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All Journal The Journal of Information Technology, Computer Science, and Electrical Engineering
Ami Abdul Jabar
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.
Designing a QRIS Management Application to Simplify Digital Transactions Using the Prototype Method Ami Abdul Jabar; Darmeli Nasution
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.94

Abstract

In the digital era, financial transactions are increasingly dependent on information technology, particularly through the use of QRIS (Quick Response Code Indonesian Standard) developed by Bank Indonesia. This study aims to design a QRIS management application that facilitates business owners in efficiently managing various QR codes. The prototype method is used to describe the system to be developed, including QRIS data management, dynamic QR code generation, and structured database design. The design results show that this application can address issues related to cluttered displays caused by the use of multiple QRIS stickers, simplify the transaction process for consumers, and enhance the professionalism of merchants. Therefore, this application design is expected to contribute significantly to the efficiency of digital transactions and lay the groundwork for the development of more advanced applications in the future.
Analysis of Property Tax Bill Classification Using the C4.5 Algorithm Andysah Putera Utama Siahaan; Ami Abdul Jabar; Sugeng Pranoto; Sulis Sutiono; Desy Ramatika
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.100

Abstract

This study analyzes the classification of Property Tax (Pajak Bumi dan Bangunan, PBB) bills in Tebing Tinggi City using the C4.5 algorithm to improve tax management efficiency. The secondary data used consists of 56,332 entries related to PBB for the 2022-2023 tax year. Using data mining methods and decision tree modeling, the C4.5 algorithm successfully classified taxpayers based on their total bill amount into five categories of tax books. The analysis results show that the majority of taxpayers are classified into categories with lower bills (Books I and II), while high-bill taxpayers (Book V) represent only a small portion of the data. These findings can help local governments design more efficient tax collection policies and adjust resource allocation. Although the study is limited to a single tax year and a specific region, these results contribute to data mining-based PBB management and can serve as a foundation for further research.
Co-Authors Andysah Putera Utama Siahaan Darmeli Nasution Desy Ramatika Maida Indrayani Meiarni Situkkir Sipra Barutu Sitorus, Zulham Sugeng Pranoto Sulis Sutiono