MENURUNKAN WAKTU PADA PROSES PENGISIAN GREASE BEARING RODA UNIT QUESTER SAAT SERVICE REM DI BENGKEL UD TRUCKS ABC
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
Bengkel UD Trucks Cabang ABC merupakan sebuah perusahaan dibidang otomotif yang melayani penjualan, perawatan dan perbaikan dan penjualan part kendaraan, improvement pada semua bidang bertujuan untuk meningkatkan kualitas dan pelayanan. Salah satu improvement yang mampu meningkatkan kepuasan pelanggan adalah dengan menyerahkan kendaraan setelah servis tepat waktu sesuai estimasi pengerjaan (flate rate) yang telah ditentukan. permasalahan pada bengkel yang perlu diatasi guna meningkatkan kepuasan pelanggan kepada bengkel yaitu lamanya proses pengisian Grease ke bearing roda unit Quester, lamanya proses pengambilan oli mesin dan lamanya proses pemasangan kampas kopling. permasalahan dominan yaitu Lamanya proses pengisan Grease ke bearing roda unit Quester. metode yang digunakan penulis adalah fishbone. Akar permasalahan yang ada adalah belum ada alat khusus, kemampuan antar mekanik yang berbeda-beda dan tidak ada SOP. permasalahan lamanya proses pengisian Grease ke bearing roda unit Quester dapat diselesaikan dengan membuat Special Tools Pengisian grease bearing roda, membuat SOP (Standard Operational Procedure) dan sosialisasi penggunaan Special tools. Target lead time service rem adalah 1 jam 18 menit 51 detik, berhasil diturunkan dari 1 jam 27 menit 51 detik.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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.
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