bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of Influential Factors of Housing Price
Authors: Zhou Shengjie
Published: August 2024

The fluctuation of housing prices and its influencing factors are important research topics in economics. Under the current background of rapid globalization and urbanization, understanding the driving factors of housing prices is not only an important contribution to academic research but also has important guiding significance for policymakers and individual home buyers. This paper explores the key factors affecting housing prices, focusing on the impact of variables such as living space, land space, housing landscape, housing conditions, housing quality, and housing construction year on housing prices. This study uses multiple regression analysis to analyze the US housing price data set. The results show that living space, housing landscape, housing quality, and housing construction year have statistically significant effects on housing prices at a significance level of 1%. This study provides an effective reference to real estate developers, policymakers, and individual home buyers, which can help them understand market demand more deeply, make decisions that are more in line with market trends, and promote the dynamic and functional development of the real estate market.
Predicting Edwards Lifesciences Stock Prices Using Machine Learning Model
Authors: Huang Zechen
Published: August 2024

Predicting stock prices in the stock market is difficult work because the price can fluctuate up and down throughout the trading day, influenced by so many factors. However, the researchers can also use some advanced algorithms to capture the trajectory of the stock market as much as possible. This paper chooses the adjusted closing price as the stock price and aims to predict it for the next trading day based on opening prices, highest prices, lowest prices, volume, and date. Exploratory data analysis is conducted to explore hidden relationships in our stock data. Then, four machine-based learning models: linear regression, K-nearest, support vector machine, and random forest are applied to make predictions for our outcome: adjusted closing price. By comparing the root mean squared error, the model with the best performance is selected and treated as one of the candidates for future stock price prediction. Although these models are relatively fundamental and may not fully capture the complexities of stock prices, they provide a solid foundation for future work.
Predictive Analytics in Consumer Behavior Forecasting: A Literature Review
Authors: Wang Ruoxi
Published: August 2024

This paper introduces non-experts to the process of using predictive analytics models to solve real-world classification and prediction problems. There are two types of models: decision trees and regression models. This article summarizes the previous understanding and application of predictive models and consumer behavior, and also introduces the better use of predictive analysis models, including the accuracy and efficiency of each model. Predictive analytics models are widely used in our lives. Anyone interested in either business or medical science can learn this technology to better explore different fields. The results of this paper suggest that people can further innovate such models, so as to make the use of methods simpler and more efficient.
Review on the Use of Data Analysis for Customer Segmentation and Personalization in Marketing Strategies
Authors: Xiao Mengzhen , Xu Yongchao , Gao Zekai
Published: August 2024

This paper studies the application of data analysis in the field of customer segmentation and personalization. With the advent of the era of big data, enterprises and organizations have rich data resources that contain important information about customer behavior, preferences, and purchasing habits. Through data analytics, companies can better understand customer needs and provide personalized products and services, thereby improving customer satisfaction and loyalty. This study aims to explore the application of data analytics in the field of customer segmentation and personalization, and provides some common data analysis methods. Data analysis methods include probabilistic methods and Bayesian methods, among others. Through case studies, the application of data analysis in the field of e-commerce is explained. The research results show that data analytics has important value and potential applications in customer segmentation and personalized marketing. However, data analysis still faces some challenges and limitations in practice, including data security and quality issues. Future research can continue to explore methods and techniques for data analysis, solve problems such as data privacy and security, and apply data analysis in more fields.
The Economic Growth and the Elderly
Authors: Sun Baiyu
Published: August 2024

This study explored those relationship between the mean population, unemployment rate, population growth rate, Gross Domestic product(GDP) per head and the ratio of elderly population within 6 countries from 2010 to 2015, highlighting the vital role of older workers (as measured by labor force participation of older people) in the national economy. A statistic table below illustrates the relationship between those factors and the degree of the influence with the topic. The result shows that the positive association between GDP per head and the elderly, same with the strong relationship with in the population and the elderly. Elderly population has a positive association with unemployment rate as well, but inversely proportional to the population growth rate. This indicates that the marginal impact of elderly population aging on economic growth depends on the size of population. Within different countries, the indicators are different as well. The range of countries are involved in both developed economies and developing economies, considering the population size and the economic situation, taking those representative sample to investigate the economic growth and the elderly population.
Using Marketing Mix Theory to Analyze the Successful Reasons on Heytea s Co-branding Strategy
Authors: Chen Luyu
Published: August 2024

Since May 2023, when Heytea established a co-branding alliance with Fendi, its sales and popularity have significantly increased. Several retailers faced a shortage of the product within the first week following its launch. This study sought to examine the elements that have contributed to the successful cross-border co-branding cooperation between Heytea and Fendi. This study employs the marketing mix theory of the 4Vs to analyze the situation of Heytea from three angles: value strategy, variation strategy, and vibration strategy. Heytea had success by using three crucial factors: augmenting the perceived worth of their product, providing a wide array of products to cater to a broader consumer demographic, and producing enthusiasm to captivate public attention. Similarly, the three suggestions are to improve the caliber of products, provide customized service, and engage influencers. This study offers an extensive investigation into cross-border co-branding in China, with significant implications for other companies and industries.
Empirical Analysis of Portfolio Allocation During Market Turbulence Based on Efficient Frontier
Authors: Lyu Yunqiang
Published: August 2024

The global financial markets have experienced considerable turmoil due to the COVID-19 pandemic, in this context, portfolio management becomes critically important. This paper employs Monte Carlo Simulation to determine Efficient Frontier of a portfolio comprising fourteen US technology stocks in the period of COVID-19 pandemic by python, which also allocates portfolios for Minimum Volatility and Maximum Sharpe Ratio, along with their key parameters. According to this study, Maximum Sharpe Ratio portfolio outperforms Minimum Volatility portfolio in terms of cumulative return. However, its important to note that Maximum Sharpe Ratio portfolio also experiences a greater maximum drawdown. Additionally, this paper visually depicts the optimal allocation of asset weights across different levels of risk aversion using a chart. Furthermore, it identifies NVDA as the optimal choice for investors who have low degree of risk-aversion due to its high volatility and expected return. Conversely, IBM and CSCO emerge as the preferred choices for risk-averse investors, as they effectively mitigate the portfolios entire risk.
Capital Structure and Risk Profile Comparison of Pharma Leaders
Authors: Miao Yishun , Zhong Wen
Published: August 2024

The pharmaceutical industry is in the spotlight nowadays. The financial situation of the pharmaceutical industry has experienced a lot of ups and downs due to the COVID-19. Therefore, analyzing the financial data of the pharmaceutical industry becomes significant. This report looks at three headline companies in the pharmaceuticals industry, Pfizer, Johnson & Johnson and Amgen. By analyzing and comparing their D/E ratio, weighted average cost of capital (WACC) and business risk, this report explores the reasons for the differences in the data of these three companies, forecasts the growth prospects of them and gives relevant advice to investors. The pharmaceutical industry is in the spotlight nowadays. The financial situation of the pharmaceutical industry has experienced a lot of ups and downs due to the COVID-19. Therefore, analyzing the financial data of the pharmaceutical industry becomes significant. This report looks at three headline companies in the pharmaceuticals industry, Pfizer, Johnson & Johnson and Amgen. By analyzing and comparing their D/E ratio, weighted average cost of capital (WACC) and business risk, this report explores the reasons for the differences in the data of these three companies, forecasts the growth prospects of them and gives relevant advice to investors. A basic result turn out to be that Investors should weigh the financial strategies of these companies against their individual risk tolerance and the dynamic landscape of the pharmaceutical industry before making investment decisions.
A Study of the Determinants of the Successful Mergers and Acquisitions
Authors: Lyu Ruola
Published: August 2024

As studies in recent Merger and acquisition (M&A) research, single determinant is preferred to be analyzed, while this report tend to divide factors into 4 determinants towards successful M&A. This report will analyze the determinants of synergy, valuation, cultural difference and policy with several actual cases to support the objectivity of the analysis. Initially, the effect of 1+1>2 is called synergy which can be split into operating synergy, management synergy and financial synergy that will enhance the coordination internally and attain extra market segments externally. Secondly, as the asymmetry of information, overestimates of valuation may generate unsuccessful M&A, for the goodwill is intangible and easy to be overvalued. Thirdly, the cultural difference in region, belief and corporate experience will impact on the M&A positively or negatively, for the uncertainty of cultural differences will increase the difficulty but also the opportunity in M&A. Lastly, different target company in different regions with different strategies might cause different results. In fact, the 4 determinants have internal relation. The enterprises used to prefer to expand the market or the scale in the industry by vertical M&A and horizonal M&A, but nowadays they tend to make a technical acquisition.
The Influence of ESG Factors on the Firm Performance
Authors: Zhang Ziqi
Published: August 2024

In the face of escalating global environmental crises, governments worldwide are heightening their expectations for corporate social responsibility, urging businesses to adopt eco-friendly production practices. Consequently, the emergent Environmental, Social, and Governance (ESG) rating system has garnered increasing significance within corporate annual reports. This article undertakes a comprehensive review of prior research examining the correlation between ESG performance and corporate performance. Existing studies have consistently demonstrated the substantial positive impact of ESG performance on enterprises, particularly in terms of bolstering risk management practices and meeting investor expectations. However, there is also evidence indicating a nuanced negative effect on small and medium-sized enterprises (SMEs) due to associated costs. Drawing from a synthesis of these previous findings, this paper delves deeper into the intricacies of this relationship, considering additional factors encompassing management strategies, economic dynamics, and beyond. By expanding our understanding of how ESG performance intersects with firm performance, this study seeks to offer valuable insights for businesses navigating the evolving landscape of corporate responsibility and sustainability.
Innovative Digital Marketing Strategies in the Gaming Industry: A Case Study of Love and Deep Space
Authors: Gan Shiyun
Published: August 2024

By analyzing the digital marketing strategies for the game Love and Deep Space by Paper Stacking Company, this study reveals the company's diverse and innovative methods in the global market. Firstly, by highly integrating with local cultures, Paper Stacking Company successfully promoted Love and Deep Space in overseas markets, increasing user numbers and brand recognition. Secondly, the combined online and offline marketing strategies significantly enhanced the games visibility and user engagement. Additionally, the realistic 3D style, personalized character design, and rich interactive gameplay brought unique appeal and user experience to the game. Through cross-border cooperation with the fitness app Keep, the game was linked with a healthy lifestyle, further boosting its brand image and attracting potential users. Overall, these digital marketing strategies successfully promoted Love and Deep Space and helped Paper Stacking Company maintain its competitiveness and brand value in a highly competitive market. In the future, with the continuous development of digital technology, these advantages will continue to bring more market opportunities and success to Love and Deep Space.
Consumer Anxiety in the Digital Age: Analyzing the Impact of Information Overload on Decision-Making
Authors: Wang Muxing
Published: August 2024

In the digital age, information overload is becoming increasingly prevalent, resulting in consumers facing great challenges in the decision-making process. This study aims to analyze the impact of information overload on consumer anxiety and decision-making difficulties. Netflix and Twitter were selected as case studies to demonstrate successful and failed information management strategies. It was found that Netflix effectively reduced information overload and increased user satisfaction and loyalty through its personalized recommendation system. On the other hand, Twitter deteriorated user experience and increased decision fatigue due to its failure to effectively manage information flow. Based on this, this study proposes that marketers adopt personalized content, trust-building, optimized information filtering mechanisms and continuous improvement strategies to address the challenges of information overload. This study concludes that understanding and managing information overload is critical to digital marketing. Organizations can improve marketing strategies by providing more efficient and user-friendly experiences that enhance user engagement and satisfaction.
Optimizing Social Media for Marketing and Customer Relationship Management: A Case Study of Nike
Authors: Chai Gouqiang
Published: August 2024

Social media has become a core tool for brand marketing and customer relationship management in the digital age. It has changed how brands interact with their audience, providing opportunities for direct interaction and real-time feedback. This study explores the specific roles of social media platforms in enhancing brand-customer interaction, content innovation, and data analysis. It analyzes how optimizing social media strategies can increase customer engagement and loyalty. By analyzing customer interaction data, brands can better understand customer behavior and preferences to customize personalized and relevant content, enhancing customer engagement and loyalty. Brands also need to prioritize privacy and security to ensure transparency in data collection and usage and strict compliance with regulations. Combining content innovation with real-time interaction enhances customer satisfaction and brand image. The case study of Nikes social media strategy demonstrates successful practices in utilizing interactivity, content innovation, and data analysis, providing valuable management insights to help brands maintain competitive advantages and achieve sustainable development in a fiercely competitive market.
Analysis of Marketing Strategies of Make-up Brands in Xiao Hong Shu in China
Authors: Ye Yiru
Published: August 2024

The pervasive influence of the Internet has profoundly shaped consumers behaviors. The application Xiao Hong Shu has emerged as one of the most prominent social-commerce platforms among Chinese people where users share opinions and make purchases. Since 70% of the demographic of Xiao Hong Shu are females, the application appears to be the very place to go for make-up brands. This essay aims to analyze the marketing strategies of the brands from the perspectives of The Marketing Theory of 4Cs, which is customer, cost, convenience, and communication, enabling the brands to comprehensively identify the pros and cons of the brands approaches and better adapt to the dynamic digital market. The essence of the marketing tactic of brands in Xiao Hong Shu lies in the findings. The user-generated reviews are greatly influencing customers purchasing behaviors, so companies are paying KOLs and KOCs for positive promotion. E-commerce reduced the cost of setting up the physical store for business owners, and coupons released from the application lower the price of the product for customers. The social-commerce platform empowers a convenient transition between social media and e-commerce. However, challenges persist, for example businesss payment did not gain the intended return, influencers spread inaccurate information to promote the products, and concerns over personal information security are vital.
Economic Performance and Business Models in the Chinese Theatre Industry: A Comparison of Wuzhen Water Town and Huichang Theatre Village
Authors: Wang Max Zhoutian
Published: August 2024

The Chinese theatre industry, despite its rich cultural heritage, has been historically overshadowed by other entertainment forms and has faced challenges in adapting to modern market dynamics. This paper explores the economic performance and business models of the Chinese theatre industry through a comparative case analysis of two distinct tourist attractions, Wuzhen Water Town and Huichang Theatre Village. The research methodology includes a review of the industry's historical context, an examination of current economic trends, and the case study analysis of the two venues. The finding reveals that while the industry has shown growth and is gradually embracing commercialization, it still faces significant challenges, including economic sustainability, infrastructure development, and balancing authenticity with commercial interests. The case study highlights unique approaches each venue takes to address these challenges, with Wuzhen focusing on international festivals and Huichang Theatre Village aiming to be a year-round cultural hub. Both venues strive to innovate and adapt to modern audience preferences while preserving their historical and cultural significance. The Chinese theater industry is gradually emphasizing on market and commercialization, while it needs to find a balance between maintaining artistic and commercial success. By learning from the successful experiences of the West, the Chinese theater industry has the potential to achieve sustainable development and contribute economically and culturally.
Analysis of the Advantages and Disadvantages of Commercializing Sports Leagues Based on NBA Alliance
Authors: Dong Zheng
Published: August 2024

Through the analysis of the advantages and disadvantages of commercialization in the NBA league, the conclusion drawn in this article is that the increase in the degree of commercialization ion of the league has a significant impact on the league's visibility, commercial value, economic income, and overall competitive level. It can also drive the development of the entire sports industry and the formation of a country's sports culture. In the process of commercialization, corresponding problems also arise. From the perspective of fairness, certain matches in the league may be affected by commercial interests in the terms of the fairness of referee calls and penalties. Sometimes, concessions may be made for the sake of the viewing and smoothness of the game, which can damage the interests of one team and violate the spirit of fairness and justice in sports. In addition, gray industries such as gambling and soccer are constantly emerging, which have a great impact and harm on society and are difficult to completely avoid. After decades of development, the NBA has successfully captured the development dividends of the media and Internet era, completed its own brand building, and pushed the NBA to the world. The NBA continuously improves its internal rules, introduces a series of policies, works closely with sponsors in various fields, and make it the world's number one professional basketball league. In order for China's professional basketball league to develop and grow on the path of professionalization and commercialization, in addition to learning and drawing on the NBA business model, it is also necessary to combine its own basic national conditions and basketball development status, formulate basketball league and culture with Chinese characteristics.
Capital Structure, Industry Differentiation, and Firm Performance
Authors: Xu Yifang
Published: August 2024

This study examines the impact of capital structure on firm performance, highlighting industry-specific differences and the influence of economic and regulatory environments. Capital structure, particularly the debt-to-equity (D/E) ratio, plays a critical role in financial management, affecting both profitability and financial risk. The Modigliani-Miller theorem serves as a theoretical foundation, positing that in the absence of taxes, a firms value is unaffected by its capital structure. However, real-world applications reveal significant variations due to tax considerations, market imperfections, and industry-specific factors. Developed countries, with mature financial markets and stable economic conditions, allow firms to optimize their capital structures using diverse financing instruments. In contrast, firms in developing countries face higher financial risks and rely more on internal and short-term financing due to economic instability, high interest rates, and underdeveloped financial markets. Industry characteristics further influence capital structure; capital-intensive industries often have higher D/E ratios due to the need for significant investment in technology and infrastructure. The study underscores the importance of tailoring capital structure strategies to specific market conditions and industry needs to enhance financial stability and performance. Policymakers and business leaders must navigate these complexities to foster sustainable growth and minimize financial risks.
Expanding the Profitability Model of a Sports Agency Based on Win-win Interaction: The Case of Klutch Sports
Authors: Hua Xiaowei , Wang Yijun
Published: August 2024

As the sports industry continues to grow, there is an increasing demand for the brokerage industry in the sports sector. Klutch Sports, an American professional sports agency, has grown rapidly since its creation in 2012, and boasts a number of big-name players, including Rich Pual, the company's founder. Rich Pual is the founder of Klutch Sports, which has negotiated more than $1 billion in contracts by signing more and more players to high-dollar deals. In July 2019, Unite Talent Agency (UTA) announced the acquisition of part of Klutch Sports and the appointment of Rich Paul is responsible for running the sports division. Through the outstanding ability of the leader and absorbing business talent to form an experienced team to provide players with the company's characteristics of the full range of services, so Klutch Sports has maintained a good momentum of development, from a small company gradually become a strong sports brokerage company. Its operation and development of the company is worth studying and learning from. Klutch Sports agency is used as an example for this study to provide professional sports brokerage firms with favourable information so that they can better and more characteristically combine sports and business, as well as provide greater economic value to the sports industry. This study argues that agencies need to improve to adapt to this era of "player empowerment" and reap the benefits of having the players' interests as their primary goal.
Motivation and Performance Analysis of Spin-offs and Listings: A Case Study of Ningbo-Zhoushan Port
Authors: Guo Shiming
Published: August 2024

Spin-off and listing is one of the means of contractile asset operation. This paper takes Ningbo Zhoushan Port (hereinafter referred to as Ningbo Port), the first case of "A split A" of China's port and shipping enterprises, as the research object, explores the motivation of Ningbo Port's spin-off and listing of Ningbo China Ocean Shipping(Group) Company (COSCO), and analyzes the risks of the spin-off to enterprises and market investors based on some financial indicators of the parent and subsidiary before and after the spin-off. The results show that from the perspective of the overall spin-off effect, the spin-off effect of Ningbo Port is not significant. From the perspective of the realization of specific motivations, the spin-off of Ningbo COSCO by Ningbo Port conforms to the external development trend and the characteristics of the enterprise in its own mature stage. From the perspective of market reaction, the market is not optimistic about the prospect of this spin-off, and the stock price of Ningbo Port has fallen before and after the spin-off. At the same time, after Ningbo Port spun off Ningbo COSCO and listed, Ningbo Port's control over Ningbo COSCO has declined, which also makes investors worried. This study hopes to provide a reference for the spin-off and listing of Chinese port enterprises in terms of broadening financing channels and reducing market information asymmetry.
The Impact of ESG Factors on the Firm Performance
Authors: Jiang Shangyang
Published: August 2024

This paper examines the impact of environmental, social, and governance (ESG) factors on corporate behavior and performance. Amid increasing concerns from stakeholders, companies are pressured to prioritize ESG aspects. This study leverages stakeholder theory, which emphasizes balancing all stakeholder interests over solely maximizing shareholder wealth. A significant shift was noted in 2019 when U.S. business leaders endorsed a "Statement of Purpose" emphasizing societal benefits over shareholder interests, reflecting a broader move towards corporate social responsibility. The paper analyzes ESG's influence on three key areas: investor expectations, risk management, and long-term strategy. It highlights the mixed research findings on the correlation between ESG ratings and stock prices, noting emerging studies that explore behavioral biases in investor decisions. In terms of risk management, ESG practices are increasingly integral, with research showing that higher ESG ratings can reduce default risks. Regulatory risks are also discussed, particularly concerning climate change policies. Furthermore, the paper explores how sustainability, driven by investor and consumer activism, is becoming central to corporate long-term strategies. Models like the ISM and concepts like double materiality are used to demonstrate how ESG factors can optimize corporate performance. Ultimately, the study concludes that ESG elements significantly impact corporate behavior, suggesting a positive correlation with firm performance.
The Impact of Economic Globalization on National Economies and Social Structures
Authors: Li Zhenpeng
Published: August 2024

An examination of the significant impact of economic globalization on labor markets, income inequality and fiscal policy in both developed and developing countries is presented in this paper. With regard to the labor market, developing countries that shifted from manufacturing to services, such as South Africa, lost many jobs for low-skilled workers. Similarly, in developed regions, while globalization has fostered the growth of high-tech and service industries, it has led to stagnant wages for low-skilled workers. Income inequality has risen: high-skilled workers in the United States have enjoyed wage growth and better employment prospects, while low-skilled workers have suffered. For developing countries in South-East Asia, high-income groups there benefited far more from globalization than low-income groups. Fiscal policy has also suffered. In the European Union, uncoordinated tax policies have posed a challenge to economic cohesion, while in Sri Lanka, political instability has hampered the success of export-oriented strategies. The study concludes that a stable political environment and fair distribution policies are crucial for developing countries, while developed countries should enhance education and implement fair tax policies to reduce inequality. Future research should explore the broader socio-economic impacts of globalization and develop a comprehensive policy framework to deal with its complexities.
PENGARUH RASIO LIKUIDITAS, RASIO LEVERAGE DAN RASIO AKTIVITAS TERHADAP PERTUMBUHAN LABA PADA PERUSAHAAN FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Parhusip Poltak Theodorus , Sitanggang Abdonsius , Purba Antonius M. , Lumban Gaol Romasi
Published: August 2024

This research aims to empirically determine the impact of liquidity ratio, leverage ratio, and activity ratio on profit growth in pharmaceutical companies listed on the Indonesia Stock Exchange. The study involves ten pharmaceutical companies listed on the Indonesia Stock Exchange during the period 2019-2021 as the sample. Secondary data using documentation techniques were employed for the study, and the data analysis utilized multiple linear regression.. The research results revealed a multiple linear regression equation: Y = -93.825 + .217X1 – 0.703X2 + 0.606X3. According to the t-test, each ratio individually has a significant influence on profit growth. In other words, these three ratios collectively contribute significantly to understanding the factors influencing profit growth in pharmaceutical companies on the Indonesia Stock Exchange. The F-test indicates that simultaneously, liquidity ratio, leverage ratio, and activity ratio have a significant impact on profit growth in pharmaceutical companies. This suggests that liquidity ratio, leverage ratio, and activity ratio collectively influence profit growth in pharmaceutical companies listed on the Indonesia Stock Exchange. The coefficient of determination, with a value of 0.655, implies that 65.5% of the variance in profit growth can be explained by these three ratios, while the remaining 34.5% is attributed to other factors. For future research, it is recommended that researchers increase the sample size and incorporate additional variables to obtain a more comprehensive and accurate analysis.
PENGARUH KUALITAS PRODUK, CITRA MEREK, DAN HARGA TERHADAP KEPUTUSAN PEMBELIAN LE MINERALE DI KECAMATAN MEDAN POLONIA DENGAN PROMOSI SEBAGAI VARIABEL MODERASI
Authors: Pertiwi Suci
Published: August 2024

This research is to determine the effect of product quality, brand image, and price on the purchasing decisions of Le Minerale with promotion as a moderating variable (Case Study on Consumers in Medan Kota District). The type of research used in this research is quantitative research. The technique of determining the sample in this study used a nonprobability sampling technique with the Accidental sampling method from a google form link for 100 samples, namely Le Minerale consumers. The data analysis method used is Partial Least Square – Structure Equation Modeling with a two-stage approach test using the SmartPLS application version 3.2.9. The results of the significance test show that the exogenous variables, namely product quality, brand image, and price, have no effect on purchasing decisions. The result of the moderation test is that promotions are able to moderate the relationship between product quality and brand image with purchasing decisions, while promotions are unable to moderate prices with purchasing decisions of Le Minerale in Kota Medan.
Sistem Presensi Karyawan PT. Tigaraksa Satria Berbasis QR Code
Authors: Yana Yusti , Nugroho Isworo
Published: August 2024

Presence shows the presence of the employee in a company and can be used as one of the points for calculating salaries and meal allowances. The presence system is one of the most important components in an office as an employee attendance recorder. This employee attendance system can later be a proof that the employee is already in the office or company. PT. Tigaraksa Satria which is usually done manually (by means of a signature on the attendance register paper) will be able to cause inefficient data collection and has a weakness that allows fraud in recording employee attendance, the fraud is often called an absentee deposit, therefore a system is needed which can be used to address fraud as well as more specific data collection on employee attendance. QR code has the advantage of being easy to read from various directions, large capacity, small size, can be resistant to dirty and not easily damaged. In this way the QR code can be used as the basis for the development of a presence system. In order to avoid cheating in attending attendance or leaving attendance, employees must take a face photo when making attendance with a QR code. PT. Tigaraksa Satria based on QR code can validate every process on the system such as login, data entry, attendance and so on.
Perbandingan Metode SAW ( Simple Additive Weigthing ) dan AHP ( Analityc Hierarchy Process ) Pada Sistem Pendukung Keputusan Pemilihan Rumah Siap Huni di Perumahan Studi Kasus : Kota Semarang
Authors: Amartya Deva Nur , Diartono Dwi Agus
Published: August 2024

Home is a necessity that must be owned by everyone in this day and age. In the past, this house was built by the owner himself, but over time, many housing developers have provided alternatives. This housing developer provides ready-to-occupy houses to be directly occupied by buyers. However, with the increasing number of housing options, prospective buyers must observe very carefully and be careful in choosing a ready-to-live-in house. Prospective buyers must have some special criteria or a helper to determine this house. With this, there will be a system that helps to make choices using two methods, namely the Simple Additive Weighting (SAW) method, often known as the weighted addition method. The basic concept of the Simple Additive Weighting ( SAW ) method is to find a weighted sum with a performance rating of each alternative on all attributes. While the method of Analytic Hierarchy Process (AHP).
Sistem Informasi Penjualan Berbasis Web pada PT. Perwira
Authors: Fitriani Asa Febri Nur , Supriyanto Edy
Published: August 2024

Report recording system and product sales that have been carried out at PT. Officer is still manual by using the Microsoft Excel application which is done by the admin of PT. Officer which is considered very risky in data storage. In addition, if the customer comes directly to the store, the customer must wait at least 30 minutes for transaction processing because the admin is still processing it manually. With the creation of a Sales Information System at this Web-Based PT. Officer, it is hoped that it can help all parties to process the data. Data processing starts from the admin who can add products, edit products and delete products that are directly connected to the database. And customers can make product purchase transactions.This system was developed using Visual Studio Code, PHP, CSS, XAMP V3.3.0 and MYSQL applications. The method used or used in this information system is the Waterfall Method. With this website, transactions and sales reports can be processed in a structured manner and the security system can be guaranteed because it is stored in the database. This website is designed to assist customers in providing the desired product. The results of this information system can simplify the ordering process and the sales process. And this information system is also a means to expand and simplify services so that they can become faster, more effective and efficient.
Implementasi Metode GADA (Grey Absolute Decision Analysis) untuk Penerimaan Pegawai
Authors: Manullang Dosma Parningotan , Masrizal Masrizal , Juledi Angga Putra
Published: August 2024

Poltekkes Kemenkes Medan is one of the many state campuses in the archipelago in the form of a Polytechnic, managed by the Ministry of Health and contained in the Ministry's Kopertis area. This campus has been established since January 1, 2001 with SK PT Number and SK PT Date, this Polytechnic is located on Jl. Jamin Ginting KM. 13.5 Ex. Lau Cih Medan – Tuntungan, district of Medan City, North Sumatra Province, Indonesia. the establishment of the Health Polytechnic is based on PP NO. 60 of 1999, then issued SK. Minister of Health No. 298/SK/Menkes/2001 which is a form of government policy in increasing the effectiveness of the use of available resources and sources of funds aimed at efficiency, a Health Polytechnic was formed. Recruitment is the process of finding and withdrawing workers who have the potential to fill vacancies, qualified workforce is very influential on the performance of the company's progress, the potential for making decisions about hiring prospective employees is still influenced by subjective factors and companies still often have difficulty in selecting employees, this research uses the method method. gray absolute decision analysis (GADA), because the gray absolute decision analysis (GADA) method is one of the multi-criteria settlement methods where there are many criteria that must be considered in recruitment.
Implementasi Metode Transportasi North West Corner Untuk Optimasi Biaya Pengiriman Barang Pada UD. Naga Timbul
Authors: Hendriyanti Yurika Cici , Masrizal Masrizal , Sihombing Volvo
Published: August 2024

Delivery of goods or services is an important part of the activities of a government agency or a particular company. The problem that is often faced with shipping is the issue of cost. The delivery system is a series of activities that determine the company where the products are sent to consumers to be marketed with the aim of facilitating product marketing. The delivery system is one of the main supports after the production process thus realizing the optimization of shipping costs. UD. Naga Timbul is a company engaged in the fertilizer sector. Goods produced will be sent to the branch company UD. Naga Timbul. The method in this study is to use the North West Corner (NWC) method to calculate the cost of shipping goods. The application consists of three parts, namely, filling in the data supply and location of demand, as well as filling in data on the cost of shipping goods. To build this system application design, Microsoft Visual Basic 2008 and Mysql software are needed as database creation.
Optimasi Metode Travelling Salesman Problem (TSP) Dalam Menyelesaikan Kasus Rute Terpendek Pengiriman Barang
Authors: M Padma Mike Putri
Published: August 2024

The process of searching and tracking is very important in determining the success of the basic concepts of artificial intelligence. One science that is able to solve the shortest route concept is the Traveling Salesman Problem (TSP) Algorithm. The work form of this algorithm is in the form of determining the shortest route with the work process calculating all paths passed using predetermined concepts and rules. The form of the Traveling Salesman Problem (TSP) is in the form of a minimum weight on a connected graph, with the basic concept of visiting several cities and returning to the original city so that each city is visited exactly once with the shortest possible total distance traveled. The problem of this research is the lack of understanding Salesman in understanding algorithms that are able to provide instructions for the shortest path so that it is easy to find solutions in the form of information that can be used as a reference in saving time and costs on the way. The main objectives of this research are (1) to determine the route of delivery of goods, (2) to solve the Traveling Salesman Problem (TSP) algorithm, (3) to save time and money while traveling. The final results of this study found 24 paths that could be passed by salesmen. Each route has a different value. The value of the shortest route that can be used as a reference is the JLMK/KMLJ line. JLMK route value = 60 +40+40=160 and KMLJ route = =40 +40+60=140. The value of the shortest route found is a route point of 140.
Implementasi JST Pada Keamanan Data Smartphone menggunakan metode metode Bidirectional associative memory BAM
Authors: Yendrizal Yendrizal
Published: August 2024

The development of smartphone technology is currently increasing from year to year, this can be seen from the many outputs of smartphone technology circulating in the market. Smartphones are now a primary need for carrying out daily life. Smartphones are used not only for communication but also for data storage. The research problem often occurs when data is stolen from smartphones from criminal acts. The purpose of this study is pattern recognition on smartphones according to the user's secret key to avoid data theft and other criminal acts. Pattern recognition uses the BAM Continuous Associative Memory Bidirectional method using Activation and sigmoid functions. The Smartphone recognition pattern consists of 5 patterns namely Z pattern, O pattern, M pattern, O pattern and W pattern. The pattern results obtained from Z=[7,7] pattern, O=[11,15] pattern, M=[ pattern 13,7], pattern X=[7,9], pattern O=[11,15]. Based on the final results after searching for 5 patterns, only pattern Z=[7.7] and pattern X=[7.9] are the same as the expected targets in pattern recognition that were entered.
Chatbot Telegram untuk Rekomendasi Pariwisata Daerah Semarang Menggunakan Framework Rasa
Authors: Alvinnajmi Abid Ridlo , Soelistijadi R. , Saefurrahman Saefurrahman
Published: August 2024

Tourism is a leading industry in various countries because it can improve the country's economy. One city that has potential for tourism is Semarang, because this city has unique culture and beautiful nature. However, there are too many sources of information regarding tourist attractions such as the city of Semarang, which makes tourists sometimes confused about determining tourist destinations that suit their wishes at that time. Therefore, we need a system that can provide recommendations for tourism spots in a destination city. This research aims to develop a Question Answering System or digital question and answer system using a chatbot (ChatterBot). Chatbots are used as information service providers that can make it easier for tourists who are looking for information about tourist attractions. chat bot-based information service systems can work 24 hours or throughout the day, reducing the intensity of direct physical contact with officers and saving operational costs. The chatbot implementation is built on a Machine Learning Framework using RASA Open Source with the Python programming language. Basic knowledge of the chatbot system is drilled based on the FAQ (Frequently Asking Questions) dataset with tourism research objects in the Semarang area. The evaluation results and system performance based on data testing obtained a model accuracy level of 0.91. Furthermore, the weighted average value in the ConfusionMatrix produces a precision of 0.97, recall of 0.94, and an F1 score of 0.95. Training and processing models locally.
Pengembangan Sistem Pendukung Keputusan Rekrutmen Karyawan Terbaik Dengan Metode Weighted Product Di PT Morich Indo Fashion
Authors: Hidayati Dian Rahmania , Kustiyono Kustiyono
Published: August 2024

Karyawan terbaik merupakan salah satu asset Perusahaan yang mapu membuat Perusahaan berkembang. PT Morich Indo Fashion belum memiliki standarisasi SDA dalam menentukan karyawan terbaik. Sistem yang dirancang untung menghasilkan informasi dapat membantu Perusahaan untuk menilai kinerja karyawan dengan menggunakan data dan model dalam memecahkan masalah dengan menggunakan metode Weighted Product (WP). Konsep yang digunakan metode ini ialah dengan pembobotan rating suatu variable penilai Sistem Pendukung keputusan ini menggunakan 5 kriteria penilaian yaitu absensi karyawan, kemampuan karyawan kejujuran, Kerjasama tim dan tanggung jawab. Metode ini menghasilkan rekomendasi karyawan terbaik dengan nilai WP yang paling tinggi
Sistem Pendukung Keputusan Untuk Menentukan Kualitas Beras Dengan Menggunakan Metode WP (Weighted Product)
Authors: Syarifudin Nanang Irfan , Mujiyono Sri
Published: August 2024

Beras adalah komoditas makanan utama bagi hampir setiap negara di Asia, khususnya negara-negara Asia Tenggara. Tingginya permintaan konsumen untuk makanan berbasis beras membuat produsen beras kesulitan menentukan kualitas beras yang baik. Maka diperukan sebuah sistem pendukung keputusan untuk menentukan kualiatas beras yang terbaik dengan menggunakan metode Weighted Product (WP). Metode ini menggunakan perkalian untuk menghubungkan rating atribut, dimana setiap rating atribut harus dipangkatkan dahulu dengan bobot atribut yang bersangkutan. Metode ini hanya menghasilkan nilai terbesar yang akan dipilih sebagai alternatif terbaik. Perhitungan akan sesuai dengan metode jika alternatif yang terpilih memenuhi persyaratan yang telah diterapkan. Adapun kriteria yang terlah direkomendasikan pakar berdasarkan permasalahan yang terjadi yaitu warna, ukura, aroma, dan tekstur sehinga menghasilkan peringkat terhadap pemilihan kualitas beras terbaik yang pertama terbaik Beras Rojolele dengan nilai Vector = 0,23215, kedua terbaik Beras IR 64 dengan nilai Vector = 0,2178, ketiga terbaik Beras IR 42 dengan nilai Vector = 0,20015, keempat terbaik Beras Pandan Wangi dengan niali Vector = 0,18214, dan rangking terbaik yang terakhir yaitu Beras Methik Susu dengan nilai Vector = 0,16776.
Pemeringkatan Calon Penerima Beasiswa SD Negeri 3 Wadas, Kendal Menggunakan Metode AHP-Copras
Authors: Perdana Dimas Satria , Wibisono Setyawan
Published: August 2024

The main obstacle in the selection process for scholarship recipients at SD Negeri 3 Wadas is that selection is only based on one or two criteria without considering other relevant factors, such as family economic conditions, academic achievement and student age, which can lead to uneven and uneven distribution of scholarships. right on target. This research aims to develop a ranking model for prospective scholarship recipients at SD Negeri 3 Wadas using the criteria of family income, number of family members, age of students, average grades, and income per person. The final results of the ranking show that prospective scholarship recipients with a small income per person, small family income, large family size will make prospective scholarship recipients the best choice, this is because the criteria for income per person and family income have the highest weight. On the other hand, scholarship recipients with a large income per person, a large family income and a small family size will be the lowest choice in the ranking list