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Record W4415776590 · doi:10.53686/jp.v15i2.296

Pengembangan Aplikasi Berbasis Web untuk Pengelolaan Data Tekstual dan Otomatisasi Dokumen Pertimbangan Teknis Pertanahan

2025· article· W4415776590 on OpenAlex

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

VenueJurnal Pertanahan · 2025
Typearticle
Language
FieldComputer Science
TopicEdcuational Technology Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsProcess (computing)Disk formattingThe InternetBlack box

Abstract

fetched live from OpenAlex

Document preparation for land technical considerations, such as assignment letters, minutes, invitations, attendance lists, and minutes, has traditionally been done manually using word processing software. This process tends to be time-consuming and potentially leads to errors and formatting inconsistencies. This research aims to design and build a web-based application capable of automating the creation of land documents. The development method uses the waterfall model with stages of needs analysis, system design, implementation, and testing. Trials were conducted using the black box testing method to assess the system's functionality and reliability in producing documents according to standard formats. The results indicate that the application is capable of automatically producing documents with a high level of accuracy, maintaining format uniformity, and minimizing the potential for errors. This application has proven efficient, easy to use, and effective in supporting land administration. Scientifically, this research contributes to the modernization of services with information technology-based innovation. Penyusunan dokumen dalam kegiatan pertimbangan teknis pertanahan, seperti surat tugas, berita acara, undangan, daftar hadir, dan risalah, selama ini dilakukan manual menggunakan perangkat lunak pengolah kata. Proses tersebut cenderung memakan waktu lebih lama serta berpotensi menimbulkan kesalahan dan inkonsistensi format. Penelitian ini bertujuan merancang dan membangun aplikasi berbasis web yang mampu mengotomatisasi pembuatan dokumen pertanahan. Metode pengembangan menggunakan model waterfall dengan tahapan analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Uji coba dilakukan dengan metode black box testing untuk menilai fungsionalitas dan keandalan sistem dalam menghasilkan dokumen sesuai format standar. Hasil penelitian menunjukkan aplikasi mampu menghasilkan dokumen secara otomatis dengan tingkat akurasi tinggi, keseragaman format terjaga, serta meminimalkan potensi kesalahan. Aplikasi ini terbukti efisien, mudah digunakan, dan efektif dalam mendukung administrasi pertanahan. Secara ilmiah, penelitian berkontribusi terhadap modernisasi layanan dengan inovasi berbasis teknologi informasi.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.005
Science and technology studies0.0030.001
Scholarly communication0.0030.004
Open science0.0180.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.032
GPT teacher head0.293
Teacher spread0.261 · 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