Proceedings of The International Conference on Data Science and Official Statistics最新文献_第9页

Determine Sample Size for Precision Results on Quick Count 在快速计数上确定精确结果的样本量

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.121

Yusep Ridwan, Rizqon Halal Syah Aji

{"title":"Determine Sample Size for Precision Results on Quick Count","authors":"Yusep Ridwan, Rizqon Halal Syah Aji","doi":"10.34123/icdsos.v2021i1.121","DOIUrl":"https://doi.org/10.34123/icdsos.v2021i1.121","url":null,"abstract":"This research aims to answer the problem of the appropriate sample size in the case of the quick count of the election so that the results obtained are close to the actual results. Although there are practical procedures that are widely used to calculate the sample size in the quick count methodology, in reality, the results obtained often deviate from the actual results, so the issue of precision is always an interesting discussion. The formulation of the problem regarding the size of the sample and how the level of precision of the forecast results are important issue to be discussed. This research method is included in experimental research where the analysis used is the Kruskal-Wallis test. The data used is primary data from the real count results of the regency election Sumedang by consultants and teams. The results showed that there was a significant difference between the seven sample size groups in vote acquisition and the percentage of votes at the polling station (TPS), where the sample sizes n=408, n=500, n=875 and n=1674 were the most appropriate sample sizes in the implementation of the quick count.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115091873","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

Impact of Information and Communication Technology on The Welfare of Population in Eastern Indonesia 信息和通信技术对印度尼西亚东部人口福利的影响

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.224

Dyah Makutaning Dewi, Istu Indah Setyaningsih, A. Romadhon

{"title":"Impact of Information and Communication Technology on The Welfare of Population in Eastern Indonesia","authors":"Dyah Makutaning Dewi, Istu Indah Setyaningsih, A. Romadhon","doi":"10.34123/icdsos.v2021i1.224","DOIUrl":"https://doi.org/10.34123/icdsos.v2021i1.224","url":null,"abstract":"During the Covid-19 pandemic, many countries in the world are expected to experience a slowdown or decrease in Human Development Index (HDI) growth including Indonesia. The disparities in development among regions to be one of the main issues in Indonesia. The gaps are not only occurring in HDI, but also in Information and Communication Technology (ICT) facilities between Western Indonesia and Eastern Indonesia. The purpose of this study is to analyze how Information and Communication Technology affects the Welfare of the Population in Eastern Indonesia. Research methods use multiple linear regression methods. The data is sourced from the BPS-Statistics Indonesia which consists of 17 provinces. The results showed that the percentage of internet users had a positive and significant effect while the percentage of the poor population had a negative and significant effect on the welfare of the population in eastern Indonesia. Therefore, the distribution of infrastructure, especially ICT infrastructure, does not only focus on western Indonesia. Therefore, it is expected that the population welfare gap will be reduced. The increasing use of the internet during the Covid-19 pandemic can be used as an opportunity to be used as a bridge for the distribution of information, communication, and digital-based economic development in order to achieve equitable welfare, especially in eastern Indonesia.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123301835","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

Spatial Panel Data Approach on Environmental Quality in Indonesia 印度尼西亚环境质量的空间面板数据方法

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.135

Debita Tejo Saputri, Anugrah Alief Pratama

{"title":"Spatial Panel Data Approach on Environmental Quality in Indonesia","authors":"Debita Tejo Saputri, Anugrah Alief Pratama","doi":"10.34123/icdsos.v2021i1.135","DOIUrl":"https://doi.org/10.34123/icdsos.v2021i1.135","url":null,"abstract":"Indonesia adopted a strategic long-term development plan (2005-2025) targeting to achieve a green and everlasting Indonesia through implementing various environmental policies. One of the mandatory matters for governments is to continue environmental control by constructing Environmental Quality Indexes (EQI). This study focuses on the relationship between regional output or real Regional GDP, level of population density, and the government expenditure on environment quality on EQI in 34 provinces in Indonesia by the time period 2015 to 2019 using a spatial panel data approach. Within the context of spatial modeling, the interaction between provinces depends on their geographical location and condition. Using the geographic information system (GIS) and stata attributes, the coordinates and distances can be mapped and then defined for observation units in space via the spatial weight matrix used. From the perspective of spatial geography, this paper verifies the spatial dependence of Indonesia’s Environmental Quality Index (EQI). Pesaran's CD test indicates the spatial effect on the model and SAR with random effect can be considered a better-fitting spatial panel regression model. The results of the econometric spatial panel using SAR panel with random effect analysis show that Indonesia’s EQI in the provinces was dependent on the spatial. It was also found that regional GDP has a significant and negative effect on EQI and population density has a negative and significant effect on EQI. While fiscal policy on the environmental area on improving environmental quality did not pass a significance test. Thus, it is recommended to look for ways to promote green growth in the country.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129405843","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

Spatial-Temporal Analysis of Deforestation in Sumatera Island 2011-2019 2011-2019年苏门答腊岛森林砍伐时空分析

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.202

Andrian Dwi Putra, S. I. Oktora

引用次数: 0

Return to Education Estimation on Self-Employment Entrepreneurs and Their Comparison with Workers in Indonesia 印尼个体创业企业家的教育回归评估及其与工人的比较

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.183

Dwi Wahyudi, Muhammad Hanri

引用次数: 0

Determinants of Unmet Need Family Planning Among Married Woman of Reproductive Age in North Sumatra (Susenas March 2019) 北苏门答腊岛已婚育龄妇女计划生育需求未满足的决定因素(Susenas 2019年3月)

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.241

Aprillia Anis Saputri, R. Rahani

{"title":"Determinants of Unmet Need Family Planning Among Married Woman of Reproductive Age in North Sumatra (Susenas March 2019)","authors":"Aprillia Anis Saputri, R. Rahani","doi":"10.34123/icdsos.v2021i1.241","DOIUrl":"https://doi.org/10.34123/icdsos.v2021i1.241","url":null,"abstract":"Unmet need is one of the obstacles of the family planning programs that can reduce contraceptive prevalence. The percentage of total unmet need in North Sumatra Province is 12.1 and comparable to the total national unmet need in 2019. This study aims to determine the factors that influence family planning needs and the tendency of married women of reproductive age in North Sumatra Province in 2019 with multinomial logistic regression. The data used is sourced from the Susenas KOR 2019. Results show that married women of reproductive age having a greater tendency to experience the unmet need for limiting are characterize as 35-49 years old, living in urban areas, and with junior high/equivalent levels. Meanwhile, the characteristics of married women of reproductive age (WUS) who have a greater tendency to experience the unmet need for spacing such as aged 15-24 years, Age at First Marriage more than 18 years, and with a higher education level. Therefore, a more optimal commitment and support from family planning field workers in family planning counselling are needed and increase equitable access and quality of family planning services.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129937158","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 Effect of Human Capital Inequality on Income Inequality: Evidence from Indonesia 人力资本不平等对收入不平等的影响:来自印度尼西亚的证据

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.63

Hafizh Meyzar Aqil, Dwi Wahyuniati

{"title":"The Effect of Human Capital Inequality on Income Inequality: Evidence from Indonesia","authors":"Hafizh Meyzar Aqil, Dwi Wahyuniati","doi":"10.34123/icdsos.v2021i1.63","DOIUrl":"https://doi.org/10.34123/icdsos.v2021i1.63","url":null,"abstract":"Education inequality in Indonesia tends to experience a downward trend which indicates that the education distribution is more equally distributed from year to year. this phenomenon should lead to a reduction in income inequality. However, income inequality in Indonesia has increased compared to 9 years ago. This study intends to look at the human capital inequality condition in provinces in Indonesia and analyze the effect of human capital inequality on income inequality. The Gini coefficient concept is used to measure human capital inequality and income inequality. The annual panel data covered 34 provinces in Indonesia from 2015 – 2019. The analytical methods used dynamic panel data regression using the Generalized Method of Moment (GMM) Arellano-Bond approach. The results indicate income inequality with a lag of 1 year, literacy rate, and trade openness have a negative and significant effect on income inequality. Furthermore, the human capital inequality and the average years of schooling have a positive and significant effect on income inequality. So, to reduce income inequality, policymakers are advised to minimize human capital inequality, especially in the education sector by paying attention to conditions in priority provinces.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126837446","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

Optimization of Waste Transportation Routes using Multi-objective Non-dominated Sorting Genetic Algorithm II (MNSGA-II) in the Eastern and Southern Regions of Bandung City, Indonesia 基于多目标非主导排序遗传算法II (MNSGA-II)的印尼万隆市东部和南部地区垃圾运输路线优化

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.27

Natasya Afira, A. Wijayanto

{"title":"Optimization of Waste Transportation Routes using Multi-objective Non-dominated Sorting Genetic Algorithm II (MNSGA-II) in the Eastern and Southern Regions of Bandung City, Indonesia","authors":"Natasya Afira, A. Wijayanto","doi":"10.34123/icdsos.v2021i1.27","DOIUrl":"https://doi.org/10.34123/icdsos.v2021i1.27","url":null,"abstract":"Ensuring high-quality and effective urban waste management has been an important priority to achieve sustainable and environmental-friendly cities and communities mandated by Sustainable Development Goals (SDGs). The massively growing population in urban regions of developing countries, such as Bandung City, Indonesia, leads to the increasing volume of daily goods consumption and households waste production. The waste transportation route is one of the main determining factors for the cost of waste management. In this paper, we introduce the Multi-objective Non-dominated Sorting Genetic Algorithm II (MNSGA-II) to solve the waste transportation route optimization problem in the Eastern and Southern Regions of Bandung City, Indonesia. Compared to the existing traditional evolutionary algorithms, MNSGA-II offers three major important benefits: efficient computational complexity, no requirement of sharing parameters, and a non-elitism mechanism. Algorithm parameters include the number of generations, mutation rate, and crossover rate. Our extensive experiments suggest the best solution resulted in 14 routes with a total distance of 152,63 km. Further, our proposed route optimization is potentially beneficial to support the improvement of the sustainable waste management service system at Bandung City.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126207223","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 Spatial Empirical Best Linear Unbiased Prediction (SEBLUP) of Open Unemployment Rate on Sub-District Level Estimation in Banten Province 开放失业率空间经验最优线性无偏预测(SEBLUP)在万丹省街道水平估计中的应用

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.205

Apriliansyah Apriliansyah, I. Wulansari

{"title":"Application of Spatial Empirical Best Linear Unbiased Prediction (SEBLUP) of Open Unemployment Rate on Sub-District Level Estimation in Banten Province","authors":"Apriliansyah Apriliansyah, I. Wulansari","doi":"10.34123/icdsos.v2021i1.205","DOIUrl":"https://doi.org/10.34123/icdsos.v2021i1.205","url":null,"abstract":"The open unemployement rate is an indicator for measuring unemployment. Banten Province recorded as the highest on open unemployment rate number in Indonesia on 2018. A high open unemployment rates indicate serious problems in society. This problem must be resolved synergistically from the national level to the level of small areas such as sub-districts. However, data for the small area level has not been fulfilled due to the insufficient number of samples. We apply spatial EBLUP to estimate the open unemployment rates in the districs of Banten. Such a method of small area estimation is essential because some districts have small labor forces and direct estimation for them is not reliable. SEBLUP takes advantage of the correlation of the neighboring districts. Data that used for direct estimation is from National Labor Survey (Sakernas) and Village Potential (Podes) 2018. This research showed that SEBLUP model can increased the precision from direct estimation method or EBLUP. There are two districts that have highest category of open unemployment rate which are Curugbitung, and Koroncong","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131237924","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

Personalized Route Recommendation Method for Field Survey Officers using Social Media Information and Administrative Border Maps 基于社交媒体信息和行政边界地图的野外调查人员个性化路线推荐方法

Proceedings of The International Conference on Data Science and Official Statistics Pub Date : 2022-01-04 DOI: 10.34123/icdsos.v2021i1.130

E. Hardiyanto

{"title":"Personalized Route Recommendation Method for Field Survey Officers using Social Media Information and Administrative Border Maps","authors":"E. Hardiyanto","doi":"10.34123/icdsos.v2021i1.130","DOIUrl":"https://doi.org/10.34123/icdsos.v2021i1.130","url":null,"abstract":"Changes in business processes in pandemic conditions are a must. The field survey were most affected, not only the interview process but also the route selection to survey location. To support the field survey officer, it is necessary to provide alternative route choices to the survey location as fast as possible. This research proposed a methodology that combines three information source, administrative border maps, google maps services, and information from social media that elaborated to provide best recommendation route to the assigned survey location. The combination of three different sources can enhance the current existing route that only relies on google map services. Our mechanism was tested on custom my maps application provided by Google and evaluated using system usability scale. This research aims to give the personalized route to field survey officers based on the assigned survey location and information from social media. The limitation of this research is that the social media channels used are still few, in the future, this research can be leveraged by integrating other platforms owned by the government and other public services to enrich the information.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115887945","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