PENERAPAN PRINSIP-PRINSIP SMART ASN(APARATUR SIPIL NEGARA) DI KOTA METRO
Bibliographic record
Abstract
Aparatur Sipil Negara (ASN) adalah penggerak laju organisasi pemerintah yang dituntut adaptif dalam menghadapi perubahan seperti digitalisasi di era revolusi industri 4.0 seperti saat ini. Dengan adanya keterkaitan ASN dan digitalisasi, Kementerian Pendayagunaan Aparatur Negara dan Reformasi Birokrasi menciptakan sebuah terobosan baru yang disebut sebagai Smart ASN. Penelitian ini ditujukan untuk mengetahui sejauh mana penerapan prinsip-prinsip Smart ASN di Kota Metro. Penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif. Data yang digunakan adalah data primer yang diperoleh menggunakan kuesioner. Responden penelitian adalah ASN yang bertugas pada Organisasi Perangkat Daerah Kota Metro dengan usia maksimal 40 tahun sebanyak 218 orang. Penelitian ini menggunakan teori yang dikembangkan oleh Vroom yaitu expectancy theory. Indikator Smart ASN digunakan yaitu delapan prinsip Smart ASN diantaranya integritas, profesionalisme, nasionalisme, berwawasan global, menguasai IT dan bahasa asing, hospitality, networking, dan enterpreneurship. Hasil penelitian menunjukkan bahwa penerapan prinsip-prinsip Smart ASN telah sangat baik dengan persentase sebesar 91%. Sehingga menunjukkan adanya keberhasilan penerapan prinsip- prinsip Smart ASN yang sangat baik oleh ASN di Kota Metro. Kata Kunci : Aparatur Sipil Negara, Smart ASN, Prinsip Smart ASN, Teori Harapan Civil Servants (ASN) are part of government organizations, required to be adaptive in changes such as digitalization in the current era of the Industrial Revolution 4.0. The linkage between ASN and digitalization, the Ministry of Administrative and Bureaucratic Reform has created a new breakthrough called Smart ASN. This study aims to determine the extent to which the principles of Smart ASN are applied in Metro City. The research uses a quantitative approach with a descriptive method. The data used are primary data obtained through questionnaires. The respondents are civil servants working in the Regional Government Organizations of Metro City, aged 40 years or younger, totaling 218 individuals. The study employs Vroom's expectancy theory. The indicators used for Smart ASN are the eight principles of Smart ASN, including integrity, professionalism, nationalism, global insight, mastery of IT and foreign languages, hospitality, networking, and entrepreneurship. The results show that the implementation of Smart ASN principles has been very successful, with a percentage of 91%, indicating the successful implementation of Smart ASN principles by civil servants in Metro City. Keywords : Civil Servants, Smart ASN, Smart ASN Principles, Expectancy Theory
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How this classification was reachedexpand
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) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".