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"Pasar modal berkembang pesat di Indonesia dengan peningkatan 79 jumlah emiten saham baru dan peningkatan 17,9% jumlah investor baru. Perkembangan ini dipacu oleh Otoritas Jasa Keuangan yang meyakinkan bahwa setiap perusahaan terbuka selalu diawasi dengan cara mewajibkan perusahaan terbuka untuk menyampaikan laporan keuangan secara berkala. Akan tetapi pada kenyataannya, tindakan kecurangan laporan keuangan bukan menjadi hal yang langka. Association of Certified Fraud Examiner melaporkan bahwa 9,2% kecurangan di Indonesia merupakan kecurangan laporan keuangan dengan total kerugian hingga Rp242.260.000.000. Sementara, proses audit konvensional serta laporan yang menjadi 72% dari media deteksi saat ini membutuhkan 12 bulan untuk mendeteksi kasus kecurangan. Penelitian ini akan menggunakan metode ensemble learning berbasis optimasi metaheuristik untuk mengembangkan model deteksi kecurangan pada laporan keuangan. Beberapa metode klasifikasi digunakan untuk mengembangkan model, yaitu Random Forest dan XGBoost. Optimasi metaheuristik dengan metode Genetic Algorithm kemudian digunakan sebagai dasar dari proses hyperparameter tuning pada model tersebut. Hasil deteksi terbaik pada penelitian ini adalah model XGBoost dengan parameter teroptimasi yang menghasilkan akurasi sebesar 98,04% dan sensitivitas 99.02%.

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The capital market is growing rapidly in Indonesia, gaining 79 new stock issuers and a 17.9% increase in the number of new investors in 2023. This development is driven by Otoritas Jasa Keuangan, which ensures that every public company is always monitored by requiring them to submit financial statements regularly. However, financial statement fraud is not uncommon. The Association of Certified Fraud Examiners reports that 9.2% of fraud cases in Indonesia involve financial statement fraud, with total losses amounting to Rp242,260,000,000. Meanwhile, conventional audit processes and reports, which account for 72% of current detection methods, take 12 months to detect fraud cases. This study will use an ensemble learning method based on metaheuristic optimization to develop a fraud detection model for financial statements. Several classification methods, namely Random Forest and XGBoost, are used to develop the model. Metaheuristic optimization using the Genetic Algorithm method is then applied as the basis for hyperparameter tuning in this model. The best detection result in this study is achieved by the XGBoost model with optimized parameters, yielding an accuracy of 98.04% and a sensitivity of 99.02%."

"ABSTRACTPenelitian ini bertujuan untuk memeriksa apakah terdapat tata kelola yang lebih lemah pada fraud firm dibanding control firm pada periode sebelum terjadi kecurangan dan apakah terdapat perbaikan tata kelola perusahaan yang dilakukan oleh fraud firm pada periode setelah kecurangan. Penelitian ini menganalisis tata kelola perusahaan yang diukur menggunakan variabel efektivitas dewan komisaris, efektivitas komite audit, kualitas audit, dan struktur kepemilikan.Hasil uji beda menunjukkan bahwa fraud firm lebih lemah dalam kualitas audit dan bahwa fraud firm melakukan perbaikan pada kompetensi dewan komisarisnya. Selain itu, kecurangan menyebabkan penurunan kepemilikan terkonsentrasi pada fraud firm.

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ABSTRACTThis research?s objective is to check whether fraud firm has weaker corporate governance compared to control firm in the period before fraud occured and whether fraud firm make improvements on its corporate governance in the period following fraud. This research analyzes corporate governance structures which are measured by board of commissioners effectiveness, audit committees effectiveness, audit quality, and ownership structure.The results show that fraud firm has weaker audit quality and that fraud firm makes improvement on its board of commissioners? competence. Besides, fraud occurence causes decline on fraud firm?s blockholders ownership."

"ABSTRAKPenelitian ini bertujuan untuk memeriksa apakah terdapat tata kelola yang lebih lemah pada fraud firm dibanding control firm pada periode sebelum terjadi kecurangan dan apakah terdapat perbaikan tata kelola perusahaan yang dilakukan oleh fraud firm pada periode setelah kecurangan. Penelitian ini menganalisis tata kelola perusahaan yang diukur menggunakan variabel efektivitas dewan komisaris, efektivitas komite audit, kualitas audit, dan struktur kepemilikan. Hasil uji beda menunjukkan bahwa fraud firm lebih lemah dalam kualitas audit dan bahwa fraud firm melakukan perbaikan pada kompetensi dewan komisarisnya. Selain itu, kecurangan menyebabkan penurunan kepemilikan terkonsentrasi pada fraud firm.

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ABSTRACTThis research’s objective is to check whether fraud firm has weaker corporate governance compared to control firm in the period before fraud occured and whether fraud firm make improvements on its corporate governance in the period following fraud. This research analyzes corporate governance structures which are measured by board of commissioners’ effectiveness, audit committee’s effectiveness, audit quality, and ownership structure. The results show that fraud firm has weaker audit quality and that fraud firm makes improvement on its board of commissioners’ competence. Besides, fraud occurence causes decline on fraud firm’s blockholders ownership."

"Penelitian bertujuan untuk menguji pengaruh karakteristik komite audit (independensi komite audit, kompetensi komite audit, aktivitas komite audit) serta karakteristik perusahaan (kepemilikan manajerial..."

"ABSTRACTThis study was to determine the effect of financial targets, financial stability, external pressure, ineffective monitoring, the nature of industry, change in auditors, rationalization, change of directors, and CEOs picture of fraudulent financial statements in mining companies in Indonesia. This study uses descriptive quantitative methods. Technique of collecting data through documentation. The data used in this study are secondary data in the form of annual reports or annual reports of mining sector companies listed on the Indonesia Stock Exchange for the period 2013 2017. Next, the data was tested using multiple linear regression methods. The results of the study found that the target Financial and Nature of industry had an effect on fraudulent financial statements. Meanwhile, Financial stability, External pressure, and Ineffective monitoring, Change in auditors, Rationalization, and Change of directors, and CEOs picture, have no effect on fraudulent financial statements in mining companies in Indonesia."

"The purpose of this research is to examine factors that may affect fraud on financial statements that could encourage the emergence of corruption by management. This research uses banks as an industry sample because the banking industry is highly regulated and should report their financial statement to a central bank. Meanwhile, banks still frequently have fraudulent financial statements. Good corporate governance mechanisms indicated that banks have the capability to detect fraud in financial statements. This research focuses on testing factors that may affect the financial statements fraud which lead to the corruption of management. The data used in this research is financial statement data. Corporate governance mechanisms tested in this study are the number of commissioners, percentage of independent directors, number of commissioners meeting, percentage of largest share ownership, managerial ownership, long tenure of commissioners, and type of auditor. This research found that the number of commissioners and managerial ownership affects managements fraud, while the number of independent directors, the number of commissioners meeting, a long tenure managing director, large share ownership, and the type of auditor has no effect on fraud."