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Record W2951675556 · doi:10.35800/jjs.v8i2.18662

Analisis Implementasi Kebijakan E-Procurement Dalam Pengadaan Barang/Jasa Pada Pemerintah Kota Kotamobagu

2017· article· id· W2951675556 on OpenAlexaff
Rahfan Mokoginta, Herman Karamoy, Hendrik Manossoh

Bibliographic record

VenueJURNAL RISET AKUNTANSI DAN AUDITING GOODWILL · 2017
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness administrationBusinessHumanitiesProcurementMarketing

Abstract

fetched live from OpenAlex

Abstrak. Peraturan Presiden Nomor 54 Tahun 2010 tentang Pengadaan Barang/Jasa Pemerintah menekankan bahwa pengadaan barang/jasa dilakukan secara elektronik atau e-procurement (elektronic procurement). E-Procurement adalah pengadaan barang/jasa yang dilaksanakan dengan menggunakan teknologi informasi dan transaksi elektronik sesuai dengan ketentuan perundang-undangan. E-procurement dilakukan dengan 2 (dua) cara yaitu electronic tendering (e-tendering) dan electronic purchasing (e-purchasing). Penelitian ini bertujuan untuk menganalisis implementasi kebijakan e-tendering dalam pengadaan barang/jasa, faktor-faktor yang menghambat implementasi kebijakan e-tendering serta upaya yang dilakukan untuk mengatasi kendala yang menghambat implementasi kebijakan e-tendering dalam pengadaan barang/jasa pada Pemerintah Kota Kotamobagu. Penelitian ini menggunakan metode kualitatif dengan pendekatan eksploratori. Data diperoleh melalui teknik wawancara mendalam, pengamatan, dan studi dokumentasi. Informan ditentukan secara purposive untuk mendapatkan hasil informasi yang tepat dan akurat. Teknik analisis data menggunakan reduksi data, penyajian data dan kesimpulan. Uji keabsahan data dalam penelitian ini meliputi uji credibility (validitas internal) dan dependability (reliabilitas). Hasil penelitian menunjukkan bahwa implementasi kebijakan e-tendering dalam pengadaan barang/jasa pada Pemerintah Kota Kotamobagu telah diimplementasikan dengan menerapkan prinsip efisien, efektif, transparan, terbuka, adil/tidak dikriminatif, dan akuntabel, namun belum menjamin adanya persaingan sehat secara optimal. Kendala yang dihadapi dalam implementasi kebijakan e-tendering ialah infrastruktur penunjang, adanya rangkap jabatan, sistem aplikasi, pengawasan dan keterlambatan Rencana Umum Pengadaan dan Rencana Pelaksanaan Pengadaan (sebagai kelengkapan berkas untuk proses e-tendering). Upaya yang dilakukan untuk mengatasi kendala tersebut ialah usulan dan perbaikan infrastruktur, pembuatan sistem aplikasi, regulasi, pengawasan intern, dan koordinasi.Kata Kunci : e-procurement, e-tendering, pengadaan, barang dan jasa

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.005

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 head0.037
GPT teacher head0.318
Teacher spread0.281 · 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 designQualitative
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

Citations4
Published2017
Admission routes1
Has abstractyes

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