Parameter: Journal of Statistics最新文献

ANALYZING THE QUALITY OF MEASUREMENT INSTRUMENTS OF MULTIPLE CHOICE QUESTIONS ON CLASS XI ECONOMICS MATERIAL IN PUBLIC HIGH SCHOOL 3 GORONTALO THROUGH CLASSICAL TEST THEORY AND RASCH MODELS 运用经典测试理论和rasch模型分析公办高中部经济学十一课多项选择题测量工具的质量

Parameter: Journal of Statistics Pub Date : 2023-06-30 DOI: 10.22487/27765660.2023.v3.i1.16417

Luthfiah Yulisharyasti, Ansor Nurdin, Nanda Aulia, Fhahnul Aiman H Arfa, Fadjryani

{"title":"ANALYZING THE QUALITY OF MEASUREMENT INSTRUMENTS OF MULTIPLE CHOICE QUESTIONS ON CLASS XI ECONOMICS MATERIAL IN PUBLIC HIGH SCHOOL 3 GORONTALO THROUGH CLASSICAL TEST THEORY AND RASCH MODELS","authors":"Luthfiah Yulisharyasti, Ansor Nurdin, Nanda Aulia, Fhahnul Aiman H Arfa, Fadjryani","doi":"10.22487/27765660.2023.v3.i1.16417","DOIUrl":"https://doi.org/10.22487/27765660.2023.v3.i1.16417","url":null,"abstract":"One form of evaluation of student learning outcomes is the Final Semester Examination. This exam is designed to measure the extent of achievement of educational objectives. A good evaluation must meet several criteria, including good item validity and reliability, a variety of difficulty levels, and the power of differentiation. This study aims to describe the results of a comparative analysis of the quality of measurement instruments in the form of multiple-choice questions using the classical test theory approach and the Rasch model in terms of validity, reliability, difficulty level, and question differentiation. Data were obtained through a website that presents multiple choice exam results of grade XI students at SMA Negeri 3 Gorontalo, consisting of 26 female students and 10 male students. The results showed that in the instrument validity analysis, the Rasch model showed more valid items with a determination category of 0.4 < pt measure corr < 0.8. This means that the Rasch model provides a better analysis compared to the classical test theory analysis. In the reliability analysis, the reliability value of items in the Rasch model is higher but in almost the same category. In analyzing the difficulty level of the instrument, the classical test theory approach shows that the items are in the easy, medium, and difficult categories, so they are still considered capable of measuring students' abilities. However, in the Rasch model, items are only in the very easy, difficult, and extremely difficult categories. In analyzing the power of differentiation, the classical test theory method and the Rasch model have not provided good enough results to identify respondents in several groups based on their level of understanding","PeriodicalId":337689,"journal":{"name":"Parameter: Journal of Statistics","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127379365","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

GROUPING OF POVERTY IN INDONESIA USING K-MEANS WITH SILHOUETTE COEFFICIENT 用轮廓系数的k -均值对印度尼西亚的贫困进行分组

Parameter: Journal of Statistics Pub Date : 2023-06-30 DOI: 10.22487/27765660.2023.v3.i1.16435

Gustriza Erda, Chairani Gunawan, Zulya Erda

引用次数: 1

APPLICATION OF THE RASCH MODEL TO TEST TOOLS IN THE ANALYSIS OF SURVEY DESIGN 拉什模型测试工具在调查设计分析中的应用

Parameter: Journal of Statistics Pub Date : 2023-06-30 DOI: 10.22487/27765660.2023.v3.i1.16412

Nini Anggraini, Chantika Nabillah, Herdi Dermawan Lonan, Hartayuni Sain

引用次数: 0

SPATIAL DURBIN MODEL OF UNEMPLOYMENT RATE IN CENTRAL JAVA 中爪哇失业率的空间durbin模型

Parameter: Journal of Statistics Pub Date : 2023-06-30 DOI: 10.22487/27765660.2023.v3.i1.16423

F. Fauzi, G. H. Wenur, R. Wasono

{"title":"SPATIAL DURBIN MODEL OF UNEMPLOYMENT RATE IN CENTRAL JAVA","authors":"F. Fauzi, G. H. Wenur, R. Wasono","doi":"10.22487/27765660.2023.v3.i1.16423","DOIUrl":"https://doi.org/10.22487/27765660.2023.v3.i1.16423","url":null,"abstract":"Unemployment is a labor problem that is often faced by developing countries like Indonesia. The number of unemployed in Indonesia has fluctuated from year to year, including in Central Java Province. One of the efforts made to overcome this problem is to know the factors that influence unemployment. The region effect greatly affects the open unemployment rate. Modeling involving area effects is very precise, one of which is the Spatial Durbin Model (SDM). In this study, modeling of the open unemployment rate was carried out using a spatial approach in each district/city in Central Java. The models used in this study are Ordinary Last Square (OLS), Spatial Auto Regressive (SAR), Spatial Error Models (SEM), Spatial Durbin Model (SDM), Spatial Error Durbin Model (SDEM). The five methods were evaluated using the Akaike Information Criteria (AIC). The spatial weighting used in this study is Queen Contiguity. Based on the smallest AIC value (115.42), the best method in this study is HR. Meanwhile, the significant factors are the percentage of labor force participation rate (X1), the number of poor people (X4), the lag of economic growth, the lag of poverty, and the lag of the district/city minimum wage","PeriodicalId":337689,"journal":{"name":"Parameter: Journal of Statistics","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133140978","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

APPLICATION OF TIME SERIES CLUSTER ANALYSIS IN CLUSTERING THE CENTRAL JAVA PROVINCE BASED ON THE POVERTY DEPTH INDEX 基于贫困深度指数的时间序列聚类分析在中爪哇省聚类中的应用

Parameter: Journal of Statistics Pub Date : 2023-06-30 DOI: 10.22487/27765660.2023.v3.i1.16408

Zulfanita Dien Rizqiana

{"title":"APPLICATION OF TIME SERIES CLUSTER ANALYSIS IN CLUSTERING THE CENTRAL JAVA PROVINCE BASED ON THE POVERTY DEPTH INDEX","authors":"Zulfanita Dien Rizqiana","doi":"10.22487/27765660.2023.v3.i1.16408","DOIUrl":"https://doi.org/10.22487/27765660.2023.v3.i1.16408","url":null,"abstract":"Poverty is a problem that continues to be faced, especially in developing countries such as Indonesia. Poverty is included in one of the Sustainable Development Goals (SDGs) programs, which is related to hunger and health. The time series data can be clustered based on the characteristics of the time series data and adjusted to the time series pattern. The choice of distance and method used must be adjusted to the dynamic structure of time series data. The purpose of this research is to cluster districts/cities in Central Java Province based on the poverty depth index value from 2017 to 2022. The variable that used in this research is the Poverty Depth Index of 35 districts in Central Java Province from 2017 to 2022. This research used cluster time series with DTW similarity measurment. Based on theDTW and cophenetic coefficient correlation value using three linkage methods, the average linkage method has the highest cophenetic coefficient correlation value of 0.8017988. Testing the quality of clusters using the silhouette coefficient using DTW distance and average linkage method and 2 clusters are included in the good cluster category with a silhouette coefficient value of 0.60. The resulting clusters using the DTW distance and average linkage method are cluster 1 consisting of 25 districts / cities and cluster 2 consisting of 10 districts.","PeriodicalId":337689,"journal":{"name":"Parameter: Journal of Statistics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126835955","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

BAYESIAN MARKOV CHAIN MONTE CARLO SIMULATION OF NONLIENAR MODEL FOR INFECTIOUS DISEASES WITH QUARANTINE 带检疫传染病非线性模型的贝叶斯马尔可夫链蒙特卡罗模拟

Parameter: Journal of Statistics Pub Date : 2023-06-30 DOI: 10.22487/27765660.2023.v3.i1.16445

I. Usman

引用次数: 0

Analysis of The Effect of Life Expectancy (AHH) and Per Capita Expenditure on The Human Development Index (HDI) in Central Sulawesi Province in 2019 2019年中苏拉威西省预期寿命和人均支出对人类发展指数的影响分析

Parameter: Journal of Statistics Pub Date : 2023-01-10 DOI: 10.22487/27765660.2022.v2.i3.15373

Nur Sakinah, Nurmasyita Ihlasia, Nurfitra, Marni Sagap, Rohis Rachman, L. Handayani

引用次数: 0

Unpacking Outlier with Weight Least Square (Implemented on Pepper Plantations Data) 利用权值最小二乘解包离群值(在胡椒种植园数据上实现)

Parameter: Journal of Statistics Pub Date : 2023-01-04 DOI: 10.22487/27765660.2022.v2.i3.16138

Rizka Pradita Prasetya

{"title":"Unpacking Outlier with Weight Least Square (Implemented on Pepper Plantations Data)","authors":"Rizka Pradita Prasetya","doi":"10.22487/27765660.2022.v2.i3.16138","DOIUrl":"https://doi.org/10.22487/27765660.2022.v2.i3.16138","url":null,"abstract":"Outliers in regression analysis can cause large residuals, the diversity of the data becomes greater, causing the data to be heterogenous. If an outlier is caused by an error in recording observations or an error in preparing equipment, the outlier can be ignored or discarded before data analysis is carried out. However, if outliers exist not because of the researcher's error, but are indeed information that cannot be provided by other data, then the outlier data cannot be ignored and must be included in data analysis. There are several methods to deal with outliers. The Weight Least Square method produces good results and is quite resistive to outliers. The WLS method is used to overcome the regression model with non-constant error variance, because WLS has the ability to neutralize the consequences of violating the normality assumption caused by the presence of outliers and can eliminate the nature of unusualness and consistency of the OLS estimate. To compare the level of estimator accuracy between regression models, the mean absolute percentage error (MAPE) is used. Based on the results of this study, it was concluded that the WLS method produced a smaller Mean Absolute Percentage Error value so that the use of this method was more appropriate because it was not susceptible to the effect of outliers.","PeriodicalId":337689,"journal":{"name":"Parameter: Journal of Statistics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133561053","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

Classifiying The Factors Influencing The Human Development Index in Riau Province using Principal Component Analysis 利用主成分分析法对廖内省人类发展指数影响因素进行分类

Parameter: Journal of Statistics Pub Date : 2023-01-02 DOI: 10.22487/27765660.2022.v2.i3.16203

Gustriza Erda, Sartika Mega Aulia, Zulya Erda

引用次数: 0

Modeling of Poverty Level in Central Sulawesi Using Nonparametric Kernel Regression Analysis Approach 基于非参数核回归分析方法的苏拉威西中部贫困水平建模

Parameter: Journal of Statistics Pub Date : 2022-12-31 DOI: 10.22487/27765660.2022.v2.i3.15743

Nur Sakinah, Nurfitra, Nurmasyita Ihlasia, L. Handayani

引用次数: 0