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Journal of Mathematics and Scientific Computing With Applications
Published by Yayasan Pena Cendekia Insani
ISSN : 27985512     EISSN : 27985776     DOI : -
Core Subject : Education,
Mathematics
Journal of Mathematics and Scientific Computing With Applications is a broad-based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. It covers all major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptographic, fuzzy theory with applications, differential equations with applications. Journal features research papers in all branches of mathematics that have some bearing on the application to scientific problems, including areas of actuarial science, mathematical biology, mathematical economics, and finance.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 107 Documents
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APPLICATION OF OPTIMAL CONTROL THEORY TO INVENTORY PROBLEMS THAT ARE INCREASING AT PT. INDUSTRY PLYWOOD TJIPTA RIMBA DJAJA Harahap, Tramilta Salsabila; Dur, Sajaratud; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.525

Abstract

Every company that carries out businees activities generally has inventory. Inventories include raw materials, semi-finished goods or finished goods. Inventories of goods in the company have increased and decreased. An increase in inventory can cause losses, because the cost of storing and maintaining in the warehouse is too high. While a decrease in inventory can result in a shortage of inventory. The purpose of this research is to determine the level of optimal inventory in PT. Industry Plywood Tjipta Rimba Djaja. Using the optimal control theory model and analyzing the stability of the dynamic differential equation, to find the optimal inventory level. Obtained optimal inventory levels achieve stability at the time . For the planning length of 12 months includes: raw material inventory (logs sengon and rambung), production (finished materials in process) and finished plywood or plywood products that are in the warehouse. From this research optimal control theory can be applied in PT. Industry Plywood Tjipta Rimba Djaja to optimize inventory on the problem of increasing inventory.
IMPLEMENTATION OF EXPONENTIAL SMOOTHING METHOD IN THE NUMBER OF DIVORCE RATE IN INDONESIA Yuliani, Eva; Rakhmawati, Fibri; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.526

Abstract

The divorce rate in Indonesia from 2007 to 2020 has increased. The increase in the divorce rate in Indonesia has an impact on the mental condition of children. The purpose of this study is to find out the results of the number of divorce rates in Indonesia in 2021-2022 and to see which accuracy is more accurate between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method. Comparison between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method which has more accurate forecasting, namely the Double Exponential Smoothing Method with parameter values and the MAPE value of 14.27%, the equation for forecasting the divorce rate in Indonesia is . The results of the study show that the divorce rate in Indonesia will increase in 2021 with 285,903 cases and decrease in 2022 with 268,649 cases.
APPLICATION OF THE FORWARD RECURSIVE EQUATION MODEL ON WASTE TRANSPORTATION ROUTES IN MEDAN JOHOR DISTRICT USING DYNAMIC PROGRAMMING ALGHORITHM Hanum, Syarifah; Azura, Maudya Nur; Sari, Dinda Permata; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 1 (2024)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.854

Abstract

Waste problems often occur in big cities such as Jakarta, Surabaya, Medan, Bandung, Yogyakarta and Semarang. Urban waste is waste produced by human activities in urban areas, including various types of materials such as plastic, paper, metal and organic materials. Therefore, waste needs to be collected, transported and disposed of immediately to prevent negative impacts on the environment. With the increase in population in urban areas, it is likely that the amount of waste will also increase. The solution that can be used to solve this problem is to optimize the distance using a dynamic programming model forward recursive equation algorithm. The application of dynamic programming can be used to solve various problems such as determining the shortest distance, optimal flow, task or resource scheduling, production planning, network optimization, and problems in research and development projects. Based on determining the optimal route for transporting waste in Medan Johor District using the dynamic programming algorithm forward recursive equation model, the total distance is 26,2km.
APPLICATION OF THE MONTE CARLO METHOD IN PREDICTING THE NUMBER OF BUDGET PROPOSALS ACCEPTED IN NORTH SUMATRA PROVINCIAL HEALTH OFFICE Harahap, Riska; Siahaan, Maharani Putri Adam; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 1 (2024)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.873

Abstract

A budget is a planning tool regarding future expenditure and revenues, generally prepared for one year. The prediction simulation for approved budget proposals is an estimate of the calculation of the approval rate for approved proposals in the following year. This research uses the Monte Carlo method in solving problems. This method can be used in problems with nonlinear boundary conditions, namely prediction limits.the author uses a quantitative descriptive method, which is a form of research that focuses on the facts and characteristics of the research object by combining related variables. This research uses the Monte Carlo method uses random numbers and probability statistics to solve problems.The data used to predict the approved proposal budget is the budget proposal data that is approved each year. The following is one of the approved proposal data, namely the approved budget proposal data from 2021, 2022 and 2023 budget proposals received using the Monte Carlo Method which has been implemented at the North Sumatra Provincial Health Service with the simulation namely with an average percentage in 2022 of 84% and in 2023 by 76%. So with the successful application of the Monte Carlo Method to predict the number of budget proposals received at the North Sumatra Provincial Health Service for 2024 it will provide convenience for the North Sumatra Provincial Health Service to find out what the predicted number of budget .
APPLICATION OF ANALYTICAL HIERARCHY PROCESS (AHP) IN SELECTING OPTIMAL THERAPY FOR OVARIAN CYST DISEASE Sakinah, Gita
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 1 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.966

Abstract

Ovarian cysts are one of the common health disorders in women that require proper diagnosis and treatment. Unfortunately, ovarian cyst patients face challenges in determining the optimal therapy for treating ovarian cysts. So, the aim of this research is to develop a decision model using the Analytic Hierarchy Process (AHP) to select the optimal therapy for ovarian cyst treatment. By analyzing 4 criteria, this model identifies the most optimal factors influencing therapy selection, including hormonal treatment, laparoscopic surgery, laparotomy surgery, and alternative medicine. The findings indicate that alternative therapy has the highest priority in terms of recovery time, while hormone therapy excels in cost criteria. The consistency ratio (CR) in the analysis is below the established threshold (? 0.1), indicating the reliability of the calculation results. The AHP method has proven effective as a decision-making tool in the selection of ovarian cyst therapy. This research provides insights for healthcare practitioners in selecting the appropriate treatment method and suggests further studies to explore additional factors influencing medical decisions.
PREDICTION OF WASTE GENERATION USING A LOGISTIC GROWTH MODEL IN DELI SERDANG Hanifah Tanjung, Rika; Salsabila, Mutiara
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 1 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.968

Abstract

The increase in population growth in a country has a negative impact on environmental pollution, especially the emergence of waste production with human activities to meet their needs. The application of the logistic method is a non-human object, namely waste generation which has a different concept in terms of its growth by using differential equation calculations. This research aims to predict the amount of waste generation in Deli Serdang Regency in the upcoming period of 2024 to 2028. The data used is secondary data from the National Waste Management Information System (SIPSN) analyzed to understand the pattern of waste growth. The analysis results show that the logistic I model has the best prediction accuracy with a Mean Absolute Percentage Error (MAPE) value of 3.18%, indicating a low error rate. The amount of waste generation in Deli Serdang Regency is projected to continue to increase every year until it approaches maximum capacity. In 2024, the amount of waste generation is estimated to reach 439,363.19 tons. In addition, in 2025 it was 447,529.07, in 2026 it was 455,846.2 tons, in 2027 it was 464,318.50 tons, and 472,948.002 in 2028. These projections provide a realistic picture of growth dynamics.
APPLICATION OF GREEDY ALGORITHM IN FINDING THE SHORTEST PATH TO HAJI ADAM MALIK CENTRAL GENERAL HOSPITAL MEDAN Arista Widya, Syipa
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 1 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.969

Abstract

This research aims to simplify access to Haji Adam Malik Medan Central General Hospital by using the Greedy algorithm efficiently. With various alternative routes available, the Greedy algorithm is applied to determine the shortest path that minimizes travel time. Data was obtained via Google Maps from four reference points: Belawan, Aceh, Berastagi, and Kualanamu Airport. The results reveal that the optimal route from Belawan is Node A ? a1 ? a3 ? R, covering 37 km in 55 minutes. From Aceh, the best path is Node B ? a1 ? a3 ? R, with a distance of 137 km in 1 hour 19 minutes. For Berastagi, the fastest route is C ? R, with a distance of 53 km and a travel time of 1 hour 31 minutes. From Kualanamu Airport, the optimal path is Node D ? a4 ? a2 ? R, covering 46 km in 1 hour 3 minutes. This study demonstrates the Greedy algorithm’s effectiveness in solving shortest path optimization problems and highlights its potential to serve as a foundation for navigation system development in Medan. It provides practical solutions for improving travel efficiency to critical locations like hospitals.
SYSTEMATIC LITERATURE REVIEW: ALGEBRAIC THINKING SKILLS IN MATHEMATICAL PROBLEM SOLVING Mentari Siregar, Diyan
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 1 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.970

Abstract

This study aims to provide a systematic picture in improving students' algebraic thinking skills in solving mathematical problems through the Systematic Literature Review (SLR) method. This research will analyze articles published between 2020 and 2024, focusing on the development, techniques used, and the influence of algebraic thinking skills in solving mathematical problems. The results of the study show that students' algebraic thinking skills are very important in building critical and creative thinking skills, which has an impact on solving complex problems effectively. The study also highlights effective learning strategies, such as cooperative approaches and technology integration, to improve algebraic thinking skills
OPTIMIZATION OF SHIFT SCHEDULING OF EMPLOYEES OF K3 MART INDEPENDENT FIELD BRANCH IN MEDAN USING INTEGER LINEAR PROGRAMMING Afriani, Widya
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 1 (2023)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.971

Abstract

Effective shift scheduling is an important element in human resource management at K3 Mart, Lapangan Merdeka, Medan, which operates for 24 hours. Challenges such as uneven shift distribution, disproportionate work schedules, and errors due to manual scheduling can reduce productivity, increase employee fatigue, and trigger internal conflicts. This research aims to optimize shift scheduling using the Integer Linear Programming (ILP) method. Primary data from employee interviews is used to build a mathematical model. The model is designed to minimize the number of workers in one scheduling period, while still considering constraints such as minimum employee requirements per shift, fair shift rotation, and a balanced distribution of days off. Model processing is done using Dev-C++ software, resulting in an optimal schedule that can meet operational needs without causing conflicts or labor shortages. The results show that the ILP method is able to produce an efficient, fair, and productivity-enhancing schedule, while maintaining workload balance and employee health. In addition, this method is flexible to adjust to changing operational needs. Implementation of this method in the retail sector can improve operational efficiency and employee welfare, with regular evaluation and updates to ensure its sustainability.
PROFIT OPTIMIZATION IN WET CAKE SALES USING THE SIMPLEX METHOD AND ITS APPLICATION IN POM-QM Luthfiyah, Farica; Aulia, Riska; Irfan, Muhammad; Wahyu Nuraini, Adinda; Firliansyah Purba, Muhammad
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 2 (2023)
Publisher : Pena Cendekia Insani

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

Abstract

The development of population increases every year causing food needs to increase, to meet food needs by increasing food crop productivity so that food availability can be sufficient. Food crops consist of rice, corn, green beans, peanuts, cassava, and sweet potatoes. Productivity in each region has different characteristics and therefore it is necessary to group the regions so that solution can be implemented in accordance with each of the characteristics of the region. The purpose of this study is to group districts/cities in North Sumatera Province based on food crop productivity using the k-means clustering method. Clustering k-means is method of grouping non-hierarchical data that attempts to partition existing data into one or more cluster or groups so that data that has the same characteristics are grouped into one same characterstics are grouped into other groups. The result of this study are the formation of 3 city district clusters namely, cluster 1 amounting to 1 regency/city, cluster 2 totaling 7 districts/cities, and cluster 3 totaling 25 districts/cities.

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