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Record W3013978878 · doi:10.37695/pkmcsr.v2i0.327

Perumusan Strategi Bumdes Tarumajaya Kawasan Hulu Sungai Citarum Kabupaten Bandung

2019· article· id· W3013978878 on OpenAlexaff
Ellen Rusliati, Mulyaningrum Mulyaningrum

Bibliographic record

VenueProsiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Pengabdian ini dimaksudkan agar BUMDES Tarumajaya menjadi outlet bagi produk yang dihasilkan penduduk setempat dan memiliki kinerja yang baik, sehingga dapat berkontribusi pada peningkatan kesejahteraan penduduk. Program normalisasi dan rehabilitasi kawasan hulu sungai Citarum menuntut peran masyarakat agar memberi kontribusi pada normalisasi dan rehabilitasinya. Metode yang dilakukan dengan survey, wawancara, serta pelatihan mengenai manajemen bisnis yaitu memanfaatkan peluang dengan memanfaatkan potensi yang dimiliki. Hasil identifikasi menunjukkan peluang dan kekuatan lebih banyak daripada ancaman dan kelemahannya. Matrik eksternal menunjukkan total skor 2,36 dan matriks internal 2,31. Berdasarkan analisis eksternal internal, menunjukkan BUMDES Tarumajaya berada pada kuadran V, yaitu ditahan dan dijaga, serta strategi yang tepat adalah penetrasi pasar dan pengembangan produk. Program yang dapat dilakukan, antara lain melakukan aktivitas pemasaran dengan memanfaatkan perkembangan teknologi informasi termasuk di dalamnya penelusuran alternatif pengembangan produk baru, sehingga dapat meningkatkan keragaman dan kualitas produk yang dijual serta memahami perkembangan selera konsumen dan pesaing.

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)0.011
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.004
Science and technology studies0.0060.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.068
GPT teacher head0.288
Teacher spread0.220 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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