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Record W4283695993 · doi:10.35931/aq.v16i5.1161

Persepsi Wirausahawan terhadap Perkembangan Usaha di Masa Pandemi Covid-19

2022· article· id· W4283695993 on OpenAlexaff
Juni Artha Juneli, Fanny Destiani, Ammalia Syifa Awaliyah, Dadan Nugraha

Bibliographic record

VenueAl Qalam Jurnal Ilmiah Keagamaan dan Kemasyarakatan · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsPhilosophy

Abstract

fetched live from OpenAlex

<p class="abstrak">Persepsi diartikan sebagai suatu proses mengenali, menyusun serta menafsirkan suatu informasi guna memberikan pemahaman yang berguna mengenai informasi tersebut. Penelitian ini mengangkat mengenai persepsi wirausahawan terhadap usaha dimasa pandemi. Penelitian ini bertujuan untuk mengetahui apa saja yang dirasakan wirausahawan terhadap kegiatan usahanya selama pandemi ini. Partisipan pada penelitian ini adalah satu orang wirausahawan dengan kegiatan usaha membuka warung kecil di rumah pribadinya yang berada di wilayah, Kabupaten Sumedang, Jawa Barat. Pengambilan data dilakukan dengan menggunakan teknik kuisioner dan observasi serta dilaksanakan dengan cara wawancara secara langsung kepada pelaku usaha. Pendekatan yang digunakan yaitu pendekatan kualitatif dan desain penelitiannya adalah studi kasus. Masa pandemi saat ini dikatakan membawa dampak buruk bagi pelaku usaha. Sebab, dengan adanya masa pandemi penghasilan yang didapat menjadi berkurang dari yang biasanya. Selain itu, dikarenakan banyaknya orang yang mengalami PHK maka persaingan dagang dilingkungan pun semakin merebak. Hal tersebut menjadikan pelaku usaha untuk lebih keras lagi memutar pikiran guna menghadapi persaingan pasar dan menstabilkan pendapatan.</p>

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)0.006
metaresearch head score (Gemma)0.002
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 score0.543
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0080.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0000.003
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 head0.037
GPT teacher head0.302
Teacher spread0.265 · 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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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