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Record W4312237716 · doi:10.33330/jutsi.v2i2.1734

Penentuan Peserta Penerima Bantuan Teknologi Tepat Guna Di Dinas Pemberdayaan Masyarakat Dan Desa Kabupaten Asahan

2022· article· en· W4312237716 on OpenAlexaff
Ade Chairani, William Ramdhan, Sumatri Sumatri

Bibliographic record

VenueJUTSI (Jurnal Teknologi dan Sistem Informasi) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsBusinessPolitical scienceBusiness administration

Abstract

fetched live from OpenAlex

Abstract: The Asahan Regency Community and Village Empowerment Service as a district level government agency implements this appropriate technology application program in areas with a fairly high. With the appropriate technology program or technology, especially the unemployed so that they are willing and able to manage the potential of natural resources and their environment in order to create employment or business opportunities, increase the added value of local production commodities to become regional mainstay commodities, as well as develop small businesses based on local potential so that can absorb unemployed and underemployed workers and improve the economy of the community, especially rural areas in the Asahan Regency. The Asahan Regency Community and Village Empowerment Service as a government agency before conducting recruitment and selection has implemented existing mechanisms such as coordinating with the aim of disseminating the program to relevant agencies, then carry out socialization to the community, after that identify the location and type of application, and only then carry out the recruitment and selection process for participants. Keywords: SAW Method; Participants Recipient of Appropriate Technology Assistance; PHP and MySQL. Abstrak: Dinas Pemberdayaan Masyarakat dan Desa Kabupaten Asahan sebagai instansi pemerintahan tingkat kabupaten mengimplementasiakan program terapan teknologi tepat guna ini kewilayah yang tingkat pengangurannya cukup tinggi. Dengan adanya program teknologi tepat guna atau teknologi khususnya penganggur agar mau dan mampu mengelola potensi sumber daya alam dan lingkungannya guna menciptakan kesempatan kerja atau usaha, meningkatkan nilai tambah komoditi produksi lokal menjadi komoditi andalan daerah, serta menumbuhkembangkan usaha-usaha kecil yang berbasis potensi lokal agar dapat menyerap tenaga kerja penganggur dan setengah penganggur dan meningkatkan perekonomian masyarakat khususnya pedesaan di wilayah Kabupaten Asahan Dinas Pemberdayaan Masyarakat dan Desa Kabupaten Asahan sebagai instansi pemerintahan sebelum melakukan rekruitmen dan seleksi sudah melaksanakan mekanisme yang ada seperti melakukan kordinasi yang bertujuan menyebarluaskan program kepada instansi terkait, kemudian melaksanakan sosialisasi ke masyarakat, setelah itu melakukan identifikasi lokasi dan jenis terapan, dan baru kemudian melakukan proses rekruitmen dan seleksi peserta. Kata Kunci: Metode SAW; Peserta Penerima Bantuan Teknologi Tepat Guna; PHP dan MySQL.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.275
Teacher spread0.243 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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