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Record W4403083982 · doi:10.60076/indotech.v2i2.660

Kandang Ayam Pintar Berbasis Internet of Thinks Menggunakan NodeMCU ESP8266

2024· article· id· W4403083982 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

VenueIndonesian Journal of Education And Computer Science · 2024
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicDecision Support System Applications
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsComputer scienceThe InternetComputer graphics (images)Operating system

Abstract

fetched live from OpenAlex

Perancangan perangkat kandang ayam pintar berbasis IoT. Sistem perangkat ini menggunakan mikrokontroler NodeMCU ESP8266 yang berfungsi sebagai pengolah data dan pengirim perintah dan juga sebagai penerima jaringan WI-FI. Sistem perangkat kendang ayam pintar ini menggunakan system kontrol menggunakan smartphone android untuk mengontrol dan memonitoring keadaan, kendang ayam pintar ini menggunakan system komunikasi jaringan WI-FI sehingga sistem kendang ayam dan smartphone android dapat terhubung, dalam system kendang ayam pintar ini menggunakan sensor dht11 sebagai pengontrol suhu yang ada di dalam kendang ayam, dan motor servo sebagai penggerak penutup pakan ayam. Supply tegangan yang di gunakan oleh alat ini adalah AC-DC colokan listrik rumah untuk di hububgkan ke lampu, sumber tegangan yang di butuhkan pompa air 5volt. Tegangan AC-DC masuk terlebih dahulu ke rangkaian relay, 5 volt tengangan untuk menghidupkan pompa air. Alat ini dapat diguanakan dengan mudah untuk membantu kegiatan manusia dalam memelihara ayam hanya dengan menggunakan smartphone dan di hubungkan ke WI-FI.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.272
Teacher spread0.258 · 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