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Kiswara Agung Santoso
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Majalah Ilmiah Matematika dan Statistika Jurusan Matematika FMIPA Universitas Jember Jalan Kalimantan 37 Jember 68121 Telp. 0331-337643 Fax. 0331-330225 Email. MIMS.fmipa@unej.ac.id
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Majalah Ilmiah Matematika dan Statistika (MIMS)
Published by Universitas Jember
ISSN : 14116669     EISSN : 27229866     DOI : https://doi.org/10.19184
Core Subject : Education,
Mathematics
The aim of this publication is to disseminate the conceptual thoughts or ideas and research results that have been achieved in the area of mathematics and statistics. MIMS, focuses on the development areas sciences of mathematics and statistics as follows: 1. Algebra and Geometry; 2. Analysis and Modelling; 3. Graph Theory and Combinatorics; 4. Computer Science and Big Data; 5. Application of Mathematics and Statistics.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 8 Documents
 1 
Search results for , issue "Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika" : 8 Documents clear
Pengelompokkan kabupaten/kota di Pulau Sulawesi berdasarkan indikator indeks khusus penanganan stunting menggunakan Gaussian mixture model
Majalah Ilmiah Matematika dan Statistika Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i2.36389

Abstract

Stunting or is a condition of growth failure in children under five years old (toddlers) who are malnourished. Children are called stunted if their height is below minus two standard deviations. The Special Index for Handling Stunting (IKPS) is one of the main indicators used as a measure of the achievement of handling the reduction in stunting rates. In implementing the 2024 development goals, namely setting a national stunting target that can decrease to 14%, it is necessary to identify based on the characteristics of a special index for handling stunting in each region. Method of Gaussian Mixture Model is a grouping with models that function to group a certain amount of data into a Gaussian distribution with mean and variance parameters. The main idea of model-based grouping is that object grouping is done using probabilities. This study was conducted with the aim of obtaining the results of grouping regencies/cities on Sulawesi Island based on the Special Index Indicator for Handling Stunting. The results of the study obtained different volume and shape models, coordinate axis orientation (VVI) with 4 optimum cluster. Cluster 1 with a low stunting handling index contains 24 districts/cities, cluster 2 with a medium stunting handling index contains 21 districts/cities, cluster 3 with a high stunting handling index contains 13 districts/cities, cluster 4 with a very high stunting handling index contains 23 districts/cities.Keywords: Four optimum cluster, low, medium, high and very highMSC2020: 62A09
Penerapan simple multi attribute rating technique exploiting ranks method dalam pemilihan jenis tanaman pangan di Desa Bandar Kwala
Majalah Ilmiah Matematika dan Statistika Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i2.38136

Abstract

In the field of agriculture in Indonesia, there are forms or types of plants, one of which is food crops. Currently, the food crops that develop in Bandar Kwala village are rice, corn, peanuts, and cassava. So that there is competition for nutrient absorption between plants and many types of plant-disturbing organisms that appear and cause farmers to experience crop failure, the selling price in the market is not proportional to the price of the seeds they buy and the care they do. For each type of plant that is planted, it is necessary to pay attention to the factors that affect the growth of a plant, one of which is land management, seeding, fertilization and pest control. The purpose of this research is to apply the SMARTER method to get the ranking of plants suitable for planting on agricultural land in Bandar Kwala village based on food crop criteria. In the SMARTER method, the ranking results are obtained by looking at the final value obtained by each alternative, where the alternative rice plant gets a final value of 0.9581 as the first rank, the cassava plants alternative gets a final value of 0.2628 as the second rank, the alternative to peanut plant gets the final score was 0.2354 as the third rank, and the alternative maize crop obtained a final score of 0.0899 as the fourth rank.Keywords: Plant, decision, rank, SMARTER MSC2020: 90B50
Modifikasi algoritma Hill cipher dengan matriks kunci berupa matriks ketetanggaan
Majalah Ilmiah Matematika dan Statistika Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i2.36346

Abstract

Cryptography is one of the parts in mathematics, especially applied mathematics. Cryptography is the science that studies how to secure information that we don't want others to know about the information we have. Based on the development of the times, cryptography is divided into two consisting of classical cryptography and modern cryptography. In this paper, the focus of discussion is on classical cryptography. Furthermore, there are many kinds of classical cryptographic algorithms, such as the Caesar cipher algorithm, the Playfair cipher algorithm, the Vigenere cipher algorithm, and the Hill Cipher algorithm. The focus of discussion in this paper is on the Hill cipher algorithm. The modifications made to the Hill cipher algorithm lie in its key matrix. In this paper, it will be shown how to encrypt and decrypt the message we want to send using the Hill cipher algorithm with the matrix being a adjacency matrix. In which case, the adjacency matrix itself is obtained from the representation of the graph. It is hoped that this algorithm can avoid crypt attacks, especially on ciphertext only-attack.Keywords: Hill cipher algorithm, cryptography, adjacency matrix, plaintext, ciphertextMSC2020: 94A60
Penyesuaian distribusi proses keberangkatan sepeda motor dari lahan parkir saat waktu puncak
Majalah Ilmiah Matematika dan Statistika Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i2.38203

Abstract

The study aims to model the distribution of motorcycle departures from the parking lot at peak times with the Poisson process approach. This process involves a discrete number of departures and continuous interdeparture time. The probability distribution candidate was selected to model the data according to the data nature, the stochastic process, and the empirical observation of the departure process. Parameters are estimated using the Maximum Likelihood Estimation (MLE) method and the bootstrapping procedure to construct confidence intervals for the parameter. The goodness-of-fit test is applied to select the best probability distribution that matches empirical data. Inferences to the distribution parameters suggest that Weibull's distribution is more appropriate for describing the motorcycle's inter-departure time. The number of motorcycle departures fits significantly into a negative binomial distribution. The results of the study concluded that the Poisson process applied was a case of overdispersion, with the motorcycle departure rate decreasing over time.Keywords: Bootstrapping, departure, distribution, goodness-of-fit, PoissonMSC2020: 60E05
Analisis risiko pada Saham PT. Unilever Indonesia dengan metode expected shortfall berdasarkan model GBM with jump diffusion
Majalah Ilmiah Matematika dan Statistika Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i2.38459

Abstract

Stock investment activities had a high level of profit and a high level of risk as well. The risk could be known from fluctuations in stock price data on stock returns. Fluctuations in stock price data on stock returns in each period could not be controlled, so predicting stock prices through returns was relatively difficult to do. The Geometric Brownian Motion (GBM) with Jump Diffusion model was proposed because it was able to capture fluctuations in stock return value data. The GBM with Jump Diffusion model was used when the data has extreme data or jumps that did not meet the assumption of normality, for example stock price data. This research was conducted to calculate the estimated risk of predicting the value of stock returns at PT Unilever Indonesia (UNVR) data for the period January 4, 2021, to January 27, 2023. Based on the results of the analysis, the estimated investment risk in UNVR stocks using the Expected Shortfall method showed that at a confidence level of 95% was generated a risk value of 0.05229, at 90% confidence level resulted in a risk value of 0.04436, at 85% confidence level resulted in a risk value of 0.03747 and 80% confidence level resulted in a risk value of 0.03645. So it could be said that the higher the level of trust, the higher the level of risk.Keywords: GBM, jump diffusion, PT Unilever Indonesia, expected shortfallMSC2020: 62P05, 91G70
Mathematic modeling of farmer household income in Singosari Village, Tanggamus District
Majalah Ilmiah Matematika dan Statistika Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i2.40909

Abstract

Farmers engage in various sectors (agriculture and non-agriculture) to earn income in order to meet their diverse household needs. Based on various pieces of literature, the agricultural sector serves as a gauge for the income level of rural farming households and provides a greater contribution than the non-agricultural sector. The purpose of this research is to analyze the mathematical modeling of household income among farmer households and to assess the contribution of the agricultural sector to households in Singosari Village, Tanggamus Regency. This study employs a quantitative method with a case study approach. The population in this study consisted of 464 heads of households, from which a sample of 30 households was selected. The respondents in this study were farmer households, and data were collected through surveys using questionnaires, documentation, and literature studies related to the mathematical modeling of income and the contribution of the agricultural sector to people's livelihoods. Data processing was conducted using SPSS software version 26, assisted by Microsoft Excel, and data analysis was performed using a simple linear regression model. The findings of this study indicate that, in Singosari Village, the agricultural income variable significantly influences the household income variable, as determined from the significance value of the simple linear regression results.Keywords: Agricultural income, household income, mathematical modeling, simple linear regression, singosari farmersMSC2020: 62P25
Analisis efektivitas vaksin booster pada kasus terkonfirmasi positif Covid-19 menggunakan uji Mann-Whitney
Majalah Ilmiah Matematika dan Statistika Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i2.38190

Abstract

Covid cases in Indonesia have started to decline since the vaccination program was carried out in January 2021. Until now the vaccination program in Indonesia has reached the third vaccination stage or booster vaccine. The booster vaccine aims to strengthen the vaccine dose that has been given previously, with the hope of reducing the number of confirmed patients with the Covid-19 virus. To determine the effectiveness of the booster vaccine in reducing the number of Covid-19 in Indonesia, it is necessary to conduct research using the Mann-Whitney non-parametric trial method. This journal will discuss the analysis of the effectiveness of the third dose (booster) vaccine using the Mann-Whitney test. The data collection used is data on the number of patients confirmed positive for Covid before the booster vaccine, namely from July to December 2021 and the number of patients confirmed positive after the booster vaccine from February to July 2022. Whitney manually is 15 while the p-value value in the calculation of Mann Whitney with SPSS is 0.631. The results of calculations provide a conclusion that the third dose vaccination (booster) is not effective in the reducing the number of patients of covid-19 confirmed for the Covid-19.Keywords: Covid-19, Vaccines, Mann Whitney testMSC2020: 62G05, 62G10
Peramalan nilai tukar rupiah terhadap dollar Amerika menggunakan model ARIMA
Majalah Ilmiah Matematika dan Statistika Vol 23 No 2 (2023): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v23i2.38660

Abstract

The exchange rate of the Rupiah against the currencies of other countries is one of the factors in identifying the condition of an economic condition. The value exchange rate can be strengthened or weakened at any time, according to the country's situation. Fluctuations of the Rupiah exchange rate could affect domestic inflation. Therefore, it is necessary to plan a good policy, considering the Rupiah's movement in the future. One of the currencies that affect the world's economic conditions is the United States Dollar. This study forecasts the Rupiah's exchange rate against the United States Dollar (USD). Data is obtained from Bank Indonesia, with the period of the data used from January 2018 to August 2022. One method of forecasting time series data is the Autoregressive Moving Average (ARIMA) method. The best model is selected based on the smallest AIC and BIC values. Based on the analysis of model selection, the ARIMA(1, 0, 1) model is the best model for forecasting the exchange rate of the Rupiah against the US Dollar. The results of the prediction of the Rupiah exchange rate show that the exchange rate of the Rupiah against the US Dollar has increased and decreased, which was not significant. Keywords: ARIMA, exchange rate, forecasting, time seriesMSC2020: 62M10

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