JBMP (Jurnal Bisnis, Manajemen dan Perbankan) 2023-09-27T13:41:18+00:00 Editor Open Journal Systems <p>This journal&nbsp;<strong>Focus</strong> to facilitate scholar, researchers, and Lecturer for publishing the original research articles or review articles in management Science. Articles to be published on&nbsp;<strong>JBMP</strong>&nbsp;<strong>(Jurnal Bisnis, Manajemen dan Perbankan)</strong>&nbsp;should follow the&nbsp;<strong>focus and scope</strong> of this journal. The article must have been edited according to the journal author guidelines before submitting. JBMP publishes research articles in the field of “Management Science” with the following <strong>scope : </strong>Marketing Management; Finance Management; Human Resources Management.</p> <p>If you have trouble submitting the manuscript. Feel Free to contact&nbsp;<a href=""></a></p> Maximizing Automated Teller Machines (ATM) User Loyalty through Trust and Quality Service 2023-09-27T07:04:49+00:00 Elex Sarmigi Achmad Hizazi Sri Rahayu Enggar Diah Puspa Arum <p>The purpose of this research is to look into the direct and indirect effects of service quality and trust on customer loyalty, as mediated through customer satisfaction. The study is based on a sample of 85 customers who used ATM services at the PT. Bank 9 Jambi, Kerinci Branch. This Study approach is used to calculate sample size, and data is collected utilizing an incidental sampling strategy using a questionnaire. For data analysis, Smart PLS 3.0 software is used to assist path analysis. According to the findings, neither service quality nor trust have a statistically significant influence on customer loyalty, whether directly or indirectly through customer pleasure. Customer pleasure, on the other hand, has a positive and considerable impact on customer loyalty. Furthermore, the study discovers a favorable and significant link between service quality and client trust. These findings provide light on the complex dynamics of service quality, trust, customer satisfaction, and loyalty in the context of ATM usage, providing valuable insights for customer relationship management practitioners and researchers.</p> 2023-09-27T00:00:00+00:00 Copyright (c) 2023 Elex Sarmigi, Achmad Hizazi, Sri Rahayu, Enggar Diah Puspa Arum Harvesting Success: Strategy Development for Kampoeng Anggrek Agro-Tourism 2023-09-27T10:42:18+00:00 Askhaarina Aulia Tsalits Illia seldon Magfiroh <p>The research focuses on Kampoeng Anggrek Agritourism, a growing attraction in Kediri City that is seeing an increase in everyday visits, especially on weekends and holidays. The COVID-19 epidemic prompted a brief shutdown, which resulted in shifts in facility maintenance and employee attention, resulting in some deterioration. This study aims to evaluate Kampoeng Anggrek's present Business Model Canvas (BMC) and make recommendations for future improvements. Probability sample was used with the business model canvas approach, with ten participants from the internal and forty from the external aspects of Agrotourism Kampoeng Anggrek chosen using simple random sample. The research resulted in a comprehensive BMC framework, which provided proprietors with a clear picture of the company as well as the capacity to fine-tune each BMC aspect for operational optimization in agritourism operations. This study provides critical insights for stakeholders navigating the changing landscape of agrotourism firms in the face of dynamic external influences such as the COVID-19 pandemic</p> 2023-09-27T10:31:29+00:00 Copyright (c) 2023 Askhaarina Aulia Tsalits -, Illia seldon Magfiroh Forecasting Employee Potential through Probationary Assessment 2023-09-27T13:41:18+00:00 Asradiani Novia Imam Yuadi <p>Effective corporate governance necessitates the continual nurturing and cultivation of employee potential for long-term professional success. However, assessing an employee's potential and performance objectively and consistently from the start of their career presents a substantial difficulty in reducing any mismatches with the company's goals and expectations. This study introduces a predictive methodology that uses probationary employee performance to map their potential. The study focuses on Performance (Y-axis) and Potential (X-axis) variables using data from 265 employees at Company X who went through a probationary period. Various machine learning models, including Logistic Regression, Naive Bayes, k-NN, SVM, and Decision Tree, were used to analyze data using Orange Data Mining software. The Logistic Regression model has the highest accuracy, at 90% (0.906). Validity testing, using the Confusion Matrix, allowed individuals to be classified into nine potential groups, in accordance with the 9-Box Matrix Talent Management paradigm. This classification provides HR with a strategic tool for tailoring career development strategies based on expected potential within their respective sectors.</p> 2023-09-27T13:41:18+00:00 Copyright (c) 2023 Asradiani Novia, Imam Yuadi