International Journal of Mathematics, Statistics, and Computing最新文献

Analysis and Visualization of Advertising Sales Data Using Python Software Through an Internship Program 通过实习计划使用 Python 软件分析和可视化广告销售数据

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-05-05 DOI: 10.46336/ijmsc.v2i2.76

Muhammad Naufal Ardiansyah, Kalfin

{"title":"Analysis and Visualization of Advertising Sales Data Using Python Software Through an Internship Program","authors":"Muhammad Naufal Ardiansyah, Kalfin","doi":"10.46336/ijmsc.v2i2.76","DOIUrl":"https://doi.org/10.46336/ijmsc.v2i2.76","url":null,"abstract":"This research discusses the use of data visualization as a tool for analyzing and presenting information effectively. The main goal of this research is visualization that allows better understanding of complex data. In this context, research explores various data visualization techniques, including the use of bar charts, correlation heatmaps, and interactive technology to present information intuitively. In improving decision-making abilities, identifying patterns or trends, and exploring relationships and insights contained in large and heterogeneous datasets. The research methodology includes comparative analysis of various visualization methods, user experiments, and the application of new techniques to evaluate the effectiveness and usefulness of data visualization in advertising video sales data at PT XXX. Based on the research results, it was found that data visualization involves presenting data information in graphic or image form to facilitate understanding. This helps in explaining the facts and determining the steps that need to be taken. The research results are expected to provide in-depth insight into the development of data visualization techniques. The results of this data visualization can be widely applied in various fields, especially creative, marketing and sales management.","PeriodicalId":517271,"journal":{"name":"International Journal of Mathematics, Statistics, and Computing","volume":"308 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141012232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of Weights in Weighted Least Square Method For Handling Heteroscedasticity on Multiple Regression Model 加权最小二乘法处理多元回归模型异方差的权重比较

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-05-05 DOI: 10.46336/ijmsc.v2i2.93

F. Virgantari, Maya Widyastiti, Natalia Ir Seno

{"title":"Comparison of Weights in Weighted Least Square Method For Handling Heteroscedasticity on Multiple Regression Model","authors":"F. Virgantari, Maya Widyastiti, Natalia Ir Seno","doi":"10.46336/ijmsc.v2i2.93","DOIUrl":"https://doi.org/10.46336/ijmsc.v2i2.93","url":null,"abstract":"Regression analysis is the most popular and commonly used to determine causality between two or more variables. In regression analysis there are several assumptions that must be held, so that the property of the best linear unbiased estimator (BLUE) is still guaranteed. In fact, we often found violations of the assumptions. One of them was violations of the homoscedasticity or occurs heteroscedasticity. The impact of heteroscedasticity in the regression model is that the ordinary least square (OLS) estimator no longer has a minimum variance although still linear and unbiased. To handle this, weighted least square (WLS) regression is used instead, which giving weights on the observations. But the problem often encountered is choosing which the best weight in WLS method. This paper aimed to compare and determine the best weight among 1/X, 1/ , 1/Y and 1/s in multiple regression model. Human development index factors data, which were obtained from the Indonesian Central Bureau of Statistics, were used. The results showed that the best weight on human development index data was 1/s. The coefficient of determination was 98.7% indicating that the model was very good.","PeriodicalId":517271,"journal":{"name":"International Journal of Mathematics, Statistics, and Computing","volume":"289 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141012629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis Testing Black Box and White Box on Application To-Do List Based Web 基于待办事项清单的网络应用程序黑盒和白盒分析测试

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-05-05 DOI: 10.46336/ijmsc.v2i2.95

Dede Irman Pirdaus, R. A. Hidayana

引用次数: 0

Determination of Insurance Premium Rates with Aggregation Claims at BPJS with Exponential and Gamma Distributions 用指数分布和伽马分布确定 BPJS 的聚合索赔保险费率

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-05-05 DOI: 10.46336/ijmsc.v2i2.103

Khalilah Razanah Zakirah, Puspa Dwi Ayu Banowati

{"title":"Determination of Insurance Premium Rates with Aggregation Claims at BPJS with Exponential and Gamma Distributions","authors":"Khalilah Razanah Zakirah, Puspa Dwi Ayu Banowati","doi":"10.46336/ijmsc.v2i2.103","DOIUrl":"https://doi.org/10.46336/ijmsc.v2i2.103","url":null,"abstract":"Badan Penyelenggara Jaminan Sosial (BPJS) is a legal entity that has been provided by the government for the community with the aim of providing protection for all workers in Indonesia from certain socio-economic risks. National development, marked by planned and continuous strides, embodies a commitment to engage all societal, national, and state levels in fostering progress. Encompassing political, economic, socio-cultural, and defense and security realms, the development is meticulously designed to be comprehensive, targeted, integrated, gradual, and sustainable. The overarching objective is to catalyze an augmentation of national capabilities, align the standard of living for the Indonesian people with developed nations, and elevate overall welfare. To establish premium rates, a method involves multiplying the conditional expected value of claim frequency by the size of the claim, considering observed risk characteristics. A claim, in this context, constitutes a formal request to the insurance company, seeking payment in accordance with the terms of the agreement. The primary objective of this study is to establish the insurance premium rates applicable to policyholders (the insured) through the estimation of parameters in the distribution governing aggregate claims. This involves the distribution of both the number of claims and the size of the claims, and the estimation is performed using the moment method. Premium computations are executed based on two key principles: the pure premium principle and the expected value principle. This research produces the conclusion that the Poisson-Gamma aggregate claims distribution has a premium amount of 3.61 times greater than Poisson-Exponential due to the application of the anticipated value principle, namely IDR 4,403,542.94 per month and IDR 1,219,878.45 per month, respectively. \u0000 ","PeriodicalId":517271,"journal":{"name":"International Journal of Mathematics, Statistics, and Computing","volume":"311 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141012522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of White Box Testing by Utilizing Branching and Repeating Structures in Java Programs Using Base Path 使用基本路径在 Java 程序中利用分支和重复结构优化白盒测试

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-05-05 DOI: 10.46336/ijmsc.v2i2.98

Kalfin Kalfin, Riza Andrian Ibrahim, Grida Sakti Laksito

引用次数: 0

Black Box Testing on Website-Based Guestbook Registration Applications 基于网站的留言簿注册应用程序的黑盒测试

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-05-03 DOI: 10.46336/ijmsc.v2i2.96

Yasir Salih, Rifki Saefullah

引用次数: 0

Multiobjective Optimization of Stock Portofolio 股票组合的多目标优化

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-02-01 DOI: 10.46336/ijmsc.v2i1.65

Rini Cahyandari, Susan Kamelia, Volodymyr Rusyn

引用次数: 0

Factors Affecting Cases of Dengue Hemorrhagic Fever in Riau Province 影响廖内省登革出血热病例的因素

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-02-01 DOI: 10.46336/ijmsc.v2i1.66

Selvi Fitriani, Haposan Sirait, Nurnisaa Binti, Abdullah Suhaimi

{"title":"Factors Affecting Cases of Dengue Hemorrhagic Fever in Riau Province","authors":"Selvi Fitriani, Haposan Sirait, Nurnisaa Binti, Abdullah Suhaimi","doi":"10.46336/ijmsc.v2i1.66","DOIUrl":"https://doi.org/10.46336/ijmsc.v2i1.66","url":null,"abstract":"One infectious disease that has a high morbidity and mortality rate is Dengue Hemorrhagic Fever. Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus transmitted through the bite of the Aedes aegypti mosquito. In general, the habitat of Aedes mosquitoes is in areas with tropical climates, high rainfall, and hot and humid temperatures. The number of patients and the area of distribution are increasing along with increasing mobility and population density. Improper sanitation can also be a cause of DHF. In Riau province, dengue cases in 2022 continue to increase compared to 2021, with the most cases in Pekanbaru City. This study was conducted to see the factors that influence dengue cases in Riau Province. Using multiple linear regression can measure what factors affect the number of dengue cases. From the results, it was found that population density and sanitation had a significant effect on dengue cases in Riau Province. And judging from the coefficient of determination, it can be interpreted that the variables of population density (X1) and sanitation (X2) simultaneously affect the variable of dengue cases (Y) by 77.8%. While the remaining 22.2% was influenced by other variables that were not studied in this study","PeriodicalId":517271,"journal":{"name":"International Journal of Mathematics, Statistics, and Computing","volume":"206 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139897003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of the Compound Interest Model in Analyzing Long-Term Investments on Nvdia Company Stock 复利模型在分析 Nvdia 公司股票长期投资中的应用

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-02-01 DOI: 10.46336/ijmsc.v2i1.62

Indri Sanita, Galen Ananta, Grida Saktian Laksito

{"title":"Application of the Compound Interest Model in Analyzing Long-Term Investments on Nvdia Company Stock","authors":"Indri Sanita, Galen Ananta, Grida Saktian Laksito","doi":"10.46336/ijmsc.v2i1.62","DOIUrl":"https://doi.org/10.46336/ijmsc.v2i1.62","url":null,"abstract":"Long-term investment is a strategic decision that requires careful planning and in-depth analysis. One approach to analyze the potential returns from long-term investments is through the application of the compound interest model. This model considers the accumulation of interest on both the principal amount and the previously earned interest, providing a more realistic picture of investment growth over time.This research aims to explore how the application of the compound interest model can enhance the analysis of long-term investments. The analysis of these variables provides a comprehensive picture of the dynamics of investment growth and opens up opportunities for more informed investment decision-making. This research emphasizes the importance of a thorough understanding of the key variables in the compound interest model to enhance the accuracy of investment decisions.The findings of this research are expected to offer practical guidance for investors and financial practitioners in managing their portfolios more intelligently and measurably. These findings make a significant contribution to the development of more effective long-term investment strategies, thereby enhancing portfolio performance and overall investment outcomes.","PeriodicalId":517271,"journal":{"name":"International Journal of Mathematics, Statistics, and Computing","volume":"12 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139897462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing the LQ45 Stock portfolio using Piecewise Linear Function: A Case Study from an Investor's Point of View 使用片断线性函数优化 LQ45 股票投资组合：从投资者角度看案例研究

International Journal of Mathematics, Statistics, and Computing Pub Date : 2024-02-01 DOI: 10.46336/ijmsc.v2i1.61

Chusnul Chatimah Azis, R. H. Kankarofi, Ibrahim Mohammed Sulaiman

{"title":"Optimizing the LQ45 Stock portfolio using Piecewise Linear Function: A Case Study from an Investor's Point of View","authors":"Chusnul Chatimah Azis, R. H. Kankarofi, Ibrahim Mohammed Sulaiman","doi":"10.46336/ijmsc.v2i1.61","DOIUrl":"https://doi.org/10.46336/ijmsc.v2i1.61","url":null,"abstract":"In optimization problem solving, both linear and nonlinear approaches can be used, with nonlinear programming considering constraints or not. One effective method of nonlinear programming is the Piecewise Linear approach, which breaks down complex nonlinear functions into straight-line segments to make their solution easier. This method can be applied in the financial sphere, such as in stock investment. This study discusses the application of piecewise linear function in optimizing investment portfolios in Bank Jago Tbk. (ARTO), Barito Pacific Tbk. (BRPT), and Go To Gojek Tokopedia Tbk. (GOTO) stocks. The purpose of this study is to provide insight that Piecewise Linear can provide optimal solutions in managing investment portfolios by calculating the risks and returns of selected stocks. The results showed a risk with a level as big as 0.01, the expected profit from the investment of the three stocks in the calculation period reached Rp 1,803,109. On the other hand, for investors who are more cautious and have a Level as big as 1, the anticipated profit in the same investment is around Rp 1,275,052.","PeriodicalId":517271,"journal":{"name":"International Journal of Mathematics, Statistics, and Computing","volume":"61 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139897517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0