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Record W3162382392 · doi:10.30871/aseect.v1i3.2359

Sistem Pemantauan Faktor Daya Listrik Rumah Tangga Berbasis IoT

2020· article· id· W3162382392 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Sciences Electrical Engineering and Computer Technology · 2020
Typearticle
Languageid
FieldComputer Science
TopicIoT-based Control Systems
Canadian institutionsGiro (Canada)
Fundersnot available
KeywordsOperating systemComputer scienceLaptop

Abstract

fetched live from OpenAlex

Perkembangan teknologi dan IT yang cepat akhir- akhir ini membuat masyarakat semakin erat berhubungan dengan perangkat pintar, big data, cloud, dan IoT. Fenomena ini menyebar lebih cepat berdasarkan infrastruktur komunikasi kabel dan nirkabel yang disediakan untuk pemantauan dan pengaturan peralatan listrik kebanyakan tempat tinggal sebagai perangkat hubung komunikasi ke beberapa perangkat terminal dengan beragam fungsi. Dalam studi ini, sistem pemantauan dalam perbaikan faktor daya pada listrik rumah tangga telah dibuat terintegrasi dengan perangkat IoT sehingga setiap setiap data parameter listrik dan status dari perbaikan faktor daya dapat diakses datanya secara realtime melalui aplikasi web yang bisa diakses dimana pun menggunakan perangkat elektronik seperti smartphone, notebook, laptop dan juga komputer.Dari hasil pengujian menunjukkan bahwa data faktor daya beserta data parameter listrik lainnya dapat diakses datanya secara realtime database dengan aplikasi web dan bisa diakses dimanapun menggunakan perangkat seperti android, notebook, laptop dan juga komputer.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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