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All Journal Asian Journal of Management Analytics Jurnal Sains, Teknologi dan Komputer
Rahma Nadila Ulfa
Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Analysis of Financial Ratio at PT. Indofood Sukses Makmur Tbk in 2020-2022 Anjel Monika LT; Bon Jovi M Panjaitan; Emya M. K Tumangger; Rahma Nadila Ulfa
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.v2i2.3885

Abstract

This study aims to evaluate the financial performance of PT Indofood Sukses Makmur Tbk using relevant financial ratios for the 2020-2022 period. The methodology used includes descriptive analysis and quantitative analysis. Financial ratio analysis consists of liquidity ratios, profitability ratios, activity ratios, and solvency ratios. The results showed that in 2022, the liquidity ratio increased significantly while the solvency ratio decreased. The activity ratio has increased after experiencing a decline in 2021, and the profitability ratio has decreased every year. The average financial ratio yield in 2020 was better than the following two years. This research provides new insights into the importance of using financial ratios in evaluating a company's financial performance and can improve understanding of the importance of financial ratios in business decision making.
Penggunaan NLP dalam Analisis Sentimen untuk Meningkatkan Kepuasan Pelanggan pada Pengguna E-commerce: Lazada Anjel Monika Lumban Toruan; Bonjovi Marselino Panjaitan; Emya Malum Karina Tumangger; Rahma Nadila Ulfa; Gabriella Dominggoes Panjaitan
Jurnal Sains, Teknologi & Komputer Vol. 1 No. 1 (2024): Jurnal Sains, Teknologi & Komputer (SAINTEK)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/saintek.v1i1.452

Abstract

The rapid growth of e-commerce in Indonesia has increased competition in this industry. To retain customers and win the competition, e-commerce platforms need to deeply understand customer needs and wants. One way to understand customer sentiment is to use NLP and sentiment analysis. This research aims to analyze the influence of NLP: Sentiment Analysis in increasing customer satisfaction among e-commerce users: Lazada. This research uses quantitative methods with a survey approach. Data is collected by: Collecting reviews and comments from Lazada customers on platforms and social media. Analyze data using NLP techniques: Sentiment Analysis to identify customer sentiment. Conduct statistical analysis to determine the relationship between customer sentiment and customer satisfaction. The research results show that there is a significant relationship between customer sentiment and Lazada customer satisfaction. Customers who are satisfied with Lazada's services tend to give positive reviews. These positive reviews can help Lazada to understand customer needs and wants. This can be used to improve the quality of Lazada products and services, as well as provide a better customer experience. Here are some of the benefits of NLP: Sentiment Analysis in increasing customer satisfaction: Helping e-commerce players to understand customer needs and desires, helping e-commerce players to identify problems faced by customers, helping e-commerce players to improve the quality of products and services, helping e-commerce players to provide a better customer experience. Therefore, e-commerce players can utilize NLP: Sentiment Analysis to increase customer satisfaction and increase their business competitiveness.
Co-Authors Anjel Monika LT Anjel Monika Lumban Toruan Bon Jovi M Panjaitan Bonjovi Marselino Panjaitan Emya M. K Tumangger Emya Malum Karina Tumangger Gabriella Dominggoes Panjaitan