Efektivitas Pembangunan Rumah Risha, Rika dan Riko (3R) Bagi Masyarakat Terdampak Gempa
Bibliographic record
Abstract
Bencana gempa bumi yang terjadi di berbagai macam kerusakan dan salah satu wilayah yang paling memiliki dampak besar adalah Kabupaten Lombok Utara. Kecamatan Tanjung merupakan salah satu kecampatan yang paling terdampak di Lombok Utara dimana 85% ba Pemerintah daerah dan pusat beserta beberapa lembaga sosial lainnya saling bekerjasama untuk menyelesaikan permasalahan tempat tinggal masyarakat agar mereka cepat kembali memiliki hunian tempat tinggal yang layak. Sehingga tujuan penelitian ini adalah untuk melihat tingkat efektivitas dari model bangunan rumah yang direkomendasikan oleh pemerintah yaitu Rumah Instan Sehat Sederhana Kayu (RIKA). Metode penel menggunakan 6 variabel dan 14 pertanyaan. Hasil dari penelitian tersebut adalah Risha memiliki nilai efektifitas 3,16, Rika memiliki nilai efektifitas 2,97 dan Riko memiliki nilai 2,99. Dari ketiga model rumah ters masyarakat model Risha memiliki tingkat efektifitas yang paling baik diantara ketiga model rumah yang dibiayai oleh pemerintah namun masih masuk dalam kategori cukup efektif. Sama halnya dengan Rika dan Riko masuk dalam kategori nilai cukup efektif menurut pendapat masyarakat.Abstract: The earthquake that occurred on the island of Lombok has caused various types of damage and one of the areas that has the greatest impact is North Lombok Regency. Tanjung Subdistrict is one of the most affected sub-districts in North Lombok Regency where 85% of its residential buildings are leveled with land.Regional and central governments along with several other social institutions work together to solve community housing problems so that they quickly return to having decent dwellings. So the purpose of this study is to look at the effectiveness of the house building models recommended by the government, namely Simple Healthy Instant Houses (RISHA), Convetional Instant Houses (RIKO) and Wood Instant Houses (RIKA). The research method uses linkert analysis using 6 variables and 14 questions. The results of the study are that Risha has an effectiveness value of 3.16, Rika has an effectiveness alue of 2.97 and Rico has a value of 2.99. Of the three house models, the community opinion of the Risha model shows the best level of effectiveness among the three models of houses that are funded by the government but still fall into the fairly effective category. Similarly, Rika and Riko fall into the value category quite effectively in the opinion of the community.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".