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Record W7155962618 · doi:10.35718/sepakat.v4i3.8481694

PENGEMBANGAN FASILITAS DI LEMBAGA KESEJAHTERAAN SOSIAL ANAK (LKSA) TARBIYATUL UMMAH GUNA MENINGKATKAN KENYAMANAN

2025· article· W7155962618 on OpenAlexaff
Priyo Wibisono, Jeremy Limant, Nathan Putra Pradipta, Hendry Muhammad Tahir, Syarla Martizha Putria A, Muhammad Qabil Makarim, Dhianisya Shafa Setiadi, Rifqi Fadilah

Bibliographic record

VenueSeminar Nasional Pengabdian Kepada Masyarakat (SEPAKAT) · 2025
Typearticle
Language
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsWork (physics)Social relationSocial environment

Abstract

fetched live from OpenAlex

Program Kuliah Kerja Nyata (KKN) yang dilaksanakan di Lembaga Kesejahteraan Sosial Anak (LKSA) Tarbiyatul Ummah bertujuan untuk meningkatkan kenyamanan, keamanan, dan aksesibilitas lingkungan panti melalui pengembangan fasilitas berbasis kebutuhan lokal. Permasalahan utama yang dihadapi panti, seperti minimnya penerangan jalan, kurangnya identitas visual lokasi, serta terbatasnya ruang terbuka hijau, direspon dengan pendekatan kolaboratif-partisipatif. Kegiatan utama meliputi pemasangan lampu jalan tenaga surya di lima titik strategis, pembuatan dan pemasangan plang nama tempat, serta penanaman pohon produktif. Selain itu, dilakukan kegiatan sosial yang bersifat edukatif dan rekreatif bersama anak-anak panti untuk membangun interaksi yang positif dan mempererat hubungan emosional. Hasil dari program menunjukkan peningkatan signifikan dalam aspek visibilitas lokasi, keamanan malam hari, serta kualitas lingkungan dan relasi sosial. Program ini menjadi bukti bahwa keterlibatan aktif mahasiswa dalam pengabdian masyarakat dapat menghasilkan dampak berkelanjutan dan memberdayakan lembaga sosial secara nyata.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0080.003
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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 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
Published2025
Admission routes1
Has abstractyes

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