Rahadatul Aisyi, Friska Anzalni, Yusuf Fajar, D. Suhaedi, Erwin Harahap
{"title":"Mathematical Modeling to Estimate Non-Tax State Revenues","authors":"Rahadatul Aisyi, Friska Anzalni, Yusuf Fajar, D. Suhaedi, Erwin Harahap","doi":"10.46336/ijqrm.v3i2.258","DOIUrl":null,"url":null,"abstract":"Mathematics is the basic foundation for other sciences. Equation is a mathematical model that can describe real-life problems, one of which is estimating non-tax state revenues in the coming year. Non-State Revenue (penerimaan negara bukan pajak, PNBP) is the scope of state finances which is equipped with the State Assets and Auction Service Office (kantor pelayanan keuangan negara dan lelang, KPKNL) which must be reported on the realization of PNBP that will be deposited into the state treasury. Such situation happens because expenditures in each government agency will be available and increase every year by the government. Therefore, direktorat jenderal keuangan negara (DJKN) have to be more optimal in the management of the PNBP. This study aims to determine the results of the best estimates and exponential models in estimating non-tax state income at the KPKNL Bandung, Indonesia, in year of 2017 and 2018. This research includes descriptive research using a qualitative approach. The results show that the calculation using the exponential 4th model is the best model for estimating PNBP such that the estimated PNBP results in 2017 is Rp. 574,775,677 and in 2018 is Rp. 798,022,691.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"94 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Quantitative Research and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46336/ijqrm.v3i2.258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Mathematics is the basic foundation for other sciences. Equation is a mathematical model that can describe real-life problems, one of which is estimating non-tax state revenues in the coming year. Non-State Revenue (penerimaan negara bukan pajak, PNBP) is the scope of state finances which is equipped with the State Assets and Auction Service Office (kantor pelayanan keuangan negara dan lelang, KPKNL) which must be reported on the realization of PNBP that will be deposited into the state treasury. Such situation happens because expenditures in each government agency will be available and increase every year by the government. Therefore, direktorat jenderal keuangan negara (DJKN) have to be more optimal in the management of the PNBP. This study aims to determine the results of the best estimates and exponential models in estimating non-tax state income at the KPKNL Bandung, Indonesia, in year of 2017 and 2018. This research includes descriptive research using a qualitative approach. The results show that the calculation using the exponential 4th model is the best model for estimating PNBP such that the estimated PNBP results in 2017 is Rp. 574,775,677 and in 2018 is Rp. 798,022,691.
数学是其他科学的基础。方程是一种数学模型,可以描述现实生活中的问题,其中之一是估计未来一年的非税国家收入。非国家收入(penerimaan negara bukan pajak, PNBP)是国家财政的范围,配备国有资产和拍卖服务办公室(kantor pelayanan keuangan negara dan lelang, KPKNL),必须在实现PNBP时报告,将存入国库。之所以会出现这种情况,是因为政府各部门的支出每年都会增加。因此,在PNBP的管理中,DJKN局长必须更加优化。本研究旨在确定2017年和2018年印度尼西亚万隆KPKNL估算非税国家收入的最佳估计和指数模型的结果。本研究包括使用定性方法的描述性研究。结果表明,使用指数4模型计算是估计PNBP的最佳模型,2017年的估计PNBP结果为Rp. 574,775,677, 2018年的估计PNBP结果为Rp. 798,022,691。