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Exploring factors influencing customer loyalty at Kemuning Polije Resto, Jember District Kurniawati, Dewi; Anggraeni, Oktanita Jaya; Djamali, Raden Abdoel; Retnowati, Naning; Perlambang CNAWP, Rizal
International Journal of Studies in Social Sciences and Humanities (IJOSSH) Vol. 1 No. 3 (2025): March
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijossh.v1i3.5646

Abstract

Customer loyalty is vital for competitiveness in the restaurant industry, especially in local contexts where customer preferences vary. This study investigates the effects of Customer Relationship Management (CRM), service quality, and product quality on customer loyalty at Resto Kemuning Polije, Jember. A quantitative approach was used, collecting survey data from 150 regular customers. Multiple linear regression, along with t-tests and F-tests, assessed the data's validity, reliability, and significance. Results show that CRM, service quality, and product quality positively and significantly influence customer loyalty. Product quality has the strongest impact, followed by service quality and CRM. The model's adjusted R² value of 0.782 indicates that 78.2% of the variation in customer loyalty is explained by these factors. This highlights the importance of maintaining high product standards, delivering excellent service, and employing effective CRM strategies. The study provides insights into the synergy between CRM, service quality, and product quality, offering practical recommendations for restaurant managers. These include prioritising consistent product quality, personalised customer engagement, and staff training. Future research should examine additional factors like pricing and marketing strategies to deepen understanding. This study contributes to the literature on customer loyalty, emphasising the integration of quality and relationship management for sustainable retention.
Effectiveness of the Cobb-Douglas Production Function-Based Input Optimization Model in the Form of a Recommendation System Anggraeni, Oktanita Jaya; Kurniawati, Dewi; Dhamayanthi, Wenny; CNAWP, Rizal Perlambang
International Journal of Studies in Social Sciences and Humanities Vol. 2 No. 3 (2026): March (In Progress)
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijossh.v2i3.6692

Abstract

This study designs and implements an input recommendation system for smallholder coffee agribusiness to close productivity and efficiency gaps. The objective is to assess how decision analysis guides farmers toward input combinations aligned with goals, budget constraints, and field risks. The methodology applies decision analysis: candidate input allocations are formulated; evaluation criteria (yield, total cost, risk exposure, ease of implementation) are specified; criterion weights are elicited through structured judgments; scores are normalized and aggregated; and sensitivity analysis tests robustness to weight and price changes. Results show that the recommendation-based alternative consistently outperforms conventional practice on most criteria, raising productivity while lowering cost per unit of output and reducing risk under volatile weather. Stability of rankings across sensitivity tests indicates durable performance across diverse farmer preferences. The findings highlight the need for targeted technical assistance and financing aligned with recommended inputs to support sustained adoption and scalable replication across regions.