ANALISIS FAKTOR-FAKTOR PENERIMAAN DAN NIAT KEBERLANJUTAN PENGGUNAAN PORTAL AKADEMIK SIAKAD STMIK AKAKOM MENGGUNAKAN TAM SERTA MODEL DELONE DAN MCLEAN
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
Academic Portal SIAKAD STMIK AKAKOM with address siakad.akakom.ac.id, was built with the aim of improving the quality of performance and services as well as the means of academic interaction between lecturers, students and academic departments based on information technology. Evaluate the success of its application is necessary to always meet its objectives. Based on previous research and basic theory of TAM and DeLone and McLean model hence researcher make model to analyze acceptance factors and intention of sustainability use SIAKAD STMIK AKAKOM. Analyzer used is PLS 3.0. TAM describes the behavioral factors of computer users based on the beliefs, attitudes, intention, and user behaviour relationship. The DeLone and McLean model is an information system success model with three parts of the instrument, the first used to measure the technical success of the system quality, the two measures of semantic success ie the quality of information, and the three measures of effective information system is use, user satisfaction, individual impact and organizational impact. The results of empirical research indicate variable of Information Quality and System Quality that affect the User Satisfaction towards SIAKAD STMIK AKAKOM, while the sustainability intention using SIAKAD STMIK AKAKOM determined by User Satisfaction variable.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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