https://jurnalmipa.unri.ac.id/jomso/index.php/files/issue/feed Journal of Mathematical Sciences and Optimization 2025-05-15T07:54:36+00:00 M.D.H Gamal [email protected] Open Journal Systems <p>Journal of Mathematical Sciences and Optimization (JOMSO) is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in research. Journal of Mathematical Sciences and Optimization (JOMSO) receives a manuscript in areas of study mathematics widely such as analysis, algebra, geometry, numerical methods, mathematical modeling, and optimization and math-based multidisciplinary studies derived from outside problems of mathematics.<br />JOMSO issues on July and January. </p> <p> </p> https://jurnalmipa.unri.ac.id/jomso/index.php/files/article/view/39 A SIXTH-ORDER PREDICTOR-CORRECTOR METHOD FOR INITIAL VALUE PROBLEMS 2025-05-06T14:17:18+00:00 Syamsudhuha Syamsudhuha [email protected] Widari Cania [email protected] M Imran [email protected] Ayunda Putri [email protected] Rike Marjulisa [email protected] Supriadi Putra [email protected] <pre>This article discusses the sixth-order predictor-corrector method by changing the integral limit of <br>$[t_n,t_{n+1}]$ to $[t_{n-3},t_{n+1}]$. This method combines the explicit Adam-Bashforth approach <br>as a predictor and the implicit Adam-Moulton approach as corrector. The results obtained show that <br>the numerical solution is close to the exact solution and the selection of a small \textit{stepsize}<br> $h$ makes this method an alternative method in solving various initial value problems.</pre> 2025-05-11T00:00:00+00:00 Copyright (c) 2025 Journal of Mathematical Sciences and Optimization https://jurnalmipa.unri.ac.id/jomso/index.php/files/article/view/37 Exploring Multiple Seasonal MA Models for Short-Term Load Forecasting 2025-03-04T08:02:35+00:00 Syalam Simatupang [email protected] Moh Danil Hendry Gamal [email protected] <p>This study explores the use of multiple seasonal Moving Average (MA) models for short-term load forecasting, focusing on identifying the most suitable model order, which may involve subset, multiplicative, or additive components. While many seasonal MA models for time series forecasting tend to assume non-multiplicative structures, often without performing statistical tests, this research introduces a new procedure to determine the most appropriate multiple MA order. The study includes a case analysis of short-term load forecasting in a specific country. The findings of the study indicate that incorporating multiple multiplicative parameters can significantly improve model accuracy.</p> 2025-05-11T00:00:00+00:00 Copyright (c) 2025 Journal of Mathematical Sciences and Optimization https://jurnalmipa.unri.ac.id/jomso/index.php/files/article/view/40 THE CHROMATIC NUMBER FOR DELONIX REGIA AND PLUMERIA FLOWER GRAPHS 2025-05-07T02:02:12+00:00 Susilawati [email protected] AULIA AZZAHRA AMRAN [email protected] RINI SINTIA BELLA [email protected] Oktavia Alisa Putri [email protected] Olivia Yolanda Fransiska [email protected] <p><em>Let </em><em>&nbsp;be a simple graph. A vertex k-coloring of a graph </em><em>&nbsp;is a labeling function </em><em>, where </em><em>&nbsp;and it is proper if the adjacent vertices have different labels. A graph is </em><em>colorable if it has a proper </em><em>coloring. The chromatic number </em><em>&nbsp;is the smallest such that &nbsp;</em><em>&nbsp;such that there exist a proper &nbsp;</em><em>coloring of </em><em>. This article investigated the chromatic number for Delonix Regia Flower (</em><em>&nbsp;</em><em>and Plumeria Flower (PLF<sub>n</sub>). The results showed that the chromatic number for Delonix regia flower (</em><em>) is </em><em>&nbsp;</em><em>for </em><em>. Furthermore, the chromatic number for Plumeria Flower Graph </em><em>&nbsp;for </em><em>&nbsp;is odd, and&nbsp;</em><em>&nbsp;for </em><em>&nbsp;is even.</em></p> 2025-05-11T00:00:00+00:00 Copyright (c) 2025 Journal of Mathematical Sciences and Optimization https://jurnalmipa.unri.ac.id/jomso/index.php/files/article/view/38 ANALYSIS OF TIME COST TRADE-OFF APPROACH ON CRITICAL PATH METHOD TO ACCELERATE CONSTRUCTION PROJECT COMPLETION 2025-03-25T08:20:36+00:00 SANTI SARI DEWI [email protected] TARY PERMATA SARI [email protected] Efni Agustiarini [email protected] ENDANG LILY [email protected] <p><em>The article discusses the analysis of project scheduling using the critical path method (CPM) to identify the project's critical path, allowing for the determination of the overall project completion time. This is further analyzed using the time cost trade off </em>(<em>TCTO</em>)<em> approach to evaluate the duration and costs after adding two hours of overtime on the critical path, with the assistance of Microsoft Excel software. The objective of this problem is to optimize project completion time and minimize delays based on the duration and costs of project activities. The calculation results indicate the optimal time and cost for project completion, and suggest that project acceleration can be achieved by selecting activities that can be expedited through the addition of overtime hours.</em></p> 2025-05-11T00:00:00+00:00 Copyright (c) 2025 Journal of Mathematical Sciences and Optimization https://jurnalmipa.unri.ac.id/jomso/index.php/files/article/view/41 DETERMINING THE CHROMATIC NUMBER OF A MODIFIED ADENOVIRUS GRAPH USING GREEDY ALGORITHM 2025-05-08T06:47:12+00:00 Aulia Azzahra Amran [email protected] Susilawati [email protected] <p style="font-weight: 400;"><em>One of the vertex colorings that is a well-known research topic is chromatic number which requires that any two adjacent vertices have different colors.</em><em>&nbsp; Adenovirus is a DNA virus that causes infections in the upper or lower respiratory tract, pharynx, gastrointestinal tract, and conjunctiva. Let </em><em>&nbsp;be the modified adenovirus graph. This graph is constructed from molecular biology data, where </em><em>&nbsp;represents a set of vertices that represented the elements such as virus DNA genes, DNA segments, and their variants, while </em><em>&nbsp;is the set of edges that describe overlapping interactions between segments or conflicts among them. This article discusses vertex coloring on the modified adenovirus graph </em><em>&nbsp;using greedy. The chromatic number is the minimum number of colors used to solve the vertex coloring problem on the graph </em><em>&nbsp;and is denoted by </em><em>. This study aims to construct the graph </em><em>&nbsp;</em><em>and determine the chromatic number of the graph </em><em>&nbsp;using the greedy algorithm. The results show that greedy algorithm give the chromatic number for the modified adenovirus graph </em><em>&nbsp;with </em><em>&nbsp;for even n is </em><em>.</em></p> 2025-05-11T00:00:00+00:00 Copyright (c) 2025 Journal of Mathematical Sciences and Optimization