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Pengenalan Investasi Saham dan Pengelolaan Risiko Bagi Mahasiswa Administrasi Bisnis M Novrizal Ramadhan; Leonardo Davidsi Sipayung; Eureka Try Zarazwanty R. Laega; Fahrian Arsyam Gultom; Zulfikar
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 4 No. 1 (2026): Januari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v4i1.8555

Abstract

Students’ interest in stock investment has increased alongside the growth of financial technology and easier access to capital markets. However, this interest is not fully supported by adequate understanding of investment risks and risk management strategies. This community service program aimed to improve Business Administration students’ understanding of stock investment and risk management as a basis for rational investment decision-making. The program was implemented through preparation, educational activities, and evaluation using an educative and participatory approach. The results show that although students initially had limited knowledge of investment risks, their understanding and perception of risk improved after the program. This activity contributes positively to enhancing students’ financial literacy in higher education.
Integrasi Persepsi Kegunaan, Kualitas Sistem, dan Kredibilitas Algoritma dalam Mendorong Adopsi AI Marketing Febisatria, Andhi; Aryan Agus Pratama; Leonardo Davidsi Sipayung; Eureka Try Zarazwanty R. Laega; Zulfahmi
Jurnal Salingka Nagari Vol. 4 No. 2 (2025): Jurnal Salingka Nagari
Publisher : Universitas Negeri Padang

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Abstract

Provide The utilization of Artificial Intelligence (AI) in digital marketing has grown rapidly, yet adoption levels among business actors remain varied. This study aims to analyze the influence of perceived usefulness, system quality, and algorithm credibility on the intention to use AI marketing. The research sample consisted of 100 business actors who have experience using AI marketing, distributed across Indonesia. A quantitative approach was employed, with data collected through surveys and analyzed using simple and multiple regression to examine the effects of independent variables on the intention to use AI marketing. The results indicate that perceived usefulness, system quality, and algorithm credibility have both partial and simultaneous positive and significant effects on the intention to adopt AI marketing. These findings highlight the importance of enhancing understanding of technological benefits, system reliability, and algorithm transparency to promote AI adoption in digital marketing practices, providing strategic implications for AI developers and business actors. 
UTILIZATION OF ARTIFICIAL INTELLIGENCE IN PUBLIC SERVICES THROUGH THE CHATBOT “JESSICA” ON THE JOGJA SMART SERVICE APPLICATION IN YOGYAKARTA CITY Fattah, Arsianita Nur; Alifia Ainun Rizky; Eureka Try Zarazwanty R. Laega
Gema Kampus IISIP YAPIS Biak Vol 21 No 1 (2026): "Gema Kampus" IISIP YAPIS Biak
Publisher : IISIP YAPIS BIak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52049/gemakampus.v21i1.566

Abstract

The use of artificial intelligence (AI) in public services has become a strategic innovation in advancing an efficient and responsive digital government. One increasingly prevalent AI implementation is the use of chatbots as virtual assistants to provide public information services. This study aims to analyze the use of the “JESSICA” chatbot in the Jogja Smart Service (JSS) application in Yogyakarta City to improve the efficiency and responsiveness of public services, and to identify challenges and potential developments. The Research method is a literature review that examines scientific articles, previous Research results, and documentation related to chatbot implementation in the public sector. The results show that chatbots play an important role in improving service efficiency by automating information delivery, reducing officials’ workload, and optimizing organizational resources. In terms of responsiveness, chatbots can provide services quickly, consistently, and in real time, thereby improving the quality of interactions between the government and the public. However, the JESSICA chatbot still faces several limitations, including limited coverage across the JSS application and website, reliance on database quality, and the need for continuous content and system updates. Furthermore, institutional readiness and human resource capacity are also crucial factors in determining the success of chatbot implementation. Therefore, future development of the JESSICA chatbot should focus on strengthening technical aspects, expanding service channels, and improving internal governance and policies. This Research is expected to provide conceptual and practical contributions to the development of a more efficient, responsive, inclusive, and sustainable digital public service model at the regional level.