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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Sebatik JURTEKSI JOISIE (Journal Of Information Systems And Informatics Engineering) Indonesian Journal of Electrical Engineering and Computer Science Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Jurnal Komtekinfo Jurnal Teknologi
Dewi Eka Putri
Universitas Putra Indonesia YPTK Padang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences

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Pemanfaatan Teknologi dalam Pengelompokkan Produk pada Minimarket Eka Praja Wiyata Mandala; Dewi Eka Putri
Jurnal Teknologi Vol. 11 No. 2 (2021): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.336 KB) | DOI: 10.35134/jitekin.v11i1.52

Abstract

The retail industry is currently growing rapidly, especially in Indonesia. One form of the retail industry is modern retail which includes supermarkets, minimarkets and others. This study focuses on the grouping of products sold at minimarkets. This research is caused by seeing the phenomenon of the large number of transactions that occur in one day, the result is the number of products sold. This makes it difficult for minimarket managers to determine the next product procurement. Therefore, This study is conducted to group the products sold so that the products that need to be procured are seen next. This study propose a software to perform the grouping using the K-means algorithm. For the data sample, this study obtained sales transaction data for 3 months from the Sastra Mart minimarket. In this study, manual calculations were carried out on 10 samples of beverage data taken randomly from sales transactions which would be divided into 3 clusters. The results of manual calculations, there are 3 drink data entered into the “Sangat Laris” cluster, 2 drink data entered the “Laris” cluster and 5 drink data entered the “Kurang Laris” cluster. The software produced from the research gives the same results as manual calculations in classifying products. This study has also carried out software testing to test all its functionalities, from the test results, everything runs normally and as expected.
Data mining technique for grouping products using clustering based on association Eka Praja Wiyata Mandala; Dewi Eka Putri
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp835-844

Abstract

There is high competition between these minimarkets so many products sold in each minimarket are not sold until they expire. The aim of this study is to help retail managers cluster products in minimarkets. The data obtained will be processed using the hybrid data mining approach by combining two methods in data mining. In the first section, association uses the FP-Growth algorithm, and in the second section, clustering uses the K-means algorithm. From the experimental results, it can be seen that the proposed approach can minimize the number of products to be grouped. After the association process is carried out, from 29 products in 12 transactions, 6 products can be obtained that has a frequency above the minimum support and minimum confidence. After the clustering process, 6 products are grouped into 2 clusters, so that 1 product is included in the most interested product cluster and 5 products are included in the interested product cluster. We minimize data processing so that retail managers can process data directly from sales transaction data on the cashier's computer and can quickly get the results of product grouping.
Augmented Reality dengan Model Generate Target dalam Visualisasi Objek Digital pada Media Pembelajaran Randy Permana; Eka Praja Wiyata Mandala; Dewi Eka Putri; Musli Yanto
Majalah Ilmiah UPI YPTK Vol. 30 (2023) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v30i1.143

Abstract

Augmented Reality (AR) is a digital technology that allows the creation of a combination between the real world and digital content projections to produce additional valuable information for users. This technology has begun to implement in various fields of human life like industry, health, military, entertainment, and education. AR technology will be applied to the education sector in this community service activity. This activity aims to introduce AR technology and a development model based on the Model Generate Target (MGT) to service partners, namely SMA INS Kayu Tanam. The Generate Target model is an AR application development concept by adopting the concept of Digital Twins, where digital content projections will be made similar to real objects. The projected digital content will serve as a descriptive object from the real world, so users can interact more flexibly with objects from the real world. The activity was carried out by providing an introduction to AR technology, installing AR design software, and practicing making simple AR applications using the MGT concept for partner service to the community. In this activity, the designed AR will use spherical objects in the real world and the resulting digital projection is a virus. Projection of digital content onto spherical objects will provide better information and learning experiences in viral object recognition because 3D objects will appear and be attached to real objects. The expected results of this community service activity are introducing AR technology to partners engaged in education and providing a new solution in implementing new digital content-based teaching media that can be applied to several subjects such as biology, chemistry, and glasses to community service partners.
Co-Authors Eka Praja Wiyata Mandala Muhammad Ridwan Musli Yanto Randy Permana Yuhandri Yuhandri, Yuhandri