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Record W4281742769 · doi:10.31942/ce.v7i1.6552

ANALISIS USAHA PENGOLAHAN KERIPIK PISANG COKLAT DI KABUPATEN WAY KANAN PROVINSI LAMPUNG

2022· article· id· W4281742769 on OpenAlexaff
Tata Cornelia Setyawati, Lutfi Aris Sasongko, Hendri Wibowo, Aniya Widiyani

Bibliographic record

VenueCENDEKIA EKSAKTA · 2022
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsMathematics

Abstract

fetched live from OpenAlex

Keripik pisang coklat merupakan jenis makanan ringan terbuat dari buah pisang yang diiris dan digoreng diberi rasa coklat. Penelitian ini bertujuan untuk menentukan total biaya, total penerimaan, total pendapatan, nilai BEP dan nilai R/C pada usaha pengolahan keripik pisang coklat di Kabupten Way Kanan Provinsi Lampung. Metode pada penelitian ini adalah deskriptif analitis. Penentuan lokasi menggunakan metode purposive sampling. Pengambilan sampel responden menggunakan metode sensus. Data yang digunakan merupakan data primer dan data sekunder. Hasil yang diperoleh penelitian ini adalah total biaya sebesar Rp 10.151.719/bulan, total penerimaan sebesar Rp14.422.500/bulan, dan total pendapatan sebesar Rp4.362.892/bulan. Nilai Break Even Point (BEP) atas dasar unit adalah sebesar 810 bungkus/bulan dengan masing-masing berat perbungkus 250gr. Nilai ini lebih kecil dari pada rata-rata produksi 1163/bulan dan nilai Break Even Point (BEP) atas dasar harga sebesar Rp. 8.650/bungkus. Nilai ini lebih kecil dari harga produk yang sebesar Rp. 12.417. Nilai R/C usaha pengolahan keripik pisang coklat sebesar 1,43. Dari nilai R/C tersebut disimpulkan bahwa usaha pengolahan keripik pisang coklat layak untuk diusahakan karena besar nilai R/C >1. Kata kunci: Keripik Pisang Coklat, Pengolahan, Kabupaten Way Kanan

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.210
Teacher spread0.185 · 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; a candidate call from one teacher head, not a consensus.

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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