bluuebunny/crossref_metadata_2025 huggingface dataset:
A Hybrid Improvement on Board's Role to Block Hostile Takeover
Authors: Deng Haoyuan
Published: March 2023

Whether boards should be allowed to block hostile takeovers is a complicated issue. Based on different value orientations, U.S. and U.K. set contrary regulations. Under U.K. regulations, the board of corporation shall apply the “No frustration” principle when corporation faces a takeover from another entity. While the regulations of the U.S. allow the board to defend hostile takeover by imposing a series of measures under the standards of Unocal and Revlon, current regulations are imperfect in that they are unable to correct the actions of the board timely. Therefore, the needs for improvement to protect shareholders' interests still exist. Aiming to shareholder value maximization, this article proposes a possible solution for improvement and calls on an open environment of power allocation between board and shareholders.
Analysis of Business and Governments Responses to Security Clearance through a Case Study Approach
Authors: Zhang Runhan
Published: March 2023

With the ongoing trade disputes between China and the US in recent years, Chinese companies have struggled with their acquisitions in the US. Some studies have mainly focused on how Chinese companies should respond to US national security reviews, while there is a lack of unified recommendations on the responses of the two governments. Therefore, based on the case of the acquisition of Snapdragon by Asymchem, a case study approach is used to explore the tripartite role of Chinese companies, the Chinese and US governments in the national security review system. The analysis concludes that the security clearance issues faced by Chinese companies acquiring US companies are: industry attributes and sensitive technologies, derogation agreements and political risks. Corresponding strategies are therefore proposed for the three parties to respond: rights-limiting acquisition options, lobbying and a US-China bilateral investment agreement to facilitate bi-national investment with the joint role of companies and both governments.
Analysis of Development of Social Media Marketing Based on Social Media Platforms——Using Apple as an example
Authors: Yu Yang
Published: March 2023

This paper tries to indicate the popular social media marketing strategy, using Apple as an example to describe the current market situation. Social media platforms have become the main focus of entrepreneurs and small companies. They try to elaborate their business through social media to achieve higher brand exposure and product exposure. Apple did not act in this market and adopted a unique approach from other companies. Technology is developing because people have decided to gain information from social media rather than newspapers and TV. But Apple is still using the old fashion way, so this paper is trying to use the interview and case study method to analyze Apple’s successful unique strategy in social media platforms and the future development of Apple’s social media marketing perspective. Because Apple still has to catch up with the mainstream market, so they still have to take action to ensure their brand competitiveness. Social media platforms play a significant role in their future blueprint.
Research on the Impact of the Development of Short Video Platform on Consumers’ Purchase Demand and Consumption Level and the Reasons——Take Tiktok as an example
Authors: Chen Yining
Published: March 2023

“Short video + e-commerce” means using capable online applications such as the Tiktok platform to buy and sell products in the form of short videos. With the rapid development of the Tiktok platform and the introduction of e-commerce, the “Short video + e-commerce” shopping method gradually produces impact on consumers’ purchase behaviors. In this research, the impact on the purchase demand of TikTok users and the reasons for the increasing consumption of online short video platforms by network users are explored using the questionnaire survey, interview, and literature research. The results illustrate the reasons from six aspects: convenience, diversity, detailed descriptions, bargains, big data push, and the freshness of curiosity induced by short videos. Moreover, some current shortcomings of the TikTok shopping system have been suggested by several consumers in the interview, including inventing more practical functions for consumers and strictly supervising unscrupulous enterprises. In conclusion, this research investigated a positive relationship between the development of short video platforms and consumers’ purchase demand and consumption level, pointing out some improvements that TikTok can provide.
Research on “Fan Economy” and Marketing Strategy in the social media Era
Authors: Zhou Ruoyu
Published: March 2023

The changes in media technology have changed the social structure and the economy’s development, especially since social media has strengthened the community organization of “fans”. So far, a new business operation mode and relationship marketing mode, “fan economy” has become widely known. Meanwhile, social media provides fans with more space for participation, which makes the interaction between fans and idols more frequent and closer, and has a more significant impact on the promotion of the economy. As a product of the social media age that scholars and businesses value, the fan economy and its marketing strategies have great value for research. This paper uses case study and literature analysis methods to analyze and interpret some social media marketing cases in the fan economy. Moreover, this paper proposes novel solutions to the potential drawbacks of pop star endorsement and highlights the importance of the brand and the commodity itself. This research can further grasp the operation mechanism of the fan economy to utilize the value of this economy better.
Current issues and Countermeasures of Smart City Construction: the case study in China
Authors: Bao Mingyuan
Published: March 2023

As an emerging pattern in city planning around the globe, the smart city is gradually changing people's traditional way of life. Building smart cities can boost domestic demand, drive the growth of innovative industries, and promote regional economic development. It helps to enhance the core competitiveness of cities and allows them to gain a competitive advantage in the fierce regional competition. China has led the way in the construction of smart cities in recent decades. This paper provides a concise overview of the evolution of Chinese smart city policy and relevant strategies, and it analyses some of the challenges encountered along the way. The main problems can be divided into three: lack of specific plans, concerns about environmental protection, and low degree of citizen participation and information privacy. This paper puts forward relevant recommendations based on these problems as follows: scientific planning and rational layout increased investment, implementation of the concept of sustainable development, and introduction of public participation and protection of information privacy. These recommendations can aid in the growth of smart cities in China and serve as a point of reference for the relevant government agencies and smart city-related businesses in China and abroad, boosting the sustainable and healthful growth of the smart city.
Effects of user experience in live marketing on consumer purchase intention
Authors: Liu Yutong
Published: March 2023

Live-streaming marketing has become an important marketing mode in the online environment and has become one of the important marketing modes for enterprises to obtain sales revenue. This research constructs a research model of user experience and intention of purchase in live-streaming marketing based on SOR theory. Through a questionnaire survey, this paper studies the impact of user experience of live marketing on customer trust and intentions of purchase. This research found a positive relationship between customer trust and consumer purchase intention. The user experience of live marketing has a firsthand impact on consumer’s intention to purchase. In addition, as a mediating variable, customer trust indirectly affects consumers' purchase intention. This research enriches the research in the field of user experience in live-streaming marketing and proposes ways to enhance user experience in live-streaming marketing. It has a certain guiding significance for the development of enterprise live marketing activities.
Analysis of Rolex's Marketing Strategy in Quartz Crisis and Its Inspiration to Other Brands
Authors: Li Zhiyu
Published: March 2023

This paper first describes the status of Rolex in the luxury watch industry. Today, Rolex is an international luxury watch brand, with flagship stores, distributors and franchise stores all over the world and people regard owning a Rolex as a symbol of success. And then this paper describes the quartz crisis, which is crucial to Rolex's successful transformation into a world-class brand as it was previously a niche, utilitarian Swiss watch brand , and draws out the efforts made by Rolex in the three aspects of brand positioning, brand value and brand culture during the quartz crisis. In this crisis, Rolex accurately understood the changes in the market, located customer groups as well understood their needs. Rolex also enhanced their brand value from multiple aspects, made their products luxury, and established their own brand culture in the subsequent development of the brand in response to the crisis. Finally, the reference value of these strategies for other brands is proposed.
The Effect of Building Perceived Value on Increasing Customer Purchase Intention in the Internet Celebrity Economy
Authors: Lin Shichao
Published: March 2023

Based on the statistics report of Double 11 shopping festival, the sales volume of live-streaming E-commerce which consist of Internet celebrity economy as a main part has reached 181.4 billion yuan with a year-on-year growth of more than one hundred percent. The purpose of the research is to figure out some important aspects towards building perceived value and how perceived value takes effect to increase customer purchase intention in the Internet celebrity economy, especially for Chinese Internet celebrity economy. Social media influencers in platforms like TikTok have made great contribution to the growth of E-commerce. Internet celebrity economy has advantages such as cheaper price or multiple purchase channels. Besides, perceived value also plays a significant role in the booming development of Internet celebrity economy. The research would introduce the main marketing methods of Internet celebrity economy and illustrate some important aspects for Internet celebrities in attracting fans' attention and building perceived value. Subsequently, the research would compare different aspects to find out more effective factors on building perceived value and increase customer purchase intention. Finally, the research gives some suggestions about how to improve the self-influence based on the review of the research on foreign social media influencers. The conclusion of this study is that strengthening the emotional connection between Internet celebrities and customers is the key to improve customers' purchase intention.
Team Performance: A Review of Research and Future Prospects
Authors: Wang Tianci
Published: March 2023

With the increasing trend of economic globalization, on the one hand, countries and regions around the world are communicating more frequently than before, and in this mode of frequent interaction, industries, cultures and individual values are becoming more diversified and diverse, and corporate teams are also gradually developing in diversity, and the number of cross-regional and cross-industry teams is increasing. Team performance, as a means and standard of team behavior evaluation and management, is inseparable from the realization of the enterpriseization goals. On the other hand, the competition between enterprises at home and abroad is becoming more and more intense, and team management plays an increasingly important role in the 21st century. Now that the Internet winter has come, most enterprises are holding each other for warmth, and it is especially important to make the team in the enterprise work more actively, have a better atmosphere and higher performance. From the time American entrepreneurs started to focus on team management until today, there has been a great deal of literature related to teams, which have gradually become the basic work unit for organizations to engage in activities in a dynamic environment, and the factors affecting team performance have been a hot spot for researchers to focus on. This paper reviews the literature related to team performance in management and presents an outlook for future research. Collating the literature reveals that the difference between team performance and individual performance has not been agreed upon in research; the effect of team diversity on team performance is also controversial, suggesting that team performance needs further research.
The Impact of Fake Reviews of Online Goods on Consumers
Authors: Cao Chuhua
Published: March 2023

The fake product reviews on the Internet have brought great obstacles to consumers to make the right purchase decision. Fake reviews reduce the goodwill of e-commerce platforms and harm the interests of most merchants on the platforms. The appearance of fake reviews is easy to mislead consumers to make wrong decisions. Therefore, the research and identification of fake comments are urgent and significant. This paper will detailed discussion and analyze the impact of fake reviews on consumers from the perspective of the formation of consumers' purchase decisions. The four dimensions are demand cognition, looking for alternative plans, purchase decisions, and purchase behavior. Fake reviews may stimulate consumers' purchase desire by changing their demand perception. When evaluating alternative plans, they are affected by the reputation of merchants, etc., and fake reviews significantly affect the purchase decision. Consumers may make positive or negative comments after a purchase. When reviewers do not have expectations for the goods they receive, they become distrustful of the business and the platform, and they give emotionally negative reviews. If satisfied, positive publicity feedback will be given. This paper conducts literature and case studies on the impact of poor information on consumers caused by artificial evaluations and the prevention and control of fake reviews. The author will analyze the reasons for the occurrence of false comments and discuss how to prevent the occurrence of false information to the maximum extent, including the establishment of reward and punishment mechanisms, innovating the detection technology of fake commodity reviews to avoid unfair competition, and strengthening the control of real-name information on the Internet.
The Effectiveness of CAPM and Fama-French Three-Factor Models in Healthcare and Real Estate Industries
Authors: Huang Xijing , Zhang Ruizhe , Lv Caiwei , Zhu Fengyue
Published: March 2023

As the world’s largest economy and an important hub for cross-border capital flows, monetary policy adjustments in the U.S. will affect the cross-border capital flows and the structure of net international investment positions. From the 1990s to the present, the U.S. has experienced four rounds of interest rate hike cycles as domestic inflationary pressures fluctuate. In this paper, we analyze the changes of KML, SMB, HML and other factors of the stocks of leading companies in the medical and real estate industries based on regression analysis. Specifically, to investigate the applicability of the CAPM model and FF3 model in the medical and real estate industries in the context of the Fed's interest rate hikes, we construct regression models and fit the corresponding coefficients in the CAPM model and FF3 model, respectively. According to the analysis, the FF3 model has a better performance in most cases and can better explain the impact of the Fed's interest rate hike on the healthcare and real estate sectors compared to the CAPM model. On this basis, it can still be used as an effective tool for asset valuation and resource allocation after the Fed's interest rate hike. These results shed light on guiding further exploration on asset pricing.
The empirical test of Asset Pricing Models in US Machinery market: Comparison of CAPM, FF3 and FF5 Models
Authors: Wang Yeqiu
Published: March 2023

As a sample, this study looks at data relating to the machinery sector of the US stock market from July 1926 to July 2022. This study's overarching objective is to investigate how three different financial models—the CAPM, the Fama-French 3 Factor Model, and the Fama-French 5 Factor Model, which have been implemented in the machinery sector over the course of time. This will allow the researchers to determine whether or not these models are applicable to the US stock market. In general, the three-factor model has better explanatory power for excess returns than the five-factor model, even with the addition of the investment and profitability factors for a single sector in the United States, the machinery sector and it explains almost all of the excess returns. This maybe because the three-factor model takes into account fewer variables than the multifactor model. Furthermore, the new profitability and investment factors do not have a single-factor effect that is as strong as that of the size and valuation factors.
An Empirical Research on Influencing Factors of Stock Returns in the National Defense and Military Industry
Authors: Lin Jinyi
Published: March 2023

The Chinese stock market has made remarkable strides after about 30 years of growth and development. Increasing levels of public involvement in the stock market contributed greatly to the growth of the nation's economy. As the majority of investors’ financial knowledge continue to increase, people pay more and more attention to the stock return and its influencing factors. This paper chooses stock from 71 listed companies in the National Defense and Military sector of Shenyin Wanguo’s primary industry as study object, constructing a multiple linear regression model for the company financial index and the stock return from 01/01/2021 to 31/12/2021, and performing F-test and T-test. Results show that Revenue Growth rate, Return on Equity, natural logarithm of Total Assets and Debt to Asset ratio will not impact the stock yield while Price-to-Earnings ratio have significant negative influence on it. Final investment decisions can be made by investors based on the interplay of the stock market, macroeconomic environment, and current circumstances.
Analysis of Chinese stock market based on Fama-French five-factor model
Authors: Yu Caiwei
Published: March 2023

After almost 25 years of expansion since its founding in late 1990, our stock market has expanded to rank second in the world in terms of market capitalisation. However, the stock market's speculative nature, information asymmetry, and extreme volatility can frequently raise serious concerns. The Fama-French five-factor (FF) model is used in this study to determine the variables affecting stock returns. and compares it to the three-factor model to see which model has a stronger ability to explain stock returns in the A-share market in the People’s Republic of China from the standpoint of asset pricing. The monthly data of A-share listed businesses for a total of 264 months between January 2000 and December 2021 are chosen as the sample in this article. Five factors are built using these data. Additionally, descriptive statistics and correlation analysis are carried out for the Chinese A-share market's five-factor model. The returns of the first four variables for regression are used to explain the returns of the fifth component in a five-factor model redundancy test.Finally, the three-factor intercept model and the five-factor intercept model are then obtained by doing a linear regression on the five-factor model. The results of the empirical test allow for the following inferences: All five factors are significant and have more explanatory power than the three factors since the CMA factor is redundant in the five-factor intercept model and is replaced by CMAO.Significant variables in the three-factor intercept model include MKT ,SMB and HML.
Research on Life Expectancy Prediction Based on Logistic Regression and KNN
Authors: Ji Wentao
Published: March 2023

The author checks the factors affecting life expectancy by reviewing the literature, and then displays the correlation graph to check the multicollinearity. Second, a training set (70%) and a test set (30%) are created from the dataset collected in this paper. The accuracy of their forecasts is then checked using two different ways—Logistic Regression and KNN before dropping the variable with high correlation with others and slight statistical significance. The accuracy for each model Logit (1), Logit (2), KNN (1) and KNN (2) is 0.8936,0.8723,0.8511 and 0.8723, respectively. The author’s conclusions are as follows: (1) For Logistic Regression Prediction, a lack of information is a major factor that affects accuracy; (2) For KNN Prediction, removing one or more highly linked explanatory variables can improve prediction; (3) Overall, Logistic Regression Prediction has slightly higher accuracy than KNN. Perhaps this is due to the fact that KNN requires a bigger sample size to prevent misclassification, and that the best K are chosen based more on cross-validation experience than the sound statistical theory.
International Business Strategies of Firms with Political Changes: A Case of Xiaomi's Entry into the Indian Market
Authors: Su Shan
Published: March 2023

Due to the instability of the global economy, an increasing number of firms are seeking to expand their businesses into other nations, which has contributed to the development of a variety of international business strategies. The primary purpose of the study is to investigate the impact and theoretical support of international business strategies on global expansion. The article argues for the importance of international business by infusing international business strategy into Xiaomi's globalization strategy. The article describes the current state and future outlook of the Indian smartphone market. It highlights Xiaomi's unique internationalization approach by applying SWOT analysis to determine the company's strengths, weaknesses, opportunities, and threats. In conjunction with the practicalities, it also assists in the development of unique strategies for a certain target market. The findings indicate that Xiaomi needs to be more locally developed and operated to match the requirements of the Indian market in order to preserve and expand its market share.
Impact of Capital Structure on Firm Performance
Authors: Yao Anzi
Published: March 2023

The main focus of this essay is the relationship between capital structure and company performance. From three main angles, the research examines and explores how capital structure affects company performance. Previous studies were mostly focused on a specific field, lacking comparison from multiple perspectives. In order to obtain a more comprehensive understanding, this paper expands the key points of the research, mainly from the following perspectives: two different models for calculating the optimal solution (Modigliani and Miller Theory and Capital Asset Pricing Model), two representative industries (real estate industry and retail industry), and differences between countries (differences between developed and developing countries, and differences between developing countries, taking Iran and Malaysia as examples). The findings in this paper demonstrate that various models will produce various conclusions on the relationship between capital structure and firm performance, and various analytical vantage points will change capital structure and ultimately have an impact on firm performance.
The Carbon Tax Effect on British Columbia Economy and Carbon Emission
Authors: Liu Haoran
Published: March 2023

A carbon tax is the most common carbon emission control policy widely used. British Columbia is the first Canadian province to use a carbon tax and implementing a carbon tax will impact British Columbia's environment and economy. This paper analyzes the scale of the carbon tax, energy consumption, GHG emission, and government revenue in British Columbia to evaluate the effect of the carbon tax. This paper finds that a carbon tax has no impact on dramatically reducing GHG British Columbia emissions, but it can help the government get more revenue. Although the carbon tax has little effect on reducing carbon emissions in British Columbia, the carbon emissions in British Columbia have been significantly reduced compared to other provinces. Therefore, we believe that the British Columbia carbon tax has a significant impact on controlling CO2 emissions, and the value of carbon emissions can be further controlled by increasing the carbon tax.
A Literature Study on Business Cycle Theory
Authors: Wang Zichen
Published: March 2023

Business cycle theory is always a research focus during the last couple of decades as a tool to explain the fluctuation in economic growth. In chronological order, this review sorts out the theories trying to explain the business cycle into five main influential schools of economics based on previous studies: Keynesian economics, Monetarism, New classical economics, Real business cycle theory, and New Keynesian economics. This review summarizes these theories respectively, introducing their origins, main mechanism, related models and empirical evidence, drawbacks, and challenges they face from other economists. Meanwhile, this review also compares the differences and similarities between each theory from three aspects: the determinant of aggregate production, the driving force of the business cycle dynamics, and the effectiveness of fiscal and monetary policies. The motivation is to gain a general view of modern business cycle theory to provoke thinking in long-term growth and short-term fluctuations in economic activities to support further research.
Stock Price Prediction Based on LSTM in Python
Authors: Zhang Zhuojin
Published: March 2023

To reduce the risk of people buying and increase the rate of return, applying a suitable model to predict stock prices is necessary. The research applies Long Short Term Memory (LSTM), which is a kind of artificial neural network in machine learning and is also a special kind of RNN. Through studying this model, the memory of LSTM is like human memory, which is composed of short-term memory and long-term accumulation. In this paper, the current data of 2020 and 2021 is to train, and the data from 2017 to 2019 is for testing. The data comes from three companies, GOOGLE, APPLE and AMAZON in the S&P500 index. Meanwhile, Mean Squared Error (MSE) is used for evaluation. Finally, in comparison with the different training times, LSTM presents good applicability, achieving negligible MSE.
Relationship Between GDP and Inflation Rate
Authors: Xiong Meixi
Published: March 2023

In history, inflation has appeared many times. For example, the Recession. Also, GDP inflation and deflation occur from time to time. However, there is little research about the relationship between inflation and GDP. Therefore, this paper wants to investigate how inflation is associated with GDP. However, there is no linear relationship between these two factors. Investment managers must discover a degree of awareness that aids their decision-making without overwhelming them with superfluous information. Discover the implications of inflation and GDP on the marketplace, the business, and the investment. Innovative banking variations across nations, or within a nation and over time, influence how inflation impacts economic growth. Smaller intermediaries costs mean that inflation has a negative production less than in higher-cost nations, and comparable effects apply within the same nation when intermediation prices shift over time. Inflation's impacts on growth have long been debated, both conceptually and experimentally. In contrast to several financial concerns, where the issue is frequently whether a particular impact or no impact exists, there are consistent theories that indicate inflation can have a favorable, unfavorable, or no influence on economic growth. As a result, it appears to be a perfect condition for testing different ideas against evidence.
The Influence of Traditional Celebrity's Behaviors on Consumers in Webcasting
Authors: Liu Jiamin , Luo Manqing , Wang Lin
Published: March 2023

Network rapid development, the rise of the network to live to lay the good foundation, traditional celebrity, which is also called as star, in a live webcast plays an important role, with the goods against the above background, the research will explore the star live with cargo behavior for the influence factors of consumer purchase intention, calculated the Suggestions to the construction of a brand of brand thinking and rational thinking to consumer consumption. The topic of the study is the star live broadcast with goods. Based on the theory of the celebrity effect, the study is carried out through swot analysis. The research results show that under the 5G network, the huge fan group, the detailed explanation of anchors, and the rendering ability of traditional stars have a positive impact on consumers' purchase intention. The research conclusion shows that under the celebrity effect, consumers will have impulse consumption, and consumers may have a gap. It is suggested that brands should constantly improve themselves, meet the needs of consumers and improve the quality of the brand itself.
The Heritage Language Protection and Teaching in the Yangtze River Delta - Take the Shanghai Dialect as an Example
Authors: Chen Hanyu
Published: March 2023

Concerns about the vitality of the heritage language have been rising in society. In more than 20 years of observation, researchers found that the 2001 Law of Common Language and Writing led to the marginalization of dialects in social life. This essay is mainly based on a large number of literature reviews, news and existing research, standing in the macro perspective of pedagogy, and analyzes the protection and teaching of the Shanghai dialect as a heritage language in the Yangtze River Delta, especially in Shanghai. Meanwhile, a case study is conducted to analyze the background, measures and significance of the Shanghai dialect protection movement. Therefore, the analysis of this essay was carried out based on China's current education system before reasonable suggestions were made to all relevant participants, mainly on the improvement of their actions and attitudes. The future planning of the Shanghai dialect will be a dynamic process, which needs to go through a repetitive process of proposal practice modification to respond to the changing reality.
A Systematic Analysis of the Causes of Physics Learning Difficulties among Chinese Secondary School Students
Authors: Ma Yanan
Published: March 2023

Current international research on learning difficulties in science has been more comprehensive, with researchers analysing classroom teaching, subject characteristics and individual student factors. Within China, physics in science is taught as a separate subject in junior and senior secondary schools, which is often found difficult for students to master. Researchers in China have examined the causes of physics learning difficulties in a variety of ways, each from a different perspective, but these studies tend to dig deeper from a single perspective and lack a systematic generalisation of the causes of students' learning difficulties in physics. This paper uses a literature analysis approach based on ecosystem theory and systematically summarises the influential studies on the factors affecting physics learning difficulties in China. The study classifies the factors affecting physics learning difficulties into internal factors and external factors in the hope of helping teachers with diagnosing physics learning difficulties among secondary school students. This paper finds that learning difficulties in physics for secondary school students exist at the individual, school, home, subject and socio-cultural levels and that teachers have limited influence. Teachers need to enhance their ability to diagnose physics learning difficulties and improve their subject-teaching ability. It also proved that home-school cooperation needs to be enhanced.
Prayer Time Reminder and Mobile Phone Jammer for Mosque Based on Raspberry PI
Authors: Nurwicaksana Wahyu Aulia , Riskitasari Septyana , Adhisuwignjo Supriatna
Published: March 2023

Prayer time reminder based on raspberry pi with LCD TV as a display that not only can be set according to locationbased on GPS coordinates, but also contain information in the form of picture, text, video, etc. This is much betterthan just simple words placed on dot matrix or running text as it is today. Display design can be fully customized asper needed, it can be accommodated because the system based on raspberry pi mini PC. The method used for thisresearch is by conducting literature studies and field studies that are necessary for system design and manufacture.This system had several components involve include raspberry pi, signal jammer, air freshner, and LCD TV. Thisprayer time reminder display information of mosque name, address, clock, prayer schedule based on GPS coordinate,event photo, announcement, video, and running text as per installed program. This reminder also act as mobile phonesignal jammer, so there is no interference based on mobile phone signal. Jammer activated when entered prayer timeup to at least 30 minutes later. It function can also be added as air freshner which will spray as long as the jammer isactivated at 10 minute intervals.
Financial Technology (fintech) a New Transaction in Future
Authors: Wulan Vieqi Rakhma
Published: March 2023

The development of technology is so rapidly. The existance of technology is utilized for various business field.Telecommunication, book, film, transportation and now financial industry compete to take advantage of technology.Financial industry has long played in technology, often called with FinTech (Financial Technology). Credit cards,ATM, Bank mainframe computer are some of their products that utilize technology. The development of FinTech makea lot of start-Up glance at this field. In Indonesia, FinTech also quite developed. This research is focuse on how thepractise of FinTech in Indonesia. Where Indonesia still needs some preparation such as the mature of technology,resources, users and regulation.
Application of Cloud Computing for The Development of Knowledge Management System Web Based Network
Authors: Chusnul Astri Ch  , Purbaningtyas Rani , Prasetyo R Dimas
Published: March 2023

Developing Knowledge Management System using cloud computing is a concept that integrates knowledgemanagement (KM), with the process of finding, selecting, seeking, organizing and presenting data or information.KMS Network is a system that provides web-based content (contains data, information, & knowledge) as an increasein knowledge mastery, to help the needs of users or users who have difficulty when looking for sources of information.Kms is developed through the adoption of cloud computing (CC) technology, which has large amounts of data storageusing web servers or cloud servers online. In the research application of cloud computing for the development ofknowledge management system web-based network, has a speed in accessing the average article data 0.7833 seconds/ page, with the average page load memory 2.0 MB, search articles using the method "Sequential Search Or SequentialSearching ".
Decision Supplier Package System Using Fuzzy Subjective and Objective Integrated Weights Method (case Study: PT Garudafood Putra Putri Jaya)
Authors: Irawan Muhammad Saiful , Zainal Rifki Fahrial , Alim Syariful
Published: March 2023

The purchasing department is the part that plays an important and influential role in a company even can be said mostof the business process comes from this section. Because of its nature as a procurement of goods and services then oneof its duties and responsibilities is to choose suppliers of procurement of goods and services for production operationalprocesses within the company. In this case PT Garudafood Putra - Putri Jaya often have difficulty in determining thebest product packaging supplier because of the performance instability of each supplier. For that the company needsa system whose purpose is to help decide the best supplier determination. Decision support system is a computer-basedinformation system that generates various decision alternatives to assist management in handling various structuredor unstructured problems using data or models. There are many methods used in a decision support system such asFuzzy Subjective And Objective Integrated Weights. Fuzzy can solve the problem of uncertainty in determining theweight of each supplier's criteria. The result of the implementation of this decision support system resulted in thesupplier of Mandhara Adhitama Utama as the best supplier. Where the results of calculations with Fuzzy SubjectiveAnd Objective Integrated Weights this supplier obtained the highest value with the number 1.742.
Forecasting for Book Classified on A Library by Using Single Exponential Smoothing (case Study : Library of Bhayangkara Surabaya University)
Authors: A.P Deddy Gita , Zainal Rifki Fahrial , Hidayat M Mahaputra
Published: March 2023

To facilitate the addition of library collections of UBHARA libraries, in this study will provide a solution to fieldmanuals based on forecasting using MSE single exponential smoothing formula errors and RMSE errors. Data isforecast from 2012 to 2016, with the value of each field of economics, law, socio-political, and engineering. The datawill be processed through the pre-processing process before preparing the data to be forecast. In the calculationexample, the program uses data in 2012 and 2015, alpha value = 0.1 and is calculated from month 1 to month to 3months so it is estimated to 4. The result of the data obtained is borrowed book which has the highest data isEconomy. Because in every data the number of loan books looks more dominant economic data. In 2015 thecalculation shows the value of MSE error and RMSE error. The error value to determine whether the errorforecasting results is better or not. For 2015 forecast data to be displayed at the value of the error.
Augmented Reality as Education by Using Animal Announcer Based on Android Application
Authors: Ledyana  , Arizal Arif , Adityo R Dimas
Published: March 2023

The method used in making applications Introduction This animal is the study of literature, experiment, samplingand interviews. Making animal begins with collecting data that will be created as a model using Blender softwareAugmented Reality application design using Unity software by designing a marker made using Photoshop, soundedited using Adobe Audition and animal models that have been made. The features available in this app are severaltypes of animals that are displayed in 3D with sound and animation using Augmented Reality technology. Results oftesting applications Introduction Pets can run on a variety of Android mobile devices. The normal distance that canbe detected by the camera is 6cm up to 4m with marker size 20 x 22cm. Based on that test the accuracy of readingthe average marker is 00:12 seconds every marker. Accuracy of reading marker is also given light. The lighter themarker the clearer and faster the marker. There are still many shortcomings that can be developed, such as animalsreproduce 3D objects and create animations that better, so that the application more attractive, interactive, and easyto understand.
Classification of Scout Skills Using Naive Bayes Algorithm
Authors: Pramudhika Rizky Yudha , Zainal Rifki Fahrial , Purbaningtyas Rani
Published: March 2023

In the development of skills and skills of students Scout often finds the problem is the difficulty of developing theskills of learners caused by mistakes in determining the skills dominated by learners. How you can do it to solve thatproblem is by making a class determination or classification of areas of expertise controlled by the learner. Thisstudy aims to build a system to determine the inner class Scout skills area using Naïve Bayes algorithm for ScoutCoach to determine the area of expertise of learners. So Scout Coach can develop the skills of learners inaccordance with the areas of expertise that are owned optimally. Assessment criteria used are the values of GeneralKnowledge, Scout Knowledge, Sign Language (Password, Morse, Semaphore), Node Bond, Pioneering, and HastaKarya. All assessment criteria are used numerically. The resulting classification is the students who are included inthe class Intelligence (Intelligence), Physical (Strength), or Creativity. The results of this study is a program that canperform calculations to determine skill class scout field. The Scouting Skill Classification Program using the NaïveBayes Algorithm has been tested and its accuracy or accuracy is 100%.
Prediction for Total Number of Lab Participants by Fuzzy Time Series Method (case Study: Information Engineering of Bhayangkara Surabaya University )
Authors: Mahendra Febriardi , Zainal Rifki Fahrial , Alim Syariful
Published: March 2023

Forecasting is a way to estimate a future value with using past data. One method of forecasting is the fuzzy methodtime series. The purpose of this study is to predict the number of students practitioners follow Department ofInformatics University Bhayangkara Surabaya by using fuzzy method time series. The created app can be used topredict the next 1 year. If the actual data in the year predicted inputted, the application can predict the next yearagain. The prediction error rate is calculated using Mean Absolute Percentage Error (MAPE). From the test resultsin predicting the number of students followers 7 courses Practicum Informatics Engineering Bhayangkara Universityof Surabaya in 2010-2012 using the method proposed in this thesis for practicum PTI obtained MAPE value of20.50%, Practical ANP obtained MAPE value of 0.50%, Network Computer practicum obtained MAPE value at8.50%, practicum Database obtained MAPE value of 0.50%,Managemen Network Computer practicum obtainedMAPE value of 14.50%, practicum PKG obtained MAPE value of 0.84% and practicum PBO obtained MAPE valueof 0.21%. Based on the results of testing the data it can be concluded that the fuzzy time series method when used onmore data many, it will get the accuracy of better and precise forecasting values.
Real Time Fishpond Monitoring to Optimize a Nursery Freshwater with Distribution Database
Authors: Kridoyono Agung , Sidqon Mochamad
Published: March 2023

The aim of my research is to optimize a nursery freshwater by fishpond monitoring that can be displayed on desktopbase so the behavior of fish with fishpond condition can be observed how suitable fish against fishpond where anursery is affected by the place , the media and the condition. The data were drawn on monitoring is temperatureand humidity by more than one sensor taken using one microprocessor. Using temperature sensor to get datacondition in fishpond, data from fishpond is processed by microcontroller as an input and sent to desktop to displaythen distributed on database for data record in real time asynchronous serial communication between PC andmicrocontroller. Getting ideal condition is the goal of this device, because real time data communication ifsomething wrong or not suitable on media, the fishpond condition can be handled directly by fitting the volume offish or the condition of water. 28-300C is ideal temperature condition for seedling that influence the appetite of thefish. By using realtime database distribution methodology, The influence of fish quantity and nursery media can beobserved and fish behavioral can be recorded every season.
Decision Support System for Selecting Tourism Object in Surabaya City Using Simple Additive Weighting Based on Android
Authors: Merditawati Putri Agustin , Hidayat M Mahaputra , Tias Rahmawati Febrifyaning
Published: March 2023

In this final project will discuss the implementation of the Decision Support System Attractions in Surabaya usingSimple Additive weighting. Issues to be taken is to obtain the best results of 50 attractions in Surabaya based on thelocation of the user to take advantage of the Android-based operating system, to make it more easier for users toaccess these applications. To obtain the value of the distance criterion, the application is using the formulaHaversine. The results of the election decision support system application attractions in Surabaya using SimpleAdditive weighting method is the obtainment of the highest values of attractions based on user location with weightsto each criterion especially distance criterion which has a weight of 0.3.
Inventory Management System Using QR Code on Android a Case Study in Computer Engineering Department
Authors: Rizqi Renza Ilhami , Rohma Nurul Azizah , Nimkerdphol Dr. Kittiwan
Published: March 2023

Inventory management is the practice overseeing and controlling of the ordering, storage and use of components thata company uses in the production of the items it sells. Inventory management has been used as a decision-making incountless firms and has been extensively studied in the academic and corporate spheres. The purposes of inventorysystem are to know the details of the items including code, name, condition, location of items and the year ofpurchase. It is also to make easy for manage the item. Usually, creating inventory list can be done two ways eithermanually or computerized. Manually inventorying is usually written data with handwriting on the data books. It hasmany disadvantages. One of them is when the admin staff input the data, it is prone to be typographical errors. Herein the Computer Engineering Department in Rajamangala University of Technology Thanyaburi (RMUTT) theinventory management still using manual process for inventorying and collect the data of an item. This inventorymanagement system will help the process inventorying using web-based application and also mobile application forcollecting data information. Quick Response (QR) Code technology as a unique tagging solution for each item thatstore information from the server through the local network. The implementation of this system for InventoryManagement System could be a solution for manage inventorying process and stored information of inventorythrough QR Code.
Recurrent Neural Network (RNN) Based Bearing Fault Classification of Induction Motor Employed in Home Water Pump System
Authors: Purwahyudi Bambang
Published: March 2023

In home appliances, the water pump is used to supply the water from a room to the other rooms. Defects of the waterpump are not distributing the water, inner stator winding short circuit, and bearing failure. In this paper, bearingfault detection of induction motor (IM) used in home water pump system is developed by using recurrent neuralnetwork (RNN) method. It is difficult to detect fault bearing of IM using a mathematical model. So that, a recurrentneural network (RNN) method is applied to solves this problem. These bearing faults classifications are based on IMstator current waveform. Bearing fault types are all normal (AN), front fault (FF), rear fault (RF), and all fault (AF).While, the detection process consist of three step. They are taking bearing fault data, features extraction, and RNNfault detection. The bearing fault data is taken from the stator currents of IM by using soundcard oscilloscopesoftware. Second step is features extraction process to obtain more bearing fault signs. In this step, stator currentsof IM is converted from time domain into frequency domain by using Fast Fourier Transform (FFT). Last stage isRNN model to clasify the bearing fault of IM. The effectiveness of proposed RNN method is clarified by using fourbearing fault types.