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Desimal: Jurnal Matematika
ISSN : 26139073     EISSN : 26139081     DOI : -
Core Subject : Education, Social,
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
Application of de novo programming method in production planning at UMKM seasoning Opaque Tuntungan II Damanik, Mahyuni Br; Aprilia, Rima
Desimal: Jurnal Matematika Vol. 7 No. 3 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i3.24430

Abstract

Optimization is a way of solving mathematical problems to get optimal results. One way to solve optimization problems is to use a linear program. One of the developments of linear program models that can be used in optimization problems is de novo programming. This research uses de novo programming to maximize profits at UMKM Seasoning Opaque. Based on the results of the analysis with the POM-QM application, it can be concluded that the production of Tuntungan II seasoning opaque factory for 7 weeks is optimal with the production of 2,031 kg of salted seasoning opaque, 1,170 kg of regular spicy seasoning opaque, and 3,381 kg of round spicy seasoning opaque. Using the De Novo Programming method, it was found that the optimal production for 7 weeks of the opaque spice factory in Tuntungan II for 7 weeks had a profit of Rp12,317,240.
Odd harmonious labeling on the union of flower graphs Firmansah, Fery; Tasari, Tasari; Sungkono, Joko
Desimal: Jurnal Matematika Vol. 7 No. 3 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i3.24612

Abstract

Applications of graph labeling in the fields of communication network addressing, database management, secret sharing schemes, and cryptology. Graphs that satisfy the odd harmonious labeling property are called odd harmonious graphs. The purposes of the research are to obtain the construction of the union of zinnia flower graphs, the union of double quadrilateral flower graphs, the rosella flower graphs, and the union of rosella flower graphs. The research method consists of literature study, graph class construction, graph labeling construction, theorem construction, and proof. The result of the research proves that the union of the zinnia flower graph, the double quadrilateral flower graph, the rosella flower graph, and the union of the rosella flower graph satisfies the odd harmonious labeling property. Thus, the novelty of this research is that the properties of the new graph class of odd harmonious graphs are obtained.
Cluster analysis of Sumatra Island earthquake distribution Anggraini, Dian; Indratno, Sapto Wahyu; Mukhaiyar, Utriweni; Puspito, Antonius Nanang T.
Desimal: Jurnal Matematika Vol. 7 No. 3 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i3.25108

Abstract

Sumatra Island is highly vulnerable to earthquakes due to multiple seismic sources, including megathrusts, faults, and volcanic activities spanning from Aceh to Lampung. The International Seismological Centre (ISC) has recorded 9,414 earthquakes in Sumatra with magnitudes ranging from 4.0 to 9.1 since 1907. Insufficient preparedness in responding to sudden earthquakes challenges local and central governments in managing impacts. To address this, a risk classification of earthquake-prone areas was conducted using cluster analysis. The "K-means cluster" method identified five earthquake clusters in Sumatra. Cluster 4 has the most events (3,787) but with generally lower magnitudes, resulting in minimal damage. Cluster 2, however, is more concerning due to shallow earthquakes from subduction zones, faults, and volcanoes. This clustering analysis provides critical information for government planning in earthquake risk mitigation and preparedness.
The improvement of understanding the concept of building space through prodigy-based digital educational games with an instructional learning model Syaripudin, Ahmad; Prastowo, Andi; Noor Auliya Huda
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/kyam2272

Abstract

Mathematics learning at the Madrasah Ibtidaiyah level still faces various challenges, such as students' lack of understanding of basic mathematical concepts and their low motivation in following lessons. One of the contributing factors is the limited learning methods and strategies applied. This study aims to explore the application of the Instructional Games model through the use of Digital Game-Based Learning (DGBL) technology, especially by using the Prodigy website, in improving students' understanding of mathematics. The research method used is qualitative, with an in-depth interview approach to obtain data. The results of the study indicate that the use of Prodigy as part of Digital Game-Based Learning (DGBL) is effective in improving students' understanding of mathematical concepts and improving their learning engagement and motivation. These findings suggest that schools, especially Madrasah Ibtidaiyah, consider integrating DGBL into mathematics learning to improve students' understanding and collaboration skills.
Analysis of account representatives on taxpayers in lampung province using structural equation model Rinaldi, Achi; Devi, Yulistia; Widyastuti, Rany
Desimal: Jurnal Matematika Vol. 7 No. 3 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i3.25866

Abstract

Tax policy was crucial as it influenced economic growth. The tax rate was determined by the income level of the population. To improve tax administration quality, the government developed infrastructure and enhanced the services of tax office employees. By gathering taxpayers' opinions, the quality of services and oversight could be analyzed to refine tax administration performance in the future. This study aimed to determine the effect of service quality, consultation, and supervision by account representatives on taxpayer compliance. It employed a quantitative approach, utilizing various statistical tests with SEM analysis. The population consisted of 97,714 active taxpayers registered at six KPP Pratama offices in Lampung in 2022. The sample size was determined using the Slovin formula, resulting in 100 taxpayers selected through Simple Random Sampling. Data were collected directly from active taxpayers using a questionnaire as the research instrument. The findings revealed that the variables of service quality, consultation, and supervision by account representatives had a significant influence on taxpayer compliance, both partially and simultaneously.
Mathematical connection ability in solving hots questions on systems of linear equations in two variables material Afriani, Diana; Machromah, Isnaeni Umi
Desimal: Jurnal Matematika Vol. 8 No. 1 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i1.25923

Abstract

In the world of mathematics education, mathematical connection skills played an important role, especially in dealing with Higher Order Thinking Skills (HOTS) type questions, where students were required to understand and solve problems well. However, in reality, many students faced difficulty in solving these problems. This research aimed to analyze junior high school students' mathematical connection abilities in solving HOTS questions on systems of linear equations in two variables material. The study used a descriptive method to understand the phenomenon being investigated. Data collection techniques included tests, which assessed specific aspects of student abilities, and interviews, which enabled the researchers to observe and analyze students' behavior in their natural context. The results indicated that students with high mathematical ability demonstrated connections that met all three indicators of mathematical connection, students with moderate mathematical ability fulfilled two indicators well, and students with low mathematical ability fulfilled only one indicator of mathematical connection adequately.
Teaching and learning mathematics with problem solving approach: Learning activities and instructional practice Noura, Karim; Pradana, Kenny Candra; Syazali, Muhamad
Desimal: Jurnal Matematika Vol. 8 No. 1 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i1.26004

Abstract

This study examined the implementation of problem-solving-based learning in mathematics education within schools in Victoria, Australia. It aimed to evaluate its effectiveness in enhancing students' critical, logical, and creative thinking skills while identifying challenges in integrating this approach into the curriculum. A qualitative descriptive method was employed, involving literature review, classroom observations, and informal interviews with teachers and students. Data collection focused on exploring instructional practices and their alignment with curriculum objectives. Results indicated that problem-solving activities fostered conceptual understanding and practical application of mathematics in real-life scenarios. Examples, such as measuring distances using average steps and solving optimization problems, demonstrated increased student engagement and comprehension of mathematical concepts. However, challenges included teachers' limited understanding of problem-solving strategies, insufficient resources, and language barriers in interpreting real-world problems. Despite these obstacles, integrating structured activities and diverse instructional strategies proved to be a promising method for improving mathematical learning outcomes. These findings underscore the importance of aligning pedagogical practices with curriculum goals to enhance mathematics education.
Students' errors in solving HOTS mathematics problems based on newman's theory in view of learning independence Setianingkrum, Reni; Utami, Nida Sri; Faiziyah, Nuqthy
Desimal: Jurnal Matematika Vol. 8 No. 1 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i1.26179

Abstract

Mathematics plays a crucial role in developing students' cognitive skills, particularly at the junior high school level. One type of question commonly used in assessments is the Higher Order Thinking Skills (HOTS) question, which requires students to think critically, creatively, and analytically. However, many students still struggle with solving HOTS questions, often due to insufficient understanding of basic concepts, difficulties in applying those concepts, and low levels of self-directed learning. This study aims to provide an overview of student errors in solving HOTS problems based on Newman Theory in terms of learning independence. The method used in this research is a descriptive qualitative approach that worked on HOTS questions. Data were collected through tests, interviews, and self-directed learning questionnaires. The findings indicate that students' errors are largely related to challenges in concept mastery (K1), problem-solving strategies (K2), and a lack of independence in learning. Moreover, students with higher levels of self-directed learning performed better in solving HOTS questions. Based on these findings, it is recommended that educators implement teaching strategies that enhance students' self-directed learning, such as problem-solving activities and regular HOTS practice, to reduce errors in solving questions that require higher-level cognitive skills.
Indonesia’s total fertility rate (TFR) using the brown and holt double exponential smoothing with grid search Rahma, Chelsea Fatihah; Fitriyati, Nina; Inna, Suma; Adjie, Dharma Syadhi Putra
Desimal: Jurnal Matematika Vol. 8 No. 1 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i1.26332

Abstract

The Brown and Holt DES method effectively captures trends in time-series data. Its forecasting accuracy heavily depends on the selection of optimal smoothing parameters. Often, the smoothing parameters are selected manually using trial and error methods. This method is time-consuming, unsystematic, prone to bias, not scalable, less reproducible, and increases the risk of overfitting or underfitting. To overcome these problems, in this study, we propose optimization of smoothing parameters using Grid Search. This new approach will be applied to predict Indonesia’s TFR. Grid Search optimization is employed to systematically explore the parameter space and identify the best combination that minimizes forecasting errors. To ensure model robustness, cross-validation is implemented, allowing the evaluation of model performance across multiple training and validation splits. The results show that the Holt DES method with Grid Search is more accurate than the Brown DES with Grid Search, with the smallest Mean Absolute Percentage Error (MSE) value of 0.00972 at  and . Predictions with Holt DES with Grid Search show a downward trend in the national TFR until 2027, potentially falling below the ideal level of 2.1. TFR predictions at the provincial level show pattern variations, with several regions experiencing significant declines. The difference in results between the Brown and Holt methods emphasizes the importance of optimizing smoothing parameters and selecting an appropriate population-analysis prediction model to support demographic policy.
Diabetes risk prediction using logistic regression model Rassiyanti, Linda; Farid, Fajri; Pitri, Rizka
Desimal: Jurnal Matematika Vol. 8 No. 1 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i1.26493

Abstract

This study aims to analyze the factors that contribute to diabetes using the logistic regression method. The data used in this study include variables of number of pregnancies, glucose levels, blood pressure, skin thickness, insulin levels, body mass index (BMI), family history of diabetes, and age. The logistic regression model was applied to determine the effect of each variable on the likelihood of a person having diabetes. Evaluation of model performance was carried out using the ROC (Receiver Operating Characteristic) curve, and the results obtained showed an AUC value of 0.8391, which indicated a very good classification ability of the model. The results of the analysis showed that the number of pregnancies, glucose levels, blood pressure, BMI, and family history of diabetes had a significant effect on the risk of diabetes.