Jurnal KomtekInfo http://lppm.upiyptk.ac.id/ojsupi/index.php/KOMTEKINFO <p><img src="/ojsupi/public/site/images/fitrulhadi/KOMTEKINFO.jpg" width="250" height="354"><br><strong>E-mail : <a href="https://mail.google.com/mail/u/2/#inbox/FMfcgxwBWKSGBBGJMJXskxvRWsnGjfDt?compose=new">komtekinfo@upiyptk.ac.id</a> / <a href="https://mail.google.com/mail/u/2/#inbox/FMfcgxwBWKSGBBGJMJXskxvRWsnGjfDt?compose=new">komtekinfoupiyptkpdg@gmail.com</a></strong><br><br><strong><span data-preserver-spaces="true">Jurnal KomtekInfo</span></strong><span data-preserver-spaces="true">&nbsp;</span>is a national journal, which is dedicated to the publication of quality research results in the field of Systems Engineering and Information Technology but is implicitly unlimited and free of cost in the Submission Process.&nbsp;<strong><span data-preserver-spaces="true">Jurnal KomtekInfo</span></strong><span data-preserver-spaces="true">&nbsp;is a peer-reviewed and accessible open journalism managed by LPPM Universitas Putra Indonesia&nbsp; YPTK Padang. Jurnal KomtekInfo includes articles raised from the results of research, concepts, theories, and analytical studies in the fields of computer science and information technology. Starting in 2016 Journal KomtekInfo broadcasts six months, namely June and December in an online form with e-ISSN <a href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&amp;1451980037&amp;1&amp;&amp;" target="_blank" rel="noopener">2502-8758</a>, after previously in the form of quarterly prints with p-ISSN <a href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&amp;1401864705&amp;1&amp;&amp;" target="_blank" rel="noopener">2356-0010</a>.&nbsp; Jurnal&nbsp;</span>KomtekInfo has been accredited with Number : <strong>SK 10/E/KPT/2019 with </strong><strong>DOI :&nbsp;<a href="http://lppm.upiyptk.ac.id/ojsupi/index.php/KOMTEKINFO">https://doi.org/10.35134</a></strong>&nbsp;.&nbsp;</p> <p>Journal KomtekInfo publishes journals focusing on Software Engineering, Multimedia, Artificial intelligence,&nbsp;Data Mining, Knowledge Database System,&nbsp;Computer network,&nbsp;Information Systems,&nbsp;Robotic,&nbsp;Cloud Computing,&nbsp;Computer Technology</p> <p>Garuda Statisic&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Sinta Citation Statistic</p> <p><a href="http://garuda.ristekdikti.go.id/journal/view/14253" target="_blank" rel="noopener"><img src="/ojsupi/public/site/images/fitrulhadi/Garuda2.png" width="122" height="161"></a>&nbsp;<a href="http://sinta2.ristekdikti.go.id/journals/detail?id=4173" target="_blank" rel="noopener"><img src="/ojsupi/public/site/images/fitrulhadi/sinta_citation_statistics.png"><br></a><a href="http://sinta2.ristekdikti.go.id/journals?q=komtekinfo&amp;search=1&amp;sinta=5&amp;pub=&amp;city=&amp;pubid=&amp;area=&amp;sort=impact" target="_blank" rel="noopener">SINTA IMPACT FACTOR = 0.32 || H-INDEX = 4 ( 2019 )</a></p> en-US komtekinfoupiyptkpdg@gmail.com (Aulia Fitrul Hadi) fitrulhadi@gmail.com (Editor Team) Wed, 08 Apr 2020 06:03:14 SE Asia Daylight Time OJS 3.1.0.1 http://blogs.law.harvard.edu/tech/rss 60 The Multi Attribute Utility Theory (MAUT) Method In The Decision Of The Distributor Distributor Selection http://lppm.upiyptk.ac.id/ojsupi/index.php/KOMTEKINFO/article/view/1346 <p>Distributors are intermediaries who distribute products from factories to retailers. While the distributor of goods is the distributor of goods from factories to shops that need these goods. Incorrect selection of distributors can interfere with the sales process at the store. To improve the quality and quality of a store, it requires the best distributor of goods. This study aims to determine the best distributor of goods. The method used is the Multi Attribute Utility Theory (MAUT) of distributor data at the Padang Luar Sundanese Convenience Store. The data processed in this study consisted of a number of distributor data selected by the Multipurpose Store. From some of the distributor data, the Decision Support System is very necessary in the selection of distributors who aim for the selection of appropriate alternative decisions. The selection of distributors uses 15 samples of distributor data and 5 criteria data that are used as the basis for selecting distributors, namely quality of goods, affordable prices, strategic locations, service responses, and giving bonuses. The results of testing on this method obtained an accuracy rate of 86.67% of the right distributors and in accordance with the realization of the UI data. So this research is very suitable in choosing the best distributor. From the test results, it has got the 5 best distributors by assigning a weight of 11.50 to the best distributor, so the criteria set by the All-Round Shop can be used as a reference in the selection of distributors of goods.</p> Ritna Wahyuni, Sarjon Defit, Gunadi Widi Nurcahyo ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 http://lppm.upiyptk.ac.id/ojsupi/index.php/KOMTEKINFO/article/view/1346 Wed, 08 Apr 2020 00:00:00 SE Asia Daylight Time