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Implementation of Information System in Indonesian Traditional Beverage Businesses Hadi Purnomo; F R Fitrah; R Maulana; M M Pratadina
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol 2 No 1 (2021): International JournalĀ of Informatics, Information System and Computer Engineering
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1019.069 KB) | DOI: 10.34010/injiiscom.v2i1.4863

Abstract

This study aims to apply the information system to every business owner who can inform businesses beverage container business through information technology. The function of this information system's application is for business owners and customers interested in buying products business. This study is an application of information systems in the Indonesian Traditional Beverage Business. This study's method was conducted using qualitative descriptive writing method of collecting data through literature study and observation to the growing beverage business owners. Information system development is conducted using the waterfall method. The results of this study show an overview of how the information system is expected by the business owner as well as the beverage business impact that can provide the quality of the business product beverage business is being run. The conclusion is that there is a large information container such as a website application applied to the Indonesian traditional beverage business so that website visitors can see, buy, or provide suggestions or comments regarding the already available products
The Influence of Third Party Fund to Net Profit Margin at PT. Bank Tabungan Negara (Persero) Tbk. (Period 2014-2020) Hadi Purnomo; Rani Widianingsih
International Journal of Education, Information Technology, and Others Vol 4 No 4 (2021): International Journal of Education, information technology and others
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (138.775 KB) | DOI: 10.5281/zenodo.5775910

Abstract

The purpose of this study is to determine the development of third party funds and net profit margins and to determine how much influence third party funds have on net profit margins at PT. Bank Tabungan Negara (Persero) Tbk.The research method used is descriptive verification method with a quantitative approach. By using secondary data in the form of a statement of financial position and income statement obtained from the IDX. Data collection techniques using field studies and literature studies. The data were analyzed using the calculation of the development of third party funds and net profit margins, and analyzed using statistical analysis assisted by SPSS Statistics 22 for windows.The results of this study indicate that third party funds have a very low relationship to net profit margins. With the influence that third party funds do not affect the net profit margin much. The results of simple linear regression analysis have a negative effect which shows that the relationship between third party funds and net profit margins is not unidirectional. And when viewed at the level of significance, it has no significant effect. So it can be concluded that third party funds have a negative and no significant effect on net profit margins, meaning that if third party funds increase, it will not always affect net profit margins.
Integrasi Arsitektur Ekosistem Big Data Dan Sistem Informasi Dengan Machine learning Untuk Pengambilan Keputusan Bisnis Hadi Purnomo; Fipih Badriyah Nirtana; Suryatno Wiganepdo Soegoto
JEMBA Vol 6 No 1 (2026): Journal of Economics, Management, Business and Accounting
Publisher : Fakultas Ekonomi dan Bisnis Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jemba.v6i1.19507

Abstract

Integrasi dari big data dan sistem informasi untuk machine learning sangat penting dalam mendukung pengambilan keputusan bisnis. Penelitian sebelumnya yang belum membahas mengenai arsitektur ekosistem big data memungkinkan integrasi tersebut tidak berjalan optimal. Tujuan dari penelitian ini sendiri yaitu untuk mengidentifikasikan mengenai struktur utama dari arsitektur ekosistem big data dan menjelaskan peran dari komponen sistem informasi dalam meningkatkan dan mempercepat dalam pengambilan keputusan bisnis, serta menganalisis penerapan machine learning dalam ekosistem big data. Metode yang digunakan dalam penelitian ini adalah tinjauan literatur dengan menyeleksi artikel yang relevan menggunakan pendekatan PRISMA. Hasil menunjukkan bahwa arsitektur ekosistem big data yang terdiri dari lapisan ingestion, penyimpanan terdistribusi, pemprosesan data, dan aplikasi visualisasi yang tepat dan akurat pada sistem informasi dapat mempercepat pengambilan keputusan dengan hasil secara real-time, serta machine learning yang dioptimalkan dengan komputasi terdistribusi. Penelitian ini berkontribusi untuk memberikan pemahaman lebih lanjut mengenai arsitektur ekosistem big data yang dapat dijadikan fondasi untuk keputusan bisnis yang akurat.
The Effect of Inflation, Firm Age, and Firm Size on Profitability (Case Study on Non-Cyclical Consumer Goods Sector Companies Listed on the Indonesia Stock Exchange for the 2019-2023 Period) Anyelir Anyelir; Edi Firdaus; Hadi Purnomo; Syaira Zahra Anjani; Alisya Nathaniela
Jurnal Ilmu Keuangan dan Perbankan (JIKA) Vol. 15 No. 2: Juni 2026
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.v15i2.18322

Abstract

This study aims to determine the effect of inflation, firm age, and firm size, both partially and to determine each the development of each variable in Consumer Non-Cyclicals Sector Companies the 2019-2023 period. The research method used is a descriptive and verifiable method with a quantitative approach. The data used are secondary data, including Inflation, Firm Age, Firm Size, and Profitability data. The sample used in this study consists of of financial statements from the 2019 to 2023 period, with 6 companies comprising a total of 30 samples. The statistical tests conducted include multiple linear regression analysis, classical assumption tests, correlation analysis, determination coefficient analysis, and hypothesis testing using SPSS 25 for Windows. Based on the results of the T-test in this study, inflation has a negative and insignificant effect on company profitability, company age has a positive and significant effect, company size has a negative and significant effect. effect, and the F-test results indicate that inflation, firm age, and firm size have an effect on profitability. Keywords: Inflation; Firm Age; Firm Size; Profitability; Consumer Non-Cyclicals Sector Companies