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The Influence of Production Costs, Working Capital, and Sales on Net Profit of Cosmetic Companies Listed on the IDX 2018–2023 Oktavia, Bianca; Firdaus, Edi; Handayani, Trustorini; Ramadhan, Muhamad Nur; Herdiansyah, Reynaldhy Putra
Jurnal Ilmu Keuangan dan Perbankan (JIKA) Vol. 15 No. 1: Desember 2025
Publisher : Program Studi Keuangan & Perbankan, Fakultas Ekonomi dan Bisnis, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jika.v15i1.18672

Abstract

This research investigates the impact of production costs, working capital, along with sales volume in relation to net profit in manufacturing companies within the cosmetics and household goods sub-sector registered on the Indonesia Stock Exchange for the period 2018 - 2023. This study employed a quantitative approach with descriptive and verification methods. By means of purposive sampling, five companies were selected, resulting in 30 observations over six years. Data analysis techniques include path analysis, classical assumption tests, correlation, coefficient of determination, and hypothesis testing, supported by IBM SPSS Statistics 20. The study demonstrates that production costs with working capital have insignificant and positive effect on net profit, while sales volume exhibits insignificant and negative effect. When tested simultaneously, all three variables show a positive but insignificant relationship with net profit. These results suggest that the profitability of companies in this subsector is not solely determined by production costs, working capital, along with sales volume, but is likely to be influenced by additional factors within and outside the organization beyond the scope of this study. Keywords: Production Costs; Working Capital; Sales Volume; Net Profit; Manufacturing Companies 
Analisis Sistematis tentang Bagaimana Analisis Big Data Mempengaruhi Pengambilan Keputusan Bisnis dalam Sistem Informasi Manajemen Iffan, Muhammad; Ramadhan, Muhamad Nur; Rizaldi, Arjuna
JURISMA : Jurnal Riset Bisnis & Manajemen Vol. 16 No. 1: April 2026
Publisher : Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jurisma.v16i1.19514

Abstract

This study examines how can Big Data Analytics contributes to better business decision-making through the use of Management Information Systems. This research is driven by the urgent need for organizations to make faster and more accurate decisions amidst intense competition as traditional information systems are no longer able to handle large and complex data. This study adopted a literature observation method compiled with PRISMA guidelines which analyzed a total of 20 scientific articles to investigate the latest research that discusses the relationship between analytical capabilities and systems in supporting management processes. The results show that the collaboration between Big Data Analytics and MIS can help companies understand market changes, assess operational efficiency, and formulate strategies based on real-time information. However, issues related to data accuracy, system readiness, and a shortage of skilled personnel remain major obstacles in this research. This study is recommended to understand how the use of analytics in Management Information Systems (MIS) can improve decision-making quality and organizational performance, while emphasizing the importance of balancing technology, human capabilities, and managerial practices. Keywords: Big Data Analytics; Management Information Systems; Decision Making; Business Intelligence; Systematic Literature Review