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The Influence of Incentives and Work Discipline on Employee Performance (Study on Pharmaceutical Companies) Umban Adi Jaya; Indarta Priyana; Intan Rikhe; Rizki Chrisulianti; Herni Herdiani
JOURNAL OF MANAGEMENT, ACCOUNTING, GENERAL FINANCE AND INTERNATIONAL ECONOMIC ISSUES Vol. 4 No. 3 (2025): JUNE
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/marginal.v4i3.1719

Abstract

Indonesia’s pharmaceutical industry grows 7-10% yearly with a market over IDR 100 trillion. However, companies like PT Bina San Prima struggle to improve employee performance, unsure which incentives and discipline policies work best to boost productivity and stay competitive. The main objective of this research is to investigate how incentives and adherence to rules impact the performance of employees at PT Bina San Prima, which is a pharmaceutical company located in Sukabumi. To achieve this, a quantitative method was employed, involving the use of multiple linear regression analysis to assess the connection between different factors. The study included all staff members of PT Bina San Prima, with a total of 51 participants chosen through a method of probability sampling. Information was gathered via surveys using a scale of measurement, with tests conducted to confirm the accuracy and consistency of the data-collecting tools. The examination findings reveal that both rewards (X1) and adherence to rules (X2) positively and notably impact employee productivity (Y), with adherence to rules having a more pronounced effect. An 82% coefficient of determination (R²) signals that the combined variables of rewards and adherence to rules can account for the majority of fluctuations in employee productivity, although 18% can be attributed to other factors. This research proposes enhancing discipline schemes and enhancing rewards to enhance employee productivity. Weaknesses of this research include the concentration on a restricted number of variables and the utilisation of a quantitative method that disregards the qualitative aspect.
Integrating AI and Digital Marketing to Increase Generation Z's Purchasing Interest Umban Adi Jaya; Hasti Pramesti; Fauzan Manafi Albar; La Ode Mbunai; Ade Nurhayati Kusumadewi
JOURNAL OF MANAGEMENT, ACCOUNTING, GENERAL FINANCE AND INTERNATIONAL ECONOMIC ISSUES Vol. 5 No. 1 (2025): DECEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/marginal.v5i1.1954

Abstract

AI and digital marketing are essential components in modern marketing strategies that can enhance efficiency and personalize consumer experiences. AI is used for data analysis, content personalization, chatbots, and market trend prediction, while digital marketing involves marketing through digital platforms such as social media, email, and search engines. This study examines the influence of Artificial Intelligence (AI) and digital marketing on consumer purchase intention, particularly among Generation Z in Sukabumi City. The study utilized an associative methodology combined with a quantitative strategy, gathering information through online surveys from a sample of 100 participants. The data was then analyzed using SEM with PLS. The findings of the research indicate that AI and digital marketing play a crucial role in shaping consumer intentions to make purchases. AI enhances ad relevance and consumer satisfaction, while digital marketing enables companies to reach a wider and more diverse audience. The integration of AI in digital marketing has proven to increase personalization, sales conversion, and customer loyalty. The R-Square value for the consumer purchase intention construct is 0.821, indicating that the model used has good capability in explaining variations in consumer purchase intention. These findings confirm the importance of implementing AI and digital marketing in marketing strategies to increase consumer purchase intention and achieve optimal results.
AI Adoption, Work Pressure, and Psychological Resilience: Effects on Job Satisfaction and Employee Performance Umban Adi Jaya; Indarta Priyana; Hasti Pramesti Kusnara; Bambang Somantri; Zeffanya Raphael Wijaya
Jurnal Ilmiah Manajemen Kesatuan Vol. 14 No. 1 (2026): JIMKES Edisi January 2026
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v14i1.4482

Abstract

Digital transformation has encouraged organizations to adopt Artificial Intelligence (AI), which has important implications for employees’ working conditions and performance. This study aims to analyze the effects of AI adoption, work pressure, and psychological resilience on job satisfaction and its implications for employee performance in Bekasi, Indonesia. The study uses a quantitative approach with Structural Equation Modeling (SEM). Data were collected from 200 employees who are involved in AI-based organizational systems. The results show that AI adoption has a positive and significant effect on job satisfaction (β = 0.134; t = 1.856) and employee performance mediated through increased task efficiency and more accurate decision-making. In contrast, work pressure has a positive and significant effect on job satisfaction (β = 0.372; t = 4.614), indicating that excessive job demands can reduce job satisfaction and performance. Psychological resilience emerges as an important factor in maintaining emotional stability and employees’ ability to adapt to stress, which positively affects job satisfaction. Furthermore, job satisfaction has a direct effect on employee performance, showing that more satisfied employees tend to perform better. This study concludes that successful AI integration requires a balance between technological innovation and employee well-being, supported by resilient development programs and supportive organizational policies.
Community Service Collaboration of Higher Education Institutions: Integrating Technology in Promoting Baduy Luar Ecotourism as an Effort for Local Potential-Based Development Umban Adi Jaya; Hasti Pramesti; Amna Mawardi; Galih Raspati; Farhan Hamdallah
JOURNAL OF SUSTAINABLE COMMUNITY SERVICE Vol. 5 No. 4 (2025): SEPTEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jscs.v5i4.1054

Abstract

The Baduy Luar community in Lebak Regency, Banten, possesses unique cultural assets and significant potential in handicrafts, agriculture, and culture-based ecotourism. This Community Service Program (PKM) was conducted in Baduy Luar, Lebak Regency, Banten, with the aim of enhancing digital literacy and entrepreneurial capacity among the local community to support the promotion of cultural-based ecotourism. The Baduy Luar community possesses great potential in handicrafts, agriculture, and tourism, yet still faces limitations in digital promotion and tourism management. This program applied a participatory and contextual approach involving 70 participants, including youth, MSME actors, and ecotourism practitioners. The experiential learning method enabled participants to learn through direct practice, covering smartphone use, tourism documentation, and promotion via social media platforms such as Instagram, TikTok, YouTube, WhatsApp Business, and Facebook. The results showed significant improvement in the community’s skills in utilizing digital technology for ecotourism promotion and cultural documentation. Furthermore, a positive synergy was established between universities and the local community, where academics acted as facilitators of digital knowledge while the community members served as the main actors in implementing digital-based promotion. This program contributed not only to enhancing technical skills but also to preserving cultural identity through digital documentation. In the long term, the program is expected to increase community income, sustain community-based tourism promotion, and strengthen local economic independence aligned with the cultural values of the Baduy Luar.