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p-Index From 2021 - 2026
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All Journal International Journal of Education Management and Religion Proceeding of International Conference on Social Science and Humanity
Diah Probowulan
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Earth & Planetary Sciences Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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RELATIONSHIP BETWEEN COMPENSATION, MOTIVATION AND WORK DISCIPLINE TOWARDS EMPLOYEE PERFORMANCE AT RSD DR. SOEBANDI JEMBER DISTRICT Tua S, Marolop Bungaran; Dwi Cahyono; Diah Probowulan
Proceeding of International Conference on Social Science and Humanity Vol. 2 No. 1 (2025): Proceeding of International Conference on Social Science and Humanity
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/icossh.v2i1.201

Abstract

Objective: This research was conducted at dr Soebandi Regional Hospital. This study consists of two variables, namely the independent variable (free), which consists of compensation (X1), work discipline (X2), and work motivation (X3), while the dependent variable (bound) is Employee Performance (y). This study aims to determine whether there is a significant influence between compensation, work discipline, and work motivation on employee performance with a sample of 162 respondents. Method: The data collection methods used in this study include interviews, observations, questionnaires, and literature studies. The data analysis technique in this study employs multiple linear analysis with data processing using Statistical Product and Service Solutions (SPSS) software 20. The data analysis methods include validity test, reliability test, multicollinearity test, heteroscedasticity test, partial t-test, F-test (simultaneous test), and coefficient of determination (R2). Results: The results of this study indicate that the variables of compensation, work discipline, and work motivation have a simultaneous influence on employee performance. Partially, the compensation and work motivation variables show an influence. Based on the results of the analysis of the coefficient of determination, the R-square value is 0.810 or 81%. Novelty: This study provides empirical evidence of the influence of compensation and work motivation on employee performance in a hospital setting, emphasizing the importance of these factors in workforce management.
The Role of Artificial Intelligence in Improving the Performance of Green Marketing for SMEs Fills Prayoga; Diah Probowulan; Haris Hermawan
International Journal of Education Management and Religion Vol. 3 No. 2 (2026): July 2026
Publisher : Pondok pesantren As-salafiyah As-Safi'iyyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71305/ijemr.v3i2.1169

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in the evolution of digital marketing, particularly for small and medium-sized enterprises (SMEs) striving to integrate sustainability into their competitive strategies. This study analyses the contribution of AI technologies to enhancing the performance and efficiency of green marketing initiatives within SMEs operating in the digital economy. The research employs a systematic literature review method by synthesizing peer-reviewed publications from 2020 to 2025. The findings demonstrate that AI-driven applications—such as machine learning, predictive analytics, and automated engagement systems—enable SMEs to personalize eco-oriented messages, identify environmentally conscious consumer segments, and measure campaign outcomes with higher precision. Moreover, the adoption of AI supports improvements in resource efficiency, targeting accuracy, and assessment of both social and environmental impacts. The evidence further indicates that SMEs utilizing AI in sustainable marketing experience increased customer loyalty, stronger brand reputation, and greater long-term competitiveness. Despite these benefits, several challenges remain, including limited digital readiness, high implementation costs, and insufficient technological capabilities among SMEs. Overall, integrating AI into green marketing practices presents a promising pathway for SMEs to achieve sustainable growth while meeting the expectations of environmentally aware consumers in the digital era. Future research is encouraged to develop affordable and user-friendly AI tools tailored to the marketing needs of small businesses.
Co-Authors DWI CAHYONO Fills Prayoga Haris Hermawan Tua S, Marolop Bungaran