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Perina Amelia
President University
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Predicting Financial Distress Using DEA and Multivariate Discriminant for Tourism, Restaurant, and Hotel Sector in Indonesia Perina Amelia; Chandra Setiawan
Journal of International Conference Proceedings Vol 5, No 4 (2022): FEBIC International Conference Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v5i4.1936

Abstract

Financial distress is a condition in which a company experiences decline and difficulty to fulfil its financial obligations. Financial distress prediction aims to identify early warning indicators of impending financial disaster so businesses can begin financial reconstruction at the appropriate moment. This study aims to compare the statistically significant difference results of various financial prediction models and the level of accuracy of each model in 25 companies engaged in the hotel, restaurant, and tourism sectors in 2018-2021. By using Kruskal-Wallis Test, Mann-Whitney Post Hoc Test, and accuracy test to compare each model. The results of this study are based on the Kruskal-Wallis test, all models used are statistically significant differences. Meanwhile, when paired using the Mann-Whitney Post-Hoc Test, it was found that the Springate and Grover models did not have a statistically significant difference. In addition, the results of the test accuracy show that the DEA accuracy rate of 79%, and the Springate model with the lowest accuracy of 33%. The results interpret that each model has its own indicator for predicting financial distress. It is recommended in examining the financial distress of hotel, restaurant, and tourism companies using DEA model since it results in the highest accuracy rate. Keywords: DEA, financial distress, multivariate discriminant analysis
Empirical study: the urgency of extraterritorial principles in business competition law in Indonesia Chandra Setiawan; Fennieka Kristianto; Perina Amelia; Dania Sabrina; Andryan Maju Kevin Martin Purba; Kezia Sharon Christabella; Nadya Nadya; Reygita Yusiani
Jurnal Indovisi Vol. 7 No. 3 (2025): Jurnal Indovisi
Publisher : Indonesian Indovisi Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32698/19072408

Abstract

Today's fast-paced economy makes business transactions seamless and seamless. Transactions are no longer only local, but also spread across countries. The economic system in this modern era 'obliges' a country to be able to properly apply business competition law. One of the functions of business competition law is as a means of controlling the abuse of economic power by business actors by preventing monopolistic practices and unfair business competition. Meanwhile, in Law no. 5/1999, the ICC has no extraterritorial powers. The research method used in this research is normative juridical by making Law No. 5 Year 1999 as the object of study.
Pengawasan persaingan usaha dalam ekosistem ekonomi digital: tantangan dan implikasi regulasi Chandra Setiawan; Fennieka Kristianto; Andryan Maju Kevin Martin Purba; Dania Sabrina; Kezia Sharon Christabella; Nadya Nadya; Perina Amelia; Reygita Yusiani
Jurnal Indovisi Vol. 6 No. 3 (2024): Jurnal Indovisi
Publisher : Indonesian Indovisi Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32698/19073508

Abstract

Perkembangan ekonomi digital telah mengubah secara mendasar struktur pasar dan dinamika persaingan usaha, sehingga menimbulkan tantangan baru bagi efektivitas pengawasan persaingan usaha. Penelitian ini bertujuan menganalisis dampak ekosistem ekonomi digital terhadap persaingan usaha di Indonesia serta mengkaji optimalisasi peran Komisi Pengawas Persaingan Usaha (KPPU) dalam menghadapi potensi praktik persaingan usaha tidak sehat di era digital. Penelitian ini menggunakan desain yuridis-normatif dengan pendekatan deskriptif-analitis, berbasis data sekunder berupa peraturan perundang-undangan, literatur ilmiah, dan dokumen kebijakan terkait ekonomi digital dan hukum persaingan usaha. Hasil penelitian menunjukkan bahwa ekonomi digital mendorong peralihan struktur pasar menuju sistem berbasis platform dan data, yang memperkuat konsentrasi pasar serta meningkatkan kompleksitas penilaian market power. Karakteristik tersebut menimbulkan risiko praktik persaingan usaha tidak sehat yang sulit dideteksi melalui mekanisme pengawasan konvensional. Penelitian ini menegaskan pentingnya pembaruan kerangka regulasi dan penguatan kapasitas kelembagaan KPPU agar pengawasan persaingan usaha tetap efektif dalam menghadapi dinamika ekonomi digital.
Co-Authors Andryan Maju Kevin Martin Purba Andryan Maju Kevin Martin Purba Chandra Setiawan Dania Sabrina Dania Sabrina Fennieka Kristianto Kezia Sharon Christabella Kezia Sharon Christabella Nadya Nadya Nadya Nadya Reygita Yusiani Reygita Yusiani