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Record W4415379924 · doi:10.63821/ajpkm.v4i1.306

Sistem Monitoring Tanaman Berbasis Internet of Things di SMK Telkom Bandung

2024· article· W4415379924 on OpenAlexaff
Ledya Novamizanti, Suryo Adhi Wibowo, Anggunmeka Luhur Prasasti, Ramah Rinaldi Ruslan, Farhan Ulil Fajri, Aidi Mertu, Muhammad Rafi Mahfuz

Bibliographic record

VenueAlmufi Jurnal Pengabdian Kepada Masyarakat · 2024
Typearticle
Language
FieldComputer Science
TopicIoT-based Control Systems
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsInternet of ThingsArduinoThe Internet

Abstract

fetched live from OpenAlex

Perkembangan teknologi yang sangat pesat mengharuskan kurikulum dan keahlian siswa juga harus mengikuti perkembangan tersebut dengan baik termasuk di Sekolah Menengah Kejuruan (SMK) Telkom Bandung. Pada kegiatan ini, sistem monitoring jarak jauh berbasis Internet of Things (IoT) digunakan dan dapat diakses melalui ponsel. Sekolah Menengah Kejuruan (SMK) Telkom Bandung memiliki program studi Teknik Jaringan Komputer dan Telekomunikasi (TJKT), yang visinya adalah mempersiapkan siswa menghadapi revolusi digital dan memanfaatkan teknologi untuk masa depan yang lebih baik. Pengenalan teknologi IoT dengan perangkat seperti Arduino telah diajarkan di SMK untuk mendukung visi ini. Tim dosen dan mahasiswa Telkom University membuat modul, perangkat dan memberikan workshop tentang pembuatan alat berbasis IoT yang dapat memonitor suhu, kelembaban, kelembaban tanah, dan sensor gerak melalui ponsel sebagai bagian dari program pengabdian masyarakat. Peserta aktif terlibat dalam kegiatan ini dan memberikan feedback positif, menciptakan kesan inovatif yang baik. Kegiatan serupa diharapkan dapat terus dilakukan untuk mendukung pendidikan vokasi.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.005

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 head0.236
Teacher spread0.221 · 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
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
Published2024
Admission routes1
Has abstractyes

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