Erina S. Dewi, Latifah Asmaul Fauzia
{"title":"Minimization of time distribution of ballots with Greedy algorithms in Jombang Regency","authors":"Erina S. Dewi, Latifah Asmaul Fauzia","doi":"10.21580/jnsmr.2021.7.1.3687","DOIUrl":null,"url":null,"abstract":"Travelling Salesman Problem is a problem faced by salesmen in distributing goods by passing all points exactly once. This problem is often encountered in life, not least in the distribution of election ballots from the Komisi Pemilihan Umum Daerah (KPUD) Jombang office to the sub-district office in Jombang Regency. Proper route determination can help to minimize the travelling time between places so that the risk of delaying ballot distribution can be avoided. In determining the solution of Traveling Salesman Problem, a Hamiltonian cycle is required. The Hamiltonian cycle is a closed trail that passes every point exactly one time. The Hamilton cycle can be formed by the Greedy Algorithm. The Greedy Algorithm can quickly determine the next point based on the smallest weight in the form of distance between points. From the problem of ballot distribution in Jombang, the starting point of the route is the office of Komisi Pemilihan Umum Daerah (KPUD) Jombang then through 21 sub-district offices and back to the Komisi Pemilihan Umum Daerah (KPUD) office Jombang. Based on the searching for solutions to minimize the distribution time of ballots in Jombang Regency with Greedy Algorithm, the total distance to pass all existing sub-district offices is 253.1 km with a travel time of 427 minutes or 7 hours 7 minutes.©2021 JNSMR UIN Walisongo. All rights reserved.","PeriodicalId":191192,"journal":{"name":"Journal of Natural Sciences and Mathematics Research","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Natural Sciences and Mathematics Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21580/jnsmr.2021.7.1.3687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
贪心算法在钟邦选区选票时间分布的最小化
旅行推销员问题(traveling Salesman Problem)是销售人员在配送货物时所面临的一个问题。这一问题在生活中经常遇到,尤其是在将选举选票从人民民主委员会钟邦办事处分发到钟邦县的街道办事处时。正确确定路线有助于尽量减少两地之间的旅行时间,从而避免延迟分发选票的风险。在确定旅行商问题的解时,需要一个哈密顿循环。哈密顿循环是一条经过每一点一次的闭合轨迹。Hamilton循环可以通过贪心算法形成。贪心算法以点间距离的形式,以最小权值为基础,快速确定下一个点。从仲邦的选票分配问题出发,路线的起点是仲邦市人民选举委员会(KPUD)办事处,然后经过21个街道办事处,回到仲邦市人民选举委员会的办事处。利用贪心算法寻找钟邦县选票分配时间最短的解决方案,通过现有所有街道办事处的总距离为253.1公里,行程时间为427分钟或7小时7分钟。©2021 JNSMR UIN Walisongo。版权所有。
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