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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 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.v5i1.873

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.
POPULATION PREDICTION OF SIMALUNGUN DISTRICT USING THE LOGISTIC MODEL IN 2025-2030 Dora Latersia P, Egya; Jehan Maulana, Putri; Nada Utami, Destia; Rizki Hanafi, Muhammad
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.v5i1.978

Abstract

Population growth prediction is an important aspect in regional development planning, including in Simalungun Regency, which has complex demographic dynamics. Based on data from BPS, the population in Simalungun Regency is increasing every year, so a solution is needed to reduce the negative impact so that there is no population explosion. The solution that can be used to project the population in Simalungun Regency is to use a logistic growth model. This model is used to calculate the value of the growth rate and environmental carrying capacity (Carrying Capacity) using population data in Simalungun Regency in 2019-2023. The results obtained show that the environmental carrying capacity that limits the population in Simalungun Regency is 1,005,168.408 people. With the relative growth rate per year of the population in Simalungun Regency using the logistic model I is 3.46%. This model also projects the population in Simalungun Regency from 2025-2030. The population in 2025 amounted to 1,374,983 people until the year 2030 is estimated to amount to 1,476,292 people.
APPLICATION OF ANT COLONY OPTIMIZATION ALGORITHM ON DETERMINATION OF TRANSPORTATION FROM BELAWAN TO TUNTUNGAN CAMPUS Juliana; Juliani; Ramadhani, Akhiriyah; Widya, Ade; Farhan Zacky, M.
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.v5i1.979

Abstract

Transportation is an alternative used by everyone to get to a destination. In research, several alternative means of transportation can be used by students who live far from their campus. Students can determine the closest route to get to their campus. The campus we take is UINSU Campus IV. This research aims to overcome the transportation problems of students who live in the Belawan area and its surroundings. The research also used the ant colony optimization (ACO) algorithm method, with this method to make it easier to get the shortest route with a short time and the lowest cost or still standard with the distance. The ant colony optimization method is an algorithm inspired by the natural life of ants regarding ant habits in finding food. This research aims to get the shortest route and the optimal means of transportation used. In this study, it was found that the optimal means of transportation as well as distance, time, and cost were motorcycle transportation with a distance of 64.5km and the time required was 1 hour 4 minutes and the cost to be incurred was Rp. 40,000.00. This research uses Google Maps data to determine the distance of a location. Although the results are not optimal, it can be used as a solution for students in calculating the distance, time and cost to be used.
ANALYSIS OF THE BEST FERTILIZER SELECTION FOR CORN PLANTS USING THE MULTI-ATTRIBUTE UTILITY THEORY METHOD Sahrudin; Andini, Dwi; Malakiano Ritonga, Sandrina; Janurianty, Intan; Widya, Ade
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.v5i1.980

Abstract

Corn (Zea mays L.) is one of the most important food crops in the world, serving as a staple food for many countries, as well as a primary source of livestock feed and an industrial raw material. This research aims to determine the best fertilizer for corn plants (Zea mays L.) by applying the Multi-Attribute Utility Theory (MAUT) method, a systematic approach to multi-criteria decision making. This research was conducted in Rundeng District, Subulussalam City, Aceh, with three alternative fertilizers analyzed, namely NPK Mutiara, Urea, and Phonska. The criteria used include price, nutritional efficiency, and availability of fertilizer on the market, with weights for each criterion of 0.3, 0.5, and 0.2. The research results show that Phonska fertilizer has the highest global utility value of 0.895, making it the best choice based on the specified criteria. Phonska stands out for its optimal balance between affordable price, high nutritional efficiency and good availability on the market. Urea is in second place with a global utility value of 0.856, superior in terms of cheaper price, but lower efficiency than Phonska. Mutiara NPK, despite having the highest nutritional efficiency, only obtained a global utility value of 0.807 due to its higher price and lower availability. This research provides data-based guidance for farmers to choose the most suitable fertilizer, which is expected to increase corn crop productivity, reduce production costs, and support agricultural sustainability. By using the MAUT method, this research proves that a data-based approach can help make more rational decisions in the agricultural sector.
APPLICATION OF SIX SIGMA METHOD TO REDUCE DEFECT RATE IN BREAD PRODUCTION Ikhsan Nurrobbil, Damar; Roder, Klause
Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v5i2.983

Abstract

This research discusses the application of the Six Sigma method with the DMAIC approach to reduce the defect rate of bread products at Fadillah Bakery. Through seven days of observation, 248 defective products were found from 2.100 samples with an average Defect Per Million Opportunities (DPMO) of 118.095,2 and asigma level of 2,19. The analysis showed that the factors causing product defects include human error (lack of training and accuracy), non-optimal work methods, and improper roasting machine settings. The proposed improvement measures include increased worker training, scheduling machine maintenance, and stricter supervision. The proposed improvement measures included increased worker training, scheduling machine maintenance, and stricter supervision. The results prove that the implementation of Six Sigma is effective in reducing defect rates, improving product quality, and production process efficiency. Continued implementation is expected to improve Fadillah Bakery's competitiveness and customer satisfaction of Fadillah Bakery.

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