Jurnal Varian最新文献

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Cluster Analysis of Inclusive Economic Development Using K-Means Algorithm 基于k -均值算法的包容性经济发展聚类分析
Jurnal Varian Pub Date : 2022-04-30 DOI: 10.30812/varian.v5i2.1894
Riska Yanu Fa’rifah, Dita Pramesti
{"title":"Cluster Analysis of Inclusive Economic Development Using K-Means Algorithm","authors":"Riska Yanu Fa’rifah, Dita Pramesti","doi":"10.30812/varian.v5i2.1894","DOIUrl":"https://doi.org/10.30812/varian.v5i2.1894","url":null,"abstract":"This study aims to cluster 38 Districts/Cities in East Java based on the 10 forming indicators of inclusive economic development and to determine the inclusive economic growth of Districts/Cities above or below the total average. 10 indicators used in this study are GRDP per capita, GRDP by business field, Labor force participation rate, Unemployment rate, Gini ratio, Expenditure per capita, the number of poverty, Life expectancy, expectation years of schooling, and mean years of schooling. There are 3 scenarios in this study, namely 2 clusters, 3 clusters, and 4 clusters. The method of clustering in this study is using the K-means algorithm. This study uses the silhouette coefficient to evaluate the best cluster of 3 scenarios. The best k-means algorithm in this study is using 2 clusters with a silhouette coefficient of 0.87. There are 29 Districts/Cities included in cluster 1 with inclusive economic development below the total average and 9 Districts/Cities included in cluster 2 with inclusive economic development above the total average. The members of cluster 1 are mostly district areas and located in coastal or border areas and the members of cluster 2 are mostly urban or industrial areas.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"49 s173","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113953862","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}
引用次数: 0
Modified Hungarian Method for Solving Balanced Fuzzy Transportation Problems 求解平衡模糊运输问题的改进匈牙利法
Jurnal Varian Pub Date : 2022-04-30 DOI: 10.30812/varian.v5i2.1865
Fried Markus Allung Blegur, Nugraha K. F. Dethan
{"title":"Modified Hungarian Method for Solving Balanced Fuzzy Transportation Problems","authors":"Fried Markus Allung Blegur, Nugraha K. F. Dethan","doi":"10.30812/varian.v5i2.1865","DOIUrl":"https://doi.org/10.30812/varian.v5i2.1865","url":null,"abstract":"This paper discusses how to solve balanced transportation problems, with transportation costs in the form of trapezoidal fuzzy numbers. Fuzzy costs are transformed into crisp costs using the Robust’s method as a ranking function. A new approach of modified Hungarian method has been applied to solve the problem of fuzzy transportation. This approach solves the fuzzy transportation problem in one stage of optimization and yields the same results as other methods that solve the problem in two stages.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127709410","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}
引用次数: 0
Expansion of Stock Portfolio Risk Analysis Using Hybrid Monte Carlo-Expected Tail Loss 基于混合蒙特卡罗-期望尾损失的股票投资组合风险分析扩展
Jurnal Varian Pub Date : 2022-04-26 DOI: 10.30812/varian.v5i2.1813
Wisnowan Hendy Saputra, Ika Safitri
{"title":"Expansion of Stock Portfolio Risk Analysis Using Hybrid Monte Carlo-Expected Tail Loss","authors":"Wisnowan Hendy Saputra, Ika Safitri","doi":"10.30812/varian.v5i2.1813","DOIUrl":"https://doi.org/10.30812/varian.v5i2.1813","url":null,"abstract":"Monte Carlo-Expected Tail Loss (MC-ETL) is the new expansion method that combines simulation and calculation to measure investment risk. This study models US stock prices using ARIMA-GARCH and forms an optimized portfolio based on Multi-Objective that aims to analyze the portfolio investment return. The next portfolio return will be simulated using the Monte Carlo (MC) method, measured based on the Expected Tail Loss (ETL) calculation. The optimized portfolio comprises 5 US stocks from 10 years of data, with the biggest capitalization market on February 25, 2021. MSFT has the most considerable weight in the optimized portfolio, followed by GOOG, AAPL, and AMZN, whereas TSLA shares have negligible weight. Based on the simulation result, the optimized portfolio has the smallest ETL value compared to its constituent stocks, which is ±0.029 or about 2.9%. This value means that the optimized portfolio is concluded as an investment choice for investors with a low level of risk.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130531944","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}
引用次数: 0
Forcasting Stock Price PT. Indonesian Telecomunication with ARCH-GARCH Model 用ARCH-GARCH模型预测印尼电信公司股价
Jurnal Varian Pub Date : 2022-04-26 DOI: 10.30812/varian.v5i2.1543
Wahidah Alwi, Aprilia Pratiwi S, Ilham Syata
{"title":"Forcasting Stock Price PT. Indonesian Telecomunication with ARCH-GARCH Model","authors":"Wahidah Alwi, Aprilia Pratiwi S, Ilham Syata","doi":"10.30812/varian.v5i2.1543","DOIUrl":"https://doi.org/10.30812/varian.v5i2.1543","url":null,"abstract":"This research discusses the modeling of time series using R software, focusing on forecasting the stock price of PT. Indonesian telecommunications with ARCH-GARCH model. The data used daily closing data on stock prices from January 6, 2020, to January 6, 2021 was obtained from the website www.finance.yahoo.com. The goal is to find out the best model arch-garch on PT. Indonesian telecommunications to find out the results of stock price forecasting the next day using the ARCH-GARCH model. The best model was ARIMA (2,1,3). The results of the ARCH-LM test showed the data contained heteroskedasticity effects or ARCH elements. The research models proposed in this study are ARCH (1) and ARCH-GARCH (1,1). The smallest AIC and BIC values of these two models are ARCH-GARCH (1,1) which is the best model for forecasting the stock price of PT. Indonesian telecommunications for the next 10 days. The study attempts to conduct stock price forecasting with the ARCH-GARCH model. The result of the forecasting of the share price of PT. Indonesian telecommunications from January 07, 2021 to January 20, 2021 respectively except for holidays is IDR 3374.884, IDR 3379.617,IDR 3378.305, IDR 3376.610, IDR 3380.050, IDR 3376.372, IDR 3379.071, IDR 3377.964, IDR 3377.515, IDR 3379.002. Forecasting results are close to factual data for forecasting the next 10 days so that they can be taken into consideration in investing by investors.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133253761","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}
引用次数: 0
The Defuzzification Methods Comparison of Mamdani Fuzzy Inference System in Predicting Tofu Production Mamdani模糊推理系统在豆腐产量预测中的去模糊化方法比较
Jurnal Varian Pub Date : 2022-04-26 DOI: 10.30812/varian.v5i2.1816
G. Mada, Nugraha K. F. Dethan, Andika Ellena Saufika Hakim Maharani
{"title":"The Defuzzification Methods Comparison of Mamdani Fuzzy Inference System in Predicting Tofu Production","authors":"G. Mada, Nugraha K. F. Dethan, Andika Ellena Saufika Hakim Maharani","doi":"10.30812/varian.v5i2.1816","DOIUrl":"https://doi.org/10.30812/varian.v5i2.1816","url":null,"abstract":"One of the tofu-producing companies in Kupang City is Bintang Oesapa. With the Covid-19 pandemic,the factory needs to reconsider the amount of production by taking into account the unpredictability ofdemand and resources to minimize losses due to excessive accumulation or shortages of supplies. Indetermining the amount of production, Mamdani’s Fuzzy Inference System (FIS) can be used, whichis a method for the analysis of an uncertain system. This method has three stages in the process ofdecision making, namely fuzzification, inferencing and defuzzification. In the defuzzification stage,the FIS Mamdani has five methods, namely Centroid, Bisector, Mean of Maximum (MOM), Smallestof Maximum (SOM), and Largest of Maximum (LOM). This study discusses an application of FISMamdani with five defuzzification methods for determining daily tofu production. The purpose of thisstudy is to offer a solution by first comparing the five defuzzification methods in assessing the amount oftofu production at the Bintang Oesapa factory and then determining that which is most appropriate. Theinput variables used in this research are the amount of demand and the amount of available stock, whilethe amount of production is our variable of interest. The results showed that the best defuzzificationmethod was the MOM method with an accuracy level of 94.73% and a small error value, 5.27%. TheMOM defuzzification is expected to aid decision makers in determining the best amount of productionduring the pandemic.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126187592","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}
引用次数: 5
Determinants of Leprosy Prevalence in Sulawesi Island Using Spatial Error Model 利用空间误差模型分析苏拉威西岛麻风流行的决定因素
Jurnal Varian Pub Date : 2022-04-23 DOI: 10.30812/varian.v5i2.1632
Geraldi Putra P Balebu, S. I. Oktora
{"title":"Determinants of Leprosy Prevalence in Sulawesi Island Using Spatial Error Model","authors":"Geraldi Putra P Balebu, S. I. Oktora","doi":"10.30812/varian.v5i2.1632","DOIUrl":"https://doi.org/10.30812/varian.v5i2.1632","url":null,"abstract":"Leprosy is one of the infectious diseases and has become a serious health problem in Indonesia. Based on the publication of the Health Ministry of Republik Indonesia, there are still many areas in Indonesia that have not reached the leprosy elimination status, one of which is Sulawesi Island. The condition of leprosy prevalence in Sulawesi Island is still fluctuating and tends to be high. In addition, leprosy can also be spread across regions. This study aims to analyze whether a spatial effect is present on leprosy prevalence and determine the variables that possibly affect leprosy prevalence. Data used are from Health Profile and Province in Figure publications with an analysis unit consisting of 81 districts/cities. The results show that there is a spatial effect on leprosy prevalence in Sulawesi Island. Queen contiguity-based spatial weights are also considered while performing the spatial analysis. Based on the results of Spatial Error Models can be concluded that population density, the number of multibacillary (MB) leprosy cases, and spatial effect significantly affect the leprosy prevalence. In contrast, a clean and healthy lifestyle, proper water access, and proper sanitation access do not significantly affect the leprosy prevalence.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123010240","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}
引用次数: 1
Convolutional Neural Network for Cataract Maturity Classification Based LeNet 基于LeNet的白内障成熟度分类卷积神经网络
Jurnal Varian Pub Date : 2022-04-19 DOI: 10.30812/varian.v5i2.1629
Radimas Putra Muhammad Davi Labib, Sirojul Hadi, P. D. Widayaka, Irmalia Suryani Faradisa
{"title":"Convolutional Neural Network for Cataract Maturity Classification Based LeNet","authors":"Radimas Putra Muhammad Davi Labib, Sirojul Hadi, P. D. Widayaka, Irmalia Suryani Faradisa","doi":"10.30812/varian.v5i2.1629","DOIUrl":"https://doi.org/10.30812/varian.v5i2.1629","url":null,"abstract":"The eyes are one of the vital organs owned by humans. One of the common eye diseases is cataracts. This disease is characterized by clouding of the lens of the eye and can interfere with vision. Worst case, sufferers can experience blindness. Cataract maturity can be divided into four categories, namely incipient, immature, mature, and hypermature. Cataracts can be removed through surgery when the cataract is in the mature or hypermature phase. Cataract examination is usually done using a slit lamp. The lack of hospitals that have this equipment can cause delays in the healing process for cataract sufferers. This study created an image processing algorithm for the maturity classification process of cataracts using the Convolutional Neural Network method with LeNet network architecture. The algorithm that has been built is capable of classifying the maturity of cataracts with an accuracy rate of 93.33%","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"50 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120917908","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}
引用次数: 1
Workload and Performance of Nurses During The Covid-19 Pandemic: A Meta Analysis Study
Jurnal Varian Pub Date : 2022-04-19 DOI: 10.30812/varian.v5i2.1657
Gde Palguna Reganata, I. Saputra
{"title":"Workload and Performance of Nurses During The Covid-19 Pandemic: A Meta Analysis Study","authors":"Gde Palguna Reganata, I. Saputra","doi":"10.30812/varian.v5i2.1657","DOIUrl":"https://doi.org/10.30812/varian.v5i2.1657","url":null,"abstract":"The surge in Covid-19 cases has caused hospitals and health workers to experience functional collapse. \u0000The high workload in handling Covid-19 cases by nurses is happening everywhere. Many studies \u0000have been conducted to look at the effect of workload on nurse performance during a pandemic. This \u0000research was conducted to determine the effect of workload on the performance of nurses with a meta- \u0000analysis approach. This type of research is observational with a retrospective approach. This research \u0000conducted through secondary data obtained from relevant sources related to the workload of nurses and \u0000nurse performance in various journals. The population and samples were taken from studies that met \u0000the criteria. Data analysis using meta-analysis. The result showed that there is a negative correlation \u0000between workload and performance of nurses, with ρ= 0 .334 are in the reception area of the 95% (0.334±0.219) confidence interval with p-value < 0.0001. Workload has a contradictory effect \u0000on performance, where when the workload of nurses is high, nurses tend to experience a decrease in \u0000performance. This needs to be a serious concern, because nurses are at the forefront of health services. \u0000If the nurse’s performance has started to decline, then the patient’s handling becomes not optimal and \u0000can increase the risk of death for the patient.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130689840","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}
引用次数: 2
The Effectiveness of Vaccination Against The Spread of COVID-19 with SEIR Mathematical Modeling in Gowa District 利用SEIR数学模型研究果瓦地区预防COVID-19传播的疫苗接种效果
Jurnal Varian Pub Date : 2021-11-10 DOI: 10.30812/varian.v5i1.1404
S. Side, Putri Kharina Mahathir Hulinggi, Husnul Khatimah Syam, M. Irfan, Andi Gagah Palarungi Taufik
{"title":"The Effectiveness of Vaccination Against The Spread of COVID-19 with SEIR Mathematical Modeling in Gowa District","authors":"S. Side, Putri Kharina Mahathir Hulinggi, Husnul Khatimah Syam, M. Irfan, Andi Gagah Palarungi Taufik","doi":"10.30812/varian.v5i1.1404","DOIUrl":"https://doi.org/10.30812/varian.v5i1.1404","url":null,"abstract":"The spread of disease in epidemic range, endemic range, as well as in the pandemic range that is spreading of the disease can be stopped with getting vaccinated. The vaccines that are effective and efficient can be the missile that stopped this Covid-19 pandemic. The aim of this research is to (1) know the mapping model of mathematics SEIR in distributing vaccines toward the spread of Covid-19 in Kabupaten Gowa, (2) know the analysis and model simulation of mathematics SEIR in distributing vaccine toward the spread of Covid-19 in Kabupaten Gowa, also (3) know the impact of distributing vaccine toward the spread of Covid-19 in Kabupaten Gowa. The method we used is the literature review, the collecting data obtained by an interview and documentation review. The research result discovered that the model of mathematics SEIR is used to describe the distribution of vaccines toward the spread of Covid-19 in Kabupaten Gowa. The analysis and simulation results model of mathematics SEIR showed that the higher vaccines effectiveness and the number of the population in Kabupaten Gowa that already had vaccinated is higher, then showed no more spreads of Covid-19 and the pandemic is over.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128470084","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}
引用次数: 3
Mathematical Modelling of Deforestation Due to Population Density and Industrialization 人口密度和工业化导致森林砍伐的数学模型
Jurnal Varian Pub Date : 2021-11-10 DOI: 10.30812/varian.v5i1.1412
D. D., Irwan Kasse
{"title":"Mathematical Modelling of Deforestation Due to Population Density and Industrialization","authors":"D. D., Irwan Kasse","doi":"10.30812/varian.v5i1.1412","DOIUrl":"https://doi.org/10.30812/varian.v5i1.1412","url":null,"abstract":"The focus of the study in this paper is to model deforestation due to population density and industrialization. To begin with, it is formulated into a mathematical modelling which is a system of non-linear differential equations. Then, analyze the stability of the system based on the Routh-Hurwitz stability criteria. Furthermore, a numerical simulation is performed to determine the shift of a system. The results of the analysis to shown that there are seven non-negative equilibrium points, which in general consist equilibrium point of disturbance-free and equilibrium points of disturbances. Equilibrium point TE7(x, y, z) analyzed to shown asymptotically stable conditions based on the Routh-Hurwitz stability criteria. The numerical simulation results show that if the stability conditions of a system have been met, the system movement always occurs around the equilibrium point.","PeriodicalId":188119,"journal":{"name":"Jurnal Varian","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124149635","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}
引用次数: 2
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