Pub Date : 2024-01-17DOI: 10.20884/1.jmp.2023.15.2.8834
Noor Sofiyati, A. Hayati, Nur’aini Muhassanah
Investing in the stock market is one of the investment options that are in great demand by investors. Investors generally invest because want to gain profits which can be seen from the stock returns. On the other hand, there is a risk of loss if the investor makes the wrong decision. Investors need accurate information, predictions and a sense of security in stock transactions. Investors or shareholders need to know the development of stock prices in the future with forecasts to anticipate large losses. This study aims to predict the share price of PT. Astra International Tbk (ASII.JK) one year ahead using the winters exponential smoothing method. Forecasting results show that ASII's share price for the next year will increase every month. This can provide information on future stock movements for investors as a consideration for investing in these stocks.
投资股票市场是投资者非常需要的投资方式之一。投资者进行投资一般都是为了获得利润，这可以从股票收益中看出。另一方面，如果投资者做出错误的决定，就有可能遭受损失。投资者在股票交易中需要准确的信息、预测和安全感。投资者或股东需要通过预测了解股票价格在未来的发展，以防遭受巨大损失。本研究旨在预测 PT.Astra International Tbk (ASII.JK)的股价进行预测。预测结果显示，ASII 下一年的股价将逐月上升。这可以为投资者提供未来股票走势的信息，作为投资这些股票的考虑因素。
{"title":"WINTERS EXPONENTIAL SMOOTHING UNTUK FORECASTING HARGA SAHAM PT ASTRA INTERNATIONAL TBK","authors":"Noor Sofiyati, A. Hayati, Nur’aini Muhassanah","doi":"10.20884/1.jmp.2023.15.2.8834","DOIUrl":"https://doi.org/10.20884/1.jmp.2023.15.2.8834","url":null,"abstract":"Investing in the stock market is one of the investment options that are in great demand by investors. Investors generally invest because want to gain profits which can be seen from the stock returns. On the other hand, there is a risk of loss if the investor makes the wrong decision. Investors need accurate information, predictions and a sense of security in stock transactions. Investors or shareholders need to know the development of stock prices in the future with forecasts to anticipate large losses. This study aims to predict the share price of PT. Astra International Tbk (ASII.JK) one year ahead using the winters exponential smoothing method. Forecasting results show that ASII's share price for the next year will increase every month. This can provide information on future stock movements for investors as a consideration for investing in these stocks.","PeriodicalId":516586,"journal":{"name":"Jurnal Ilmiah Matematika dan Pendidikan Matematika","volume":"185 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140504917","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 : 2024-01-15DOI: 10.20884/1.jmp.2023.15.2.8875
Indra Herdiana, I. Sihwaningrum, Agus Sugandha
This paper studies the Newton-Raphson method to approximate a root of a real-valued function in one-dimensional real discrete metric space. The method involves a derivative and is considered to be convergent very fast. However, the derivative is derived from the limit definition with respect to the Euclidean distance, different from that of the discrete metric space. This research investigates the Newton-Raphson method with respect to derivatives defined in discrete metric spaces by deriving the derivative first. The results show that the constructed Newton-Raphson method can be an alternative root-finding method exemplified by some examples. Keywords: Newton-Raphson method, discrete metric space, metric space derivative
{"title":"THE NEWTON-RAPHSON METHOD OF REAL-VALUED FUNCTIONS IN DISCRETE METRIC SPACE","authors":"Indra Herdiana, I. Sihwaningrum, Agus Sugandha","doi":"10.20884/1.jmp.2023.15.2.8875","DOIUrl":"https://doi.org/10.20884/1.jmp.2023.15.2.8875","url":null,"abstract":"This paper studies the Newton-Raphson method to approximate a root of a real-valued function in one-dimensional real discrete metric space. The method involves a derivative and is considered to be convergent very fast. However, the derivative is derived from the limit definition with respect to the Euclidean distance, different from that of the discrete metric space. This research investigates the Newton-Raphson method with respect to derivatives defined in discrete metric spaces by deriving the derivative first. The results show that the constructed Newton-Raphson method can be an alternative root-finding method exemplified by some examples. \u0000Keywords: Newton-Raphson method, discrete metric space, metric space derivative","PeriodicalId":516586,"journal":{"name":"Jurnal Ilmiah Matematika dan Pendidikan Matematika","volume":"9 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140508248","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 : 2024-01-15DOI: 10.20884/1.jmp.2023.15.2.8536
M. Huda, Sri Wigantono, Syaripuddin Syaripuddin, Riza F. Ramadhan
This paper studied the Leslie-Gower predator-prey model with the effects of prey refuge and linear harvesting on predator populations. Prey populations grow as a logistic model when there is no interaction with predators. The predator population is assumed to have economic value. Analysis of Bionomic and Harvesting Control have been studied further. The results showed that the protective effect of prey had an effect on harvesting activity in the population so that it affected profits in predatory harvests. Simulation of several calculations is given to purchase the analysis results
{"title":"KONTROL OPTIMAL MODEL LESLIE-GOWER DENGAN PEMANENAN PADA POPULASI PREDATOR DAN PERLINDUNGAN PADA PREY","authors":"M. Huda, Sri Wigantono, Syaripuddin Syaripuddin, Riza F. Ramadhan","doi":"10.20884/1.jmp.2023.15.2.8536","DOIUrl":"https://doi.org/10.20884/1.jmp.2023.15.2.8536","url":null,"abstract":"This paper studied the Leslie-Gower predator-prey model with the effects of prey refuge and linear harvesting on predator populations. Prey populations grow as a logistic model when there is no interaction with predators. The predator population is assumed to have economic value. Analysis of Bionomic and Harvesting Control have been studied further. The results showed that the protective effect of prey had an effect on harvesting activity in the population so that it affected profits in predatory harvests. Simulation of several calculations is given to purchase the analysis results","PeriodicalId":516586,"journal":{"name":"Jurnal Ilmiah Matematika dan Pendidikan Matematika","volume":"8 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140508307","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 : 2024-01-15DOI: 10.20884/1.jmp.2023.15.2.7853
Rido Trimanto, Yudi Ari Adi
Makalah ini membahas model pemangsa-mangsa di kawasan konservasi perairan dalam orde fraksional menggunakan turunan Caputo Fabrizio. Tujuan dari penelitian ini adalah untuk mempelajari dinamika populasi di kawasan konservasi. Berdasarkan model, kami memperoleh tiga titik kesetimbangan. Dari model tersebut diperoleh bahwa titik kesetimbangan kepunahan semua subpopulasi tidak stabil. Sementara iti, titik keseimbangan kepunahan populasi predator adalah stabil asimtotik lokal dengan kondisi tertentu. Selanjutnya untuk titik kesetimbangan dengan semua populasi ada stabil secara global asimtotik jika memenuhi kondisi tertentu. Simulasi numerik dilakukan dengan menggunakan metode Adams Bashfort tiga langkah dengan turunan Caputo Fabrizio untuk mendukung hasil teoritis. Simulasi menunjukkan bahwa semakin kecil order semakin mempercepat populasi konvergen ke titik kesetimbangan.
{"title":"MODEL FRAKSIONAL PREDATOR-PREY PADA KAWASAN KONSERVASI PERAIRAN","authors":"Rido Trimanto, Yudi Ari Adi","doi":"10.20884/1.jmp.2023.15.2.7853","DOIUrl":"https://doi.org/10.20884/1.jmp.2023.15.2.7853","url":null,"abstract":"Makalah ini membahas model pemangsa-mangsa di kawasan konservasi perairan dalam orde fraksional menggunakan turunan Caputo Fabrizio. Tujuan dari penelitian ini adalah untuk mempelajari dinamika populasi di kawasan konservasi. Berdasarkan model, kami memperoleh tiga titik kesetimbangan. Dari model tersebut diperoleh bahwa titik kesetimbangan kepunahan semua subpopulasi tidak stabil. Sementara iti, titik keseimbangan kepunahan populasi predator adalah stabil asimtotik lokal dengan kondisi tertentu. Selanjutnya untuk titik kesetimbangan dengan semua populasi ada stabil secara global asimtotik jika memenuhi kondisi tertentu. Simulasi numerik dilakukan dengan menggunakan metode Adams Bashfort tiga langkah dengan turunan Caputo Fabrizio untuk mendukung hasil teoritis. Simulasi menunjukkan bahwa semakin kecil order semakin mempercepat populasi konvergen ke titik kesetimbangan.","PeriodicalId":516586,"journal":{"name":"Jurnal Ilmiah Matematika dan Pendidikan Matematika","volume":"152 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139640456","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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