MétaCan
Menu
Back to cohort
Record W4220681285 · doi:10.33330/jutsi.v2i1.1513

System Web Gis Posisi Objek Pariwisata Di Area Kabupaten Asahan

2022· article· en· W4220681285 on OpenAlexaff
Yuda Prastia, Mohd Siddik, Sudarmin Sudarmin

Bibliographic record

VenueJUTSI (Jurnal Teknologi dan Sistem Informasi) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsTourismGeographyCartographyAdvertisingHumanitiesBusinessArtArchaeology

Abstract

fetched live from OpenAlex

Abstract: A tourist attraction is something that everyone likes, because it offers beauty and happiness for anyone who will visit it, a tourist attraction is also a source of income for each region if a tourist attraction can be developed properly of course it will increase a very high source of income, Asahan Regency is a regency located in North Sumatra. Asahan Regency has a variety of tourist attractions that can be visited, but due to lack of information and no instructions that can explain in detail where the position of the tourist attractions are located, therefore tourist attractions in Asahan Regency are less attractive to visitors. Therefore, a study was formed to overcome this problem. The problem is by making a location map to clearly determine the position of tourist objects in Asahan Regency, namely the GIS web system for the position of tourist objects in the Asahan Regency area by utilizing the Google Maps API, namely Google maps from the Google application. Keywords Geographic Information System, Tourist Objects, Position of Tourism Objects in Asahan Regency. Keywords: Tourism; Geographic Information System; Google Maps API. Abstract: Daya tarik wisata merupakan sesuatu yang disukai semua orang, karena menawarkan keindahan dan kebahagiaan bagi siapa saja yang akan mengunjunginya, suatu daya tarik wisata juga menjadi sumber pendapatan bagi setiap daerah jika suatu daya tarik wisata dapat dikembangkan dengan baik tentunya akan meningkatkan pendapatan yang sangat tinggi. Kabupaten Asahan merupakan salah satu kabupaten yang terletak di Sumatera Utara. Kabupaten Asahan memiliki berbagai tempat wisata yang dapat dikunjungi, namun karena kurangnya informasi dan tidak adanya petunjuk yang dapat menjelaskan secara detail dimana posisi tempat wisata tersebut berada, oleh karena itu tempat wisata di Kabupaten Asahan kurang diminati pengunjung. Oleh karena itu, dilakukanlah sebuah penelitian untuk mengatasi permasalahan tersebut. Yaitu adalah dengan membuat peta lokasi untuk mengetahui dengan jelas posisi objek wisata di Kabupaten Asahan yaitu sistem web GIS untuk posisi objek wisata di wilayah Kabupaten Asahan dengan memanfaatkan Google Maps API yaitu Google maps dari aplikasi Google . Kata kunci : Pariwisata , Sistem Informasi Geografis, Google Maps API.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.022

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 head0.026
GPT teacher head0.267
Teacher spread0.240 · 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 designSimulation or modeling
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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJUTSI (Jurnal Teknologi dan Sistem Informasi)Same topicCommunity-based Tourism Development and SustainabilityFrench-language works237,207