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Record W3092940237 · doi:10.32493/skt.v4i1.6779

Pengaruh Dolar Singapura dan Fluktuasi Inflasi Terhadap Pergerakan Harga IHSG

2020· article· id· W3092940237 on OpenAlex
Arif Surahman, Rudy Bodewyn Mangasa Tua

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal SEKURITAS (Saham Ekonomi Keuangan dan Investasi) · 2020
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsCanadian Steel Producers Association
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Penelitian dibuat untuk menyelidiki bagaimana fluktuasi harga Dolar Singapura dan fluktuasi Inflasi Indonesia dapat berpengaruh terhadap pergerakan harga IHSG. Kami menggunakan data bulanan, selama 31 bulan yang diambil menggunakan data sekunder dari internet. Kami menggunakan uji regresi dan mendapatkan hasil yang berbeda dengan penelitian-penelitian yang dilakukan oleh Jayanti dkk. (2014) serta Sathyanarayana dan Garbesa (2018), yang menemukan bahwa fluktuasi nilai Inflasi Indonesia tidak berpengaruh signifikan terhadap IHSG. Berlawanan dengan temuan-temuan mereka, penelitian kami telah menemukan adanya hubungan yang negatif signifikan terhadap fluktuasi Inflasi terhadap Indeks Indonesia (IHSG). Selain itu, kami juga menemukan bahwa Dolar Singapura berpengaruh signifikan negatif terhadap IHSG.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0040.005
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.025
GPT teacher head0.200
Teacher spread0.174 · 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