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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) MEANS (Media Informasi Analisa dan Sistem)
Hutasoit, Rahel Adelina
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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ANALISA PEMILIHAN BARISTA DENGAN MENGGUNAKAN METODE TOPSIS (STUDI KASUS: MO COFFEE) Hutasoit, Rahel Adelina; Solikhun, Solikhun; Wanto, Anjar
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.935

Abstract

Along with the mushrooming of food & beverrage business in Pematangsiantar city, especially in this case is a coffee shop making a barista a bone of contention for business people in the world of food & beverrage business. This makes business people still feel confused and need information to decide to employ a barista that suits their wishes. The purpose of the study was to analyze the TOPSIS method in determining the selection of baristas with 4 alternatives, namely (A1) Alfian, (A2) Widharta, (A3) Sylviana, and (A3) Anisah. And has 6 assessment criteria, namely (C1) the ability to mix coffee, (C2) know coffee and its intricacies, (C3) taste ability, (C4) work experience, (C5) master the use of a set of coffee machine tools and accessories, and (C6) skill in making latte art. The data obtained will be processed using the TOPSIS method. The results of the study obtained (A3) Widharta with the preference weights (0,6126) as the first rank, followed by the second and third ranks (A2) Sylviana with preference weights (0,4980) and (A1) Disagree with preference weights (0.4597) . It is hoped that this research can help or provide input to Mo Coffee owner in choosing baristas to be employed.Keywords: Barista, TOPSIS, Decision Support System, Pematangsiantar, Assessment Factor, Mo Coffee
Menentukan Kepuasan Masyarakat dalam Membuat Surat Izin Mendirikan Bangunan pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu menggunakan Algoritma K-Nearest Neighbor Hutasoit, Rahel Adelina; Suhada, Suhada; Irawan, Eka; Damanik, Irfan Sudahri; Susiani, Susiani
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (846.516 KB) | DOI: 10.54367/means.v5i2.916

Abstract

This research aims to classify the public satisfaction on the creation of building permits in the Office of Investment and integrated service of one door Pematangsiantar. Data is obtained from the results of a community questionnaire from 2019, with a sample of 80 data in society. The attributes used as many as 9, namely terms, procedures, service time, cost/tariff, service products, implementing competence, implementing conduct, infrastructure and handling complaints. The method used in this research is the K-Nearest Neighbor (KNN) algorithm and was processed using the RapidMiner Studio 8.1 software to determine the public satisfaction of the creation of building permits. The data used is divided into two, which are training data used 50 data and data testing used as much as 30 data. With this research is expected to help the Department of Investment and Integrated services one door Pematangsiantar to evaluate the service system provided to the public to meet the expectations of the community in the manufacture of building permits.
Co-Authors Eka Irawan Irfan Sudahri Damanik Solikhun Solikhun, Solikhun Suhada Suhada, Suhada Susiani Susiani, Susiani Wanto, Anjar