Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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This Author published in this journals
All Journal Siber International Journal of Digital Business Dinasti Information and Technology
Helena Louise Panggabean
Universitas Mohammad Husni Thamrin, Jakarta, indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Business Management: Analysis of Entrepreneurship and Marketing Mix Helena Louise Panggabean; Mochammad Subagio; Nunung Ayu Sofiati; Primadi Candra Susanto
Siber International Journal of Digital Business (SIJDB) Vol. 1 No. 4 (2024): (SIJDB) Siber International Journal of Digital Business (April - June 2024)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i1.35

Abstract

Business management articles: Enterpreneurship and marketing mix analysis are scientific literature articles within the scope of marketing management science. The aim of this research is to build a hypothesis regarding the influence between variables which can later be used for futher research within the scope of marketing management. The research method used is descriptive qualitative. The data collection tecnique is using literature study. Data was obtained from previous research that is relevant to this research and sourced from academic online media such as Publish or Perish, Google Scholar, digital reference books and the journal Sinta. The results of this article are: 1) Enterpreneurship influences business management; and 2) Marketing Mix influences business management  
Artificial Intelligence (AI) in Support of Marketing Helena Louise Panggabean; Ryan Firdiansyah Suryawan; Indra Sani; Didin Sjarifudin
Dinasti Information and Technology Vol. 1 No. 2 (2023): Dinasti Information and Technology (October 2023)
Publisher : Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dit.v1i2.295

Abstract

The purpose of this paper can be more focused and informative to provide a better understanding of the concept of AI in the context of marketing, references derived from related literature. This paper uses qualitative methods by providing findings from various existing journal literature related to the topic, after that the findings are discussed and provide a view in the discussion in this paper. A search of the papers used in support of this paper dozens of articles related to the topic. The use of AI in supporting marketing strategies, such as increased efficiency, personalization, and campaign optimization. Describes how AI can be used to analyze consumer data at scale, including preferences, online behavior, and purchasing patterns. AI can help in identifying and solving marketing problems, as well as achieving business goals through in-depth data analysis and intelligent recommendations. challenges associated with implementing AI in marketing, including privacy concerns, data security, and ethical concerns. In addition, we also provide a second perspective, namely that this paper provides deep insight into how AI plays a supporting role in the marketing realm and its impact on business strategy and outcomes.Recommendations for the findings in this paper in addition to providing benefits and contributions to other researchers, can be developed into a follow-up research.
Co-Authors Didin Sjarifudin Indra Sani Mochammad Subagio Mochammad Subagio Nunung Ayu Sofiati (Efi) Primadi Candra Susanto Ryan Firdiansyah Suryawan