Maida Indrayani
Universitas Pembangunan Panca Budi

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Analysis of User Satisfaction in the Development of ICT Learning Media Using AR-Based Assemblr Edu with the PIECES Framework Method Zulham Sitorus; Ami Abdul Jabar; Maida Indrayani; Sipra Barutu; Meiarni Situkkir
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.56

Abstract

This study analyzes user satisfaction in the development of Augmented Reality (AR) learning media using the Assemblr Edu application. The method employed is the PIECES Framework, which includes the variables of Performance, Information, Economics, Control and Security, Efficiency, and Service. The sample consists of 30 respondents, including 1 teacher and 29 students from class X TKJ 1 at SMKS Panca Budi Medan. Data were collected through a questionnaire utilizing a Likert scale to measure satisfaction levels. The analysis results indicate that the respondents' satisfaction level is VERY SATISFIED. This research is expected to contribute to the development of AR-based learning media in education, enhance understanding of user satisfaction with the Assemblr Edu application, and encourage the use of similar technologies in other educational institutions.
Application of Data Mining on Mobile Phone Sales Data Using the Apriori Algorithm (Case Study: Sentral Phone Store) Maida Indrayani; Muhammad Iqbal
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 2 (2025): June-September 2025
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i2.201

Abstract

Mobile Phone is an electronic device used to communicate, transact digitally and as a medium for exchanging data and information. Mobile Phone is one of the secondary needs that must be owned by the community. In its development, there are various types of mobile phone brands that are sold and the prices offered also vary. The community can buy mobile phones according to their needs and financial capabilities. To see the mobile phone brands that are most in demand by the community, data mining is used using the apriori algorithm to analyze the sales of the most sold mobile phones. So that with the use of the apriori algorithm, it avoids the accumulation of unsold mobile phones.