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ISO/IEC 9126 Quality Model for Evaluation of Student Academic Portal Edy Budiman; Masna Wati; Joan Angelina Widians; Novianti Puspitasari; Muhammad Firdaus; Faza Alameka
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.92 KB) | DOI: 10.11591/eecsi.v5.1670

Abstract

The papers discuss and evaluate the quality of student academic portal using ISO / IEC 9126 quality modeling approach. Quality factors are tested and analyzed are characteristics of Usability, Reliability, Efficiency, and Portability, this evaluation is very important, considering the number of users of the portal system so much and growing. one of the efforts to improve and optimize the performance of the academic information system management team. Evaluate the quality of the user perception approach 10 principles of usability heuristics and internal site performance testing or web server. The results of analysis and testing of 4 quality characteristics have issued several recommendations for improvement and optimization of the performance of student academic portals.
Penerapan Algoritma K-Means Dalam Clustering Produk Terlaris Pada Fr Parfum Heri Yansah; Tina Tri Wulansari; Faza Alameka
Sains, Aplikasi, Komputasi dan Teknologi Informasi Vol 4, No 2 (2022): Sains, Aplikasi, Komputasi dan Teknologi Informasi
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jsakti.v4i2.9075

Abstract

In sales activities, it is important to know which products are selling the best. FR Parfum is a perfume shop that sells quite a lot of perfumes, but the owner does not know which perfumes are the best-selling in his shop. The purpose of this study is to assist shop owners in knowing what perfumes are the best selling at FR Parfum. In this study, the K-Means algorithm with the Clustering method was used, the data were grouped into 3 clusters which were categorized as very in demand, in demand, and less in demand. The data is processed in the RapidMiner application and the results obtained based on the cluster division are cluster 0 which has a size of 30 millimetres, cluster 1 has a size of 7 milli, 10 milli and 12 millimetres, cluster 2 has a size of 20 millimetres. The data used in this study is the sales data of FR Parfum in 2021 as many as 1,655 data in excel format. And the results obtained show that cluster 1 is the highest with a total of 884 of the total sales of 183 7 milliliters, 165 10 milliliters sold and 536 12 milliliters sold. Baccarat perfume was the best selling 88, April Rose perfume was the best-selling sold 58, and the Cuddle perfume was the under-selling one, selling 1. (HY)