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All Journal Jurnal Mantik ProBisnis : Jurnal Manajemen Jurnal Minfo Polgan (JMP)
Yasik, Yudi Limbar
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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The Role of Internal Marketing Strategy on the Quality of Frontline Employee Services in Private Higher Education Sukmono, Machdi; Yasik, Yudi Limbar; Wahyudianty, Melsa Ulfie; Indrayani, Rina
ProBisnis : Jurnal Manajemen Vol. 16 No. 4 (2025): August: Management Science
Publisher : Lembaga Riset, Publikasi dan Konsultasi JONHARIONO

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

Abstract

This research examines the influence of internal marketing strategies on the service quality of frontliner employees in private higher education institutions (PHEIs). With increasing competition among PHEIs, the ability of administrative staff to deliver excellent service has become essential in shaping institutional image and student satisfaction. Using a quantitative explanatory research approach, data were collected from 85 frontliner staff at five PHEIs in Bandung through questionnaires. The internal marketing variable was measured using nine indicators including training, rewards, leadership, and work atmosphere, while service quality was assessed through the SERVQUAL model. The results of multiple linear regression analysis indicate that internal marketing has a significant positive effect on service quality (β = 0.634, p < 0.05), with an R² value of 0.493. Among internal marketing dimensions, training and rewards were found to be the most influential in improving responsiveness and assurance. This study suggests that strategic internal marketing practices are critical in enhancing staff motivation, satisfaction, and ultimately, service excellence in higher education.
The influence of digital marketing interaction on generation z consumer loyalty on local beauty products Yasik, Yudi Limbar; Mutoffar, Muhamad Malik; Ridwan, Ridwan; Ginting, Jasa
Jurnal Mantik Vol. 9 No. 2 (2025): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i6.6571

Abstract

This study tried to look into how digital marketing interactions affect things on Generation Z consumer loyalty towards local beauty products in Indonesia. Regarding the digital transformation, Generation Z exhibits a strong tendency to engage actively in interactive communication with brands. This research adopted a quantitative explanatory approach using a survey methodology. Data were collected from 120 respondents aged 18–27 years who had used local beauty products within the last six months and were digitally active. The research instrument consisted of closed-ended questionnaires measured on a five-point Likert scale. Validity and reliability tests confirmed that the instrument met the required statistical standards. Tests of classical assumptions, encompassing normality, multicollinearity, and  hetero-scedasticity, also confirmed that the regression model was statistically valid. A simple linear regression analysis revealed that digital marketing interaction significantly and positively influenced consumer loyalty, The regression coefficient is 0. 532, and the significance level is 0. 000. The R Square value is 0. 521, which means that 52. 1% of the variation in consumer loyalty is explained by the model. The findings highlight the strategic importance of enhancing interactive digital marketing to foster emotional bonds and long-term loyalty among Generation Z consumers. This research adds value to existing knowledge by emphasizing interaction quality over mere digital presence
Analysis of the Influence of Machine Learning on Sales Prediction and Stock Management in Online Business Mutoffar, Muhamad; Yasik, Yudi Limbar; Ridwan, Ridwan; Putria, Narti Eka
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14503

Abstract

Online businesses continue to experience rapid development along with digital transformation that drives efficiency and competitiveness. However, one of the main challenges faced is the uncertainty in predicting sales, which can cause an imbalance between demand and stock. The inaccuracy of this prediction often results in overstock or understock, thus increasing operational costs and decreasing customer satisfaction levels. This study aims to analyze the effect of implementing Machine Learning (ML) algorithms on the accuracy of sales predictions and the efficiency of stock management in online businesses. Historical sales data collected from e-commerce platforms were processed using Random Forest and Long Short-Term Memory (LSTM) algorithms. The results showed that the ML algorithm was able to increase the accuracy of sales predictions by up to 20% compared to traditional methods. In addition, the implementation of ML-based predictions allows for more efficient stock management with a decrease in the level of overstock by 15% and a reduction in the risk of understock by up to 25%. These findings not only strengthen the literature related to the role of intelligent technology in digital business management but also offer practical guidance for online business actors to improve their operations through Machine Learning technology. Thus, this study makes an important contribution to digital transformation strategies in a competitive online business ecosystem.
Co-Authors Ginting, Jasa Mutoffar, Muhamad Mutoffar, Muhamad Malik Putria, Narti Eka Ridwan, Ridwan Rina Indrayani Sukmono, Machdi Wahyudianty, Melsa Ulfie