenAlexaff
Mukmin Pohan, Novien Rialdy, Ami Kumala Sari

Bibliographic record

VenueJoong-Ki Jurnal Pengabdian Masyarakat · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesBaruArtGeographyArchaeology

Abstract

fetched live from OpenAlex

Penelitian kuliah kerja nyata ini dilakukan di desa Bandar Baru kecamatan Sibolangit, kabupaten Deli, sumatera utara. Kuliah kerja nyata ini bertema “Kewirausahaan dan Bisnis” yang bertujuan agar dapat membantu meningkatkan perekonomian dan keterampilan masyarakat, baik dari segi pengelolaan sumber daya alam menjadi sebuah barang yang bisa diperjual belikan. Desa Bandar Baru adalah Desa dengan kawasan pemukiman, terminal, pasar, sarana rekreasi, penginapan- penginapan, dan lahan pertanian. Di Desa Bandar Baru terkenal sebagai tempat wisata yang beragam, mulai dari taman bermain bertaraf Internasional seperti Hillpark, Hotel dan Villa, pertanian sayur-sayuran, taman pramuka yang biasa digunakan intuk kegiatan edukasi atau kegiatan berkemah serta taman wisata sibolangit yang sangat asri dan sejuk. Usaha yang dilakukan warga setempat adalah anyaman bambu yang sudah menjadi usaha sehari-hari masyarakat Desa Bandar. Dengan adanya pemberdayaan dan pemanfaatan Bambu ini maka dapat membantu menghasilkan pendapatan. Penelitian ini menggunakan metode observasi.

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)0.010
metaresearch head score (Gemma)0.003
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), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.006
Science and technology studies0.0060.002
Scholarly communication0.0050.004
Open science0.0040.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.012

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 head0.280
Teacher spread0.252 · 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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