PENGEMBANGAN SMART VILLAGE KAKI LANGIT DENGAN PENGOPTIMALAN WEB INTEGRATIF
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Smart Village is a village that has the ability to use Information and Communication Technology systems in developing the potential for both natural and human resources. Smart Village can indirectly improve the economy of a village, this is supported by the ability of a smart village to communicate the potentials of natural resources outside the village, and provide knowledge or understanding in managing village potential by the villagers.
 The development of the Kaki Langit Tourism Village is to accommodate people who love their village to work together to carry out their respective activities with TOURISM as a binding knot by prioritizing the value of local wisdom, so that the community will be more prosperous. Likewise, the role of information technology is needed in realizing the skyline tourism village as a smart village pioneer.
 Kaki Langit Smart Village Development with Integrative Web Optimization can manage data related to kaki langit tourism villages, thus helping visitors in choosing the desired tourist attraction, and applications are developed by integrating web and homestay management applications so as to help visitors in choosing homestays and packages the desired tourism.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it