Anindyarta Adi Wardhana
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PENGARUH KARAKTERISTIK PERUSAHAAN TERHADAP TINGKAT PENGUNGKAPAN RISIKO (Studi Empiris pada Perusahaan Nonkeuangan yang Terdaftar di Bursa Efek Indonesia) Anindyarta Adi Wardhana; Nur Cahyonowati
Diponegoro Journal of Accounting Volume 2, Nomor 3, Tahun 2013
Publisher : Diponegoro Journal of Accounting

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (881.007 KB)

Abstract

The purpose of this research is to analyze the effect of company characteristics such as ownership structure, independent nonexecutive director, audit committee independence, external auditor quality, firm size, leverage and industry type on the level of risk disclosure on all nonfinancial companies listed on the Indonesia Stock Exchange in 2011. This study is a replication of the research that has been done by Oliviera et al. (2011). However, control variable which are listing status and accounting standard that were used by Oliviera et al. (2011), are not being used in this research, because the variable is not applied in Indonesia. Financial companies are not used because they have different regulations with nonfinancial companies. This research is an empirical study with purposive sampling techniques in data collection with the following criterias: 1. Non-financial companies listed on the Indonesia Stock Exchange in 2011. 2. Completed annual reports published in 2011. The data obtained from annual report of 328 non-financial companies listed on the Indonesia Stock Exchange in 2011. Data were analyzed by Partial Least Square.The hypothesis in this research are as follows, 1. Concentrated ownership structure affects negatively on the level of risk disclosure, 2. Independent nonexecutive director affect positively on the level of risk disclosure, 3. Independent audit committees affect positively on the level of risk disclosure, 4. Big4 accounting firm engagement affect positively on the level of risk disclosures, 5. Leverage affects positively the level of risk disclosure, 6. Firm size affect positively on the level of risk disclosure, 7. High level of environmental sensitivity affect positively on the level of risk disclosure. The results from the test of hypothesis indicated that the size and quality of the company's external auditors are significantly influenced on the level of risk disclosure. Furthermore, the ownership structure, independent nonexecutive director, audit committee independence, leverage and industry type does not significantly influenced the level of risk disclosure. The result of this study provides information for investor about the risk that company could have, and also useful to give information for decision making.
Segmentation of Construction Companies Based on Financial Performance Indicators for Acquisition Using K-Means Adi Wardhana, Anindyarta; Mulyani, Sarah; Herry K, Raras; Heikal, Jerry
Journal Research of Social Science, Economics, and Management Vol. 5 No. 8 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i8.1347

Abstract

The acquisition process in the construction industry requires careful evaluation of potential targets, particularly regarding financial performance. Data-driven segmentation has become a strategic method to group companies based on financial characteristics, enabling objective acquisition decisions. This study applies the K-Means Clustering algorithm to segment construction companies using key financial indicators, including P/E ratio, Price-to-Book Value (Price to BV), D/E ratio, ROA, ROE, and NPM. Secondary data from financial statements of construction companies listed on the Indonesia Stock Exchange (IDX) during 2023–2024 were analyzed. Five clusters were identified, reflecting varying levels of financial performance and risk. Among the 23 companies studied, 18 experienced a decline in performance. Notably, PT Totalindo Eka Persada Tbk showed the most significant decline, with a high D/E ratio and negative NPM, suggesting it as a potential acquisition target at a lower price. Post-acquisition, financial and operational restructuring, governance improvements, project diversification, and cost-efficiency measures are recommended. Each cluster presents distinct characteristics relevant for acquisition strategy; for example, high-profitability but low-solvency clusters may attract high-risk investors. This study demonstrates how data mining techniques support corporate due diligence and strategic decision-making, offering a structured approach to identify companies with differing financial strengths and weaknesses. The findings contribute to advancing quantitative approaches in acquisition planning, highlighting how clustering techniques can enhance objective evaluation and strategic alignment in mergers and acquisitions.