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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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Ordinal logistic regression model on the level of job relevance of graduates Sunanto, Rahma Faelasofi; Nisa, Khoirin
Desimal: Jurnal Matematika Vol. 6 No. 3 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i3.19716

Abstract

The ordinal logistic regression model is one of the statistical models used to classify ordinal data. The purpose of this study is to identify the relevance of FKIP Muhammadiyah Pringsewu University Lampung graduates. The population in this study were FKIP Muhammadiyah Pringsewu University Lampung graduates in three academic years from 2018-2021. The total of the sample in this study was 133 graduates. There was missing data that was classified as Missing Random (MAR). The ordinal logistic regression model used an odds proportion model. This study will analyze the relationship between the response variable is the relevance of the graduate's work according to the field of work that has three classifications high, medium, and low, against the nine predictor variables predicted affecting the predictor variable. The result of the data description available stated that 80.3% of graduates had a high level of job relevance, 11.4% of graduates had a moderate level of job, and 8.3% of graduates had a low level of job relevance. Then the result of the ordinal logistic regression model using the proportional odds model showed that the variable predictor IPK graduates with categories 3.01-3.50; 3.406; and 3.51-4.00, predictor variable of looking for or getting a job either before or after, and variables predictor types of permanent jobs give a significant influence on the level of job relevance of graduates.
Backpropagation algorithm modeling to predict the number of foreign tourist visits to indonesia via air gates Astuti, Febriani; Bekti, Rokhana Dwi; Br Keliat, Aurora Arianita; Sebo, Theodorina Inya
Desimal: Jurnal Matematika Vol. 6 No. 3 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i3.19751

Abstract

The tourism sector is a supporting sector for the Indonesian economy. One of the important actors in Indonesian tourism is foreign tourists. After the COVID-19 pandemic, the trend of foreign tourist visits to Indonesia has increased. The Central Statistics Agency (BPS) recorded that foreign tourist visits to Indonesia during 2022 reached 5.47 million. This figure has increased by 251.28% compared to the 2021 period. According to BPS, one of the gates most accessed by foreign tourists is the air gate. Based on these conditions, this research aims to predict the number of foreign tourists coming to Indonesia via air gates. The method used to predict is the backpropagation algorithm. The use of the backpropagation algorithm is able to provide prediction results with the highest level of accuracy of 91.40% for tourist visits at Ngurah Rai Airport, Bali. Furthermore, an MSE value of 0.056 was obtained. Thus, predictions using the backpropagation algorithm can be said to be good and quite accurate and can be used for prediction calculations in the following year.
The model of goods delivery using multi depot vehicle routing problem at PT X Sulistyono, Eko; Handayani, Vitri Aprilla; Reza, Widya; Islamiati, Dian
Desimal: Jurnal Matematika Vol. 6 No. 3 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i3.20062

Abstract

Vehicle Routing Problem (VRP) is a problem in shipping that focuses on distributing goods from a depot to customers. There are several developments from VRP, one of which is the Multi Depot Vehicle Routing Problem (MDVRP). The MDVRP model has the same goal as the VRP, which is to minimize travel costs. The difference between VRP and MDVRP depends on the depot used. In VRP, only one depot is used. Whereas in MDVRP, there is more than one depot used. This research discussed the delivery of goods to two depots. The aim of this research is to form a model for shipping goods using two depots, determine the total travel cost, and determine the optimal route to delivery of the goods. The data used in this research is secondary data. The result of this research is that the model for the MDVRP aims to minimize the total travel cost by using two depots and serving 10 customer locations. The total cost of the trip is IDR 390,000, with a total distance traveled as far as 300 km, and the optimal routes for delivering goods involve each depot making two trips. The first depot covers distances of 57 km and 48 km, and the second depot covers distances of 92 km and 103 km.
Comparative analysis of the math learning process implementation in perspective of teachers' work period Pradana, Kenny Candra; Rosidin, Undang; Wijaya, Agung Putra
Desimal: Jurnal Matematika Vol. 7 No. 1 (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.v7i1.20247

Abstract

The role of mathematics teachers in the success of the learning process can be seen from the perspective of the work period, which reflects the level of experience. Therefore, this research aims to analyze the comparison of the implementation of the mathematics learning process from the perspective of the teacher's work period. The type of research carried out in this study is qualitative descriptive research. The subjects in this research were 2 mathematics subject teachers at one of the state junior high schools in South Lampung, with the criteria being 1 junior teacher and 1 senior teacher. Data collection techniques use participant observation, interviews, and documentation. The implementation of the learning process is measured using instruments in the form of observation sheets and interview guides. The observation sheet uses the Guttman scale and the Likert scale. The data analysis technique uses Miles and Huberman's steps, which consist of data collection, data presentation, data reduction, and verification or drawing conclusions. Based on the research results, it was found that both junior and senior teachers had good criteria for implementing the mathematics learning process. So, it can be concluded that differences in teachers’ work periods do not affect the process of implementing mathematics learning. Based on these results, support from the school must play an important role. Both junior and senior teachers must receive sufficient support from school management, continuous training, and guidance so that they can achieve good criteria in implementing the mathematics learning process.
A comparison benefit reserves of an n–year term life insurance between using the vasicek model and cox-ingersoll-ross model Kamila, Isti; Andriyati, Ani; Rohaeti, Embay
Desimal: Jurnal Matematika Vol. 7 No. 1 (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.v7i1.20607

Abstract

The purpose of this study was to determine benefit reserves with the premium sufficiency method that would be applied to types of term insurance with non-constant interest rates by using the Vasicek and Cox-Ingersol-Ross models. The novelty of this study is in determining term insurance benefit reserves by comparing benefit reserves using the Vasicek and Cox-Ingersol-Ross interest rate models so that it can be a decision-maker for insurance companies. The stages of this research activity started by estimating the parameters for the Vasicek and Cox-Ingersoll-Ross (CIR) interest rates. The next step was to estimate the interest rate on Vasicek and CIR. Then, estimate the reserve value of term insurance benefits using the premium sufficiency method with non-constant interest rates. At the final stage, the results of the reserve value of benefits with non-constant interest rates and CIR would be interpreted and compared. The results of the research obtained by the CIR interest rate were always positive, and the difference in interest rates between each time was not too large compared to Vasicek. This was in line with the reserve results of the benefits obtained. The difference in benefit reserves between times using Vasicek was greater than that of the CIR interest rate model.
Development of student worksheets for algebra material based on an open-ended approach to support reasoning skills Fadhillah, Mulayyin Azhar; Toyib, Muhamad
Desimal: Jurnal Matematika Vol. 7 No. 1 (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.v7i1.20733

Abstract

The Open-Ended approach allows students to develop mathematical reasoning abilities. Using an Open-Ended approach allows students to find various solutions to their problems. This study aims to develop mathematics Student Worksheets based on Open-Ended approaches to valid and practical algebra material and to discover that the mathematics Student Worksheets created can support students' reasoning abilities. This development research is based on the 4-D development model. The study subjects were in the 7th grade at Muhammadiyah 3 Sambungmacan Junior High School. Research data was obtained through observation, questionnaires, and reasoning ability tests. Data analysis techniques include validity tests, practicality tests, and effectiveness tests. The results of the data analysis show that the quality of Student Worksheets seen from the aspect of validity is included in the valid category with an average score of 3.11, based on expert assessment. From the practicality aspect, the Student Worksheet is declared practical based on the results of teacher responses with an average score of 3.00 and student responses with an average score of 3.22. The effectiveness of Student Worksheets based on the results of the reasoning ability test obtained a score of 57.65%, including being in the category of quite effective. Therefore, the Student Worksheet is feasible, practical, and quite effective to use.
The impact of discrete mathematics lectures on students' deductive reasoning: The case of graph theory learning Maliana, Rahma; Fuady, Anies
Desimal: Jurnal Matematika Vol. 7 No. 1 (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.v7i1.21014

Abstract

This research aims to investigate the impact of the discrete mathematics lecture process on deductive reasoning abilities, especially in carrying out proofs in graph theory. This research uses qualitative research based on the results of observations of the learning process in the Discrete Mathematics course. The subjects of this research were three students from the Mathematics Education Study Program who were pre-service teachers and in-service mathematics teachers at a university in Malang. The data collection technique is a description and observation test question sheet. The research results show that the process of learning graph theory in discrete courses is through explanations related to the definition of graph coloring, examples of the application of theorems, practice questions through guided proof with lecturers, and the application of graph coloring theory in everyday life. Overall, the graph theory learning process emphasizes deductive reasoning abilities. Based on the results of the analysis of the four-color theorem test, in general, it succeeded in having a good impact on students in the mathematics education study program.
Semicontinuous endowment insurance premium valuation using quadratic fractional age assumptions Fauziah, Irma; Amalia, Ayu
Desimal: Jurnal Matematika Vol. 7 No. 1 (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.v7i1.21113

Abstract

The classic assumptions used to calculate fractional ages in valuing insurance premiums with payouts made immediately after death result in discontinuous probabilities of immediate death at integer ages because the assumption only applies to a 1-year time interval, specifically . The new assumption, namely the quadratic fractional age assumption, has successfully introduced continuity at integer ages. This study discusses the conditions for applying the quadratic fractional age assumption and its influence on the calculation of semi-continuous dual-purpose insurance premiums, where the policyholder's beneficiaries receive the sum assured if the insured individual passes away before the contract ends or receive protection if the policyholder survives until the end of the contract, with premium payments made on a monthly basis. Simulation results indicate that not all mortality tables meet the requirements for the quadratic fractional age assumption, where the value falls between . Only the Commissioners Standard Ordinary Table 1958 meets this criterion. Monthly premiums calculated using the quadratic fractional age assumption yield smaller values compared to premiums calculated using the constant force of mortality assumption and the uniform distribution of death assumption.
The estimation of the hazard function of earthquakes in aceh province with likelihood approach Maulidi, Ikhsan; Novika, Fanny; Mahmudi, Mahmudi; Apriliani, Vina; Syazali, Muhamad
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.v7i3.21489

Abstract

In this article, we propose a novel application of the single decrement method with a likelihood approach to estimate the hazard function of earthquake events in Aceh province. While this method has traditionally been used in actuarial sciences for mortality table estimation, its application in seismic hazard estimation represents a new perspective in the field of earthquake risk analysis. To enhance the accuracy of the model, we applied the Box-Cox transformation to normalize the data and used simple regression to formulate the hazard function. Our results demonstrate that a cubic equation provides a more accurate model compared to linear and quadratic equations, as evidenced by the lower Mean Square Error (MSE). This study offers a new approach to hazard rate estimation that surpasses conventional methods by providing more informative and interpretable results for earthquake risk assessment.
Ideal distribution route: An optimization approximation by using random search method Arsy, Abdu Afin; Shalih, Faris Alaudin; Al Husein, Fulkan Kafilah; Abdurrazzaq, Achmad
Desimal: Jurnal Matematika Vol. 7 No. 1 (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.v7i1.21580

Abstract

Distribution is the process of transferring goods from producers to consumers. In this process, both producers and consumers always expect a more efficient distribution system. One way to create an efficient distribution channel is by determining the ideal point for vital objects. By determining the ideal point, an optimal solution can be obtained in minimizing costs and improving the efficiency of the distribution system. This research discusses the determination of the ideal point using numerical optimization methods. Analytical and numerical approaches are used through the Modified Random Search method to formulate and analyze a mathematical model that can provide an optimal solution to the distribution problem. The proposed algorithm will be implemented to solve the energy distribution problem in the real environment. The aim is to test the effectiveness and accuracy of the proposed algorithm based on the solutions obtained. Based on the experimental results, distribution problems in general and energy distribution in particular are addressed better, and the distribution process is more efficient.

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