Ama Febriyanti
Universitas Negeri Malang

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Predicting Credit Paying Ability with Machine Learning Algorithms Ama Febriyanti; Tomy Rizky Izzalqurny
Majalah Bisnis & IPTEK Vol. 16 No. 1 (2023): Majalah Bisnis & IPTEK
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STIE Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/781ypr87

Abstract

Most people still have difficulty accessing finance because of a lack or even no credit history. This study aims to develop a data model that predicts a customer's ability to pay from various aspects other than credit history. This study uses the CRSIP-DM (Cross Industry Standard Process Model for Data mining) method. The data used in this study is the Home Credit Default Risk dataset collected by documentation techniques. The data were then analyzed using data modeling analysis techniques, namely logistic regressor, decision tree classifier, random forest classifier, and lgbm classifier. This study found that the best model for predicting client payment ability is the lgbm classifier or the Random Forest Classifier.
KINERJA KEUANGAN, MANAJEMEN LABA, DAN PENGHINDARAN PAJAK: APAKAH CSR INDUSTRI KONTROVERSIAL MEMILIKI PERAN? Ama Febriyanti; Triadi Agung Sudarto
Jurnal Bisnis dan Akuntansi Vol. 25 No. 2 (2023): Jurnal Bisnis dan Akuntansi
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Ilmu Ekonomi Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34208/jba.v25i2.2219

Abstract

This study examines the effect of financial performance and earnings management on corporate tax avoidance, and analyzes whether there is a moderating effect of CSR in these relationships. This research data was collected from 91 financial statements and sustainability reports of controversial companies listed on the Indonesia Stock Exchange (IDX) during the 2019-2020 period which were selected by purposive sampling method. CSR data is encoded with content analysis, while research hypotheses are tested with moderate regression analysis. The study found that financial performance negatively affected corporate tax avoidance, while profit management showed no significant effect. In addition, it is also known that CSR does not moderate the effect of financial performance or earnings management on tax avoidance. The results of this study can be used as input for companies to consider improving financial performance in reducing the need for tax avoidance strategies, so that company legitimacy can be maintained. In addition, tax authorities can make tax-intensive related policies to boost financial performance and reduce the level of corporate tax avoidance.