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Desimal: Jurnal Matematika
Published by Universitas Islam Negeri Raden Intan Lampung
ISSN : 26139073     EISSN : 26139081     DOI : -
Core Subject : Education, Social,
Education Mathematics Social Sciences
Desimal: Jurnal Matematika, particularly focuses on the main issues in the development of the sciences of mathematics education, mathematics education, and applied mathematics. Desimal: Jurnal Matematika published three times a year, the period from January to April, May to Augustus, and September to December. This publication is available online via open access.
Arjuna Subject : -
Articles 330 Documents
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Multi-objective vehicle routing problem with time windows via genetic algorithm Ketaren, Dahlia Rizky; Parapat Gultom; Mahyuddin K.M. Nasution
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/630swz39

Abstract

Efficient waste transportation requires route planning that considers time constraints, vehicle capacity, and road conditions. This study develops a Multi-Objective Vehicle Routing Problem with Time Windows model to optimize waste collection routes in Batu Bara Regency. The model simultaneously optimizes three objective functions: minimizing total travel distance, travel time, and risk based on road conditions. The solution is obtained using a Genetic Algorithm, with field data serving as model input. Simulation results show that the proposed model produces more efficient and realistic routes compared to conventional methods. The model effectively accommodates vehicle capacity constraints and customer service time windows. With the Genetic Algorithm, the solutions are not only operationally effective but also adaptable to the complex road network in the study area. These results can inform local government and waste management agencies in developing more adaptive and data-driven routing strategies, leading to cost savings, improved service efficiency, and reduced environmental impact. Moreover, the model can be extended or customized for other public logistics problems, such as food distribution or emergency response in semi-urban areas with similar infrastructure constraints. Future research can enhance this model by incorporating dynamic traffic data, multi-depot scenarios, or integrating sustainability metrics such as fuel consumption and emissions.
Statistical integration in excise supervision: Multinomial logistic regression for detecting risk factors of tobacco factory excise violations Riansyah, Boy; Nisa Nur Aisyah; Anwar Fitrianto; Aam Alamudi
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/xxvpmv08

Abstract

Excise tax serves as a fiscal instrument used by the government to control the consumption of goods with negative externalities for society and the environment, such as tobacco and alcoholic beverages. In Indonesia, tobacco excise remains the largest contributor to national excise revenue, amounting to IDR 216.9 trillion in 2024, or approximately 95.8% of the total. Monitoring violations in the tobacco excise sector is crucial to safeguarding state revenue and ensuring regulatory effectiveness. In the context of classifying violations with more than two categories, multinomial logistic regression is an appropriate statistical method for analyzing the influence of independent variables on the probability of each violation type. This study aims to classify types of excise violations based on internal characteristics of tobacco manufacturers using multinomial logistic regression. The data were obtained from enforcement documentation in 2023 by the Directorate General of Customs and Excise, with four categories of violations serving as the response variable. The issue of class imbalance was addressed by comparing oversampling and weighting techniques. Evaluation results indicate that oversampling produced superior model performance. Partially, variables such as business entity type, asset ownership status, and company age significantly influenced the likelihood of specific violations. Companies with non-permanent asset ownership and complex organizational structures tend to have a higher risk of non-compliance. These findings underscore the importance of implementing risk-based supervision that considers operational profiles as key indicators of potential violations.
Logistics distribution optimization model using multi-depot capacitated vehicle routing problem Rajagukguk, Angie Maretha; Esther Sorta Mauli Nababan; Parapat Gultom
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/cazand26

Abstract

Logistics distribution is vital for enhancing the efficiency and competitiveness of Indonesia. This research focuses on logistics distribution by introducing temporary depots in strategic locations to address the growing demands of the rapidly expanding e-commerce and transportation industries. As consumers increasingly expect faster and more efficient deliveries, logistics systems must adapt with flexible solutions. Temporary depots offer a practical approach to reducing delivery time, optimizing vehicle routes, and improving service efficiency to meet modern distribution challenges. The Multi Depot Vehicle Routing Problem model developed focuses on optimizing depot locations, vehicle allocation, and delivery routes while minimizing total distribution costs, including shipping, vehicle usage, depot construction, and travel from the distribution center to temporary depots. This research addresses how to minimize operational distribution costs, considering logistical demand, vehicle capacity, region visits, and flow conservation, while adhering to non-negative and binary constraints. The model aims to contribute to more efficient logistics planning, operational cost savings, and enhanced supply chain sustainability in Indonesia.
Optimizing portfolio performance in indonesian banking stocks: An empirical application of the markowitz mean-variance framework Pulungan, Ahmad Fauzan; Riri Syafitri Lubis
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/nxebn152

Abstract

This study aims to construct an optimal investment portfolio in Indonesia’s banking sector using the Mean-Variance Markowitz approach. Employing a quantitative descriptive method, the research analyzes monthly closing stock prices of 10 banking companies listed on the Indonesia Stock Exchange from January to December 2024. Data processing was conducted using Microsoft Excel, including return calculation, risk measurement through standard deviation, covariance matrix formation, and portfolio optimization via the Sharpe Ratio. The findings reveal that the optimal portfolio consists of BRIS and PNBN stocks, achieving the highest Sharpe Ratio of 0.6639, which reflects a well-balanced risk-return profile. Conversely, the minimum-risk portfolio yielded a negative return, highlighting that lower risk does not always translate to profit. These results affirm the effectiveness of the Markowitz model in supporting rational investment decision-making, particularly for young investors.
Optimization of distribution and transportation systems using distribution requirement planning method and greedy algorithm Nova Audry Utami; R. Maisaroh Rezyekiyah Siregar
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/3saryv50

Abstract

Effective distribution and transportation systems are crucial for enhancing a company's competitive advantage and productivity. This research evaluates the application of the Distribution Requirements Planning method and a greedy algorithm to improve the distribution of crude palm oil at PT. Agrojaya Perdana. DRP is used to project distribution needs using a quantitative approach based on historical demand data. The research results demonstrate that the integration of Distribution Requirement Planning Method and the greedy algorithm is effective in increasing distribution efficiency, reducing delivery times, and optimizing distribution scheduling. Calculations using the integrated Distribution Requirements Planning method show that PT. Argojaya will supply 12,501 tons of Crude Palm Kernel Oil from May to October 2025. Furthermore, the greedy algorithm minimizes routes for each company and prioritizes shipments to PT. Musim Mas, resulting in a profit of IDR 17,851,743,750.
Mathematical literacy and learning styles: A study on student geometry learning Alma, Alma Saputri; Rochaminah, Sutji Rochaminah; Ismaimuza, Dasa Ismaimuza; Fajriani
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/qnh6ps42

Abstract

This study aims to analyze students' mathematical literacy in solving geometry problems reviewed from learning styles. This type of research is descriptive research. The approach used in this study is a qualitative approach. Data collection techniques include learning style questionnaires, written tests, and interviews. The credibility of the data in this study uses time triangulation. The data was analyzed descriptively to describe the results of students' mathematical literacy tests. The results of the study show that 1) students with visual learning styles in mathematics literacy are at level 2, because they are only able to solve level 1 and level 2 mathematics literacy problems, visual students have difficulty in solving mathematics literacy problems at a higher level; 2) Students with an auditory learning style in mathematical literacy are at level 4, able to do a more in-depth analysis when solving math literacy problems from level 1 to level 4, but have difficulty solving problems in levels 5 and 6; 3) Students with kinesthetic learning styles in mathematics literacy are only at level 1; kinesthetic students have great difficulty in solving mathematics literacy problems at a higher level.
Development of articulate storyline 3 based interactive media to support algebra learning Zahra, Fatimah; Reflina
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/gad76170

Abstract

This research is development research (Research and Development) with the aim of developing interactive learning media based on Articulate Storyline 3 on algebraic material for students in grade VII SMP/MTs to determine its feasibility and practicality. The development model used is the 4D model, which consists of four stages: Define, Design, Develop, and Disseminate. The results showed that the developed media obtained very high feasibility scores from material experts (87.5 percent) and media experts (89.3 percent). This indicates that the content is appropriate and the design supports effective learning. Furthermore, the practicality aspect was validated by responses from educators (94.2 percent) and students (89.4 percent), demonstrating that the media was easy to use, engaging, and supportive of classroom learning. These results suggest that the media not only meet academic standards but also resonate well with their users. Therefore, it can be concluded that the Articulate Storyline 3-based interactive learning media is both feasible and practical to be implemented in the teaching of algebra at the junior high school/MTs level. It is capable of helping students understand abstract mathematical concepts in a more interactive and enjoyable way, which may increase motivation and learning outcomes.
Application of the perceptron algorithm in selecting statistics laboratory assistants Astuti, Febriani; Kris Suryowati; Olin Putra Pratama; Anggelina Karolina Teti
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/br4tf213

Abstract

Artificial Neural Networks (ANN) are computational models inspired by the structure and function of the human brain, particularly in utilizing interconnected neurons to solve complex problems. One of the foundational algorithms in ANN is the Perceptron algorithm, which is capable of identifying patterns and classifying data based on a set of input variables. This research aims to implement the Perceptron algorithm in the selection process of Statistics Laboratory Assistants at Akprind University. The method involves the use of fuzzy logic to assign weights to seven assessment variables determined by the laboratory: student semester, Grade Point Average (GPA), attitude, activeness during lectures, health condition, organizational involvement, and leadership. A dataset of 40 student records was used for training and testing the model. The results showed that the Perceptron algorithm, when integrated with fuzzy logic, successfully classified the data with an accuracy of 100%. In conclusion, the combination of the Perceptron algorithm and fuzzy logic proved to be effective in recognizing selection patterns, making it a reliable method for supporting the assistant recruitment process in the Statistics Laboratory at Akprind University.
The multiplicative decomposition method: Prediction of tuberculosis cases in Medan City Fikry, Fikry Wira Afandi; Rima, Rima Aprilia
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/hygtq021

Abstract

This study aims to predict the number of Tuberculosis (TB) cases in Medan City for the year 2025, providing valuable information for healthcare workers and relevant stakeholders in their efforts to prevent and control TB infections. The research employs the Multiplicative Decomposition method, which divides time series data into four components: trend, seasonal, cyclical, and random. Utilizing TB case data from January 2020 to December 2024, obtained from the Medan City Health Department, the results indicate that the Multiplicative Decomposition method achieved a Mean Absolute Deviation value of 0.0376, a Mean Square Error value of 0.0549, and a Mean Absolute Percentage Error value of 0.00347%, demonstrating very good forecasting accuracy as all values are below 10%. The findings conclude that the Multiplicative Decomposition method is effective for estimating future TB cases, thereby supporting public health initiatives in Medan City.
Study of mathematical literacy ability of grade VIII students in solving PISA problems in view of gender Turianda, Nanza; Jumaisyaroh Siregar, Tanti
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/qqcab316

Abstract

This study aims to analyze the mathematical literacy skills of grade VIII students at MTS Darul Ilmi Batang Kuis in solving Programme for International Student Assessment (PISA) questions based on gender. This research used descriptive qualitative method. The research subjects consisted of 20 students, including 10 male students and 10 female students selected through purposive sampling. Data collection techniques include data reduction, data presentation, and conclusion drawing. The data analysis techniques used were tests, interviews, and documentation. This study used triangulation as a data verification technique. The problems used in this study were estimated to be at Level 3 (easy), Level 4 (medium), and Level 5 (difficult), and analyzed based on aspects of mathematization, communication, reasoning, and argument. Only two students (one male and one female) reached Level 3. The total score for the male student was 21, while the female student obtained a total score of 20, with the rest remaining at Level 2. Conclusion Analysis was conducted using the scoring rubric and interviews. On average, the results showed that male students' mathematical literacy skills were slightly higher compared to female students. This study recommends the importance of implementing learning strategies that take into account gender differences and strengthen students' understanding of contextualized mathematical concepts to improve overall mathematical literacy.

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