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PENINGKATAN LITERASI KEUANGAN DOSEN MELALUI PELATIHAN ANALISIS FUNDAMENTAL SAHAM Eureka Try Zarazwanty R Laega; Leonardo Davidsi Sipayung; Muhammad Novrizal Ramadhan; Andhi Febisatria
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.v4i1.8494

Abstract

This community service program aimed to improve lecturers’ financial literacy through fundamental stock analysis training at Universitas Negeri Makassar. The program was conducted in response to the gap between increasing financial inclusion and adequate levels of financial literacy, including among higher education lecturers. The training applied a participatory approach using a learning by doing method and utilized audited financial statements of publicly listed companies as practical learning materials. Program evaluation was carried out descriptively by comparing pre-test and post-test results and administering a participant satisfaction questionnaire. The results show an increase in the average financial literacy score from 45 in the pre-test to 85 in the post-test, representing a 40-point improvement. In addition, lecturers’ interest in stock market investment reached 68 percent, with an average satisfaction score of 4.7 on a five-point Likert scale. These findings indicate that practice-based training is effective in enhancing lecturers’ financial literacy.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.