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All Journal Jurnal INFOTEL Journal of Environment and Sustainability Education
Herman Herman
Universitas Ahmad Dahlan, Indonesia
Chemistry Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Physics Other

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Implementation of association rule using apriori algorithm and frequent pattern growth for inventory control Imam Riadi; Herman Herman; Fitriah Fitriah; Suprihatin Suprihatin; Alwas Muis; Muhajir Yunus
JURNAL INFOTEL Vol 15 No 4 (2023): November 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.980

Abstract

Business success is a business that is able to compete and grow keep abreast of developments in the business world. Especially in the retail sector, where competition is getting tighter. Business owners need to pay attention to the layout of goods and stock management to improve service and meet consumer needs because consumers often have difficulty in finding goods. On the other hand, shortages and excess stock often occur due to lack of goods management. Based on these problems, appropriate techniques are needed for the management of goods supply, one of which is to apply techniques found in the branch of science. Data mining is a technique of association rules. This study aims to find patterns of placement and purchase of goods in generating Association Rule using FP-Growth algorithm. The dataset in this study used data on sales of goods in clothing stores. The results of the study of 140 transactions there are 24 association rules consisting of 7 association rules with 2-itemsets and 17 association rules with 3-itemsets that most often appear in transactions. Based on the order of the highest support value, namely CKJ→STX^LK with a support value of 67%, while the highest confidence value, there are 3 association rules that get the same value, namely STX^CKJ→LK, STX^CAK→LK, STX^RI→LK with a value of 100%. Thus, the rules of association produced by the frequent itemset algorithm, FP-growth, can serve as decision support for the sales of goods in small and medium-sized retail businesses
Multiplatform mobile augmented reality for markerless visualization of urban environmental and green city concepts using 3D trees Mufaddal Al Baqir; Muhammad Kunta Biddinika; Herman Herman
Journal of Environment and Sustainability Education Vol. 4 No. 3 (2026)
Publisher : Education and Development Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62672/joease.v4i3.261

Abstract

This study developed a markerless Augmented Reality (AR) application for visualizing dynamic 3D tree growth to support Green City planning and environmental education. The system simulates the development of five urban tree species based on morphological parameters, including height, trunk diameter, and crown width, using ecological datasets processed through polynomial interpolation. The application was built using Unity AR Foundation and operates on both ARCore and ARKit platforms, achieving stable outdoor visualization with response times of 140–245 ms and ecological simulation errors below 8%. A multiplatform implementation is provided to support smartphones, tablets, and wearable devices. System validation was conducted using black-box testing to evaluate functional correctness, system behavior, and interaction outcomes without examining internal implementation details. The testing process focused on core features such as plane detection, object placement, tree growth visualization, and species selection. The results show that all primary functionalities perform as expected across multiple device types, with stable operation and no critical functional errors identified during testing. The developed application supports urban planners in evaluating canopy expansion, shading effects, and spatial interactions between trees and urban infrastructure, while providing educators with an interactive tool for teaching Green City concepts, urban ecology, and long-term tree growth dynamics. Future work will focus on improving plane detection under low-light conditions, optimizing rendering performance across heterogeneous mobile devices, and incorporating advanced sensing technologies to enhance tracking stability and deployment reliability. Unlike existing AR-based environmental visualization systems that primarily present static 3D objects, the proposed system integrates ecological growth parameters into markerless AR to simulate dynamic tree development and long-term canopy expansion in real-world urban environments.
Co-Authors Alwas Muis Fitriah Imam Riadi Mufaddal Al Baqir Muhajir Yunus Muhammad Kunta Biddinika Suprihatin Suprihatin