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Record W4393190675 · doi:10.31764/jmm.v8i1.20463

PEMBINAAN UMKM MELALUI SENI KREATIF BERBASIS SAMPAH DALAM MENINGKATKAN KETERAMPILAN DAN PENDAPATAN EKONOMI MASYARAKAT

2024· article· id· W4393190675 on OpenAlexaff
Pamela Mikaresti, Herry Novrianda, Rossa Damayanti, Edwin Junidi, Imam Hambali

Bibliographic record

VenueJMM (Jurnal Masyarakat Mandiri) · 2024
Typearticle
Languageid
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Abstrak: Permasalahan sampah sering menjadi konflik di berbagai daerah di Indonesia salah satunya di Kabupaten Bengkulu Utara. Untuk itu, diperlukan solusi dalam mengatasi permasalahan tersebut salah satunya melakukan pembinaan terhadap UMKM Seni Kreatif dalam mengolah sampah melalui kegiatan 3R yaitu reduce, reuse dan recycle. Kegiatan ini melibatkan kelompok mitra Usaha Mikro Kecil Menengah (UMKM) yang ada di Desa Rama Agung Kabupaten Bengkulu Utara yaitu UMKM DIRGA YUSAdan UMKM BUOCA yang bertujuan menangani sampah rumah tangga. UMKM DIRGA YUSAmerupakan kelompok UMKM seni kreatif yang terdiri dari 11 anggota yang mengatasi sampah plastik untuk dijadikan sebuah karya seni bernilai jual. Sedangkan UMKM BUOCA merupakan kelompok Usaha Mikro yang terdiri dari 17 anggota yang menangani sampah tumbuh-tumbuhan seperti sampah buah dan sayuran yang dimanfaatkan kembali menjadi produk yang ramah lingkungan. Kegiatan ini dilakukan dengan tiga tahap yaitu pengenalan konsep seni kreatif, peningkatan kualitas dan jumlah produksi, serta pemasaran produk. Evaluasi dilakukan dengan cara menyebarkan angket pretest dan postest untuk melihat kebermanfaatan kegiatan ini. Hasil kegiatan kerja sama tim Universitas Terbuka Bengkulu dan Bapelitbang Bengkulu Utara setelah melakukan pembinaan dan pendampingan terhadap UMKM seni kreatif berbasis sampah ini telah meningkatkan pendapatan ekonomi UMKM DIRGA YUSAsebesar 58% dan UMKM BUOCA sebesar 72%.Abstract: Abstract: The issue of waste management frequently escalates into conflicts in various regions of Indonesia, including North Bengkulu Regency. Therefore, a solution is imperative to address this problem, and one such approach involves nurturing Creative SMEs in waste management through the implementation of the 3R principles: reduce, reuse, and recycle. This initiative engages collaborative efforts with Micro, Small, and Medium Enterprises (MSMEs) in the village of Rama Agung in North Bengkulu Regency, specifically, DIRGA YUSA Creative SME and BUOCA SME, both aimed at managing household waste. DIRGA YUSA is a group of 11 members focusing on transforming plastic waste into artistic creations with market value, while BUOCA, consisting of 17 members, addresses organic waste like fruits and vegetables, repurposing them into environmentally friendly products. The project unfolds in three stages: introducing the concept of creative arts, enhancing the quality and quantity of production, and marketing the products. Evaluation involves the distribution of pretest and posttest questionnaires to assess the effectiveness of the initiative. Results indicate a substantial increase in the economic income of DIRGA YUSA by 58% and BUOCA by 72% following the collaboration between the Universitas Terbuka Bengkulu team and the North Bengkulu Regency Research and Development Agency in mentoring and guiding these waste-based creative SMEs.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.004

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 head0.015
GPT teacher head0.270
Teacher spread0.255 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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