International Journal of Mathematics, Statistics, and Computing
International Journal of Mathematics, Statistics, and Computing (IJMSC) is an official journal of the Communication in Research and Publications (CRP) and publishes original research papers that cover the theory, practice, history, methodology or models of Mathematics, Statistics, and Computing (MSC). IJMSC will act as a platform to encourage further research in Mathematics, Statistics, and Computing, theory and applications. The rapid development of science and technology has had a significant impact on various aspects of human life, including in the fields of economy, education, culture and government. The positive impacts of science and technology include facilitating access to information and communication, accelerating production and service processes, as well as providing new business and investment opportunities. Mathematics, statistics, and computer science have a very important role for the advancement of science and technology. Among them are as a basis for computer programming, basic calculations in the development of modern tools, can solve a problem even with big data. The mission of the International Journal of Mathematics, Statistics, and Computing (IJMSC) is to enhance the dissemination of knowledge across all disciplines in theory, practice, history, methodology or models of Mathematics, Statistics, and Computing (MSC). The above discipline is not exhaustive, and papers representing any other social science field will be considered. The IJMSC particularly encourage manuscripts that discuss the latest research findings or contemporary research that can be used directly or indirectly in addressing critical issues and sharing of advanced knowledge and best practices in Mathematics, Statistics, and Computing (MSC). The essential but not exclusive, audiences are academicians, graduate students, researchers, policy-makers, regulators, practitioners, and others interested in business, management, economics, and social development studies. For ensuring a wide range of audiences, this journal accepts only the articles in English. The scope of mathematics are: Algebra, Applied Mathematics, Financial Mathematics, Approximation Theory, Combinatorics, Computing in Mathematics, Operations Research Methodology, Discrete Mathematics, Mathematical Physics, Geometry and Topology, Logic and Foundations of Mathematics, Number Theory, Numerical Analysis, and other relevant matters. The scope of statistics are: Probability Theory, Central Limit Theorem Computation, Sample Survey, Statistical Modeling, Statistical Theory, Computational Statistics, Data Sciences, Actuarial Sciences, Regression Models, Time Series Models, and other relevant matters. The scope of computing are: Algorithms and Data Structures, Computer Architecture, Software Engineering, Artificial Intelligence and Robotics, Human and Computer Interaction, Informatics Organizations, Programming Languages, Operating Systems and Networks, Databases, Computer Graphics, Computing Science, BioInformatics, Information Technology, and other relevant matters.
Articles
60 Documents
Analysis Testing Black Box and White Box on Application To-Do List Based Web
Pirdaus, Dede Irman;
Hidayana, Rizki Apriva
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 2 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i2.95
The rapid development of information technology has led to the creation of numerous web-based applications designed to assist human activities and work. One such application is the To-Do List, which helps users manage their tasks and increase productivity. This study aims to analyze the quality of web-based To-Do List applications through black box and white box testing. The research focuses on the login and main pages of the application, where various scenarios are tested to ensure that the system functions as intended. The testing process includes designing test scenarios, creating test cases, executing the test cases, and collecting and processing test result data. The study also includes an analysis of the program's source code using flowcharts and flowgraphs to identify the number of independent logic execution paths and design test cases for white box testing. The results of the testing will help identify errors and weaknesses in the application, ensuring that the final product is of high quality.
Black Box Testing on Website-Based Guestbook Registration Applications
Salih , Yasir;
Saefullah, Rifki
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 2 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i2.96
In the rapidly developing digital era, website-based applications have become an important means of meeting the needs of various uses. One application that has received attention is the guest book registration application, which aims to record and manage guest information efficiently. In this context, application testing becomes crucial to ensure service quality, security and availability. This research focuses on black box testing, a software testing method that emphasizes the functionality and reliability of applications from the user's perspective. Testing covers key aspects such as data input, and key functionality. Through this approach, it is hoped that the research results can contribute to the development of a website-based guestbook registration application that is more reliable and suits user needs.
Optimization of White Box Testing by Utilizing Branching and Repeating Structures in Java Programs Using Base Path
Kalfin, Kalfin;
Ibrahim, Riza Andrian;
Laksito, Grida Sakti
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 2 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i2.98
Software testing is a process created to detect anomalies in the operation of a program or system in order to achieve the expected results. White box testing is a software testing method that tests the internal structure, design and program code. This research aims to produce an optimization method for white box testing in Java programs by utilizing branching and repetition structures using the basis path method, as well as analyzing the effectiveness of the proposed method in generating test cases. The Java program tested in this research includes input function calls, loops, branching, and exception handling. Test case design is carried out by applying the basis path method to achieve comprehensive coverage. The test results show that the base path method is able to produce effective test cases for testing control structures without redundancy. Test case design is assisted by flowgraph and matrix graph modeling. It is hoped that this research can contribute to the optimization of white box testing techniques.
Determination of Insurance Premium Rates with Aggregation Claims at BPJS with Exponential and Gamma Distributions
Zakirah, Khalilah Razanah;
Banowati, Puspa Dwi Ayu
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 2 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i2.103
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.
Calculation of Pension Funds for TNI Group IIIA Using the Individual Level Premium Method
Bisyarah, Sania;
Novi Elizabeth S., Sri
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 3 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i3.117
Prosperity in retirement is one of the important aspects to achieve in the career path of every individual, including the Indonesian National Army (TNI) which relies on pension funds as a source of post-retirement income. Pension funds manage programs that promise financial benefits to participants after they retire. In this context, the study aims to present the calculation of pension funds for TNI class IIIA using the Individual Level Premium method. This method allocates the total pension benefit equally each year. As a result, it is found that the Individual Level Premium method provides a greater pension benefit value than the benefit value using the proportion of salary from ASABRI. This shows that this method is effective in calculating retirement benefits.
Application of Projected Unit Credit Method and Entry Age Normal in Pension Fund Insurance of PT Pos Indonesia, South Aceh Regency
Sholahuddin Al Ayubi, Faqih;
Victorio Rudolfo Purba, Daniel
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 3 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i3.118
This study aims to analyze the application of the Projected Unit Credit (PUC) Method and the Entry Age Normal (EAN) Method in the context of pension fund insurance. The Projected Unit Credit Method and the Entry Age Normal Method are two actuarial approaches used to calculate liabilities and determine the required contributions in pension plans. The Projected Unit Credit Method calculates based on projected future salaries and benefits accumulated over the employee's working life, while the Entry Age Normal Method distributes the cost of retirement benefits evenly over the employee's working life. Data was collected from various pension plans that use both methods. Analysis was conducted to compare the accuracy of liability estimation, contribution stability, and the impact of each method on pension fund sustainability. The results show that the Projected Unit Credit Method provides a more realistic liability estimate by considering salary increases, while the Entry Age Normal Method offers better contribution stability from year to year. The selection of the appropriate actuarial method is highly dependent on the objectives and specific conditions of the pension program being managed. These findings are expected to help pension fund managers make more informed decisions to ensure the welfare of pension plan participants.
Stock Making Investment Decisions Using the Capital Asset Pricing Model (CAPM) Analysis of the Business Index-27 on the Indonesian Stock Exchange
Putrie, Veronica Clasrissa;
Anataya Nurdyah, Himda
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 3 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i3.119
The purpose of this study is to measure the ability of the Capital Asset Princing Model (CPAM) in analyzing investment decision making by predicting the risk and return that will be obtained by investors and helping investors in choosing efficient and inefficient stocks. CAPM is a measuring tool that can be used to determine the level of risk and return obtained and evaluate the rate of return on investment. The purposive sampling technique is used in selecting samples to be used in the study, namely companies listed on the Indonesia Stock Exchange and their shares are consistently included in the Bisnis-27 stock index. The stock criteria used in selecting efficient stocks, namely when individual return results exceed the expected return. The results of this study indicate that there are 8 stocks that meet the efficiency criteria, namely ADRP, AKRA, AMRT, BBNI, BMRI, INKP, JSMR, and PGAS with individual returns results exceed the expected returns. In investment decisions, stocks that are included in these efficient stocks are the priority stocks that investors should buy. Based on the analysis, there is a non-linear relationship between systematic risk and expected stock returns, making an important contribution to investment decision making in the Indonesian stock market.
Portofolio Management with Markowitz Model to Determine Optimal Investment Values
Purba, Daniel Victorio Rudolfo;
Fasya, Emir Shiddiq
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 3 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i3.120
Investment is a commitment to a number of funds or other resources made at this time with the aim of obtaining a number of benefits in the future. Investments can be channeled through several instruments, such as deposits, gold, property, stocks, and many more. With the various types of investments that exist today, the difficulty of finding an investment cannot be an obstacle. In investment, the appropriate allocation of funds can be an important factor in obtaining profits. By using the correct method, the risk factors that may occur can be minimized as well as possible. The method that can be used in determining funds in investment activities is using the Markowitz Model. Then, the author initiates a method for optimizing assets using the Markowitz method. In this research, used data from 10 stocks in Indonesia PANI, CLEO, DSSA, UNIC, ADRO, CITA, CAKK, TPIA, MYOR, ANTM. Then, the stocks will be arranged optimally portfolio. The optimal investment weight obtained for stocks from January 1, 2019 to December 31, 2023 using the Markowitz model, each share weighting namely 7,6% PANI, 18,05% CLEO, 8,48% DSSA, 16,902% UNIC, 12,471% ADRO, 10,496% CITA, 7,246% CAKK, 12,946% TPIA, 5,877% MYOR, and 0,464% ANTM company stocks and provide a portfolio ratio of 5.694581 which can also be interpreted that the optimal return ratio profit is 5.694581 times greater than the possible loss or portfolio variance.
Analysis of Investment Decision Assessment Using the Net Present Value (NVP) Method at PT Bank Mandiri (Persero) Tbk
Muqtashida, Amalia Aura;
Benedicta, Hellena;
Suhaimi, Nurnisaa Binti Abdullah
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 3 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i3.121
This paper explores the fundamental elements of a robust business management strategy, essential for sustained success in the dynamic business landscape. It delves into crucial components such as investment decision-making, comprehensive planning, business development, and judicious risk-taking. These strategic decisions not only influence immediate financial performance but also contribute to long-term benefits such as market growth and heightened competitiveness. Focusing on the banking sector, the paper acknowledges the potential for substantial returns juxtaposed with inherent risks. Emphasizing that these risks are manageable, particularly in the stock market, it advocates for a meticulous approach to investment decision analysis. The strategic choices made in this process play a pivotal role in maximizing returns while minimizing the impact of stock market risks. With a preference for the Net Present Value (NPV) method highlighted in the literature review, the paper underlines the significance of comprehensive investment decision analysis.
Integrated Financial Strategies: Sinking Funds and Annuity Pricing in a Dynamic Market Environment
Bilhaq, Saskia Iqlima;
Muthmainah, Rona Afiya
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 3 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications
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DOI: 10.46336/ijmsc.v2i3.122
The study on "Integrated Financial Strategies: Sinking Funds and Annuity Pricing in a Dynamic Market Environment" seeks to investigate how sinking funds, annuity pricing, and dynamic market environments can be integrated within the context of integrated financial strategies. The study focuses on the following areas: (1) the application of actuarial tables and probability distributions to ascertain the proper values for annuities payments and sinking fund balances; (2) the role of the actuary science in sinking funding scheduling; (3) the effect of market factors, such as interest rates, inflation, and economic conditions, on the value and value of sinking investments; (4) the analysis of the relationship between market dynamics, including interest rates and time periods, and the value of a sinking asset, including the integration of the two financial instruments. The analysis revealed that changes in the interest rate and the number of periods directly influence the future value of the sinking assets. The integration of these financial instruments can help to optimize financial decision-making, enhance risk management, increase investment returns, improve financial planning, and lead to greater integration with other financial instruments, ultimately leading to better financial outcomes for both financial professionals and investors