Wimbo Fari Suilo, Lukita Ambarwati, Eti Dwi Wiraningsih
{"title":"Analisis Kestabilan pada Model Matematika Deradikalisasi","authors":"Wimbo Fari Suilo, Lukita Ambarwati, Eti Dwi Wiraningsih","doi":"10.21009/jmt.4.1.3","DOIUrl":"https://doi.org/10.21009/jmt.4.1.3","url":null,"abstract":"Radicalization is a process by which individuals adopt political, social, and religious ideologies that lead to violence. Violent behavior in the radicalization process is the reason that radicalism is considered the cause of acts of terrorism. Therefore, to reduce this radicalization process, a deradicalization program is carried out. Deradicalization is an attempt to persuade adherents of radicalism to leave this notion. In order to determine the level of spread of radicalization, a mathematical model of deradicalization was made. The model consists of four compartments, namely, Susceptible, Extrimist, Recruiters, and Treatment. The model is analyzed by determining the equilibrium point and determining the base reproduction number ( ℜ0). If ℜ0<1 then the system will be locally asymptotically stable, and if ℜ0>1 then the system will be unstable. The simulation is carried out with the data that has been obtained, with the individual displacement parameters from the Extrimist compartment to the Treatment compartment with a value of 0.05 and the individual displacement from the Recruiters compartment to the Treatment compartment with a value of 0.165, simulation results show a graph that is stable to the point of endemic equilibrium. Meanwhile, if the value of individual displacement from the Extrimist and Recruiters compartments to the Treatment compartment is 0.5, the simulation results show that the graph gradually goes to zero.","PeriodicalId":299241,"journal":{"name":"JMT : Jurnal Matematika dan Terapan","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124811964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adam Victorio Alexis, Fariani Hermin Indiyah, Eti Dwi Wiraningsih
{"title":"Analisis Penyebaran Penyakit Covid-19 dengan Pengaruh Pengobatan Isolasi Mandiri dan Pengobatan Perawatan Rumah Sakit (Studi Kasus Penyebaran di DKI Jakarta)","authors":"Adam Victorio Alexis, Fariani Hermin Indiyah, Eti Dwi Wiraningsih","doi":"10.21009/jmt.4.1.4","DOIUrl":"https://doi.org/10.21009/jmt.4.1.4","url":null,"abstract":"In this research, a model for the spread of Covid-19 will be built using a differential equation because in the population there are two subpopulations who can spread the disease, there is one subpopulation who go through incubation period, and there are also 2 subpopulations who go through the treatment so the model will consists of compartments such as susceptible, exposed, asymptomatically infectious, symptomatically infectious, treatment 1 (self-isolation), treatment 2 (hospital care), and recovered. Analysis begins by calculating the disease-free equilibrium and endemic equilibrium. Before stability analysis, the model must be checked for adequacy in describing the disease spread. Stability analysis begins by forming the next generation matrix of the model with helps of jacobian matrix and chracteristic equation, then we can get basic reproduction number. By entering the value of parameters according to data to the basic reproduction number, we get reproduction number is 0,851115. The size of reproduction number means that the disease will disappear from the population.","PeriodicalId":299241,"journal":{"name":"JMT : Jurnal Matematika dan Terapan","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115253908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Penentuan Derajat Optimum Interpolasi pada Metode Lagrange dan Metode Newton Gregory dalam Mengestimasi Kasus Pasien Sembuh dari Covid-19 di Indonesia","authors":"Muhammad Julian, Lukita Ambarwati, Yudi Mahatma","doi":"10.21009/jmt.4.1.2","DOIUrl":"https://doi.org/10.21009/jmt.4.1.2","url":null,"abstract":"Estimation is one method for approximation. The estimation method is the polynomial interpolation. Once of polynomial interpolation are Lagrange method and Newton Gregory method. In several references, the degrees of interpolation which is used on the Lagrange method or Newton Gregory method depends on the numbers of data. This paper was created to knowing the optimum degrees to interpolate 61 numbers of data. In this paper, points are determined to interpolate so that formed intervals of equal length. As for the degrees to be tested, namely degrees 2,4,5,10, and 20. Based on MAPE and MSE values for degree 2 are lower than degrees 4,5,10 and 20 in both methods so that the interpolation of the Lagrange and Newton Gregory degrees 2 is better than degrees 4,5,10, and 20.","PeriodicalId":299241,"journal":{"name":"JMT : Jurnal Matematika dan Terapan","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116663638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rizki Ramadayani, Fariani Hermin Indiyah, Ibnu Hadi
{"title":"Pemodelan Geographically Weighted Regression Menggunakan Pembobot Kernel Fixed dan Adaptive pada Kasus Tingkat Pengangguran Terbuka di Indonesia","authors":"Rizki Ramadayani, Fariani Hermin Indiyah, Ibnu Hadi","doi":"10.21009/jmt.4.1.5","DOIUrl":"https://doi.org/10.21009/jmt.4.1.5","url":null,"abstract":"Unemployment Rate (UR) is an indicator for measuring the unemployment. Increase in the number of TPT in Indonesia by 1.84%, this is due to the impact of the covid-19 pandemic. analysis to find out the factors that affect TPT in Indonesia is by using multiple linear regression. The results showed that the data contained heterokedasticity and spatial aspects. Spatial data analysis continued with the point approach is by the Geographically Weighted Regression method (GWR). GWR is a weighted regression that results in a model that is local. GWR modeling uses weighting kernels Fixed Gaussian, Adaptive Gaussian , Fixed Bi-Square, and Adaptive Bi-Square produces that GWR Adaptive Bi-Square better, review value of the R2,AIC and JKG. The ability of the GWR model explains the effect of UR on factors (Labor Force or economically active, Health Complaint and Poverty Percentage) by 89.1%.","PeriodicalId":299241,"journal":{"name":"JMT : Jurnal Matematika dan Terapan","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122756982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulasi Penjalaran Gelombang Tsunami Menggunakan Metode Optimal Time Stepping","authors":"Khoirun Nisa, Lukita Ambarwati, Tri Murdiyanto","doi":"10.21009/JMT.3.1.2","DOIUrl":"https://doi.org/10.21009/JMT.3.1.2","url":null,"abstract":"Berada di kawasan Ring of Fire atau Cincin Api Pasifik menjadikan Indonesia wilayah yang rawan letusan gunung berapi, gempa dan tsunami. Tsunami adalah ombak yang terjadi setelah suatu gempa, gunung meletus atau hantaman meteor di laut. Banyak sekali kerugian yang didapat manusia ketika terjadinya tsunami sehingga banyak peneliti yang memodelkan penjalaran gelombang tsunami. Penjalaran gelombang tsunami dapat dikaji dengan berbagai teori, salah satunya menggunakan teori perairan air dangkal. Akan tetapi, model tersebut tidak bisa diselesaikan secara analitik. Untuk itu diperlukan pendekatan secara numerik sehingga didapat penyelesaian yang mendekati solusi sejatinya. Metode Optimal Time Stepping merupakan salah satu metode untuk mendapatkan solusi numerik dari persamaan diferensial parsial. Metode ini juga membutuhkan waktu yang lebih sedikit dan lebih akurat jika dibandingkan dengan metode lain. Penelitian ini akan mensimulasikan penjalaran gelombang tsunami dengan menggunakan metode Optimal Time Stepping.","PeriodicalId":299241,"journal":{"name":"JMT : Jurnal Matematika dan Terapan","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124038952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}