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Record W4389395890 · doi:10.31219/osf.io/yfcqb

Analisis Study Kelayakan Bisnis Pada UMKM Crystal Shoes Care Ditinjau Dari Aspek Finansial dan Non-Finansial

2023· preprint· id· W4389395890 on OpenAlexaff
Nurlia Eka Damayanti, Andre Setyawan S, Galadis Galadis, Gesyika Celsia, Mercy Suhesti, Muhammad Ilham Rizky, Niken Tinaomi Panjaitan

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsHealth PEI
Fundersnot available
KeywordsBusinessBusiness administrationAgricultural scienceBiology

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk menganalisis kelayakan pendirian usaha kecil-kecilan produk perawatan sepatu bernama Crystal Shoes Care. Produk ini dirancang dan diproduksi oleh usaha kecil dan menengah (UKM) di Indonesia. Analisisnya melibatkan penilaian aspek finansial dan non-finansial bisnis. Evaluasi finansial mencakup proyeksi keuangan, pemasaran dan berdasarkan riset dan asumsi pasar. Evaluasi non finansial mengkaji kemampuan SDM perusahaan, lingkungan perusahaan, Budaya dan Hukum dari perusahaan. Hasilnya menunjukkan bahwa usaha ini layak secara finansial mengingat proyeksi volume penjualan dan biaya. Keunikan produk, pengalaman pemilik, dan potensi pertumbuhan pasar juga mendukung kasus bisnis. Namun, persaingan dari merek-merek mapan merupakan sebuah risiko. Secara keseluruhan, studi ini menemukan bahwa pendirian UKM Perawatan Sepatu Kristal layak dilakukan, namun faktor keberhasilannya mencakup pemasaran yang kuat, menjaga kualitas produk, dan permodalan yang memadai. Analisis tersebut memberikan wawasan bagi pemilik mengenai kelayakan dan kunci sukses meluncurkan bisnis produk perawatan sepatu ini. Penelitian ini menggunakan metode kualitatif deskriptif karena bertujuan untuk mendapatkan informasi yang relevan bagi peneliti dalam menjelaskan analisis study kelayakan bisnis pada UMKM Crystal Shoes Care jika ditinjau dari aspek finansial dan non-finansial. Berdasarkan sumbernya, data dalam artikel ini menggunakan data primer, yaitu data yang diperoleh secara langsung dari sumber pertama yang dikumpulkan peneliti melalui wawancara secara langsung kepada owner dan pegawai Crystal Shoes Care.

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)0.002
metaresearch head score (Gemma)0.001
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)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.304
Teacher spread0.267 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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