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Record W4401284581 · doi:10.70124/abditechno.v4i1.1151

PENERAPAN MESIN PENGERING KAYU BERBAHAN BAKAR HYBRID UNTUK MEMPERCEPAT PROSES PRODUKSI RUMAH ADAT MINAHASA

2024· article· id· W4401284581 on OpenAlexaff
Alvito Mamengko

Bibliographic record

VenueAbdi Techno. · 2024
Typearticle
Languageid
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsToxicologyEnvironmental scienceMedicineBiology

Abstract

fetched live from OpenAlex

Rumah adat Minahasa merupakan salah satu ciri khas dari Provinsi Sulawesi Utara, potensi sumber daya alam Indonesia yang berupa kayu sangat potensial untuk dipakai sebagai bahan bangunan. Kayu mempunyai keistimewaan bila dipakai sebagai bahan bangunan, seperti bersifat fleksibel, tidak mudah patah bila terkena beban getaran akibat gempa, mempunyai corak penampilan yang indah untuk dipakai sebagai bahan dekorasi, tidak mengalami korosi akibat kelembaban yang tinggi di daerah tropis, serta kelebihan yang lain. Selain itu, kayu juga mudah didapat di sekitar kita sehingga harganya relatif rendah dibanding bahan bangunan struktural lainnya seperti besi, baja, aluminium, dan lain-lain. CV.Gloria merupakan salah satu pengerajin rumah adat Minahasa, dalam pembuatan rumah adat Minahasa tentunya diperlukan beberapa kriteria bahan baku kayu diantaranya kayu yang siap pakai harus dalam keadaan kering dan minim kadar air, sebab itu tim PKM-PI Pengering Kayu melihat keadaan tersebut sebagai suatu permasalahan, salah satu faktor penghambat pengeringan kayu antara lain curah hujan yang sangat tinggi di Provinsi Sulawesi Utara, dari permasalahan itu tim bertujuan menciptakan sebuah mesin pengering kayu, memanfaatkan sistem perpindahan panas serta pemanfaatan limbah oli bekas dan serbuk sisa serutan kayu.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.209
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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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