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All Journal Jurnal Ilmiah Research and Development Student Jurnal Sains Student Research
Royhan Zaki Ramadhana
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Analisis Dampak Penerapan Teknologi AI pada Pengambilan Keputusan Strategis dalam Sistem Informasi Manajemen Royhan Zaki Ramadhana; Muhammad Irwan Padli Nasution
JURNAL ILMIAH RESEARCH AND DEVELOPMENT STUDENT Vol. 2 No. 1 (2024): Februari
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jis.v2i1.579

Abstract

Tinjauan ini menyelidiki dampak penerapan teknologi kecerdasan buatan (AI) terhadap pengambilan keputusan strategis dalam sistem informasi manajemen (SIM).Penelitian ini menunjukkan bahwa AI memiliki potensi besar untuk meningkatkan kualitas keputusan strategis dengan menyediakan akses cepat ke data yang relevan, analisis mendalam, dan kemampuan memperkirakan tren pasar.Hasilnya, organisasi yang menerapkan AI pada SIM mereka dapat mengambil keputusan yang tepat dan merespons lebih cepat.Namun, penelitian ini juga mengungkapkan tantangan terkait, seperti kualitas dan keamanan data. Perhatian khusus harus diberikan pada masalah ini untuk menjamin integritas dan keamanan informasi.Ringkasnya, penerapan AI pada SIM menawarkan keuntungan signifikan dalam pengambilan keputusan strategis, namun memerlukan pengelolaan yang cermat.Temuan ini menyoroti perlunya organisasi untuk mempertimbangkan penggunaan AI yang tepat, menjaga keamanan data, dan memantau dampaknya untuk mendapatkan keunggulan kompetitif dalam mengambil keputusan strategis. Kata Kunci : Kecerdasan Buatan, Keputusan Strategis,Analisis
PENGEMBANGAN DATABASE DI ERA DIGITAL Royhan Zaki Ramadhana; Muhammad Irwan Padli Nasution
JOURNAL SAINS STUDENT RESEARCH Vol. 2 No. 4 (2024): Agustus : Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v2i4.1998

Abstract

Competition between businesses in this digital era is getting tighter and tougher. Business people must be able to utilize information technology to increase productivity and produce superior products. More than that, business people must also be able to utilize this technology to build business intelligence to increase their competitiveness. The data overflow phenomenon that occurs in this digital era must be able to be transformed into knowledge that is useful for technological progress. Therefore, business people must be able to apply big data technology to be able to manage data in large amounts, variety and very quickly. One of the big data technology ecosystems that plays an important role in data management is NoSQL databases. NoSQL databases are divided into four categories. Two of the most popular are document-oriented NoSQL databases and column-oriented NoSQL databases. So that big data technology can process internal data, it is necessary to have a good database transformation method to migrate data from RDBMS to NoSQL database. Several studies have been carried out on this matter.
Co-Authors Muhammad Irwan Padli Nasution