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All Journal Journal of Technology Research in Information System and Engineering
Muawwal, Ahyar
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Computer Science & IT

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Desain Prototype Mobile Classes Dengan Menggunakan Model Lean UX Mandey, Jessica Fransisca; Muawwal, Ahyar; Renny, Renny
JTRISTE Vol 11 No 2 (2024): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/jtriste.v11i2.563

Abstract

Classes is a website-based information system application that contains such as student academic information that can be accessed by student anytime and anywhere. With Classes, it is hoped this website can help students find out academic information about each student such as student profile, attendance, teacher profile, list of grades, materials orteaching materials for each subject. Classes has a weakness, that it is still in the form of a website and not yet based on a mobile device or application, so using Classes is still less effective and efficient for users who expect a mobile version of Classes along with the development of technology. By looking at this problem, the author provides a solution by applying the Lean UX method in designing prototype for Classes mobile devices which can then be developed further so as to help users who expect a mobile display. In creating a prototype for the Classes mobile device, the author used supporting editing software, namely Figma, so that the user interface of this mobile device can present information in a friendly, interesting and informative way for Classes users according to aech user’s needs. And with this research, the author hopes that Classes can become the main access medium for all information related to student’s and teacher’s academics, and the appearance of the Classes mobile device will become more attractive in terms of appropriate User Interface (UI) and User Experience (UX) with user needs
PENERAPAN ALGORITMA APRIORI PENGOLAHAN DATA MINING DALAM MENGIDENTIFIKASI PRODUCT BUNDLING RICH PETSHOP Joesran, Aurelia Berliana; Arianti; Muawwal, Ahyar
JTRISTE Vol 12 No 1 (2025): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rich Petshop has not utilized a priori algorithms in data mining to analyze buyer transaction data and optimize sales operations. The aim of this research is to apply an a priori algorithm to identify product bundling combinations and find association patterns that show relationships between products that are often purchased together. The a priori algorithm process includes data transformation, determining minimum support and confidence values, forming association rules, and finding lift ratio values. Sales data for 1 year (June 2023 - May 2024) was processed using Microsoft Excel and Rapidminer. With a minimum support value of 2% and a minimum confidence of 20%, several important association rules are produced. For example, the relationship between "Pasir Chiro Plus" and "Cat choize adult" and "Furlove Pouch 80gr" and "Cou cou pouch 85gr". These association rules provide valuable insights for Rich Petshop to craft innovative product bundling packages, increase customer interest, drive sales growth and strengthen market position.
Co-Authors Arianti Joesran, Aurelia Berliana Mandey, Jessica Fransisca Renny Renny