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Valuation Analysis of Joint Venture Value through Acquisition Process: Case Study of PT Pelat Timah Nusantara by PT Bumi Resources Mineral Wulandari, Rayuli; Syawaldi, Ahmad; Heikal , Jerry
Jurnal Sains dan Teknologi Vol. 6 No. 2 (2024): Jurnal Sains dan Teknologi
Publisher : CV. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/saintek.v6i2.3642

Abstract

The study aims to calculate the bid price of the combined company through the acquisition between PT Bumi Resources Mineral Tbk and PT Pelat Timah Nusantara Tbk using M&A valuation and structuring models. The valuation model includes discounted cash flow (DCF) analysis, comparable company analysis, and market value methods. M&A structuring involves financial arrangements, legal considerations, and integration strategies to merge the operations of both companies. The acquisition was made at a bid price of IDR 115.56 per share. The equity value of the target company was 2.87 T with a per-share value of 1140.79, while the equity value of the acquiring company was 4.21 T with a per-share value of 29.76. After the acquisition, the new company's equity value is 22.8 T with a per-share value of 115.56. Findings indicate that the bid of the new company may be considered undervalued because the per-share equity value is lower compared to pre-acquisition, suggesting unrealized potential value if the bid price per share is below the pre-acquisition equity value per share.
PENERAPAN METODE REGRESI LOGISTIK BINER DENGAN MENGGUNAKAN PHYTON UNTUK MENGANALISA PENGGUNA MEDIA SOSIAL TERHADAP PROBABILITAS PEMBUKAAN REKENING PADA BANK X Riyani, Sari; Kristianto, Fajar; Wulandari, Rayuli; Heikal, Jerry
SCIENTIFIC JOURNAL OF REFLECTION : Economic, Accounting, Management and Business Vol. 7 No. 2 (2024): SCIENTIFIC JOURNAL OF REFLECTION: Economic, Accounting, Management, & Business
Publisher : Sekolah Menengah Kejuruan (SMK) Pustek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/sjr.v7i2.840

Abstract

In the rapidly developing digital era, financial institutions, such as Bank X, can utilize social media to understand consumer behavior and expand their customer base. This research uses a binary logistic regression method with social media user data to analyze the relationship between online activity and the decision to open an account at the bank X. The aim of this research is to assess the influence of user activity on social media platforms (Instagram, TikTok, Facebook, Twitter and YouTube) on the decision to open an account at the Bank X as well as analyze and identify key variables that influence the decision to open an account, based on media activity data. social. Results show that Instagram has a significant influence, with the combination of social media platforms increasing the probability of opening an account. TikTok and Facebook also have a positive impact, while Twitter and YouTube have a lower impact. Recommended marketing strategy to focus more on Instagram, with an emphasis on a combination of other social media platforms. From the results of the scenario interpretation, Instagram has a significant positive influence on the decision to open an account, with the highest probability among other individual platforms. TikTok, Facebook, and Twitter also have a positive impact, although their probabilities tend to be similar. Meanwhile, YouTube's influence on the decision to open an account seems to be lower than other social media platforms.