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Record W4413332862 · doi:10.29313/bcsurp.v5i2.19666

KomDesa: Inovasi Digital Partisipatif untuk Perencanaan Pembangunan Desa Cerdas

2025· article· en· W4413332862 on OpenAlex
Maharani, Imam Indratno

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Abstract. The development of digital technology opens up strategic opportunities to bridge the communication gap between village communities and academics in the context of smart village development. This research aims to design and develop a prototype of the KomDesa application, an interactive platform that connects village communities with experts from academic institutions as an effort to encourage community involvement in smart village development planning. The method used is the Waterfall model software engineering approach, including needs analysis, design, implementation, testing, and maintenance. Data was collected through literature studies, user observations, and interviews with community representatives and academics. The results show that KomDesa has succeeded in providing five main features, namely Explore Community Problems, Find Experts, Community, Consulting, and Explore UNISBA Research and Service which are considered relevant and easy to use by early users. These findings show that KomDesa has the potential as a participatory digital solution that strengthens cross-sector collaboration, encourages local knowledge-based planning, and supports the development of an inclusive and sustainable smart village ecosystem. In the future, this application can be optimized to strengthen the role of villages as active subjects in inclusive, collaborative, and knowledge-based social transformation development planning. Abstrak. Perkembangan teknologi digital membuka peluang strategis untuk menjembatani kesenjangan komunikasi antara komunitas desa dan kalangan akademisi dalam konteks pembangunan desa cerdas (smart village). Penelitian ini bertujuan merancang dan mengembangkan prototipe aplikasi KomDesa, sebuah platform interaktif yang menghubungkan masyarakat desa dengan pakar dari institusi akademik sebagai upaya mendorong keterlibatan masyarakat dalam perencanaan pembangunan desa cerdas. Metode yang digunakan adalah pendekatan rekayasa perangkat lunak model Waterfall, meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Data dikumpulkan melalui studi literatur, observasi pengguna, dan wawancara dengan perwakilan komunitas dan akademisi. Hasil menunjukkan bahwa KomDesa berhasil menyediakan lima fitur utama, yaitu Jelajah Masalah Komunitas, Cari Pakar, Komunitas, Konsultasi, serta Jelajah Penelitian dan Pengabdian UNISBA yang dinilai relevan dan mudah digunakan oleh pengguna awal. Temuan ini menunjukkan bahwa KomDesa memiliki potensi sebagai solusi digital partisipatif yang memperkuat kolaborasi lintas sektor, mendorong perencanaan berbasis pengetahuan lokal, dan mendukung pengembangan ekosistem desa cerdas yang inklusif dan berkelanjutan. Ke depan, aplikasi ini dapat dioptimalkan untuk memperkuat peran desa sebagai subjek aktif dalam perencanaan pembangunan yang inklusif, kolaboratif, dan berorientasi pada transformasi sosial berbasis pengetahuan.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.304
Teacher spread0.265 · 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