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Record W3003216883

RESERVASI DAN BILLING POST OF TRANSACTION RESTAURANT GRAHA KARDOPA BINJAI SECARA ONLINE

2020· article· en· W3003216883 on OpenAlexaff
Nurhasanah Aula, Achmad Fauzi, Akim Manaor Hara Pardede, Yani Maulita, Relita Buaton

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDecision Support System Applications
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsReservationDatabase transactionComputer scienceDatabase
DOInot available

Abstract

fetched live from OpenAlex

Hotel Graha Kardopa is a Hotel located in Binjai, North Sumatra. System Information about reservation and billing in this Hotel still use manual system, where the way is still be regarded very slowly. To facilitate the processing of billing in need of Information System Reservation and Billing Post Of Transaction Restaurant Graha Kardopa Binjai. Based on the problems that have been in carefully by the author, the authors designed the Information Systems Reservation And Billing Post Of Transaction Restaurant Graha Kardopa Binjai. The result of this research is to facilitate the processing of Reservation and Billing Restaurant Hotel Graha Kardopa Binjai. The purpose of this Final Project is to make an Information System Reservation and Billing Post Of Transaction Restaurant Graha Kardopa Binjai, by using PHP and MySql-based programming Web that can help the process of restaurant reservation processing to be effective and efficient.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0600.019

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 head0.060
GPT teacher head0.259
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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