Pub Date : 2022-04-15DOI: 10.35472/indojam.v2i1.765
Muhammad Ammar Alkautsar, Sekar Anisa Sely, Della Najunda K.S, Rofi Ilmi Fadhillah, Alfredo Edward Lazuardi, Triyana Muliawati
In early 2020 the COVID-19 outbreak had entered the territory of Indonesia so a lockdown system began to be implemented in several areas to overcome the spread of the Covid-19 outbreak, including on the tourist arrivals route through land gates, air gates, and sea gates. This makes the writer interested in seeing the number of foreign tourists entering Indonesia through land, sea, and air gates in the hope of helping the government in increasing the number of foreign tourists visiting Indonesia by optimizing the facilities and infrastructure on the tourist arrivals route. In this study, the authors looked at the effect on the entrance data of foreign tourists and the trends or changes that existed in the data held. The research was conducted by applying the Kruskal-Wallis test to see the relationship between the entry pathways and the Cox-Stuart test to see changes in the data. These two tests are used because they are following the objectives and existing research data. After the tests were carried out, the results showed that there was a difference between the entry routes, and it was seen that the data had decreased, one of the contributing factors was the PSBB (Large-Scale Social Restrictions) due to the Covid-19 pandemic.
{"title":"Analisis Kunjungan Wisatawan Mancanegara melalui Pintu Udara, Laut dan Darat","authors":"Muhammad Ammar Alkautsar, Sekar Anisa Sely, Della Najunda K.S, Rofi Ilmi Fadhillah, Alfredo Edward Lazuardi, Triyana Muliawati","doi":"10.35472/indojam.v2i1.765","DOIUrl":"https://doi.org/10.35472/indojam.v2i1.765","url":null,"abstract":"In early 2020 the COVID-19 outbreak had entered the territory of Indonesia so a lockdown system began to be implemented in several areas to overcome the spread of the Covid-19 outbreak, including on the tourist arrivals route through land gates, air gates, and sea gates. This makes the writer interested in seeing the number of foreign tourists entering Indonesia through land, sea, and air gates in the hope of helping the government in increasing the number of foreign tourists visiting Indonesia by optimizing the facilities and infrastructure on the tourist arrivals route. In this study, the authors looked at the effect on the entrance data of foreign tourists and the trends or changes that existed in the data held. The research was conducted by applying the Kruskal-Wallis test to see the relationship between the entry pathways and the Cox-Stuart test to see changes in the data. These two tests are used because they are following the objectives and existing research data. After the tests were carried out, the results showed that there was a difference between the entry routes, and it was seen that the data had decreased, one of the contributing factors was the PSBB (Large-Scale Social Restrictions) due to the Covid-19 pandemic.","PeriodicalId":293313,"journal":{"name":"Indonesian Journal of Applied Mathematics","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123528708","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}
Pub Date : 2022-04-15DOI: 10.35472/indojam.v2i1.730
G. Putra, Hanifah Septaningtiyas, Elsa Nabila, Lisa Arianti Br Tarigan
In this paper, the Nonlocal Discrete Nonlinear Schrodinger (DNLS) equation that interpolates the Nonlocal Ablowitz-Ladik DNLS and the Nonlocal Cubic DNLS equations and its stability are studied in detail. The solution of the Nonlocal SNLD equation is a soliton wave in the form of a Gaussian ansatz obtained using the method of Variational Approximation (VA). The stability of the solution is also analyzed using the VA. These semi-analytical results are then compared to numerical results. The soliton and its stability obtained via VA is concluded to be having a fairly good conformity with numerical results.
{"title":"Analisis Kestabilan Solusi Soliton pada Persamaan Schrodinger Nonlinier Diskrit Nonlokal","authors":"G. Putra, Hanifah Septaningtiyas, Elsa Nabila, Lisa Arianti Br Tarigan","doi":"10.35472/indojam.v2i1.730","DOIUrl":"https://doi.org/10.35472/indojam.v2i1.730","url":null,"abstract":"In this paper, the Nonlocal Discrete Nonlinear Schrodinger (DNLS) equation that interpolates the Nonlocal Ablowitz-Ladik DNLS and the Nonlocal Cubic DNLS equations and its stability are studied in detail. The solution of the Nonlocal SNLD equation is a soliton wave in the form of a Gaussian ansatz obtained using the method of Variational Approximation (VA). The stability of the solution is also analyzed using the VA. These semi-analytical results are then compared to numerical results. The soliton and its stability obtained via VA is concluded to be having a fairly good conformity with numerical results.","PeriodicalId":293313,"journal":{"name":"Indonesian Journal of Applied Mathematics","volume":"383 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116478518","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}
Pub Date : 2022-04-15DOI: 10.35472/indojam.v2i1.489
Yenci Brika Enkekes, Lutfi Mardianto
The problem studied in this study was the movement of deviations in the equation of 1D waves on the rope given the initial deviation value. In this study, the equation of 1D waves with dirichlet boundary problems will be solved analytically using variable and numerical separation using the runge-kutta method approach of order 4. This research begins with examining equation models, solving analytical solutions, applying schemes to the final results of simulations. The decrease in equation model fissile is done by reviewing the working force on a piece of rope, solving an analytical solution with a variable separation method, and numerical completion resulting in the best simulation result with parameter c= 0.5 with time steps ∆x= 0.01 and time interval of 0 ≤ t≤ 1 resulting in a numerical approach close to its analytical solution up to t= 1 s and the influence of parameter c on the movement of wave deviations resulted in that the influence of parameter c affects the magnitude of the deviation of the wave, so the greater the value of parameter c, the smaller deviation of the wave and the faster the speed of the direction. Thus, it can be concluded that the runge-kutta method of order 4 in this study can be said to be one of the numerical approaches of the problem of 1D wave equations with dirichlet boundaries.
{"title":"Metode Runge-Kutta Orde 4 Dalam Penyelesaian Persamaan Gelombang 1D Syarat Batas Dirichlet","authors":"Yenci Brika Enkekes, Lutfi Mardianto","doi":"10.35472/indojam.v2i1.489","DOIUrl":"https://doi.org/10.35472/indojam.v2i1.489","url":null,"abstract":"The problem studied in this study was the movement of deviations in the equation of 1D waves on the rope given the initial deviation value. In this study, the equation of 1D waves with dirichlet boundary problems will be solved analytically using variable and numerical separation using the runge-kutta method approach of order 4. This research begins with examining equation models, solving analytical solutions, applying schemes to the final results of simulations. The decrease in equation model fissile is done by reviewing the working force on a piece of rope, solving an analytical solution with a variable separation method, and numerical completion resulting in the best simulation result with parameter c= 0.5 with time steps ∆x= 0.01 and time interval of 0 ≤ t≤ 1 resulting in a numerical approach close to its analytical solution up to t= 1 s and the influence of parameter c on the movement of wave deviations resulted in that the influence of parameter c affects the magnitude of the deviation of the wave, so the greater the value of parameter c, the smaller deviation of the wave and the faster the speed of the direction. Thus, it can be concluded that the runge-kutta method of order 4 in this study can be said to be one of the numerical approaches of the problem of 1D wave equations with dirichlet boundaries.","PeriodicalId":293313,"journal":{"name":"Indonesian Journal of Applied Mathematics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131097002","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}
Pub Date : 2022-04-15DOI: 10.35472/indojam.v2i1.763
Akhdan Aziz Ghozi, Ayu Aprianti, Ahmad Dzaki Putra Dimas, R. Fauzi
This study aims to examine the architectural performance of the Recurrent Neural Network (RNN) model in predicting Covid-19 cases in Lampung Province. The RNN method is part of Deep Learning which will be used to model data on Covid-19 cases in Lampung Province from March 26, 2020 to March 28, 2021. The RNN model was chosen because the Covid-19 data is in the form of a time series and the advantages of RNN are that it can capture information on the data time series using multiple network layers which allow better modeling and resulting in high prediction accuracy. The data is divided into 3, namely active cases, recovered cases, and dead cases. After preparing the data, the 368 data were divided into 294 initial latih data and 74 test data. After latih on the data for each data, then a test is carried out on the data for each data as a reference for predicting the latest data. The most optimal results show the cumulative active case model with RMSE=0.0022; for cumulative recovery cases obtained RMSE = 0.0007; while the cumulative death cases obtained RMSE = 0.0012. Based on the modeling error, then make predictions on the three cases which results in RMSE = 0.001 for cumulative active cases; RMSE=0.0027 for cumulative recovery cases; and RMSE=0.001 for cumulative death cases.
{"title":"Analisis Prediksi Data Kasus Covid-19 di Provinsi Lampung Menggunakan Recurrent Neural Network (RNN)","authors":"Akhdan Aziz Ghozi, Ayu Aprianti, Ahmad Dzaki Putra Dimas, R. Fauzi","doi":"10.35472/indojam.v2i1.763","DOIUrl":"https://doi.org/10.35472/indojam.v2i1.763","url":null,"abstract":"This study aims to examine the architectural performance of the Recurrent Neural Network (RNN) model in predicting Covid-19 cases in Lampung Province. The RNN method is part of Deep Learning which will be used to model data on Covid-19 cases in Lampung Province from March 26, 2020 to March 28, 2021. The RNN model was chosen because the Covid-19 data is in the form of a time series and the advantages of RNN are that it can capture information on the data time series using multiple network layers which allow better modeling and resulting in high prediction accuracy. The data is divided into 3, namely active cases, recovered cases, and dead cases. After preparing the data, the 368 data were divided into 294 initial latih data and 74 test data. After latih on the data for each data, then a test is carried out on the data for each data as a reference for predicting the latest data. The most optimal results show the cumulative active case model with RMSE=0.0022; for cumulative recovery cases obtained RMSE = 0.0007; while the cumulative death cases obtained RMSE = 0.0012. Based on the modeling error, then make predictions on the three cases which results in RMSE = 0.001 for cumulative active cases; RMSE=0.0027 for cumulative recovery cases; and RMSE=0.001 for cumulative death cases.","PeriodicalId":293313,"journal":{"name":"Indonesian Journal of Applied Mathematics","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114519671","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}
Pub Date : 2022-04-13DOI: 10.35472/indojam.v2i1.534
D. Rianti, Utriweni Mukhaiyar, Lutfi Mardianto
The analysis of the queuing system at the Help Desk service of the UPT TIK Institut Teknologi Sumatera includes the number of ticket arrivals, the average length of service time, and the number of service facilities (admin). The data for the number of Help Desk tickets are Poisson distributed and the service time is the Exponential distribution. The size of the steady-state in the service has a value of so that an analysis of the performance size of the queue system can be carried out. The data used in the study are Help Desk ticket data for the period November 2020-February 2021. The results obtained indicate that the queue model for the Help Desk service can be added to the server (admin). The addition of a server in the service can reduce the workload significantly. The queue model that can be applied is M/M/3:FCFS/∞/∞ by adding one server (admin), from the previous model, namely M/M/2:FCFS/∞/∞.
对UPT TIK Institut Teknologi sumatra的帮助台服务排队系统的分析包括抵港人数、平均服务时间和服务设施(行政)的数量。Help Desk ticket的数量数据为泊松分布，服务时间为指数分布。服务中稳态的大小有一个值，这样就可以对队列系统的性能大小进行分析。研究中使用的数据是2020年11月至2021年2月期间的Help Desk票务数据。得到的结果表明，Help Desk服务的队列模型可以添加到服务器(admin)中。在服务中添加服务器可以显著减少工作负载。可以应用的队列模型是M/M/3:FCFS/∞/∞，在之前的模型上增加一个服务器(admin)，即M/M/2:FCFS/∞/∞。
{"title":"Analisis Sistem Antrian pada Pelayanan Help Desk UPT TIK Institut Teknologi Sumatera Menggunakan Teori Antrian","authors":"D. Rianti, Utriweni Mukhaiyar, Lutfi Mardianto","doi":"10.35472/indojam.v2i1.534","DOIUrl":"https://doi.org/10.35472/indojam.v2i1.534","url":null,"abstract":"The analysis of the queuing system at the Help Desk service of the UPT TIK Institut Teknologi Sumatera includes the number of ticket arrivals, the average length of service time, and the number of service facilities (admin). The data for the number of Help Desk tickets are Poisson distributed and the service time is the Exponential distribution. The size of the steady-state in the service has a value of so that an analysis of the performance size of the queue system can be carried out. The data used in the study are Help Desk ticket data for the period November 2020-February 2021. The results obtained indicate that the queue model for the Help Desk service can be added to the server (admin). The addition of a server in the service can reduce the workload significantly. The queue model that can be applied is M/M/3:FCFS/∞/∞ by adding one server (admin), from the previous model, namely M/M/2:FCFS/∞/∞.","PeriodicalId":293313,"journal":{"name":"Indonesian Journal of Applied Mathematics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114524445","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}
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