SISTEM INFORMASI UJIAN ONLINE PENERIMAAN MAHASISWA BARU DI STMIK INSAN PEMBANGUNAN
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.
Bibliographic record
Abstract
ABSTRAKUjian berdasarkan kamus besar Bahasa Indonesia dapat berarti sesuatu yg dipakai untuk menguji mutu sesuatu (kepandaian, kemampuan, hasil belajar, dsb). Dengan menggunakan sebuah sistem basis data, ujian online diharapkan mempermudah sistem ujian dalam menampilkan soal-soal maupun penilaian sehingga mempermudah user untuk menggunakannya serta bagi administrator untuk mengelola soal. Ujian selain dilaksanakan secara tertulis maupun lisan dapat pula dilaksanakan menggunakan alat bantu komputer. Jika pelaksanaan ujian menggunakan komputer dilaksanakan dalam sebuah jaringan komputer baik itu jaringan intranet maupun internet maka bisa dikategorikan sebagai ujian online. Metode penelitian yang digunakan adalah Pengkajian ilmiah dalam bentuk Penelitian Pengembangan, atau lebih tepat disebut Penelitian Rekayasa yang berupa Rencana (Plan), Rancangan (Design), Bangunan/kontruksi (Construct), Terapan (Applied), atau Hasil pengembangan (Development) dari suatu Model, Sistem, atau Produk. Dalam penelitian ini dilakukan proses rekayasa perangkat lunak sistem ujian online berbasis website. Luaran penelitian adalah analisis kebutuhan dan hasil perancanganKata kunci : PMB, MySQL, Insan Pembangunan, Ujian Online, Sistem, 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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.013 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it