KAJIAN SISTEM PERLADANGAN DI KABUPATEN BOLAANG MOGONDOW (STUDI KASUS PERLADANGAN DI KPHP WILAYAH II KABUPATEN BOLAANG MONGONDOW)
Bibliographic record
Abstract
The study aimed to (1) describe the characteristics of the socio-economic, (2) describe the characteristic of ecological farming in the region KPHP unit II Bolaang Mongondow district, and (3) analyze the development strategy KPHP Unit II in the district based on empowerment Bolaang Mongondow cultivators. This research was conducted with descriptive and semi-quantitative approach. Data analysing for the development of management strategies used SWOT analysis. The primary data obtained through interviews in three (3) villages namely Pindolili, Village Pindol and Village Totabuan to 20 informants, consisting of 3 (three) the village chief, two religious leaders in the two (2) village, 2 (two) historians the formation of the village and 12 (twelve) cultivators in three (3) villages. While the secondary data obtained through statistical data and information obtained from the forestry policy forestry official website. Results of research on (1) socio-economic condition around the area KPHP unit II Bolaang Mongondow district shows that the agricultural sector is still the main source of livelihood of society. Socio-cultural conditions of communities in the study area are a heterogeneous society with different ethnic groups. They are still implement a culture or tradition that can threaten the sustainability of their livelihoods; (2) Ecological condition in the area KPHP unit II shows that the high danger of erosion due to geography land that shaped mountains with slope ranging from moderate to steep and the actions of farming and poor land management on critical land of steep hills. (3) Based on the results of the SWOT analysis for development strategy is the designation of priority and urgency, the development of nature tourism potential for increased use of environmental services, increased perception and participation of the formal integration of development and the development of food security by reforestation and forest conservation. The implementation strategy of forest management in the region KPHP unit II Bolaang Mongondow needs to be done in the form of maintenance of the water catchment area to ensure the availability of water production for the dam in the village Pindol, increasing role in the development of tourism and recreation participation of the parties primarily concerned to control encroachment and set the direction and strategy of development associated with the function of the ministry of forestry.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".