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IMPLEMENTATION OF CUSTOMER RELATIONSHIP MANAGEMENT (CRM) ON PATIENT LOYALTY MEDIATED BY CUSTOMER BONDING AT PUSKESMAS JELBUK JEMBER Anggraeni, Reni Septa; Haris Hermawan; Mohammad Thamrin
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.v2i1.207

Abstract

Objective: The community members who use healthcare services at the puskesmas are expected to show commitment to the services provided by the puskesmas. This commitment is one form of patient loyalty. Patient loyalty is crucial because the puskesmas is a primary healthcare facility responsible for providing basic services to both patients enrolled in the BPJS Health program and the general public. Novelty research is the development of a research model that uses customer bonding variables as an intervening variable which has not been developed by previous researchers. Method: The study population consisted of BPJS patients who visited Puskesmas Jelbuk during 2024. Sampling was done using the saturated sampling method with 100 respondents. Data analysis techniques using SEM PLS. Results: The results showed: (1) CRM had a positive and significant influence on patient loyalty. (2) Customer bonding had a positive and significant influence on patient loyalty. (6) The indirect effect test showed a positive and significant influence of CRM on patient loyalty through customer bonding.
RAW MATERIAL INVENTORY CONTROL ANALYSIS IN THE RUBBER PRODUCTION PROCESS AT PTPN XII PERSERO KEBUN KOTTA BLATER Varuq, Nauval Ilham; Haris Hermawan; Ahmad Izzuddin
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.v2i1.208

Abstract

Objective: This study aims to evaluate the raw material control system in the rubber production process at PTPN XII Persero Kebun Kotta Blater using the Economic Order Quantity (EOQ) method. Method: Employing a quantitative descriptive analysis approach, the EOQ model was applied to analyze inventory management practices related to rubber latex processing into RSS sheets. Results: The 2023 inventory data revealed that the company’s actual inventory issuance exceeded the optimal EOQ value of IDR 2,883.19, indicating inefficiencies in raw material control. Implementing the EOQ model demonstrated potential cost savings amounting to IDR 885,133,971,190,639 by optimizing order quantities and reducing excess inventory. Novelty: This research highlights the significant financial benefits of applying EOQ in rubber agribusiness, specifically within PTPN XII Kebun Kotta Blater, by providing an empirical assessment of inventory management optimization in the agricultural processing sector. The findings contribute to enhancing operational efficiency and sustainable resource utilization in natural rubber production.
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.
The Influence Of Business Competence, Creativity, And Innovation On The Success Of The Bead Craft Industry In Tutul Village, Balung District, Jember Regency Siska Ayu Nur Azizah; Haris Hermawan; Wahyu Eko Setianingsih
International Journal of Education Management and Religion Vol. 3 No. 1 (2026): January 2026
Publisher : Pondok pesantren As-salafiyah As-Safi'iyyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71305/ijemr.v3i1.1180

Abstract

Business is one of the important sectors in driving economic growth in communities, especially in rural areas. In this context, business development is not only determined by external factors, but also by internal factors such as business competence, creativity, and innovation possessed by business actors. This study aims to determine and analyze the influence of business competence, creativity, and innovation on the success of the bead craft industry in Tutul Village, Balung District, Jember Regency. This type of research uses a quantitative method with a sample of 57 respondents. The sampling technique uses a saturated sampling method because the entire population is sampled. The main instrument in data collection is a questionnaire. Data analysis techniques used include validity tests, reliability tests, classical assumption tests, multiple linear regression, hypothesis tests (t-test and F-test), and the coefficient of determination (R²). The results of the analysis indicate that business competence, creativity, and innovation have a significant influence on the success of the bead craft industry in Tutul Village. The results of the coefficient of determination (R²) test indicate that these three variables contribute 76.8% to business success.