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Record W3182409767 · doi:10.31479/dedikasi.v1i2.79

Pelatihan Pemanfaatan Website Sebagai Media Informasi Kegiatan Karang Taruna di Komplek PGRI Bogor

2021· article· id· W3182409767 on OpenAlexaff
Chandra Nur Khairina, Dwi Cahyo Purnomo Putro, Reina Aprilia Putri, Rendy Firmansyah, Yosen Soleman Awang, Sukmawati Anggraeni Putri

Bibliographic record

VenueDedikasi Jurnal Pengabdian kepada Masyarakat · 2021
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsComputer sciencePhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Saat ini perkembangan teknologi sangat cepat maka dari itu perkembangan dalam memberikan informasi juga harus mengikuti zaman. Dalam jurnal ini akan dijelaskan bagaimana proses dalam pembuatan sistem informasi berbasis website. Metode ini akan membantu memberikan informasi dari Karang Taruna Komplek PGRI Bogor suatu paguyuban masyarakat yang berada di wilayah kecamatan Bogor Utara, kelurahan Kedunghalang, RT. 003 RW. 012, yang bertujuan untuk membantu warga yang berada di wilayah tersebut dalam mengembangkan potensi yang dimilikinya dalam berbagai bidang serta untuk membagikan berita terkini. Pelaksanaan kegiatan pengabdian masyarakat ini yang dilaksanakan secara virtual melalui zoom meeting berupa sosialisasi dan pelatihan dngan menggunakan multimedia pembelajaran interaktif yang dapat membantu menyajikan materi dengan mudah dipahami. Dengan adanya website tersebut diharapkan dapat membantu karang taruna dalam menyampaikan dan menyimpan informasi yang dapat diakses di mana pun dan kapan pun melalui Handphone, Laptop ataupun Notebook yang terhubung ke Internet.

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)0.002
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: Other
Teacher disagreement score0.111
Threshold uncertainty score0.373

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1110.040

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 head0.032
GPT teacher head0.282
Teacher spread0.250 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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