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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 67 Documents
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LINEAR PROGRAM MODEL FOR PROFIT OPTIMIZATION IN MEATBALL SALES USING GRAPH METHOD Hasanah Tri Amisri, Nurul; Tribuana Citra, Indah; Hafizah Siregar3, Anisa; Aprilia, Tria Aprilia
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 2 (2023)
Publisher : Pena Cendekia Insani

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Abstract

The production process is an important thing that can affect profits. The production process also needs to be considered to increase profits to be more optimal. This optimization problem is still an obstacle for most businesses, one of which is the sale of meatballs with the owner of Bakso Bang Riski and Tante Juli located on Jl. Lapangan Golf Tuntungan.This study aims to optimize profits on meatball sales through the application of linear program models with the graph method. In the sale of meatballs studied using meat and flour raw materials to produce 200 servings of meatballs per day with a price per serving of Rp. 5000 and an average income of Rp. 200,000 per day. This research uses a qualitative approach with descriptive analysis, developing mathematical models in the form of decision variables, objective functions, and constraint functions. The analysis results show that the graph method is effective in maximizing profits, with a maximum income of Rp4,000,000 per month and a profit of Rp3,800,000 or 80% of the total initial income. This method provides a practical solution for MSME players to improve production efficiency and business profits through a mathematical approach
IMPLEMENTATION OF LINEAR PROGRAM USING SIMPLEX METHOD TO OPTIMIZE PRODUCTION RESULTS IN A CONVECTION SHOP Ananta Br Sembiring, Dwi; Jovanka, Aishikin; Wulan Lestari, Azizah; Mahyudin; Azhari Tampubolon, Rahmad
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 2 (2023)
Publisher : Pena Cendekia Insani

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Abstract

This study aims to optimize production at the Belva Busana convection shop using a linear programming method with a simplex approach. This study considers production constraints such as raw material availability, working hours, and labor capacity, and focuses on maximizing profits. Data were collected through online interviews with the production team for six days, from October 27 to November 3, 2024. The linear programming model built showed optimization results with an optimal production composition of 9.6 shirts and 19.2 housedresses, resulting in a maximum profit of IDR 300,000. The results of the study prove that the simplex method is effective in allocating resources efficiently, reducing waste, and increasing productivity. This method has also proven to be practical in making production decisions to increase efficiency and profitability
ANALYSIS OF USER SATISFACTION OF ONLINE MOTORCYCLE TAXI APPLICATIONS USING THE LITERATURE REVIEW METHOD Nay Marbintang, Fadillah; Andania, Rafika; Indriyana, Balqis; Wandari, Rizky; Salsabila, Lisa; Samroiyah, Juwita
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 2 (2023)
Publisher : Pena Cendekia Insani

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Abstract

Technological developments have brought major transformations in the transportation sector, one of which is through the presence of online motorcycle taxi applications such as Gojek and Grab. This study aims to analyze user satisfaction of online motorcycle taxi applications using the literature review method. Data is collected from relevant scientific journals, articles, and research reports. The main factors that affect user satisfaction include service quality, price, ease of use of the application, and features offered. The results of this study provide insights for application developers to improve service quality and meet user expectations.
ANALYSIS OF UINSU FEMALE STUDENTS' PREFERENCES FOR LIPSTICK SELECTION USING THE CHI SQUARE TEST Putri Oktavia, Ade; Prasetyo, Dimas; Syifa Gultom, Fairus; Ritonga, Fatimah; Ardena Br Ginting, Nike; Taulia Br Tarigan, Sabrina
Journal of Mathematics and Scientific Computing With Applications Vol. 4 No. 2 (2023)
Publisher : Pena Cendekia Insani

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Abstract

This study aims to identify and analyze the factors that influence the preferences of female students of the State Islamic University of North Sumatra (UINSU) in choosing lipstick products that took place from 28 to 30 October 2024. The factors studied include the attributes of color, aroma, type of lipstick, price, and brand. This research uses quantitative methods with a comparative causal approach and chi-square analysis. Primary data is obtained from data collected directly from respondents through surveys using questionnaires. And secondary data is obtained from information on previous research reports, books, academic journals, and official documents. Research results show the decision to buy lipstick, from highest to lowest is color with 14.84, type 12.6655, brand 10.4346, aroma 8.7185, and price 12.2059. when viewed from the order, the higher the Ao value, the quality of the lipstick is at the top of the list that is most concerned by the respondent, and so on. Therefore, table 4.9 shows that rank 1 is color, rank 2 is type, rank 3 is aroma, rank 4 is brand and the last rank is the aroma of lipstick.
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.
Analysis of the Accuracy Level of Using the Monte Carlo Method in Predicting the Number of Dengue Fever Sufferers Nurhabidah, Fauziah
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.v5i2.984

Abstract

Dengue fever is an infectious disease that continues to be a threat to public health in Indonesia. The increasing number of sufferers every year requires accurate prediction strategies to support effective prevention and control policies. This study aims to analyze the level of accuracy of the Monte Carlo method in predicting the number of dengue fever sufferers in Indonesia, especially in North Sumatra Province. The data used in this research is data on dengue fever cases from 2021 to 2023 obtained from the Central Statistics Agency (BPS) and the Health Service. The prediction process is carried out using Monte Carlo simulation which involves a probability-based random calculation process. The research results show that the Monte Carlo method has a fairly high level of accuracy in predicting patterns of dengue fever cases, with an accuracy value of 3440 (99.41%) compared to other conventional prediction methods. In addition, this method is proven to be flexible in dealing with variations in fluctuating data patterns. It is hoped that this research can contribute to strategic decision making, especially in mitigating dengue fever through more accurate predictions.
ANALYSIS OF RAW MATERIAL INVENTORY MANAGEMENT USING THE ECONOMIC ORDER QUANTITY (EOQ) METHOD TO DETERMINE PERIODIC ORDER QUANTITY (POQ) AT EMI BAMBANG’S OPAK FACTORY Hanifa Lubis, Nurul
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.v5i2.985

Abstract

The study aims to analyze the management of raw material inventory at Emi Bambang Opak Factory through the application of an effective method, namely Economic Order Quantity (EOQ) in determining Periodic Order Quantity (POQ). To determine the optimal order quantity, EOQ is used, while POQ is implemented to determine the efficient ordering interval. The results of this study are the determination of the POQ method at the emi bambang opak factory with a cost difference of Rp 30,717,480 for the cost of managing raw materials and ordering raw materials, this can provide solutions in more economical inventory management, to minimize the cost of storing and ordering raw materials without disrupting production continuity.

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