Dinamika Perubahan Ruang dan Fungsi Ruang Rumah Tinggal Menjadi Homestay di Kampung Homestay Ngaran II
Bibliographic record
Abstract
Title: The Dynamics of Spatial and Functional Transformation of Residential Homes Converted into Homestays in Ngaran II Homestay Village The Borobudur area is a prominent tourist destination that continues to grow, significantly impacting the local economy. The increasing number of visitors has driven the development of various supporting facilities, including accommodations. One notable effect is the transformation of residents' homes into homestays as an alternative lodging option. In Ngaran II Homestay Village, many homeowners have modified their houses to accommodate tourists, leading to changes in the layout and function of spaces originally designed for private family use. This study aims to examine the spatial changes in residential houses converted into homestays and identify the factors influencing them. This study employs a descriptive qualitative method, with data collected through field observations and interviews with homestay owners. Participants were selected using purposive sampling. The findings indicate that homeowners repurpose rooms for homestay use and expand spaces to enhance guest comfort. The key factors driving these spatial modifications include the availability of sufficient space, opportunities to increase income, and the village’s strategic location near the Borobudur Temple area. The findings of this research assist homeowners in optimizing their living spaces to accommodate both family needs and guest comfort. Additionally, they offer guidance for policymakers in developing regulations that support homestay growth.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".