PENGARUH RETURN ON EQUITY, DEBT TO EQUITY RATIO,DAN PRICE EARNING RATIO TERHADAP HARGA SAHAM PERUSAHAAN MANUFAKTUR SEKTOR MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2019-2022
Bibliographic record
Abstract
Skripsi dengan judul “Pengaruh Return On Equity, Debt to Equity Ratio, dan Price Earning Ratio terhadap Harga Saham Perusahaan Manufaktur Sektor Makanan dan Minuman yang Terdaftar di Bursa Efek Indonesia Periode 2019-2022”penelitian ini ditulis oleh Sitinur Hanifah, NIM. 126406202194, Pembimbing Nadia Roosmalita Sari, S.Pd., M.Kom. \nPenelitian ini bertujuan (1) untuk menguji pengaruh Return On Equity (ROE) terhadap harga saham di bursa efek Indonesia periode 2019-2022, (2) untuk menguji Debt to Equity Ratio (DER) terhadap harga saham di bursa efek Indonesia periode 2019-2022, dan (3) untuk menguji Price Earning Ratio (PER) terhadap harga saham di bursa efek Indonesia tahun 2019-2022. Penelitian ini menggunakan pendekatan kuantitatif dan jenis penelitian asosiatif dengan teknik analisis uji asumsi klasik dan regresi data panel. Data yang digunakan yaitu data sekunder yang diperoleh dari data publikasi website resmi Bursa Efek Indonesia (BEI) dan Perusahaan terkait. Menggunakan Eviews 12 sebagai alat penguji hipotesis. \nHasil pengujian hipotesis menggunakan uji t menunjukan bahwa variabel (1) Return On Equity (ROE) berpengaruh terhadap harga saham di bursa efek Indonesia, (2) Debt to Equity Ratio (DER) tidak berpengaruh terhadap harga saham di bursa efek Indonesia. (3) Price Earning Ratio (PER) tidak berpengaruh terhadap harga saham di bursa efek Indonesia. Kemudian melalui uji f dapat diketahui bahwa variabel Return On Equity (ROE), Debt to Equity Ratio (DER), dan Price Earning Ratio (PER) secara bersama-sama berpengaruh terhadap harga saham di bursa efek Indonesia. Hasil analisis koefisien determinasi menunjukan angka R-Square sebesar 98,01% variabel harga saham di pengaruhi oleh Return On Equity (ROE), Debt to Equity Ratio (DER), dan Price Earning Ratio (PER). Sedangkan sisanya 0,19% di pengaruhi oleh variabel lain diluar ketiga variabel yang digunakan dalam penelitian. \nKata kunci: Harga Saham, Return On Equity, Debt to Equity Ratio, Price Earning Ratio
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.006 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".