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Sosialisasi Pengolahan Air Tanah di Kelurahan Borongloe Kecamatan Bontomarannu Kabupaten Gowa

2022· article· id· W4415128648 on OpenAlexaff
Roslinda Ibrahim, Mary Selintung, Achmad Zubair, N A P Mangarengi, Nurjannah Oktorina Abdullah

Bibliographic record

VenueJURNAL TEPAT Applied Technology Journal for Community Engagement and Services · 2022
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAir purifierParticulatesAir filter

Abstract

fetched live from OpenAlex

Air tanah merupakan salah satu sumber air bersih yang banyak digunakan oleh masyarakat di Indonesia termasuk di Kelurahan Borongloe Kecamatan Bontomarannu Kabupaten Gowa. Namun, pemanfaatan air tanah sering mengalami permasalahan karena adanya kandungan besi (Fe) dan mangan (Mn) dalam air tanah yang dapat menimbulkan gangguan kesehatan jika dikonsumsi secara terus menerus. Keberadaan kedua zat tersebut dalam air tanah menyebabkan warna air berubah menjadi kuning - coklat setelah beberapa saat kontak dengan udara. Selain itu, sering timbul bau yang kurang sedap dan menimbulkan bercak kuning pada pakaian dan wadah penampungan air. Tujuan kegiatan ini adalah meningkatkan pengetahuan dan pemahaman masyarakat Kelurahan Borongloe mengenai persyaratan kualitas air bersih dan teknologi pengolahan air tanah. Metode yang digunakan untuk mencapai tujuan yang telah ditetapkan adalah dengan cara melaksanakan sosialisasi pengolahan air sumur menggunakan saringan pasir silika, mangan zeolit dan karbon aktif. Kegiatan sosialisasi dilaksanakan di kantor lurah Borongloe, dihadiri oleh dua puluh lima orang peserta. Antusias peserta sangat tinggi dalam mengikuti sosialisasi, hal ini terlihat dari keseriusan dalam menerima materi dan keinginan mengajukan pertanyaan pada saat kegiatan berlangsung. Hasil post test menunjukkan bahwa 50% – 80% peserta sangat memahami materi sosialisasi yang meliputi persyaratan kualitas air bersih cara pembuatan dan media filter air bersih serta pengoperasian dan pemeliharaan filter air bersih.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0130.001
Scholarly communication0.0010.001
Open science0.0030.009
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.245
Teacher spread0.220 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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