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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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KumahAbi method in the inquiry model: Improved concept understanding in multiplication materials Pratama, Ramadhany Adam; Puspita, Hany Dwi; Hoor, Adriana R. Elsa; Abdurrazzaq, Achmad
Desimal: Jurnal Matematika Vol. 6 No. 2 (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.v6i2.18400

Abstract

Mathematics is a subject studied from elementary school to university level. At the elementary school level, mathematics learning aims to provide students with an understanding of the concept of numbers. There are four basic arithmetic operations that must be mastered by primary school students, namely addition, subtraction, multiplication, and division. The concept of multiplication has a higher level of difficulty than addition or subtraction, so students need more time to master this concept. Learning methods applied in the classroom are important in encouraging students to understand learning. Conventional learning methods force students to memorize multiplication concepts, so students only memorize and do not understand basic concepts. Therefore, we need a learning method that can stimulate students' logical thinking and creativity in solving multiplication problems systematically. In this research, a new learning method was introduced by combining the inquiry learning model called the KumahAbi method. The results of this study show that the implementation of the KumahAbi method in learning is very effective in improving students' understanding of multiplication.
Logistic regression modelling at insurance interest: Theory of planned behavior Hakim, Lukmanul; Santoso, Agus
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.v6i3.18621

Abstract

One of the characteristics of people who have good financial literacy is having good risk management skills. This study aims to make logistic regression modeling of risk management or insurance interests from Sumbawa University of Technology lecturers. This research uses quantitative methods by combining mathematical theory, statistics, and management science (Theory of Planned Behavior). This research uses primary data from Sumbawa University of Technology as samples. From the data collected using the probability sampling method, it was found that of the four variables (literacy as X_1, inclusion as X_2, family as X_3, gender as D_1, and insurance interest as Y) used, only the family variable had a significant impact on increasing someone's interest in insurance (opportunity). The exponential values of the four variables are: X_1= 3.230 means 1 unit in the literacy variable will have an impact on the possibility of increasing interest in insurance by 3.230 times, X_2= 0.548 means 1 unit in the inclusion variable will have an impact on the possibility of increasing interest in insurance by 0.548 times, X_3=3.886 means 1 unit in the family variable will have an impact on the possibility of increasing interest in insurance by 3.886 times, and D_1=0.813 means the male gender has an impact 0.813 times greater than the female sex on increasing interest in insurance.
Development of integrated vector algebra e-book islamic values and local culture Pratiwi, Dona Dinda; Dewi, Novian Riskiana; Kuswanto, Cahniyo Wijaya; Wulandari, Dewi
Desimal: Jurnal Matematika Vol. 6 No. 2 (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.v6i2.18700

Abstract

In proving a theory or mathematical concept, students experience many difficulties in this regard. So we need teaching materials that can support the learning process of students in overcoming this. The purpose of this study was to develop an integrated vector algebra e-book of Islamic values and local culture (Lampung). With this e-book, the learning process does not only carry mathematics education but also Islamic and cultural values. So that students can get to know local culture more closely, giving them more character and quality. Data collection techniques in this study were observation, Product Validation Instruments, Student Response Instruments, and Product Test Documentation. The results showed that an average of 85% was obtained with the attractiveness test criteria achieved, namely "very interesting". The data obtained means that the e-book being developed has interesting criteria for use as teaching material. The effectiveness of using a Vector Algebra e-book is 0.75 in the medium category.
The influence of climate change and country-based conflict on crop production: Evidence based on global panel data in the last decade Rahman, Juli Yandi; Rachmawati, Ro'fah Nur; Nugraha, Arya Muditama; Widjanarko, Farrell Tajusalatin
Desimal: Jurnal Matematika Vol. 6 No. 2 (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.v6i2.18928

Abstract

In the past decade, the food crisis has become a special concern for the international community. This is in the spotlight as the earth ages, increasingly changing climatic conditions lead to erratic crop yields and worsening crop quality. On the other hand, this condition is exacerbated by the increasingly tense dynamics of international politics which leads to conflict between countries. For this reason, we investigated the relationship between these conditions using the linear mixed model method. In this article, the model obtained is able to describe the real conditions currently occurring regarding the relationship between climate change, conflict between countries and crop production. Among other things, it is known that the majority of continents are carrying out agricultural extensions and intensifying efforts to reduce CO2 emissions, to increase crop production. On the other hand, as time goes by, the model shows that environmental temperature fluctuations are getting bigger. Apart from that, conflict factors apparently exacerbate the effects of climate change which directly affects crop production. This article also provides suggestions for countries on a continent to increase crop production while maintaining climate balance.
Comparison of quantile regression and censored quantile regression methods in the case of chicken consumption Sarmada, Sarmada; Yanuar, Ferra; Devianto, Dodi
Desimal: Jurnal Matematika Vol. 6 No. 2 (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.v6i2.18949

Abstract

The censored quantile regression method is a parameter estimation method that can be used to overcome censored data and BLUE (Best Linear Unbiased Estimator) assumptions that are not met. This research aims to compare the quantile regression method and the censored quantile regression method on data on chicken consumption cases in West Sumatra. The smallest RMSE (Root Mean Square Error) is an indicator of the goodness of the model. This research proves that the censored quantile regression method tends to produce smaller RMSE values than the quantile regression method. So it is concluded that the censored quantile regression method is the appropriate method for estimating parameters with censored data.
Application of singular spectrum analysis (SSA) method on forecasting train passengers data in sumatera Fitriani, Debi Nur; Widarti, Widiarti; Nuryaman, Aang; Setiawan, Eri
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.v6i3.19040

Abstract

A time series is a series of observations of a variable that is collected, recorded, or observed over a period of time in sequence. Singular Spectrum Analysis is a powerful method to analyze time series data by decomposing the original time series data into several small components that can be identified, such as trend, periodic, and noise components. One of the datasets that can be used is data on the number of train passengers in Sumatera in 2013–2022. In this study, the Singular Spectrum Analysis method is used to forecast the number of train passengers in Sumatera in 2013–2022. The best Singular Spectrum Analysis model in this study was obtained at a window length of 22 and a number of groups of 8, with a MAPE value of 19.55%.
Clustering Flood Prone Areas in Deli Serdang Regency Using Density-Based Spatial Clustering Of Application With Noise (DBSCAN) Method Nurmadani, Nurmadani; Rakhmawati, Fibri
Desimal: Jurnal Matematika Vol. 6 No. 2 (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.v6i2.19043

Abstract

Deli Serdang Regency is the most frequently flooded area in North Sumatra Province, causing many casualties and other losses to residents in flooded areas. Deli Serdang Regency has 22 sub-districts, each of which has a different level of flood vulnerability. Efforts are needed to categorize the level of flood vulnerability that needs to be watched out for in Deli Serdang Regency. The clustering used in this research is Density-Based Spatial Clustering Applications with Noise (DBSCAN). The purpose of this study is to determine the level of proneness to flooding in each region in 2022 in Deli Serdang Regency. The clustering results in this study concluded that using the DBSCAN algorithm, we obtained 2 clusters and 4 noise with a silhouette coefficient value of 0.395050089 with Epsilon 1.19 and MinPts 3. From the silhouette coefficient results, it can be concluded that the cluster structure obtained is weak because, with more variables, the calculation of distance based on density becomes invalid.
Estimating flood hazard rate in parepare using likelihood approach single decrement method S, Ahmad Fajri; H, Nurul Fuady Adhalia; Maharani, Putri Ayu; Tahir, Syahrul Ramadhan
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.v6i3.19145

Abstract

Floods are one example of a random stochastic process. One important parameter to determine the chance of a flood to occur is the hazard rate. Therefore, a hazard rate estimation model is needed. One of the methods used to estimate the hazard rate at point t0 was the single decrement method with a likelihood approach that required exit time information, namely the time when a flood occurs and the assumed distribution of waiting times for the next flood to occur. The distribution of waiting times was assumed to be linear and exponential distribution. Hazard rate estimation used flood data that occurred in Parepare. The hazard rate estimator obtained using these two waiting time assumptions was transformed into a parametric model. The parametric model used was a regression model with linear, quadratic, and cubic assumptions. The best parametric model was a quadratic regression model for the assumed exponential distribution of waiting times based on R Square, Mean Square Error, and real regression test. The estimated hazard rate value obtained can be applied to estimate the probability of a flood event occurring in the interval (0,t0]. The selected parametric model is expected to be able to estimate the hazard rate value accurately.
The effects of hydrometeorological disaster and potential conflicts on the human development index using linear mixed multilevel models Zevic, Farell Fillyanno; Rachmawati, Ro'fah Nur; Djunet, Ghina Nisrina; Almutawakkil, Fauzan Naufal
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.v6i3.19514

Abstract

As is generally known, the human development index (HDI) is formed from three main factors, namely education, health, and income, which measure the population's access to a decent standard of living. Using the linear mixed multilevel models, this study indicates that other factors beyond these three basic dimensions of HDI, namely hydrometeorological disasters and potential conflicts, significantly affect the HDI value. This research focuses on longitudinal data analysis from 27 regencies and cities in West Java, Indonesia, in the last four years until 2022, with the level of hydrometeorological disasters consistently increasing every year and an increasing trend in the number of potential conflicts. The dimensions of human life and other factors can affect the human development index, namely the number of hydrometeorological disasters and potential conflicts, which have a negative correlation so that the value of the HDI can be reduced if the intensity of hydrometeorological disasters increases and possible conflicts can be controlled. Moreover, this study shows that uncontrolled potential conflicts in each regency or city from time to time can reduce HDI values. Therefore, this research can be a reference for the government, stakeholders, and the community in carrying out work programs that are right on target to increase HDI consistently every year.
Application of graph theory and webster method in traffic light settings at the tulip intersection in kefamenanu city Sikas, Oktovianus R.; Mada, Grandianus Seda; Blegur, Fried Markus Allung; Nabu, Andreas Giovani
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.v6i3.19526

Abstract

The traffic light settings at several road intersections in Timor Tengah Utara Regency have not been regulated, taking into account the width of the road and the volume of vehicles. One of the intersections in question is the Eltari–Sonbay–L. Lake intersection road (Tulip intersection). At this intersection, traffic jams often occur because traffic light settings are not optimal, so it is necessary to have traffic regulations that pay attention to road width and vehicle volume. This research aims to find out how to regulate the duration of traffic lights using graph theory and the Webster method. This research is applied research. The data used is primary data, which includes road geometry and traffic volume data. The results of calculations using a compatible graph and the Webster method obtained two-time phases. Phase 1 for the Eltari road section (north and south) has a green light duration of 22 seconds, yellow 3 seconds, and red 27 seconds. Meanwhile, Phase 2 for Sonbay Road and L. Lake Road has a green, yellow, and red-light duration of 23 seconds, 3 seconds, and 26 seconds, respectively. These results look more optimal compared to the current ones, which only consist of one-time phase.

Page 21 of 33 | Total Record : 330

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