scholarly journals The Application Of K-Means Algorithm For LQ45 Index on Indonesia Stock Exchange

2016 ◽  
Vol 7 (2) ◽  
pp. 151
Author(s):  
A. Raharto Condrobimo ◽  
Albert V. Dian Sano ◽  
Hendro Nindito
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Stock Exchange ◽  
Decision Making Process ◽  
Exchange Cluster ◽  
Stock Investment ◽  
Speed Up

The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.

scholarly journals Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity?

2018 ◽  
Vol 12 (2) ◽  
pp. 137 ◽  
Author(s):  
Flavio Tangianu ◽  
Paola Gnerre ◽  
Fabrizio Colombo ◽  
Roberto Frediani ◽  
Giuliano Pinna ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Decision Making ◽  
Cluster Analysis ◽  
Adverse Events ◽  
Decision Making Process ◽  
High Similarity ◽  
High Prevalence ◽  
Clinical Problems ◽  
Index Disease ◽  
Improve Health

Internal medicine patients are mostly elderly with multiple comorbidities, usually chronic. The high prevalence of comorbidity and multimorbidity has a significant impact on both positive responses to treatment and the occurrence of adverse events. Clustering is the process of nosography grouping into meaningful associations with some index disease, so that the objects within a cluster have high similarity in comparison with one another. In the decision-making process it is imperative that, in addition to understanding the immediate clinical problems, we are able to explicit all the contextual factors that have to be taken into account for the best outcome of care. Cluster analysis could be leveraged in developing better interventions targeted to improve health outcomes in subgroups of patients.

DEVELOPMENT OF MODELS FOR DIAGNOSTIC DIABETES BASED ON FUZZY LOGIC METODS

2021 ◽  
pp. 90-95
Author(s):  
Евгений Николаевич Коровин ◽  
Екатерина Ивановна Новикова ◽  
Олег Валерьевич Родионов
Keyword(s):  
Mathematical Modeling ◽  
Decision Making ◽  
Information Technology ◽  
Fuzzy Logic ◽  
Human Body ◽  
Patient Information ◽  
Decision Making Process ◽  
Speed Up ◽  
Definition Of

В статье рассматриваются разработки методов интеллектуальной поддержки процесса диагностики сахарного диабета, а также определение его типа. В последние годы количество людей, страдающих данным заболеванием, неуклонно растет, а без своевременной диагностики эта патология может нанести огромный вред организму человека. Сахарный диабет 1 типа опасен тем, что в основном возникает у людей молодого возраста. Оперативное обнаружение диабета, а также определение его типа, поможет не только избежать возможных осложнений, но и в некоторых случаях предотвратить смерть пациента. Информационные технологии все чаще используются в различных сферах деятельности для разработки новых или совершенствования существующих методов обработки данных, особенно это можно заметить в сфере медицины. В настоящее время врач самостоятельно ставит диагноз, основываясь на результатах различных анализов, однако, для ускорения процесса принятия решения, можно воспользоваться методами математического моделирования, а именно: моделями диагностики диабета на основе нечеткой логики. Для наибольшего удобства данный способ распознавания заболевания впоследствии можно реализовать в информационно-программное обеспечение, которое сможет еще больше увеличить эффективность и скорость распознавания патологии The article discusses the issues of the incidence of diabetes in the population, in particular, the definition of its type. In recent years, the number of people suffering from this disease has been steadily growing, and without timely diagnosis, this pathology can cause enormous harm to the human body. Prompt detection of diabetes, as well as determination of its type, will help not only avoid possible complications, but also in some cases prevent the death of the patient. Information technology is increasingly being used in various fields of activity to develop new or improve existing methods of data processing, especially in the field of medicine. Currently, the doctor independently makes a diagnosis based on the results of various analyzes, however, to speed up the decision-making process, you can use the methods of mathematical modeling, namely, models of diabetes diagnostics based on fuzzy logic. For the greatest convenience, this method of disease recognition can subsequently be implemented in information software, which can further increase the efficiency and speed of pathology recognition

A Product Feature Prioritization-Based Segmentation Model of Consumer Market for Health Drinks

2019 ◽  
Vol 10 (2) ◽  
pp. 70-83
Author(s):  
Chandan Parsad ◽  
Chandra Prakash Chandra ◽  
Shekhar Suman
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Country Of Origin ◽  
The Internet ◽  
Decision Making Process ◽  
Relative Importance ◽  
Consumer Decision Making ◽  
Consumer Market ◽  
Consumer Decision

This study sets out to identify the various factors of a health drink product that affects the consumer decision-making process. It aims to determine the relative importance connected to multiple aspects of health drink beverages, such as brand, nutrition content, taste, muscle building, brain boosting, price, ingredients, and country of origin. The paper also aims to identify consumer segments by the relative importance consumers give to various attributes of health drinks. Through examining the literature, the researchers identified various attributes of health drinks, which they analyzed empirically using a choice-based conjoint survey conducted with the help of the internet-based software 1000minds. Cluster analysis was also done to identify different consumer segments. The study identified two consumer segments: brand conscious and value conscious. As the name indicates, the brand-conscious segment gives more importance to a trusted brand, followed by nutrition content and price.

scholarly journals Applying cluster analysis to ranking the vulnerabilities of railway influence territory

2019 ◽  
Vol 265 ◽  
pp. 02018
Author(s):  
Viktor Katin ◽  
Vladimir Kosygin ◽  
Midkhat Akhtiamov ◽  
Andrey Lutsenko
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Single Point ◽  
Rail Transport ◽  
Accurate Information ◽  
Decision Making Process ◽  
Cultural Significance ◽  
Ecological Economic ◽  
Vulnerability Ranking

The article considers the proprietary method of ranking the territory of the railway influence, based on the use of vulnerability matrices and application of cluster analysis, which allows optimizing the decision-making process for responding to emergencies associated with rail transport. The "point" ranking of vulnerabilities in the zone of railway influence was used for more accurate information on the events with applying the identity matrices of vulnerabilities. The partition cell is taken as a single "point". The method is based on the ranking of ecological, economic, environmental, bioresource and cultural significance of the territory by means of defining identical matrices of vulnerabilities that describe each point of the event. The partition cells were grouped into three clusters: moderately vulnerable territory, highly vulnerable territory and extremely vulnerable territory. The result of using the method was the compiling of vulnerability ranking maps.

scholarly journals Manipulation of Financial Statements Through the Use of Creative Accounting. Case of Romanian Companies

2020 ◽  
Vol 30 (3) ◽  
pp. 90-107
Author(s):  
Ioana-Lavinia Safta ◽  
Monica Violeta Achim ◽  
Sorin Nicolae Borlea
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Financial Statements ◽  
Financial Information ◽  
Decision Making Process ◽  
Creative Accounting ◽  
Red Flag

AbstractThe manipulation of the information presented through financial statements could represent a significant red flag for suspected fraud. In our paper, we investigated the extent to which the Romanian companies resort to manipulation of information data presented through the reported annual financial statements. For this purpose, we used a group consisting of 62 non-financial companies listed on the Bucharest Stock Exchange for the analyzed period 2017-2018. The results of our study show that a majority percentage of the Romanian companies (approx. 84%) resort to manipulation of information provided through financial statements. Following the analysis carried out by activity fields, the results show that the companies activating in the fields of tourism, constructions, trade and transport resort to the manipulation of financial statements in the percent of 100%, followed by the companies activating in the field of production (86%) and services (50%). Our results are extremely useful to the users of financial information who must acknowledge the risks that they are exposed to in their decision-making process.

scholarly journals Perancangan Aplikasi Perangkingan Perguruan Tinggi Menggunakan Fuzzy Simple Additive Weighting (SAW) (Studi Kasus: 25 PT Wilayah Kopertis XIII Provinsi Aceh)

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Rizaldi Akbar
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
First Order ◽  
College Ranking ◽  
Aceh Province ◽  
Fuzzy Madm ◽  
Speed Up ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Support Decision Making

a b s t r a c t This research aims to make a ranking College in Aceh and its applications processing data.The College in question is 25 (twenty five) in the region XIII Kopertis Aceh province using Simple Additive Weighting (SAW) is one method that can be used to solve the problem of Fuzzy MADM. Application of decision support system (DSS) this can take account of all criteria that support decision making in order to help speed up and facilitate the decision-making process and do the rangking in particular. Based on the results of the study it can be concluded then the Fuzzy method of Multi Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) can provide information ranking College, where the final results will be calculated the value of preferences (Vi) the highest of each alternative.The highest value was made the first priority as the best college. The end result of the application of the method of College ranking in the form of the SAW with the first order at Serambi Mekkah of University with the value of 0.89 and a low of STMIK Abulyatama value of 0.38. a b s t r a k Penelitian ini bertujuan untuk membuat sebuah perangkingan perguruan tinggi di Aceh beserta aplikasi pengolahan datanya. Perguruan tinggi yang dimaksudkan adalah 25 (dua puluh lima) PTS di Wilayah Kopertis Wilayah XIII Provinsi Aceh dengan menggunakan Metode Simple Additive Weighting (SAW) merupakan salah satu metode yang dapat digunakan untuk menyelesaikan masalah Fuzzy MADM. Aplikasi Sistem Pendukung Keputusan (SPK) ini dapat memperhitungkan segala kriteria yang mendukung pengambilan keputusan guna membantu mempercepat dan mempermudah proses pengambilan keputusan dan melakukan perangkingan khususnya. Berdasarkan hasil penelitian maka dapat disimpulkan Metode Fuzzy Multi Attribute Decision Making (FMADM) dan Simple Additive Weighting (SAW) dapat memberikan informasi perangkingan perguruan tinggi, dimana hasil akhir akan dihitung nilai preferensi (Vi) tertinggi dari masing-masing alternatif. Nilai tertinggi dijadikan prioritas pertama sebagai perguruan tinggi terbaik. Hasil akhir dari penerapan metode SAW berupa perangkingan perguruan tinggi dengan urutan pertama pada Universitas Serambi Mekkah dengan nilai 0.89 dan terendah STMIK Abulyatama dengan nilai 0.38.

scholarly journals THE BUSINESS ASSISTANT SERVICE AS ONE OF THE PROMISING AREAS FOR THE ADOPTION OF AI TECHNOLOGIES IN THE ENTERPRISE

2020 ◽  
Vol 21 (2) ◽  
pp. 588-597
Author(s):  
Tetiana Ivashchenko ◽  
Igor Chornodid ◽  
Andrii Ivashchenko
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Business Decision ◽  
Empirical Modelling ◽  
Optimal Decisions ◽  
Doing Business ◽  
Analysis And Synthesis ◽  
Speed Up ◽  
Types Of Information ◽  
Modern Solution

In modern conditions, entrepreneurs are faced with the acute problem of analysing of numerous information, quickly responding to a constantly changing economic situation, and making the most optimal decisions. In this regard, the development of a Business Assistant service (BAS) is a very relevant since it is a modern solution that can significantly simplify and improve the work of enterprises. The main goal of the research is on the basis of AI technologies to elaborate the Business Assistant service, that would speed up, optimize and simplify the decision-making process for the entrepreneur and can be used by many enterprises both when starting a business and when operating it. The main tasks for implementing the goal are: to analyze the scientific literature regarding the possibilities of using AI technologies in business, to identify the factors that mainly influence the entrepreneur’s choice regarding the sphere of activity, as well as the types of information most useful for doing business, to analyze and collect data for the model design, to develop a prototype of the BAS and test its functionality in practice. The research methods are: the theoretical – analysis and synthesis, abstraction method, the empirical – modelling (clustering, classification, logistic regression) and experimental method.The investigation results are: a prototype of the BAS was created, its effectiveness – ability of delivering useful recommendations and improving the business decision-making process for the entrepreneur has been proven experimentally using actual market data. The service can be effectively used by small and medium-sized enterprises in various industries and regions, provided that there is an access to the necessary data. The main risks associated with its implementation and possible ways of their reduction were considered.

scholarly journals ANALISIS FUNDAMENTAL DALAM PENGAMBILAN KEPUTUSAN INVESTASI SAHAM PERUSAHAAN PERKEBUNAN PERIODE 2008-2015

2017 ◽  
Vol 2 (3) ◽  
pp. 40-48
Author(s):  
Irma Dwi Pratiwi ◽  
Nugraha Nugraha
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Investment Decision ◽  
Total Sample ◽  
Fundamental Analysis ◽  
Stock Investment ◽  
Investment Decision Making ◽  
Analysis Technique ◽  
The Difference

Objective – For fundamental analysis and to know the description of Earning Per Share and Price Earning Ratio as a basis for consideration in decision making of stock investment in plantations sub-sector period 2008-2015.Design/methodology/approach – This type of research is descriptive method with a total sample of 7 metal and allied sub-sector companies listed on the Indonesian Stock Exchange. The analysis technique used is fundamental analysis with EPS and PER approaches. The design of this research is the method of time series design with a period of research for 8 years.Findings – Based on the results of fundamental analysis with EPS and PER approach can effectively assist investors in assesing the company’s stock on making decision of stock investment in plantations sub sector.Originality/value – The difference in this study lies in the object of research, study time, measuring tools, literature used, the theory used and the results of research. Keywords: Fundamental analysis,  Investment Decision  Making,  Stocks,  Earning Per Share (EPS), Price Earning Ratio (PER), Intrinsic ValueArticle Type: Case Study

scholarly journals An Intrinsic Entropy Model for Exchange-Traded Securities

Entropy ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. 1173 ◽  
Author(s):  
Claudiu Vințe ◽  
Ion Smeureanu ◽  
Titus-Felix Furtună ◽  
Marcel Ausloos
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Random Variable ◽  
Algorithmic Trading ◽  
Decision Making Process ◽  
Test Results ◽  
Exogenous Factor ◽  
Entropy Model ◽  
Stock Portfolio ◽  
Individual Security

This paper introduces an intrinsic entropy model which can be employed as an indicator for gauging investors’ interest in a given exchange-traded security, along with the state of the overall market corroborated by individual security trading data. Although the syntagma of intrinsic entropy might sound somehow pleonastic, since entropy itself characterizes the fundamentals of a system, we would like to make a clear distinction between entropy models based on the values that a random variable may take, and the model that we propose, which employs actual stock exchange trading data. The model that we propose for the intrinsic entropy does not include any exogenous factor that could influence the level of entropy. The intrinsic entropy signals if the market is either inclined to buy the security or rather to sell it. We further explore the usage of the intrinsic entropy model for algorithmic trading, in order to demonstrate the value of our model in assisting investors’ intraday stock portfolio selection, along with timely generated signals for supporting the buy/sell decision-making process. The test results provide empirical evidence that the proposed intrinsic entropy model can be used as an indicator for evaluating the direction and the intensity of intraday trading activity of an exchange-traded security. The data employed for testing consisted of historical intraday transactions executed on The Bucharest Stock Exchange (BVB).

Who Will Be Next?

2013 ◽  
pp. 241-256
Author(s):  
Elena Khoury ◽  
Maria C. Khoury
Keyword(s):  
Decision Making ◽  
Family Business ◽  
Succession Planning ◽  
Second Generation ◽  
Stock Exchange ◽  
Business Students ◽  
Decision Makers ◽  
Decision Making Process ◽  
Small Family ◽  
A Company

This case is about a family business, Taybeh Brewing Company (TBC), with strategic and succession planning issues including the need to prepare the second generation of decision makers to take over. It covers the centralization of control and issues that arise when it is time for a founder of a company to relinquish control or share in the decision making process. It also deals with the lack of interest by the second generation to continue what others initiated as a family legacy. The business has been approached to become listed on the stock exchange, but the owners have not made a decision. By reading about the small family business, students can learn about business structure that is proper for a company’s future, the pitfalls of founder’s syndrome, and succession planning, which according to Muna and Khoury (2012) becomes imperative for the first and second generations to take seriously.

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