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International Journal of Mathematics, Statistics, and Computing
ISSN : -     EISSN : 30250803     DOI : https://doi.org/10.46336/ijmsc
Core Subject : Science, Education,
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 6 Documents
Search results for , issue "Vol. 3 No. 4 (2025): International Journal of Mathematics, Statistics, and Computing" : 6 Documents clear
The Effect of Fast Food Consumption on Obesity in Teenagers : A Literature Review and Secondary Data Analysis Indriyani; Geraldine, Keysia Feliani; Putri, Alesyia Tharfaira; Sukmariwati, Anisa; Azzahra, Siti Alya; Azzahra, Alika Fatihah; Azzahra, Nailah; Praceka, Java Ahmad Forouzan; Zaina, Ratu Faiza; Audhyanto, Claudya Valerinne; Putri, Alifa Kaliyana; Kareema, Najwa Haniah Nur; Hidayat, Yuyun
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 4 (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.v3i4.229

Abstract

Obesity among teenagers is a growing public health concern and is often linked to the frequent consumption of fast food, which is typically high in calories, fat, and sodium, but low in dietary fiber. This study aims to explore the impact of fast food consumption on the prevalence of obesity in teenagers through a literature review and analysis of secondary data from two prior studies. A Chi-Square test was conducted to examine the relationship between the frequency of fast food intake and obesity status. The combined analysis indicates that teenagers who consume fast food more than three times per week tend to have a higher prevalence of obesity. However, statistical testing revealed that this association is not significant (Chi-Square value = 0.0145; p-value = 0.9042). These results suggest that teenage obesity is not solely influenced by fast food intake but is also affected by other factors such as physical activity, overall dietary habits, and genetic predisposition.
Accuracy of the Jian-Yang-Jiang-Liu-Liu Spectral Conjugate Gradient Method in Estimating Extended Exponential Weibull Parameters Tjayadi, Steven; Malik, Maulana; Novkaniza, Fevi
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 4 (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.v3i4.244

Abstract

Life is filled with uncertainty and risk. The analysis of lifetime is needed to be a tool that can manage uncertainty. Lifetime is defined as data that contains the time until the occurrence of an event. Based on its definition, lifetime data is like Hazard rate data or mortality data because mortality data can be defined as data that contains the probability of an object surviving until that moment per unit time interval. The analysis of mortality data aims to model the distribution of time to event and/or the determinants of time to event. One of the distribution models that can be used to analyze mortality data is Weibull distribution. However, the Weibull distribution is not very suitable for modeling the more complex versions of data. Therefore, an extension of the Weibull distribution that is more flexible in modeling data is used, namely the Extended Exponential Weibull (ExEW) distribution. The ExEW distribution has four parameters whose estimation can be calculated using the maximum likelihood estimation (MLE) method. However, parameters estimated with MLE are often too difficult to calculate analytically, hence the use of optimization methods. One of the optimization methods that can be used to determine the estimated parameters of the ExEW distribution is the conjugate gradient method. To date, many conjugate gradient methods have been developed, including the Liu-Feng-Zou (LFZ) spectral conjugate gradient method and the Jian-Yang-Jiang-Liu-Liu (JYJLL) spectral conjugate gradient method. Previous research suggests that the JYJLL spectral conjugate gradient method has more efficient computational performance than the LFZ spectral conjugate gradient method. Through data simulation, this study provides results that the JYJLL spectral conjugate gradient conjugate method has better accuracy than the LFZ spectral conjugate gradient method in parameter estimation of the ExEW distribution. In addition, the ExEW distribution is the most suitable distribution in modeling various forms of Hazard rate data compared to the Weibull and exponential distributions.
Clustering of Regencies and Cities in West Java Province Based on Horticultural Indicators Using the K-Means Method Lakui, Rivani; Sastro, Gerry; Setiawan, Tabah Heri
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 4 (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.v3i4.249

Abstract

National food security largely depends on the capacity of domestic production. However, Indonesia continues to rely on food imports, including horticultural products. West Java Province, as one of the country’s main food-producing regions, possesses diverse geographical conditions that support the cultivation of various commodities and therefore becomes the focus of this study. This research aims to classify the 27 districts and cities of West Java Province based on horticultural indicators in order to identify spatial patterns and development potential. The study employed secondary data from the Central Bureau of Statistics (BPS) of West Java and World Climate for 2023, including horticultural production (ornamental plants, bio-pharmaca, vegetables, and fruits), annual average rainfall, and temperature. The analysis used the K-Means clustering method, with the Silhouette Index as an evaluation measure to determine the optimal number of clusters. Results indicate that three clusters provided the best accuracy. Cluster 1 (e.g., Cianjur and Bandung Regencies) consists of areas with high horticultural production, low temperatures, and moderate rainfall. Cluster 2 (e.g., Bogor and Sukabumi Regencies) represents regions with low production, moderate temperature, and high rainfall. Cluster 3 (e.g., Cirebon and Indramayu Regencies) includes areas with moderate production, high temperature, and low rainfall. The findings provide a foundation for local and national governments to design targeted horticultural development strategies that enhance productivity, improve farmers’ welfare, and support sustainable food security.
Enterprise Architecture Planning for the Transformation of Career Development Center (CDC) Business Processes at Ma’soem University Nugraha, Muhamad Fahmi; Naasyiah, Rifdah; Maulana, Doni Rizki
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 4 (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.v3i4.268

Abstract

The Career Development Center (CDC) at Ma’soem University supports students and alumni in preparing for the workforce through services such as counseling, psychological testing, tracer studies, and job vacancy information. However, the absence of an integrated system makes these services less efficient and difficult to manage. This study proposes a centralized information system using the Enterprise Architecture Planning (EAP) approach to support the CDC’s digital transformation. The design includes data, application, and technology architectures aimed at improving service delivery and operational performance. The system development process involves observation, interviews, business process modeling (BPMN), and data structure design (ERD). The result is a system design with key modules supported by secure technological infrastructure. The system is planned to be implemented in stages and is expected to help the CDC operate more effectively and align with the needs of the industrial sector.
Unpacking the Impact of Digital Touchpoint Excellence and Switching Resilience on Building Millennial Loyalty and Financial Decision-Making at Phintraco Sekuritas Hapsari, Ayuningtyas Yuli; Anwar, Tezza Adriansyah; Sugiana, Neng Susi Susilawati; Widjatun, Vincentia Wahju; Padmanegara, Oliver Hasan
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 4 (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.v3i4.269

Abstract

The purpose of this study is to investigate the influence of Digital Touchpoint Excellence and Switching Resilience on Millennial Loyalty and Financial Decision-Making in the context of digital investment services at Phintraco Sekuritas. In particular, the study seeks to understand how high quality digital interactions and user resilience contribute to sustained loyalty among millennials in Java and Bali. A quantitative research method was employed using a structured online questionnaire distributed to millennial respondents aged 20–40 who actively use digital investment platforms. A sample of 384 respondents was selected through proportional random sampling across major cities in Java and Bali. The data were analyzed using Structural Equation Modeling (SEM) with AMOS to test the relationships among variables. The results reveal that Digital Touchpoint Excellence significantly influences both Financial Decision-Making and Millennial Loyalty, with Financial Decision-Making acting as a partial mediator. Furthermore, Switching Resilience strengthens the impact of Financial Decision-Making on Millennial Loyalty, indicating its role as a moderating variable. The findings suggest that creating seamless, personalized, and reliable digital touchpoints is crucial in enhancing user confidence in financial decisions, which in turn drives loyalty. This study provides practical implications for fintech service providers, emphasizing the importance of investing in digital customer experiences and resilience-building strategies to retain millennial users. Uniqueness of this study lies in its integrated approach that combines psychological resilience and digital UX excellence within a financial decision-making context, specifically targeting millennial behavior in the Indonesian capital market a perspective that remains underexplored in previous research. 
The Influence of Service Quality on Customer Loyalty at Ibis Hotel Bandung Mukhlis, Ervie Nur Afifah; Nurarifian, Muhammad Chairully; Agustian, Deryl; Syafrilyudin, Rafli; Hidayatullah, Tubagus; Sugiana, Neng Susi Susilawati
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 4 (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.v3i4.270

Abstract

This study aims to analyze the influence of service quality on customer loyalty at Ibis Hotel Bandung. The hospitality industry is highly competitive, and maintaining customer loyalty is crucial for business sustainability. Service quality is considered a key factor influencing customer decisions to repurchase and recommend hotel services to others. This research uses a quantitative method with a survey approach, involving 100 customers who have stayed at Ibis Hotel Bandung. Data were collected through questionnaires measuring five dimensions of service quality: tangibles, reliability, responsiveness, assurance, and empathy. The data were analyzed using multiple linear regression to determine the significance of each dimension’s effect on customer loyalty.The results show that service quality significantly influences customer loyalty at Ibis Hotel Bandung. Among the dimensions, reliability and assurance have the highest positive impact, indicating that customers value consistent service performance and the confidence provided by hotel staff. Tangibles, such as cleanliness and room facilities, also contribute to loyalty, though to a lesser extent. Responsiveness and empathy were found to positively affect loyalty by creating comfort and trust in customers during their stay. These findings imply that Ibis Hotel Bandung must continuously maintain and improve its service quality, especially in ensuring reliable and assured services to increase customer retention and recommendations. This study contributes to the hotel management literature by reaffirming that excellent service quality is a strategic asset in building and sustaining customer loyalty in the hospitality industry.

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