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All Journal SINTECH (Science and Information Technology) Journal Media Pustakawan
Hibatulwafi, Fathe
Unknown Affiliation
Computer Science & IT Library & Information Science

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Business Intelligence Implementation for Groceries Commodity Price Data Analytics Hibatulwafi, Fathe; Asmiyanto, Taufik
SINTECH (Science and Information Technology) Journal Vol. 7 No. 2 (2024): SINTECH Journal Edition Agustus 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v7i2.1676

Abstract

As a startup company specializing in agricultural technology, currently PT XYZ does not have any effective and integrated tools to analyze groceries commodity for purchase and sale data-driven decision making. This research will integrating multiple data sources for accurate analysis, tailoring the business intelligence (BI) system to PT XYZ’s specific needs, and developing a robust solution that supports comprehensive decision-making. BI implementation solution will be developed using Pentaho Data Integration & Apache Superset. Applied research used as its method, that contains processes to gather user requirements to gather user needs from each information, design the solution, and dashboard development. The study focused on analyzing data from both internal sources, such as purchase and sales transactions, and external sources, including market price data, using these BI tools to provide comprehensive insights. The developed dashboard contains several sections that allow users to see price recommendation price and get the insight for the last seven days trend, monitor the market position, see team performance, and find the summary about estimated and actual margin comparison. Pentaho successfully handled ETL and data modeling, while Apache Superset enabled straightforward dashboard setup, though chart customization is limited.
Fenomena Penggunaan Generative AI dalam Perilaku Pencarian Informasi Praktisi Teknologi Hibatulwafi, Fathe; Laksmi, Laksmi
Media Pustakawan Vol. 31 No. 2 (2024): Agustus
Publisher : Perpustakaan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37014/medpus.v31i2.5222

Abstract

The emergence of generative AI technology which has provided new experiences for technology practitioners in searching for information to obtain professional information needs and complete their tasks, needs to be studied further as an effort to anticipate various impacts and potentials that may occur. Therefore, research is needed that identifies the use of generative AI technology in the information behavior patterns of technology practitioners at the start-up company PT XYZ. This research used qualitative with phenomenological approach. Based on the experiences of the three informants when using generative AI to search for information, the informants had different needs, but the informants had positive experiences in using generative AI to search for information, so that it could be an alternative solution to the needs and problems they experienced. Informants have varied experiences in searching for information, and in some contexts there are even experiences of using similar strategies. Several strategies from the informants' search experiences consisted of using simple prompts, using prompts that were supported by additional context, and using prompts that contained scenarios and narratives. The information seeking behavior pattern of technology practitioners who uses generative AI in PT XYZ were identified as very varied based on their task and job functions, both in terms of needs and the search strategies they used.
Co-Authors Asmiyanto, Taufik Laksmi Laksmi