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kalfin Kalfin

Department Of Statistics, Faculty Of Mathematics And Natural Sciences, Universitas Padjadjaran

Author-ID : 2614677

Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Analysis and Visualization of Advertising Sales Data Using Python Software Through an Internship Program Ardiansyah, Muhammad Naufal; kalfin
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v2i2.76

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.

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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.

Basic Concepts of Stock Option Pricing Models Traded in the Capital Market Ibrahim, Riza Andrian; Azahra, Astrid Sulistya; Kalfin; Saputra, Moch Panji Agung
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 4 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v2i4.141

An option, in the world of capital markets, is a right based on an agreement to buy or sell a commodity, financial securities, or a foreign currency at an agreed price at any time within a three-month contract period. Factors that determine the value of an option include the current price of the stock, intrinsic value, expiration time or time value, volatility, interest rate, and cash dividends paid. Some options pricing models use this parameter to determine the fair market value of an option. This paper aims to learn the basic concepts of option pricing. The method used in studying the pricing of options is a literature review, which is an activity to collect scientific data, especially in the form of theories, methods, or research that has been carried out previously, either in the form of books, manuscripts, journals, and others that already exist in the library. Based on the results of the study, concepts, scientific findings, and method innovations that have been achieved previously are obtained, which are very relevant and useful for understanding the determination of stock option prices. An option, in the world of capital markets, is a right based on an agreement to buy or sell a commodity, financial securities, or a foreign currency at an agreed price at any time within a three-month contract period. Factors that determine the value of an option include the current price of the stock, intrinsic value, expiration time or time value, volatility, interest rate, and cash dividends paid. Some options pricing models use this parameter to determine the fair market value of an option. This paper aims to learn the basic concepts of option pricing. The method used in studying the pricing of options is a literature review, which is an activity to collect scientific data, especially in the form of theories, methods, or research that has been carried out previously, either in the form of books, manuscripts, journals, and others that already exist in the library. Based on the results of the study, concepts, scientific findings, and method innovations that have been achieved previously are obtained, which are very relevant and useful for understanding the determination of stock option prices.

Optimization of Stock Portfolio in Indonesian Health Sector using Markowitz Modern Portfolio Theory Kalfin; Hidayana, Rizki Apriva
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 1 (2025): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v3i1.182

This study analyzes the optimization of the health sector stock portfolio on the Indonesia Stock Exchange using the Markowitz Modern Portfolio Theory method. The data used are the daily closing prices of health sector stocks over the last three years obtained through web scraping techniques from Yahoo Finance. The analysis includes the calculation of daily returns, daily risks, and covariance matrices between stocks. The results of the portfolio optimization show that out of the ten stocks analyzed, the optimal portfolio consists of four stocks, namely MIKA.JK (62.82%), KLBF.JK (15.58%), CARE.JK (15.37%), and SAME.JK (6.23%). This portfolio generates a daily return of 0.216% with a risk level of 1.996%. MIKA.JK contributes the highest return of 0.02063% with a risk of 1.52601%. This study provides guidance for investors in optimizing fund allocation in the health sector stock portfolio in Indonesia.

Co-Authors Agung Prabowo Ahmad Alfarizy andrian, riza Ardiansyah, Muhammad Naufal Astrid Sulistya Azahra Azahra, Astrid Sulistya Bakti Siregar Bima Mulia binti Abdullah Suhaimi, Nurnisaa Brigita Tiara Elgityana Melantika Chun Wang Denny Razzianto Dewi Ratnasari Dewi, Puja Kalima Diantini, Ni Luh Sri Erwen, Ivana Valencia Eti Suminartika Fabian, Natanael Tio Farelino, Caesar Gracia, Ribka Hadiaty Y, Siti Hadiaty, siti Halim, Nurfadhlina Abdul Haq, Fadiah Hasna Nadiatul Hidayana, Rizki Apriva Hutabarat, Aned Miranda Ibrahim, Riza Andrian Januaviani, Trisha Magdalena Adelheid Jauharie, Kaisar Shauma Rif’at Jumadil Saputra Kirani, Agnes Neisha Laksito, Grida Sakti Loei, Jonathan Melviana Mohamad Arief Setiawan Muhammad Rachman Mulyandi Musdaifah, Selvy Muyandi, Muhammad Rachman Nasria Nacong Natasha, Sharren Nikita Nugroho, Diyas Arya Nurnisaa AS Nurnisaa binti Abdullah Suhaimi Perdi Setiawan Persius, Angel Andromeda Pirdaus, Dede Irman Poluan, Regina Calista Pradana, Reza Septian Pratama, Wisnu Ramadhani, Sausan Riaman Riaman Rini Cahyandari Salih, Yasir Saudi, Jeremi Heryandi Setiawan, Mohamad Arief Setiawan, Perdi Shielline, Patricia Sidiq, Fahmi Sukono Sukono Sulistya A, Astrid Sulistya Azahra, Astrid Tanuwijaya, Terrance Tinambunan, Michael Tooy, Yohanes L. Trisna Insan Noor Vimelia, Willen Wangsa, Vanessa Wisesa, Krisna Yoga Wiwik Wiyanti Wulandari, Nuraeni Yoga, Vincensius Yuningsih, Siti Hadiaty Yuyun Hidayat

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