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Record W2911437511 · doi:10.17977/um044v3i2p162-174

DESIGN KAWASAN TANPA ROKOK (KTR) FAKULTAS ILMU KEOLAHRAGAAN UNIVERSITAS NEGERI MALANG NO-SMOKING AREA DESIGN IN FACULTY OF SPORT SCIENCE UNIVERSITAS NEGERI MALANG

2018· article· id· W2911437511 on OpenAlexaff
Nurnaningsih Herya Ulfah, Septa Katmawanti, Tika Dwi Tama

Bibliographic record

VenuePreventia The Indonesian Journal of Public Health · 2018
Typearticle
Languageid
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesChristian ministryPhysicsArtPolitical science

Abstract

fetched live from OpenAlex

ABSTRAK : Data Kementerian Kesehatan Indonesia menunjukkan bahwa kebiasaan merokok ternyata sudah terjadi pada usia 10-14 tahun dengan presentase 1,4% kemudian pada kelompok usia ke 2 (15-19 tahun) yaitu sebesar 18,3% dan meningkat kembali pada usia 20-24 tahun sebanyak 34,1%. Berdasarkan hasil observasi diketahui bahwa mahasiswa FIK UM juga memiliki kebiasaan merokok. Kebiasaan merokok bagi seorang olahragawan sangat merugikan karena asap rokok yang dihirup masuk ke pernafasan akan di bawa ke jantung dan dampaknya adalah menghambat kinerja jantung. Penelitian ini bertujuan untuk membuat Design Kawasan Tanpa Rokok (KTR) Fakultas Ilmu Keolahragaan Universitas Negeri Malang Sebagai Upaya Pelaksanaan Peraturan Bersama Nomor 7 Tahun 2011. Metode penelitian ini adalah penelitian deskriptif dengan pendekatan cross sectional. Sampel penelitian untuk mendukung design adalah sebanyak 300 responden. Hasil Penelitian ini menunjukkan bahwa responden yang menyatakan FIK UM memiliki kebijakan terkait kawasan tanpa rokok sebanyak 59,3% dan sebesar 71% responden menyatakan mendukung adanya kawasan tanpa rokok di FIK UM. Selain itu, sebesar >80% responden setuju bahwa Kantin, Gasebo dan ruang dosen harus bebas dari asap rokok. Lebih lanjut diketahui bahwa ada beberapa titik yang disepakati untuk dijadikan sebagai area merokok yaitu: berdekatan dengan gazebo, berdekatan dengan ruang dosen, dan dekat dengan mushola gedung anggrek. Kesimpulan dari penelitian ini adalah FIK UM mendapatkan dukungan dari civitas akademik untuk mendesign KTR sebagai upaya untuk menciptakan lingkungan akademis yang sehat.Kata kunci : Design kawasan tanpa rokok, peraturan, akademikABSTRACT : Ministry of health Indonesia data show that smoking habit happened at the age of 10-14 years with the percentage 1.4 % then in age group to 2 (15-19 years) is 18,3 % and it has increased at the age of 20-24 years as many as 34,1 %. Based on the results of observation known that college students are FIK UM also has smoking habit. Smoking habit for athletes is very harmful because cigarette smoke which inhaled into respiratory will transport to the heart and its impact is restricting performance the heart. This study aims to make a design of non-smoking area in FIK UM as an effort to the implementation of government regulation number 7 in 2011 . The research method is descriptive with cross sectional approach. The sample to support this design is 300 respondents. This research result indicates that 59,3% of respondent said that FIK UM had a regulation about non-smoking area. Then, 71 % of respondents gave their support to actualize non-smoking area in FIK UM, and also more than 80% of respondents agree that the canteen, free space, and lecturers office should be as non-smoking area. In addition, there are some points that have been agreed to be used as smoking area such as beside gazebo sited, lecturers office, mosque and building orchids. The conclusion is civitas academic from FIK UM give support to design non-smoking area as the effort to create a healthy academic environment.Keywords : non-smoking area design, regulation, academic

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)0.022
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.152
GPT teacher head0.407
Teacher spread0.255 · 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 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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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