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ANALISIS STRATEGI PENGEMBANGAN USAHA PELAYANAN JASA ALAT DAN MESIN PERTANIAN (UPJA) DI KABUPATEN BOLAANG MONGONDOW TIMUR

2020· article· en· W3162141016 on OpenAlexaff
Widjoyo Syuyono Mamonto, Richard E.M.F. Osak, Jolanda K. J. Kalangi

Bibliographic record

VenueAGRI-SOSIOEKONOMI · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsSWOT analysisSpare partBusinessAgricultureGovernment (linguistics)Service (business)Strengths and weaknessesMarketingBusiness administrationAgricultural scienceOperations managementEngineeringGeography

Abstract

fetched live from OpenAlex

This study aims to examine internal factors and external factors in developing a business in Alsintan Services (UPJA). And the formulation of strategy formulations in growing and developing business businesses in agricultural equipment services or UPJA. The research was conducted from July to August 2020. Located in three districts, namely Kotabunan District, Mooat District and Modayag District, Bolaang Mongondow Timur Regency. Sources of data in this study use primary and secondary data. Data analysis in this study uses the SWOT analysis method based on logic to be able to develop the maximum strength (strength) and opportunity (opportunity), but at the same time can also minimize weaknesses (weakness) and threats (threats). The results showed that the study of internal factors and external factors in the development of agricultural machine tool service business (UPJA), namely internal factors, namely the ability in company managerial and the experience of operators can be called strengths and also company administration in services to farmers and external factors of companies that participate in determining the direction of the development of agricultural equipment service businesses, namely government support, in this case the East Bolaang Mongondow Regency Agriculture Office and the potential for the availability of bank loans which are very supportive for the development of Agricultural Machine Tool Service Business Services (UPJA) as well as guarantee and ease of spare parts Then from the threat factor is the factor that gets attention, namely the low knowledge of farmers and farmers' capital for the use of alsintan. The formulation of the strategy for developing the Agricultural Machine Tool Service Business (UPJA) is an aggressive strategy or in quadrant I where the strategy used is all the strengths to take advantage of existing opportunities, as an alternative strategy to carry out socialization with the support of local governments through related agencies, fostering cooperation with farmers, increasing other agricultural business opportunities owned by UPJA, and increasing the availability of agricultural machinery.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.039
GPT teacher head0.264
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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