Perancangan Sistem Informasi Absensi Berbasis Android Menggunakan Geolocator
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
Introduction: The development of information and communication technology greatly influences the current civilization which makes it possible to simplify work in an organization. One of them is CV Raudha Design which has utilized information technology in various aspects of operations, but does not include employee attendance which is still manual using an attendance card. Purpose: to create an android-based attendance application system to get data in realtime and accompanied by coordinates using a geolocator when employees are absent. Method: The development of this application uses the waterfall method. Testing the system using black box testing. System coding uses the dart language with the flutter framework. Results: The results of this study are the design of an android-based attendance information system to make it easier for employees to take attendance online. Conclusion: It can be concluded that the attendance application uses an Android-based geolocator to facilitate the attendance process because there is no need to fill in and out of attendance data on the attendance paper.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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