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All Journal Sigma : Journal of Economic and Business MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Ibnu Hajar
STIE Enam Enam Kendari
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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PENGARUH KEBIJAKAN HUTANG TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN FOOD AND BEVERAGE BURSA EFEK INDONESIA Ketut Susanta; Ibnu Hajar; Wahyuni Rahmah
Sigma: Journal of Economic and Business Vol 5 No 1 (2022): Sigma : Journal of Economic and Business
Publisher : STIE ENAM ENAM KENDARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60009/1k0pjd57

Abstract

This reaearch is a qualitative research that aims to determine: 1. The effect of debt policy (DAR and DER) on the financial performance of the IDX Food and Beverage company; 2. The effect of DAR on the financial performance of IDX Food and Beverage companies; 3. The effect of DER on the financial performance of IDX Food and Beverage companies. Food and Beverages companies are one of the sectors of manufacturing companies that continue to experience growth over time.The results of this study indicate that debt policy as measured by the debt to asset ratio and debt to equity ratio simultaneously has a positive and significant effect on the financial performance of food and beverage companies on the IDX. This shows that the use of proportional debt will further improve the company's financial performance; Debt to asset ratio has a negative and significant effect on the financial performance of food and beverage companies on the IDX. This shows that the lower the company's DAR ratio, the more it will improve the company's financial performance; Debt to equity ratio has a positive and insignificant effect on the financial performance of food and beverage companies on the IDX. This shows that the better the company's DER ratio, the more the company's financial performance will improve but not significantly.
PENGARUH BAURAN PEMASARAN TERHADAP KEPUTUSAN PEMBELIAN SEPEDA MOTOR HONDA DI DEALERPT. NUSANTARA SAKTI CABANG MANDONGA KOTA KENDARI Sulaiman; Ibnu Hajar; La Ode Almana
Sigma: Journal of Economic and Business Vol 5 No 2 (2022): Sigma : Journal of Economic and Business
Publisher : STIE ENAM ENAM KENDARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60009/z49kka34

Abstract

The purpose of the study was to determine the effect of the marketing mix on purchasing decisions for Honda motorcycles at Dealer PT. Nusantara Sakti Mandonga Branch, Kendari City. The population in this study were all consumers of PT. Nusantara Sakti Mandonga Branch, Kendari City, who bought 278 Honda motorcycles in 2021. The sample of this study was 74 respondents using the slovin method. The type of data used in this study is primary data. The data analysis method used is quantitative descriptive analysis. The analytical tool used is simple Linear Regression. The results of the study stated that the marketing mix which includes; product, price, place and promotion have a positive and significant effect on purchasing decisions, meaning that the higher or better the marketing mix, the purchasing decisions will increase.
Meta-Learned Basis Reconfiguration: Drift-Aware Hypernetwork Ensembles for Real-Time Financial Fraud Detection Rachmawati Rachmawati; Ibnu Hajar; Ummy Kalsum; Wahyuni Rahmah
MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Vol. 3 No. 1 (2025): Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Publisher : LP3M INSTITUT KH YAZID KARIMULLAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/3kz0zg73

Abstract

Financial fraud detection in transaction streams faces distributional change, severe class imbalance, delayed outcome labels, and strict inference-time constraints. This study presents a drift-aware ensemble architecture in which ADWIN and Page–Hinkley statistics condition a hypernetwork that generates low-dimensional adaptation coefficients and detector-gating weights. Episodic meta-training is designed to expose the controller to simulated changes in fraud behavior, while a dual-timescale mechanism separates rapid configuration updates from slower controller refinement. The architecture further specifies versioned logging for decision traceability. An evaluation protocol is described for chronological transaction streams, including static and adaptive baselines, precision–recall performance, adaptation delay, serving latency, and component ablations. Numerical results presented in this manuscript require verification against the original experiment outputs and implementation before they can be treated as empirically established findings. The central contribution is a testable architecture for conditional ensemble adaptation; its comparative effectiveness and deployment readiness remain subject to reproducible validation.
Co-Authors Kalsum, Ummy Ketut Susanta La Ode Almana Rachmawati Rachmawati Sulaiman Suprapti Vivianti Wahyuni Rahmah