S. Sukmawati, Rifky Maulana, Ranti Holiyanti, Betha Nurina Sari
{"title":"Implementasi Metode Dempster Shafer Berbasis Web untuk Mendiagnosa Kerusakan Jaringan LAN","authors":"S. Sukmawati, Rifky Maulana, Ranti Holiyanti, Betha Nurina Sari","doi":"10.30998/string.v7i1.13548","DOIUrl":null,"url":null,"abstract":"dengan menampilkan jenis gangguan beserta solusinya berdasarkan gejala gangguan yang dialami. Kesimpulan penelitian ini adalah bahwa sistem pakar dengan menggunakan metode Dempster Shafer untuk menangani ketidakpastian data saat diagnosis gangguan layanan jaringan LAN sangat membantu dalam mengatasi masalah kualitas pelayanan yang menurun. Abstract Local Area Network (LAN) is a type of computer network that covers a local area and is widely used in various aspects. In places that provide LAN connections there are those using Wi-Fi technology which are usually called hotspots. Damage to the LAN, especially Wi-fi itself, is often experienced by the community. It is also inconvenient for internet network users due to lack of knowledge about the damage. Therefore, it is necessary to create a system that can be used to collect knowledge data from network experts and store it. The result of this research is an expert system that diagnoses LAN network damage. The system automatically provides diagnostic results by displaying the type of glitch and its solution based on the symptoms of the glitches experienced. The conclusion of this study is that an expert system by using the Dempster Shafer method to handle data uncertainty when diagnosing LAN service disruptions is very helpful in overcoming the problem of declining service quality.","PeriodicalId":177991,"journal":{"name":"STRING (Satuan Tulisan Riset dan Inovasi Teknologi)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"STRING (Satuan Tulisan Riset dan Inovasi Teknologi)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30998/string.v7i1.13548","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
dengan menampilkan jenis gangguan beserta solusinya berdasarkan gejala gangguan yang dialami. Kesimpulan penelitian ini adalah bahwa sistem pakar dengan menggunakan metode Dempster Shafer untuk menangani ketidakpastian data saat diagnosis gangguan layanan jaringan LAN sangat membantu dalam mengatasi masalah kualitas pelayanan yang menurun. Abstract Local Area Network (LAN) is a type of computer network that covers a local area and is widely used in various aspects. In places that provide LAN connections there are those using Wi-Fi technology which are usually called hotspots. Damage to the LAN, especially Wi-fi itself, is often experienced by the community. It is also inconvenient for internet network users due to lack of knowledge about the damage. Therefore, it is necessary to create a system that can be used to collect knowledge data from network experts and store it. The result of this research is an expert system that diagnoses LAN network damage. The system automatically provides diagnostic results by displaying the type of glitch and its solution based on the symptoms of the glitches experienced. The conclusion of this study is that an expert system by using the Dempster Shafer method to handle data uncertainty when diagnosing LAN service disruptions is very helpful in overcoming the problem of declining service quality.
登干menampilkan jenis gangguan beserta solusinya berdasarkan gejala gangguan Yang dialami。kespulpan penelitian ini adalah bahwa系统pakar dengan menggunakan方法Dempster Shafer untuk menangani ketidakakan数据,诊断gangguan layanan jaringan和LAN sangat membantu dalam mengatasi masalah kualitas pelayanan yang menurun。局域网(LAN)是一种覆盖局部区域的计算机网络,广泛应用于各个方面。在提供局域网连接的地方,有一些使用Wi-Fi技术的地方,通常被称为热点。局域网的损坏,尤其是Wi-fi本身,是社区经常遇到的问题。由于缺乏对损害的了解,这也给互联网用户带来了不便。因此,有必要创建一个可以用来收集网络专家的知识数据并存储的系统。本文的研究成果是一个局域网网络故障诊断专家系统。系统根据所遇到的故障的症状,自动显示故障类型及其解决方案,从而提供诊断结果。本研究的结论是,在诊断局域网服务中断时,利用Dempster Shafer方法处理数据不确定性的专家系统对克服服务质量下降的问题非常有帮助。