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All Journal OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat
Putri Aisy Salma
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Menuju Generasi Berkarakter: Sosialisasi Pendidikan Antikorupsi di SMK Al-Falah Jakarta Santi Rimadias; Marissa Grace Haque; Ajeng Rida Riyanti; Catur Nugrahani; Nikita Dewi Anjani Sudrajat; Putri Aisy Salma; Riedmen Gifar Widagdo; Yola Pangestu Anggraeni
Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Vol. 2 No. 3 (2024): Juli : Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/pandawa.v2i3.981

Abstract

Corruption remains a major challenge that hinders economic, social, and political progress. To overcome this problem in Indonesia, the STIE Indonesia Banking School community service team implemented an Anti-Corruption outreach program initiative targeted at Al-Falah Vocational School in Jakarta. This program utilizes a combination of interactive lectures, participatory discussions, and interesting quizzes to convey anti-corruption principles. The results of this program show a significant increase in students' understanding of corruption, its negative impacts, and the important role of integrity. These results underscore the efficacy of early anti-corruption education in cultivating a generation committed to ethical behavior and integrity and laying the foundation for a corruption-free future.
Pengukuran Financial Distress pada Sektor Property dan Real Estate yang terdaftar di Bursa Efek Indonesia Nadya Kamila; Ossi Ferli; Karina Putri Destania; Lavenia Permata Sari; Putri Aisy Salma
OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Vol 9 No 1 (2024): OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to evaluate the accuracy of four bankruptcy prediction models, namely Altman Z-Score, Springate, Zmijewski, and Grover, in predicting financial difficulties in property and real estate companies listed on the Indonesia Stock Exchange (BEI) during the 2020-2023 period. The data used in this research includes the annual financial reports of the companies selected as samples. The research method involves analyzing quantitative data from financial reports of property and real estate companies on the IDX, using purposive sampling techniques. Descriptive and statistical analysis was carried out to assess the company's condition based on the prediction model used. Research shows that the Grover model has a high level of accuracy in predicting financial distress compared to the other 3 models. The Altman Z-Score model is also considered the most suitable for this sector (Laksita Nirmalasari, 2018; Reza Prabowo & Wibowo, 2015). The research results show that the Grover model has the highest prediction accuracy (73.84%) compared to other models. The Mann Whitney test shows a significant difference between the model prediction results and the company's actual conditions, indicating the importance of choosing the right prediction model to manage the financial risk of property and real estate companies on the IDX.
Co-Authors Ajeng Rida Riyanti Catur Nugrahani Ferli, Ossi Karina Putri Destania Lavenia Permata Sari Marissa Grace Haque Nadya Kamila Nikita Dewi Anjani Sudrajat Riedmen Gifar Widagdo Santi Rimadias Yola Pangestu Anggraeni