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Journal : METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi

IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN DENGAN METODE AHP DALAM MENENTUKAN TINGKAT KEPUASAN PELANGGAN (STUDIKASUS: DINAS KOPERASI, USAHA KECIL DAN MENENGAH KABUPATEN DELI SERDANG) Laphita Sari Simanjuntak; , Jijon Raphita Sagala
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 4 No. 1 (2018): Maret 2018
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v4i1.60

Abstract

In order to increase customer satisfaction at Deli Serdang SME Corner, a study was conducted on the level of customer satisfaction in Deli Serdang SME Corner. To find out the extent to which UKM UKM's capabilities provide satisfaction through product, service, financial, shipping and company conditions, marketing research information from the results of marketing research is needed to find out the attitudes and behavior of customers towards what is most influential in making decisions at SME Corner customers Office of Cooperatives, Small and Medium Enterprises in Deli Serdang Regency. This research starts from the stage of analyzing existing systems that are obtained from direct interviews with related parties and observations. While the design method uses the Unified Modeling language (UML) to describe system design. In this case, to calculate the level of customer satisfaction, the AHP (Analytical Hierarchy Process) method is used. Using a decision-making system can provide convenience for Deli Serdang's UKM Corner to determine customer satisfaction in improving the quality to determine the level of customer satisfaction that is applied using PHP and MySQL Database programming .. The system was developed using a software engineering approach, including analysis, design and implementation . At the analysis stage, process analysis, input analysis, output analysis, ongoing system weakness analysis and needs analysis are carried out.
PENERAPAN DATA MINING UNTUK PEMESANAN PEMESANAN PERCETAKAN BAHAN AJAR DENGAN ALGORITMA APRIORI (STUDI KASUS : PERCETAKAN WENDY) Nurmawaty Hutabarat; Jijon Raphita Sagala
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 4 No. 2 (2018): September 2018
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v4i2.66

Abstract

Wendy's printing is one of the printing presses in collaboration with the University of Santo Thomas, especially in the field of computer science, the printing of Wendy is located on the faithful road of UNIKA campus intersection. Print leaders and employees sometimes have difficulty finding out how much teaching material has been printed in one transaction, so that the leader of Wendy's printing press is still manual / speculating in teaching material.The application of data mining for ordering the teaching of teaching materials at the computer science faculty of the university of Saint Thomas is designed to produce this rule can produce rules / rules of association can be seen and analyzed the results, so that the printing leader can see a frequency of teaching materials that often occur in each transaction.Therefore, analysis and testing is carried out, it is hoped that it can provide information about the transaction patterns of teaching materials that often appear. So that it can help the owner in making decisions to order and print teaching materials.