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Record W2905897596 · doi:10.52447/ijpa.v3i2.979

PENGARUH DIKLAT FUNGSIONAL PERENCANA DAN MOTIVASI KERJA TERHADAP KUALITAS PERENCANA (STUDI DI BAPPENAS TAHUN 2016)

2017· article· en· W2905897596 on OpenAlexaff
Ivan Budi Susetyo, Frans Dione, Eko Hari

Bibliographic record

VenueThe Indonesian Journal of Public Administration (IJPA) · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychologyBusiness administrationHumanitiesBusiness

Abstract

fetched live from OpenAlex

Abstract: The formulation of this study is review the influence of functional training planners to the quality planners, the influence of work motivation to the quality of planner, and the influence of functional training planners and motivation to work together to the quality of Bappenas planners. The method used in this research is descriptive method with quantitative approach. The sampling technique is using proportionate stratified random sampling with a number of sample sizes of 137 people. Furthermore, the data obtained, processed and analyzed with SPSS 19.0 for windows Program by performing statistical test, those are the t test and F test. The results of this study indicate that there is a positive influence between functional training planners to quality planners, work motivation to quality planners, and the influence of the two together to the quality planner. The dimension of functional training planners that have an influence to the quality of planners is the management and faculty training. In addition, the study is also found that the dimension of work motivation which has an influence to the quality of planners is the need for achievement and the need for power. Keywords: Training, Work Motivation, Quality Planner Abstrak: Perumusan penelitian ini mengkaji besarnya pengaruh diklat fungsional perencana terhadap kualitas perencana, pengaruh motivasi kerja terhadap kualitas perencana, dan pengaruh diklat fungsional perencana dan motivasi kerja secara bersama-sama terhadap kualitas perencana Bappenas. Metode penelitian yang digunakan dalam penelitian ini adalah metode penelitian deskriptif dengan pendekatan kuantitatif. Populasi dalam penelitian ini adalah seluruh perencana di Bappenas tahun 2016. Teknik pengambilan sampel menggunakan proportionate stratified random sampling dengan jumlah ukuran sampel 137 orang. Selanjutnya, data yang diperoleh, diolah dan dianalisa dengan bantuan program SPSS 19.0 for windows dengan melakukan uji statistik yaitu uji t dan uji F. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh positif antara diklat fungsional perencana terhadap kualitas perencana, motivasi kerja terhadap kualitas perencana, dan pengaruh keduanya secara bersama-sama terhadap kualitas perencana. Dimensi diklat fungsional perencana yang memiliki pengaruh terhadap kualitas perencana adalah pengelolaan dan tenaga pengajar diklat. Selain itu, penelitian juga menemukan bahwa dimensi motivasi kerja yang memiliki pengaruh terhadap kualitas perencana adalah kebutuhan akan prestasi dan kebutuhan akan kekuasaan. Kata Kunci: Diklat, Motivasi Kerja, Kualitas Perencana

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.047
GPT teacher head0.277
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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