{"title":"用指数平滑法预测日惹省印尼民主指数","authors":"S. N. Huda","doi":"10.1145/3377817.3377844","DOIUrl":null,"url":null,"abstract":"Indonesian government developed a benchmark used to quantify the development of democracy in Indonesia, which is called as the Indonesian Democracy Index (IDI). IDI reflects aspects that include Civil Liberty, Political Rights, and Institution of Democracy. Over the past 10 years, the development of IDI in the Special Region of Yogyakarta has fluctuated. This paper tried to predict the value of IDI in Yogyakarta Province, using IDI of Yogyakarta Province data for the past 10 years available from Indonesian Central Statistics Agency by exponential smoothing method. 9 variations of smoothing parameter a are used in this paper, from a value of 0.1 until 0.9, increased by 0.1. The models are evaluated in terms of robustness using Root Mean Square Error (RMSE) and accuracy using Mean Average Percentage Error (MAPE). The smallest RMSE and MAPE values is obtain from a model with α = 0.9, with RMSE = 4.445859453 and MAPE = 4.11%, while the worst model indicated with the highest RMSE and MAPE values used alpha = 0.1.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Predicting Indonesian Democracy Index in Yogyakarta Province as Time Series Data using Exponential Smoothing\",\"authors\":\"S. N. Huda\",\"doi\":\"10.1145/3377817.3377844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Indonesian government developed a benchmark used to quantify the development of democracy in Indonesia, which is called as the Indonesian Democracy Index (IDI). IDI reflects aspects that include Civil Liberty, Political Rights, and Institution of Democracy. Over the past 10 years, the development of IDI in the Special Region of Yogyakarta has fluctuated. This paper tried to predict the value of IDI in Yogyakarta Province, using IDI of Yogyakarta Province data for the past 10 years available from Indonesian Central Statistics Agency by exponential smoothing method. 9 variations of smoothing parameter a are used in this paper, from a value of 0.1 until 0.9, increased by 0.1. The models are evaluated in terms of robustness using Root Mean Square Error (RMSE) and accuracy using Mean Average Percentage Error (MAPE). The smallest RMSE and MAPE values is obtain from a model with α = 0.9, with RMSE = 4.445859453 and MAPE = 4.11%, while the worst model indicated with the highest RMSE and MAPE values used alpha = 0.1.\",\"PeriodicalId\":343999,\"journal\":{\"name\":\"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3377817.3377844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3377817.3377844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

印尼政府制定了一个用来量化印尼民主发展的基准,被称为印尼民主指数(IDI)。IDI反映的方面包括公民自由、政治权利和民主制度。在过去10年中,日惹特区IDI的发展起伏不定。本文利用印尼中央统计局提供的日惹省近10年的IDI数据,采用指数平滑法对日惹省的IDI值进行了预测。本文使用了9个平滑参数a的变化,从0.1的值到0.9,增加0.1。使用均方根误差(RMSE)评估模型的稳健性,使用平均百分比误差(MAPE)评估模型的准确性。最小的RMSE和MAPE值来自α = 0.9的模型,RMSE = 4.445859453, MAPE = 4.11%,而RMSE和MAPE值最高的最差模型使用α = 0.1。
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Predicting Indonesian Democracy Index in Yogyakarta Province as Time Series Data using Exponential Smoothing
Indonesian government developed a benchmark used to quantify the development of democracy in Indonesia, which is called as the Indonesian Democracy Index (IDI). IDI reflects aspects that include Civil Liberty, Political Rights, and Institution of Democracy. Over the past 10 years, the development of IDI in the Special Region of Yogyakarta has fluctuated. This paper tried to predict the value of IDI in Yogyakarta Province, using IDI of Yogyakarta Province data for the past 10 years available from Indonesian Central Statistics Agency by exponential smoothing method. 9 variations of smoothing parameter a are used in this paper, from a value of 0.1 until 0.9, increased by 0.1. The models are evaluated in terms of robustness using Root Mean Square Error (RMSE) and accuracy using Mean Average Percentage Error (MAPE). The smallest RMSE and MAPE values is obtain from a model with α = 0.9, with RMSE = 4.445859453 and MAPE = 4.11%, while the worst model indicated with the highest RMSE and MAPE values used alpha = 0.1.
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