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Record W4310793968 · doi:10.25157/jimag.v9i3.8727

STRATEGI PENGEMBANGAN USAHA AGROINDUSTRI OPAK KETAN DI KABUPATEN TASIKMALAYA (STUDI KASUS DI DUSUN CIPERTANI DESA KARANGMEKAR KECAMATAN KARANGNUNGGAL)

2022· article· id· W4310793968 on OpenAlexaff
Ferdiansyah Ferdi Dwi Permana, Dini Rochdiani, Benidzar M Andrie

Bibliographic record

VenueJURNAL ILMIAH MAHASISWA AGROINFO GALUH · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesMathematicsPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Opak ketan adalah sejenis makanan kecil yang terbuat dari bahan yang mengandung pati cukup tinggi. Tujuan dari penelitian ini adalah untuk mengetahui : (1) mengetahui faktor kekuatan dan kelemahan apa saja yang ada didalam pengembangan usaha agroindustri opak ketan di Dusun Cipertani, Desa Karangmekar, Kecamatan Karangnunggal, (2) mengetahui faktor peluang dan ancaman apa saja yang ada didalam pengembangan usaha agroindustri opak ketan di Dusun Cipertani, Desa Karangmekar, Kecamatan Karangnunggal, (3) menentukan strategi yang tepat dalam upaya pengembangan usaha agroindustri opak ketan di Dusun Cipertani, Desa Karangmekar, Kecamatan Karangnunggal. Metode penelitian yang digunakam dalam penelitian ini adalah studi kasus. Data yang diperoleh terdiri dari data primer dan data sekunder. Sampel pada penelitian ini yaitu pemilik usaha agroindustri opak ketan dipilih dengan cara purposive sampling dengan pertimbangan bahwa pemilik agroindustri opak ketan sudah lama berdiri sejak tahun 2004 dan pelopor usaha opak ketan di Dusun Cipertani. Hasil penelitian ini menunjukan bahwa strategi pengembangan usaha agroindusti opak ketan yang dapat dilakukan adalah strategi SO yang mana agroindustri dapat meningkatkan pangsa pasar hingga keluar daerah Mempertahankan kualitas produk dan menjaga produk pangan lokal , yang sesuai dengan posisi kuadran I agresif

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), 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 score0.263
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
Bibliometrics0.0010.005
Science and technology studies0.0070.001
Scholarly communication0.0030.003
Open science0.0040.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.035
GPT teacher head0.271
Teacher spread0.236 · 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
Published2022
Admission routes1
Has abstractyes

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