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p-Index From 2020 - 2025
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All Journal Asian Journal of Management Analytics Jurnal Motivasi Pendidikan dan Bahasa Economic: Journal Economic and Business
Lukas Destria Putra Ginting
Universitas Negeri Medan
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Other

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Analysis of Financial Statements to Measure the Financial Performance of PT. Unilever Indonesia Tbk. Period 2020-2022 Mutiara Akbar Nasution; Lukas Destria Putra Ginting; Anisa Fitri; Nurdina Safitri
Asian Journal of Management Analytics Vol. 2 No. 2 (2023): April 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v2i2.3896

Abstract

Analyzing financial statements is not only to find out whether a company's financial performance is good or bad; it can also be used to determine or build a strategy for future company planning. The type of research we use is descriptive-quantitative. The population and sample used in this study are the company's financial statements from PT. Unilever Indonesia Tbk. for the period 2020–2022. By using data analysis techniques that use indicators on each finance, it can be compared between one period and another. Finance PT. Unilever Indonesia Tbk. appears to fluctuate towards worsening due to the difficulty in paying both short-term and long-term liabilities.
Penggunaan Metode Text Mining Untuk Mengekstrak Informasi Penting Dari Teks Laporan Penelitian Fitriani Lubis; Kartika Budi Ayuningtyas; Sagina Rahmadani; Zefanya Purba; Lukas Destria Putra Ginting; Rizky Afanin Syahrani; Jonathan Andrew; Wira Prayoga
Jurnal Motivasi Pendidikan dan Bahasa Vol. 1 No. 4 (2023): Desember : Jurnal Motivasi Pendidikan dan Bahasa
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jmpb-widyakarya.v1i4.1961

Abstract

This research explores the use of Text Mining Methods as an innovative approach to extract important information from research report text. With a strong conceptual foundation from the literature review, this research details the key concepts of Text Mining, such as tokenization techniques, sentiment analysis, and entity extraction. The steps of applying Text Mining Methods to research reports are explained in depth, with a focus on using such techniques to improve the efficiency and accuracy of information extraction. Through the evaluation of the method's performance, the research demonstrates a significant improvement in analysis speed and information extraction accuracy compared to conventional methods. The research conclusions provide a holistic picture of the potential of Text Mining Methods in improving the effectiveness of the research report text analysis process. The implications of this research stimulate thoughts on the applicability of this technology in various disciplines that rely on research reports as a primary source of information. Thus, this research makes a positive contribution to the understanding and development of text analysis techniques to support more efficient decision making.
Comparative Analysis of Financial Performance in National Private Banks Period 2021-2023 Using Descriptive Statistics and AHP Method Nasution, Mutiara Akbar; Ginting, Lukas Destria Putra; Fitri, Anisa
Economic: Journal Economic and Business Vol. 3 No. 4 (2024): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v3i4.848

Abstract

This study aims to analyze the financial performance of five national private banks in Indonesia during the period 2021-2023 using descriptive statistical methods and the Analytic Hierarchy Process (AHP). The six main financial ratios analyzed in this study include Capital Adequacy Ratio (CAR), Operating Costs to Operating Income (BOPO), Non-Performing Loan (NPL), Net Interest Margin (NIM), Current Account Saving Account (CASA), and Loan to Deposit Ratio (LDR). The results of the analysis show that Bank Permata has the best performance with the highest AHP score (0.92), supported by strong capital and good operational efficiency. Bank Danamon and Bank Panin are in second and third place, with AHP scores of 0.88 and 0.87, respectively, driven by advantages in interest income and credit expansion. Bank CIMB Niaga and OCBC NISP are at the bottom, with AHP scores of 0.80 and 0.72, indicating obstacles in operational efficiency and credit risk management. This study concludes that capital stability, operational efficiency, and the balance between credit expansion and liquidity are the main factors in determining bank financial performance. These findings are expected to be a reference for investors, regulators, and bank managers in making strategic decisions related to banking financial management.
Co-Authors Anisa Fitri Fitriani Lubis Jonathan Andrew Kartika Budi Ayuningtyas Mutiara Akbar Nasution Nurdina Safitri Rizky Afanin Syahrani Sagina Rahmadani Wira Prayoga Zefanya Purba