International Journal of Science, Technology & Management (IJSTM)
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Pull Factors for Event Delegates Moderating Effect Of Cultural Tourism Attraction
No full textThis study seeks to explore the pull factors that influence delegates' decision to attend an event. This research also involves the factor of cultural tourism attraction as a moderating variable. It is well known that Yogyakarta as the research location is a city rich in culture, there are many cultural attractions that are favored such as heritage sites, indigenous people's lives, handicraft products, traditional culinary, and a number of other local cultural products. By using Structural Equation Model analysis and involving 190 respondents, namely delegates who attended various events in Yogyakarta, from the results of the study it was found that the pull factors namely accessibility, event organizer (OC), accommodation, venue, price and cultural tourism attraction jointly influenced the decision of delegates to attend the event. Cultural tourism attraction is able to moderate the overall pull factor. The strength of culture that is able to moderate the overall attraction factor indicates that culture is very strong as a novelty event and is a key variable for destinations so that it is attractive to host events
Exploring the Influence of Social Media Marketing on Brand Trust, Brand Image, and Brand Loyalty for Fore Coffee
No full textIndonesia's utilization of digital services such as mobile payments, paid digital content, online transportation, and food delivery has been amplified due to the rise in internet and smartphone usage. The digitalization of the food and beverage (F&B) industry has experienced significant growth since 2015, particularly accelerated by the COVID-19 pandemic. According to McKinsey's research conducted in 2020, there was a significant 34% surge in the number of individuals using food delivery services during the pandemic. Fore Coffee, a coffee startup established in 2018, employs digital marketing strategies to enhance sales and promote brand recognition. Fore Coffee has successfully pleased customers using social media and mobile applications. This study utilizes the concept of brand trust to investigate the impact of social media marketing on brand image and customer loyalty. Research utilizes PLS-SEM. A digital survey was distributed to a total of 301 individuals who are customers of Fore Coffee within the previous six-month period. Studies indicate that social media marketing has a positive and significant influence on brand trust, leading to a positive impact on brand image and customer loyalty. A well-executed digital marketing strategy has the potential to enhance brand trust, image, and loyalty
Keywords: Brand Image; Brand Loyalty; Brand Trust; Social Media Marketin
Fostering Excellence in Madrasah through Collaborative Supervision: A Management Perspective
No full textThis research is motivated by the lack of collaborative guidance among some members of the madrasah and the supervisor, which hinders the improvement of the quality of a madrasah institution. Therefore, it is necessary to establish collaboration or synergy among the head of the madrasah, the madrasah committee, several teachers, and the supervisor in advancing the quality of the madrasah. This research employs a qualitative approach with a multi-site study design. Data collection techniques include in-depth interviews, participant observation, and documentation. Data analysis uses single-case analysis and cross-case analysis. Data validity techniques involve credibility, transferability, dependability, and confirmability.The research findings indicate that: (1) the collaboration between supervisors and heads of madrasahs in formulating plans (planning) to improve the quality of the institution includes: a) formulating and developing the vision, mission, and goals of the madrasah; b) preparing the Mid-Term Work Plan (RKJM), the Madrasah Work and Budget Plan (RKAM), and the Annual Work Plan (RKT); c) conducting workshops and training for teachers and institutional staff; d) developing madrasah management systems and information technology and PBM (Self-Learning Platform); and e) preparing KTSP/Merdeka curriculum; (2) the collaboration between supervisors and heads of madrasahs in implementing the process (actuating) to improve the quality of the institution involves: a) organizing guidance, workshops, and training for madrasah teachers; b) providing support and guidance for all programs within the institution; c) developing a madrasah curriculum tailored to the institution's situation and conditions; d) producing works/products or learning journals, and developing an excellent KTSP madrasah curriculum
Comparison Of Support Vector Machine And Naïve Bayes Algorithms For Analyzing Public Interest In Espresso Coffee
No full textGiven its increasing popularity, public interest in buying espresso coffee is an important concern for coffee industry players. To understand and predict this buying interest, the use of classification algorithms in data analysis is crucial. This study was conducted to compare the performance of two popular classification algorithms, namely Support Vector Machine and Naïve Bayes, in analyzing public interest in buying espresso coffee. This research problem is based on the need for an accurate predictive model in the coffee industry to aid in strategic decision-making related to marketing and sales. The proposed solution is to implement two different classification algorithms and assess their performance using a variety of performance evaluation metrics. The purpose of this study is to determine which algorithm is superior in terms of accuracy, precision, recall, and f1-score. The research method entails collecting data on public interest in purchasing espresso coffee, preprocessing data, implementing both algorithms, and evaluating each algorithm's performance. The results show that Naïve Bayes consistently outperforms Support Vector Machine in all performance evaluation metrics. Naïve Bayes achieved 94.00% accuracy, 91.40% precision, 100% recall, and 95.51% F1-Score, compared to Support Vector Machine, which achieved 90.00% accuracy, 88.60% precision, 96.90% recall, and 92.56% F1-Score. The conclusion of this study is that the Naïve Bayes classifier is more effective and efficient in predicting people's purchasing interest in espresso coffee compared to support vector machines. This advantage can be attributed to the ability of Naïve Bayes to handle data that may have non-normal distributions or independent variables
Assessment Of Complex Ii Fuel Oil Heat Exchanger Utilizing Heat Transfer Methodology
No full textThe heating stage of oil and gas refining commences with a heat exchanger. Using the pressure drop method and dirt factor in conjunction with the utmost standard permissible limit is one method of evaluating the thermal efficiency of a heat exchanger. This is performed to ascertain the value of the pressure drop, or pressure drop, which is directed at the fluid passage in the shell and pipeline. Moreover, a dust factor value is necessary to account for the potential accumulation of impurities and scale on the walls outside the heat exchanger conduit. The dust factor value is the maximum value that the parameter permits to ascertain the feasibility of the heat exchanger. Heat Exchanger 011-E-112 in the Fuel Oil Complex Unit The results indicate that heat exchanger 11E-112 can still be utilized despite the necessity for design enhancements. The design data for the shell is 1.7 psi, and the tube is approximately 18.92 psi. The Dirt Factor values for the shell and tube are 0.017 BTU/hour ft2°F and 0.034 BTU/hour ft2°F, respectively. The tube pressure drop value is 130.32 psi, while the shell pressure drop value is 2.53 psi
Developing of a Multi-Project Planning and Control System for Risk-Based Precast Concrete Procurement to Increase PT. XY’s Competitiveness
No full textMulti-project planning and control must be part of the precast concrete industry to achieve more efficient project performance and impact obtaining better contract values. It requires a clear and detailed understanding of the project's scope and the risks in project planning. This research aims to analyze the risk factors that influence ongoing multi-project procurement and carry out risk-based development to increase the Competitiveness of PT XY. This research uses a methodology to study related literature, previous research, and PT Company Operational Standards. XY. The results of this study indicate that 7 out of 37 variables have high-risk values, while the remaining 30 are classified as having moderate Risk. The Risk of wage and material price increases represents the highest Risk in developing a multi-project planning and control system for precast concrete procurement to enhance the Competitiveness of PT. XY
Determinants Of Stock Liquidity During COVID-19: Evidence From Indonesian Listed Firms
No full textThe COVID-19 pandemic has heightened awareness among Indonesian citizens regarding the significance of investing. The increased market capitalization of the IHSG has contributed to enhanced stock liquidity during this period. Prospective investors assess both internal and external factors of companies to make informed investment decisions, aligning their capital allocation with the perceived potential of the target firms. The objective of this research is to empirically analyze the determinants of stock liquidity, including firm size, profitability, leverage, firm growth, inflation, and dividend policy, focusing on non-financial companies listed in Indonesia during the COVID-19 period. The empirical results indicate a negative and significant relationship between stock liquidity and company size, profitability, leverage, growth, inflation, and dividend policy among non-financial firms listed on the IDX30 for the period February to July 2023
Influences The Sustainability Of Business Continuity Through Mass Customization On Embroidery Smes In West Bandung Regency
No full textAt this time, MSMEs are an important part of the economy in Indonesia, one of them is in the West Java region. It was recorded that in 2021 the number of MSMEs in West Java was 6,257,390 and West Bandung Regency was the area that experienced a significant increase. The categories of the business are accessories, batik, embroidery, craft, fashion, services/others, convection, culinary, food and drink. However, the covid-19 pandemic has caused business actors, especially the embroidery sector that must be work harder in order to survive in the pandemic era. The lack of entrepreneurial innovativeness in business success is can influence a decrease in sales and the success of a business can be seen from business actors who making mass adjustments in terms of production (mass customization). Therefore, business actors are required to be able to maintain their business. On this research using a descriptive and associative methods. Descriptive research explains that characteristic or gap can be used as a basic to solving business problem. On this research, descriptive research explains characteristic and variable function like entrepreneurial innovativeness, mass customization, and business contuinity. The location of this research is in West Bandung Regency, and the research subject were 70 embroidery business actors in West Bandung Regency. Data collection techniques is using library research, then continued with distributing questionnaires and interview. Data analysis techniques is using path diagrams assisted by SEM-PLS software. The result on this research show that entrepreneurial innovativeness mediated by mass customization has an effect on business continuity
Post-COVID-19 Era: Navigating Challenges in Online Thesis Guidance for Academic Enrichment
No full textThe integration of information technology (IT) in higher education has significantly enhanced academic performance, with a focus on information systems, electronic thesis management, and legal responsibilities outlined in Higher Education Law No. 12 of 2012. This study explores the challenges and opportunities arising from the transition to online thesis guidance, prompted by the post-COVID-19 era, within the Information Systems Program at Multimedia Nusantara University. Utilizing a qualitative case study approach and thematic analysis, the research uncovers challenges in clarity of instructions, guidance note management, and dynamics of relationships with academic mentors, examiners, and the thesis defense committee. As students navigate the intricate landscape of online thesis guidance, the study emphasizes the importance of transparent communication and adaptability. In conclusion, while IT integration enriches academic quality, challenges identified in online thesis guidance serve as guideposts for institutions to refine strategies and enhance communication. This research provides valuable insights for educational institutions, ensuring a seamless and enriching academic experience for students in the evolving landscape of higher education, particularly in the context of online thesis guidance
Determination of Content Marketing and Store Atmosphere on Café Consumer Responses
No full textThe development of the culinary business is increasingly rapid, marked by the emergence of many cafes which are increasingly common in Indonesia. Many cafes run culinary businesses that take advantage of practicality in consuming food and drinks. This research aims to determine consumer responses and the influence of content marketing and store atmosphere factors on consumer responses to café visitors simultaneously or partially. The population and sample are 120 consumers taken by nonprobability sampling technique. The analytical method used in this research is descriptive and verification. The instrument test was carried out with validity and reliability. Research data analysis includes multiple linear regression analysis, multiple correlation analysis, and hypothesis testing. The research results show that content marketing and store atmosphere are considered good. Simultaneously and partially, content marketing and store atmosphere factors have a positive and significant effect on consumer responses