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Identifikasi dan Upaya Pemenuhan Kebutuhan Informasi Terkait Pemeliharaan Kesehatan Reproduksi Remaja Melalui Kegiatan Edukasi pada Siswa Sebuah SMP di Kabupaten Cilacap

2023· article· id· W4406428236 on OpenAlexaff
Catharina Widiartini, Fajar Wahyu Pribadi, Thomas Sutasman, Prasetyo Tri Kuncoro, Agus Budi Setiawan

Bibliographic record

VenueLinggamas Jurnal Pengabdian Masyarakat · 2023
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Meningkatnya permasalahan kesehatan reproduksi remaja akibat dampak buruk pajanan internet selama masa pembelajaran daring perlu mendapat perhatian kita bersama. Hal ini diperburuk oleh tertutupnya jalur komunikasi dengan orang tua akibat pandangan bahwa pembicaraan kesehatan reproduksi merupakan hal tabu. Permasalahan ini pun relevan bagi SMP Pius, Cilacap, Jawa Tengah. Upaya identifikasi kebutuhan pengetahuan mengenai berbagai aspek kesehatan reproduksi bagi para siswa mengawali langkah selanjutnya berupa kegiatan edukasi. Sebanyak 80 siswa kelas 8 dan 65 siswa kelas 9 (total 145 siswa), dengan rerata usia 13,3 tahun mengikuti kegiatan ini. Penyampaian materi terkait aspek biologis, psikologis dan sosial kesehatan reproduksi remaja dilaksanakan secara langsung melalui ceramah, diskusi interaktif, games dan menonton video edukasi, serta secara tertulis melalui modul yang dibagikan. Rerata persentase siswa yang menjawab benar pada pre-test sebesar 74,31 % dan pada post-test sebesar 74,92%. Terdapat peningkatan pengetahuan siswa pasca pelaksanaan kegiatan yang ditunjukkan dengan adanya peningkatan nilai minimal dan maksimal serta modus pada post-test. Tingkat pengetahuan siswa pada 15 sub topik kesehatan reproduksi memadai, sedangkan pada 10 sub topik kesehatan reproduksi kurang kurang memadai. Kegiatan selanjutnya dapat memprioritaskan upaya peningkatan pengetahuan siswa yang kurang memadai pada beberapa aspek tersebut. Kegiatan ini perlu dirutinkan dengan memperluas sasaran melalui peningkatan kapasitas guru sebagai fasilitator dan narasumber dalam diskusi masalah kesehatan reproduksi remaja dengan siswa.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0060.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.003

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 head0.044
GPT teacher head0.311
Teacher spread0.268 · 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 designObservational
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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