Indonesian Journal of Applied Statistics最新文献_第4页

Analisis Faktor yang Berpengaruh terhadap Waktu Survival Pasien Penyakit Ginjal Kronis menggunakan Uji Asumsi Proportional Hazard 慢性肾病患者生存时间的因素分析使用比例假设假设危险

Indonesian Journal of Applied Statistics Pub Date : 2022-05-30 DOI: 10.13057/ijas.v5i1.48121

Assyifa Lala Pratiwi Hamid, S. Subanti, Yulia Susanti

{"title":"Analisis Faktor yang Berpengaruh terhadap Waktu Survival Pasien Penyakit Ginjal Kronis menggunakan Uji Asumsi Proportional Hazard","authors":"Assyifa Lala Pratiwi Hamid, S. Subanti, Yulia Susanti","doi":"10.13057/ijas.v5i1.48121","DOIUrl":"https://doi.org/10.13057/ijas.v5i1.48121","url":null,"abstract":"Chronic kidney disease is a disease whose risk of death is always increasing. This disease was ranked as the 13th leading cause of death in Indonesia in 2017. One of the successful managements of chronic kidney disease can be seen from the possibility of survival of patients with chronic kidney disease. To identify the probability of survival of an object, survival analysis is used. One method of survival analysis that can be used to determine the survival time of patients with chronic kidney disease is Cox regression. Cox regression must satisfy the proportional hazard assumption, where the ratio of the two hazard values must be constant with time. The graphical method, namely the log-log graph, can be used to test the proportional hazard assumption, but the results are only used as a provisional estimate. In this study, the goodness of fit test was used to test the assumptions by calculating the correlation between the Schoenfeld residuals and the survival time rank. In conclusion, the variables of hypertension and haemodialysis frequency meet the proportional hazard assumption.Keywords: chronic kidney disease; Cox regression; goodness of fit; log-log graph; proportional hazard assumption","PeriodicalId":112023,"journal":{"name":"Indonesian Journal of Applied Statistics","volume":"43 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126904996","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

Pemodelan Kasus Kronis Filariasis di Indonesia Tahun 2019 Menggunakan Geographically Weighted Negative Binomial Regression (GWNBR)

Indonesian Journal of Applied Statistics Pub Date : 2022-05-30 DOI: 10.13057/ijas.v5i1.59127

S. R. Y. Sinurat, Ernawati Pasaribu

{"title":"Pemodelan Kasus Kronis Filariasis di Indonesia Tahun 2019 Menggunakan Geographically Weighted Negative Binomial Regression (GWNBR)","authors":"S. R. Y. Sinurat, Ernawati Pasaribu","doi":"10.13057/ijas.v5i1.59127","DOIUrl":"https://doi.org/10.13057/ijas.v5i1.59127","url":null,"abstract":"Filariasis is a mosquito-borne disease caused by filarial worms. In Indonesia, filariasis is the third most common vector-borne and zoonotic disease in the community. Patients who in the chronic stage will fell pain due to swelling and infection in the limbs so that it can ruin the daily activities, reduce work productivity and cause economic losses for both sufferers and the country. In 2019, there were 28 filariasis endemic provinces and only 6 non-endemic provinces. This shows that the treatment of filariasis has not been fully successful. This study aims to determine the general description of chronic cases of filariasis, identify spatial heterogeneity and analyze factors that influence the number of chronic cases of filariasis using GWNBR. The modeling results five provinces groups based on significant variables. Variables that have a significant effect in all provinces are the ratio of health facilities of 100,000 population, the percentage of regions with PHBS policies and the average humidity. Meanwhile, the significant variables in several provinces are the percentage of slum households, the percentage of poor people and the average air temperature.Keywords: filariasis; overdispersion; spatial heterogeneity; negative binomial; GWNBR","PeriodicalId":112023,"journal":{"name":"Indonesian Journal of Applied Statistics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127939243","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

Early Detection of South Korean Financial Crisis using MS-GARCH Based on Term of Trade Indicator 基于贸易条件指标的MS-GARCH对韩国金融危机的预警

Indonesian Journal of Applied Statistics Pub Date : 2021-11-29 DOI: 10.13057/ijas.v4i2.49169

Husna Afanyn Khoirunissa, S. Sugiyanto, S. Subanti

{"title":"Early Detection of South Korean Financial Crisis using MS-GARCH Based on Term of Trade Indicator","authors":"Husna Afanyn Khoirunissa, S. Sugiyanto, S. Subanti","doi":"10.13057/ijas.v4i2.49169","DOIUrl":"https://doi.org/10.13057/ijas.v4i2.49169","url":null,"abstract":"Abstract. The 1997 Asian financial crisis, which occurred until 1998, had a significant impact on the economies of Asian countries, including South Korea. The crisis brought down the South Korean currency quickly and sent the economy into sudden decline. Because the impact of the financial crisis was severe and sudden, South Korean requires a system which able to sight crisis signals, therefore that, the crisis will be fended off. One in all the indicators that can detect the financial crisis signals is that the term of trade indicator which has high fluctuation and change in the exchange rate regime. The mixture of Markov Switching and volatility models, Generalized Autoregressive Conditional Heteroscedasticity (GARCH), or MS-GARCH could explain the crisis. The MS-GARCH model was built using data from the South Korean term of trade indicator during January 1990 until March 2020. The findings obtained in this research can be inferred that the best model of the term of trade is MS-GARCH (2,1,1). Term of trade indicator on that model could explain the Asian monetary crisis in 1997 and also the global monetary crisis in 2008. The smoothed probability of term of trade indicators predicts in April till December 2020 period, there will be no signs of the monetary crisis in South Korea.Keywords: financial crisis, MS-GARCH, South Korea, term of trade indicator","PeriodicalId":112023,"journal":{"name":"Indonesian Journal of Applied Statistics","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117193120","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 Analytic Hierarchy Process and Weighted Product Methods in Determining the Best Employees 层次分析法和加权积法在最佳员工决策中的应用

Indonesian Journal of Applied Statistics Pub Date : 2021-11-29 DOI: 10.13057/ijas.v4i2.44059

S. Harjanto, Setiyowati Setiyowati, Retno Tri Vulandari

{"title":"Application of Analytic Hierarchy Process and Weighted Product Methods in Determining the Best Employees","authors":"S. Harjanto, Setiyowati Setiyowati, Retno Tri Vulandari","doi":"10.13057/ijas.v4i2.44059","DOIUrl":"https://doi.org/10.13057/ijas.v4i2.44059","url":null,"abstract":"Abstract. Employees are one of the company's assets that must be managed properly. Therefore the selection of the best employees is now needed. The problem faced in determining the best and qualified employees is that there are still no standards in assessing only one person subjectively in determining the best employee, which consequently lacks appropriate or objective results. To provide rewards for the best employees, we need a system to support the decisions of the best employees who deserve to receive rewards to be on target. The purpose of this research is to design and build a decision support system application in determining the best employees using the analytic hierarchy process and weighted product methods. Stages of software development of the Software Development Life Cycle (SDLC) uses a waterfall, that is data analysis, system design, construction, coding, testing and implementation. The results of this process are in the form of calculation applications that have been obtained from the analytic hierarchy process and weighted product methods in determining the best employee. The result gives an accuracy rate of 82.3%.Keywords: analytic hierarchy process, weighted product, decision support system, employees","PeriodicalId":112023,"journal":{"name":"Indonesian Journal of Applied Statistics","volume":"44 15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125298466","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

Peramalan Data Inflow dan Outflow Uang Kartal Bank Indonesia Provinsi DKI Jakarta Menggunakan Model ARIMAX dan SARIMAX

Indonesian Journal of Applied Statistics Pub Date : 2021-11-29 DOI: 10.13057/ijas.v4i2.45673

Atika Amalia, E. Zukhronah, S. Subanti

{"title":"Peramalan Data Inflow dan Outflow Uang Kartal Bank Indonesia Provinsi DKI Jakarta Menggunakan Model ARIMAX dan SARIMAX","authors":"Atika Amalia, E. Zukhronah, S. Subanti","doi":"10.13057/ijas.v4i2.45673","DOIUrl":"https://doi.org/10.13057/ijas.v4i2.45673","url":null,"abstract":"Abstract. DKI Jakarta Province plays a crucial role as the center of government and economy in Indonesia. The description of currency inflows and outflows is highly required before Bank Indonesia formulates the appropriate policies to control the circulation of money. The monthly data of currency inflow and outflow of Bank Indonesia of DKI Jakarta show a significant increase in each year particularly before, during, and after Eid al-Fitr. The determination of Eid al-Fitr does not follow the Gregorian calendar but based on the Islamic calendar. The difference in the use of the Gregorian and Islamic calendars in a time series causes a calendar variation. Thus, the determination of Eid al-Fitr in the Gregorian calendar changes as it goes forward eleven days each year or one month every three years. This study aims to obtain the best model and forecast currency inflows and outflows of Bank Indonesia DKI Jakarta using the ARIMAX and SARIMAX models. The study used in-sample data from January 2009 to December 2018 and out-sample data from January to October 2019. The best model was selected based on the smallest out-sample MAPE value. The result showed that the best forecasting model of inflow was ARIMAX (1,0,1). Meanwhile, the best forecasting model for outflow was SARIMAX (2,0,1)(0,0,1)12.Keywords: ARIMAX, calendar variation, forecasting, SARIMAX","PeriodicalId":112023,"journal":{"name":"Indonesian Journal of Applied Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131171012","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

Pemodelan Determinan Pernikahan Dini di Daerah Pedesaan dengan Pendekatan Regresi Logistik Biner 在农村地区的早期婚姻确定性模型与二元物流回归方法

Indonesian Journal of Applied Statistics Pub Date : 2021-11-29 DOI: 10.13057/ijas.v4i2.46865

Aloysius Bela Boro, Siskarossa Ika Oktora

{"title":"Pemodelan Determinan Pernikahan Dini di Daerah Pedesaan dengan Pendekatan Regresi Logistik Biner","authors":"Aloysius Bela Boro, Siskarossa Ika Oktora","doi":"10.13057/ijas.v4i2.46865","DOIUrl":"https://doi.org/10.13057/ijas.v4i2.46865","url":null,"abstract":"Abstract. The behavior of early marriage in Indonesia is still high and most prevalent in rural areas. In addition to violating the law, a marriage performed before reaching 19 years also has many negative effects. One of them is the death of the mother and the baby. Using data from the Demographic and Health Survey 2017, this study aims to analyze the determinants of early marriages in rural areas in Indonesia. The response variable used is binary categorical data, namely the status of early marriage and not early marriage, so we use a binary logistic regression. The steps performed on this model include estimates of parameters, parameter testing either simultaneously or partially, and a test of the goodness of fit. The results show that the variables of education level, internet access, and wealth index significantly affected early marriage status in rural areas in Indonesia in 2017. Based on the goodness of fit result, this model is proper for modeling early marriage behavior in Indonesia. The study results can be used as a reference for the government in formulating policies to overcome the problem of early marriage in rural areas in Indonesia. Keywords: early marriage, rural area, categorical response variable, binary logistic regression","PeriodicalId":112023,"journal":{"name":"Indonesian Journal of Applied Statistics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699585","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

Model Variasi Kalender pada Regresi Runtun Waktu untuk Peramalan Jumlah Pengunjung Grojogan Sewu 时间损失率的日历变化模型

Indonesian Journal of Applied Statistics Pub Date : 2021-11-29 DOI: 10.13057/ijas.v4i2.47163

E. Zukhronah, Winita Sulandari, I. Slamet, S. Sugiyanto, Irwan Susanto

引用次数: 0

Classification of Tweets for Video Streaming Services’ Content Recommendation on Twitter 面向视频流媒体服务内容推荐的推文分类

Indonesian Journal of Applied Statistics Pub Date : 2021-05-30 DOI: 10.13057/IJAS.V4I1.49051

Kiki Ferawati, S. Z. Jannah

引用次数: 1

Analisis Dampak Covid-19 Terhadap Indeks Harga Konsumen dengan K-Means dan Regresi Berganda 分析Covid-19对消费者价格指数的影响，同时意味着不断的回归

Indonesian Journal of Applied Statistics Pub Date : 2021-05-30 DOI: 10.13057/IJAS.V4I1.46329

Firli Azizah, M. Athoillah

{"title":"Analisis Dampak Covid-19 Terhadap Indeks Harga Konsumen dengan K-Means dan Regresi Berganda","authors":"Firli Azizah, M. Athoillah","doi":"10.13057/IJAS.V4I1.46329","DOIUrl":"https://doi.org/10.13057/IJAS.V4I1.46329","url":null,"abstract":"The Indonesian economy during the global pandemic entered the brink of economic recession. This problem occurs because the state of public consumption has decreased due to the limited space for community movement and sluggish economic activities due to preventing the transmission of Covid-19. This affects the decline in public consumption in economic activities. In this case, it can be seen from the statistical news published by the official website of the Badan Pusat Statistik (BPS) which reports that the inflation rate in the previous months was around 0.10%, while in April 2020 it decreased by 0.08%. Based on these, a K-means grouping study was conducted by dividing the cluster into 3 parts and modeling using multiple regression methods. In this study, the variable used was the price index. The results of the K-means cluster analysis with the division of 3 clusters, namely cluster 3 (high CPI cluster) consisting of 66 cities, cluster 1 (moderate CPI cluster) consisting of 2 cities, and cluster 2 (low CPI cluster) consisting of 22 cities. Furthermore, the multiple regression results obtained 12 variables that have a significant effect on the Consumer Price Index (CPI). The results of regression modeling are the highest coefficient is food at 0.236 and the lowest coefficients are cigarettes and tobacco at 0.008. Therefore can be concluded that the grouping of the CPI indicator obtained 75% of cities with high index prices, especially in big cities such that economic activity, in general, was still consumptive during the pandemic and multiple regression modeling resulted from 37 indicator variables, only 12 indicator variables had a significant effect on the CPI.Keywords: k-means, CPI, multiple regression, and price index","PeriodicalId":112023,"journal":{"name":"Indonesian Journal of Applied Statistics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134317907","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

Peramalan Arus Kas dengan Pendekatan Time Series Menggunakan Support Vector Machine

Indonesian Journal of Applied Statistics Pub Date : 2021-05-30 DOI: 10.13057/IJAS.V4I1.47953

Bella Audina, Mohamat Fatekurohman, Abduh Riski

引用次数: 1