International Journal of Science, Technology & Management (IJSTM)
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Analysis Of Student Satisfaction Level In The Faculty Of Science And Technology Using The Convolution Neural Network Method
The Faculty of Science and Technology at Labuhanbatu University is one of the leading faculties that focuses on the development of science and technology. This faculty offers various study programs designed to prepare students to face the challenges of the digital era and industrial revolution 4.0. This research, using survey and interview methods, aims to collect accurate and objective data regarding student perceptions and experiences in various aspects, such as the quality of educational services, quality of teaching, and available supporting facilities such as extracurricular activities, seminars and research projects, ease of access. information and academic support from optimal staff and teaching staff
Continue Use Intention Analysis Using The Integration of The Unified Theory of Acceptance and Use of Technology (UTAUT) 2 and Delone & Mclean (D&M) Models Modified in The My TelU Mobile Student Account Application
My TelU Mobile is a learning support application released by Telkom University on May 25, 2021. This application can be downloaded on the Play Store and App Store and has become a super app that has quite a high number of downloads. However, its user traffic is not yet stable, as seen in the decreasing usage traffic during the lecture period. The purpose of this study was to determine the factors that influence the acceptance and use of the My TelU Mobile application using an integration of the UTAUT-2 and Delone & McLean models. This study uses a quantitative method with descriptive and causal research types. The sampling technique uses a non-probability sampling technique of the purposive sampling type with a sample size of 400 respondents. The data analysis technique uses descriptive analysis and PLS. The findings of this study are that effort expectancy, information quality, service quality, user satisfaction have a significant effect on continue use intention and system quality, information quality, service quality have a significant effect on user satisfaction. However, performance expectancy, social influence, facilitating condition, habit, hedonic motivation, and system quality do not have a significant effect on continue use intention of My TelU Mobile application
Implementation of K-Nearest Neighbors Algorithm in Analyzing Public Interest in Shoping at Supermarkets
People's shopping patterns and behaviors continue to develop along with technological advances and lifestyle changes, thus requiring retail business actors, especially supermarkets, to better understand their customers' interests and preferences. In this context, accurate analysis of customer shopping interests is very important to improve customer satisfaction and optimize marketing strategies. One solution that can be implemented to analyze people's shopping interests is the application of the K-Nearest Neighbors algorithm, a simple yet effective nearest neighbor-based classification method for recognizing patterns from existing data. This study aims to apply the K-Nearest Neighbors algorithm to classify people's interest in shopping at supermarkets. This study also evaluates the effectiveness and performance of the algorithm in the context of business decision-making in the retail sector. The research methodology includes collecting data on people's shopping interests, data pre-processing, implementing the K-Nearest Neighbors algorithm, and evaluating model performance using evaluation metrics such as accuracy, precision, recall, and F1-score. The results of this study indicate that the K-Nearest Neighbors algorithm is able to achieve an accuracy of 88%, with precision, recall, and F1-score all reaching 92.86%. These results indicate that the K-Nearest Neighbors model is very effective in classifying people's shopping interests, with a low error rate. The resulting confusion matrix also shows the model's ability to identify customers who are interested in shopping with little prediction error. This study concludes that we can rely on the K-Nearest Neighbors algorithm to analyze people's shopping interests in supermarkets. This model not only shows good performance in classification but also has great potential to be implemented in recommendation systems and customer segmentation in the real world. This study contributes to the development of consumer behavior analysis methods in the retail sector, as well as providing a basis for further research to explore other algorithms or combinations of techniques to improve the accuracy and effectiveness of classification models
The Influence of Digital Literacy and Relative Advantage on E-Commerce Adoption through Digital Training and Mentoring among MSMEs in Jakarta
The Micro, Small and Medium Enterprises (MSME) sector has an important role in driving the country's economic development. In order for MSMEs to remain competitive with the growth of digital technology, they must be able to adapt to digitalization. Utilizing an e-commerce platform can provide information about which products are selling best and which products are not selling well. This data can be used to make decisions about inventory management, marketing, and more. Only 13% of MSMEs that utilize technology use e-commerce. The adoption of digital e-commerce technology among MSMEs in Jakarta is still uneven. This research aims to determine the influence of digital literacy and relative benefits on the adoption of digital e-commerce technology for MSMEs in Jakarta with digital training and mentoring as mediating variables. This research method is causal quantitative by collecting data using an online questionnaire to 399 respondents. The analysis technique used in this research is Sem with the help of the Smart-PLS program. The research results show that digital literacy and relative benefits influence digital training and mentoring, but not the adoption of e-commerce platform technology. Meanwhile, digital training and mentoring influences the adoption of e-commerce platform technology. The mediation results show that digital training and mentoring play a full mediating role in the relationship between digital literacy and the relative benefits of adopting e-commerce platform technology
Analysis Of The Influence Of Port Business Management By Pt Pelabuhan Cilegon Mandiri On The Satisfaction And Loyalty Of Vessel Service Users In Banten Port
There are more than 30 port potential industrial ports which are directed to be developed and advanced, so the Banten Provincial government formed a Regional Company or Regional Owned Enterprise (BUMD), namely PD. PCM which is now PT. Cilegon Mandiri Port which has the main task of providing management and services in the field of ship guidance and towing. This research aims to determine and develop the influence of the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the loyalty of ship service users through customer satisfaction at the Port of Banten. The research strategy used in this research is quantitative with an explanatory research approach. The research sample was 108 service users at Banten Port. The analytical tool used by SEMPLS with SmartPLS is to answer the problem formulation. The results of the research show that there is a significant positive influence of the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the satisfaction of ship service users. There is a significant positive influence of the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the loyalty of ship service users. There is a significant positive influence on customer satisfaction. on the loyalty of ship service users, satisfaction of ship service users is able to mediate the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the loyalty of ship service users at Banten Port. It can be concluded that both directly and indirectly, there is an influence of the management of Port Business Entities by PT Pelabuhan Cilegon Mandiri on the loyalty of ship service users through satisfaction at the Port of Banten
Narrowband IoT in Livestock Farming: A Technological Innovation for Productivity and Sustainability
The integration of technology in livestock farming is crucial for enhancing production efficiency and animal welfare. This study aimed to develop and evaluate the implementation of a Narrowband IoT (NB-IoT)-based automated monitoring system in poultry farming. Using an experimental design, the research involved 30,000 day-old chicks at PT. Anugerah Teknologi Ternak in Central Java, Indonesia. The NB-IoT system collected real-time data on environmental parameters and poultry activity. Time-series analysis revealed non-stationary data, while correlation analysis showed a strong negative relationship between temperature and humidity (r = -0.8521). Anomaly detection identified 13.33% of observations as anomalous, demonstrating the system's capability for early issue detection. Regression modeling (R-squared = 0.7261) indicated that temperature and humidity significantly influence poultry productivity. The study concludes that NB-IoT implementation in poultry farming has significant potential for enhancing productivity through real-time monitoring and early anomaly detection, supporting more efficient and sustainable precision farming practices. However, limitations in data stationarity and sample generalizability suggest the need for further research to improve long-term predictions and broaden applicability across diverse farming contexts
The Influence Of Financial Technology, Financial Literacy, And Risk Perception On Mutual Fund Investment Decisions In Generation Z In Jawa Barat: -
Generation Z is a generation that grew up in the digital era, where technology and social media have become an important part of their lives. Based on survey results, most of generation Z have expenses that are greater than their income. This shows that they are less wise in financial management and less able to carry out long-term financial planning. On the other hand, current technological advances present various choices and convenience for making financial investments. There are various types of investment products available for short and long term, which have low risk to high risk. For beginner investors, investing in mutual funds is highly recommended. This is because investing in mutual funds in Indonesia can be started with low fund, diversified funds, managed by professional investment management, thereby providing better return opportunities. This research aims to determine the influence of financial technology, financial literacy, and risk perception on generation Z mutual fund investment decisions in West Java. This research method uses quantitative methods with descriptive and associative approaches. The infinite population in this research is Generation Z in West Java who have invested in mutual funds. Respondents have addresses in various cities in West Java. The sample was determined using simple random sampling with a sample size of 80. The results of this study explain that Financial Technology and Risk Perception do not influence Generation Z's mutual fund investment decisions. On the other hand, financial literacy influences Generation Z's mutual fund investment decisions in West Java
Willingness To Pay And Ability To Pay Child Follow-Up Immunization In Medan City
Immunization must be given to children starting from infancy and is a mandatory program from the government. Immunization can be provided free of charge at community health centers but can also be paid (carried out independently) at other health service facilities such as private clinics. The aim of this research is to determine the factors that influence Willingness To Pay and Ability To Pay at the Medan South Area Health Center and Rumah Zakat Pratama Clinic in Medan City.This type of research is quantitative research with descriptive analytics using cross sectional methods. Research data was obtained using a questionnaire given to 150 respondents from both research sites, namely the health center and clinic. Job criteria are education and knowledge for willingness to pay, while number of family members, accessibility, income and expenses are associated with ability to pay. Data analysis to see the relationship used the chisquare test (?=0.05).The results of the research show that there is a relationship between education, work and knowledge among respondents at community health centers and clinics with willingness to pay (WTP) with p<0.05 and there is a significant relationship between respondents at both community health centers and clinics where accessibility criteria are met. ability to pay (ATP) with a p value <0.05
The Effect Of Corporate Social Responsibility (CSR), Growth Opportunity, And Company Characteristics On Earning Response Coefficient (Case Study On The Conventional Banking Sector Listed On The Indonesia Stock Exchange-IDX 2018-2022)
Earnings Response Coefficient (ERC) is one of the measures used to measure earnings quality. Earnings Response Coefficient (ERC) is a valuation model that can be used to indicate the possibility of rising and falling stock prices for market reactions to earnings information announced by the company. By knowing the factors that affect the Earnings Response Coefficient (ERC), information can be obtained about how strong the market reaction is to the earnings information presented by the company. This study aims to examine and analyze the effect of Corporate Social Resposibilty, growth opportunity and company characteristics on earning response coefficient in conventional banking sector listed on the Indonesia Stock Exchange (IDX) for the 2018-2022 period. This research belongs to quantitative research. The sampling technique used purposive sampling technique, 43 conventional bank used as a population with 11 conventional bank companies is used as a research sample. The analysis method of this research used panel data regression analysis. The results showed that: (1) CSR has positive effect to earning response coefficient (2) Growth opportunity has effect to earning response coefficien). (3) Managerial ownership has positive effect to earning response coefficien). (4) Institutional ownership has positive effect to earning response coefficient. Simultaneously, CSR, growth opportunity, managerial ownership and institutional ownership has significant effect to earning response coefficient. The implication of the research results is that investors need to pay attention to corporate social responsibility, growth opportunities and company characteristics which are proven to be able to be used to determine the ups and downs of share price based on market reactions to company profit information
Public Value Creation Through Electronic Human Resource Management in Public Sector: A Mixed Methods Approach
This study sought to evaluate the link between public value creation and e-HRM. The study draws upon public value theory to explore the role of e-HRM in value creation of public organizations. The study was conducted in Kenya in the County Government of Nyeri. A mixed methods approach was adopted, which combines quantitative surveys with qualitative interviews. The quantitative research approach involved a cross-sectional survey design. The survey respondents were 209 employees of Nyeri County Government. Data was analyzed by means of structural equation modelling (SEM). Qualitative approach involved conducting interviews. Thematization was used to analyze qualitative data. The study results show a significant relationship between quality public services, achievable desirable outcomes and development of trust and public value creation. In line with study findings, the study recommends that public sector organizations should optimize the use of e-HRM in their operations to create public value. This study is noteworthy for being one of the pioneering works to explore public value creation through e-HRM using a mixed-methodology approach