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Journal : Smart Techno (Smart Technology, Informatic and Technopreneurship)

Using SVM (Support Vector Machine) Method To Predict Best Seller Book In Amazon Nengah Widya Utami; Joshael Juinor Soplantila
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 3 No. 1 (2021)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.058 KB) | DOI: 10.59356/smart-techno.v3i1.28

Abstract

Amazon is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and the Big Four artificial intelligence along with Google, Apple, and Facebook. Therefore this company must have many and varied sales data. One of them is book sales data. In this study, the author is interested in analyzing best-selling book sales by implementing data mining using the SVM algorithm, where the data is taken at Kaggle.com in the form of a data set.
Implementasi Data Mining Untuk Mengklasifikasikan Produk Pada Sebuah Supermarket Mengunakan Algoritma ID3 Pada Orange Nengah Widya Utami; I Wayan Budi Suryawan
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 3 No. 1 (2021)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.293 KB) | DOI: 10.59356/smart-techno.v3i1.33

Abstract

Technological developments are increasingly increasing or developing very rapidly. The development of technology has also affected the increasing needs of the community, so supermarkets and retailers are competing to provide various types of products or daily needs. However, in every collection or supermarket, it is necessary to know what types of products are needed by customers who will later become targets. To help shops and supermarkets, the authors will conduct an analysis to find out the types of products that customers like by implementing data mining in supermarket classification using the ID3 algorithm
Analisis Dan Perancangan Sistem Point Of Sales (POS) Pada Toko Harco Bali Stefani Yohana Paula Bere; Ni Made Estiyanti; Nengah Widya Utami
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 5 No. 1 (2023)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v5i1.79

Abstract

Toko Harco Bali is a company that sells electronic equipment. In the system that is running at the Toko Harco Bali, it is still done manually such as making notes which often have errors when calculating the total payment, there is no recording of customer data & inventory records that are still written in notebooks and make time less effective, as well as the lack of existing internal control activities so as to make employees take concurrent jobs. Point Of Sales (POS) is a system to process sales transactions of goods. Internal control is one of the systems to guarantee the security of the company. The purpose of this research is to analyze and design the point 0f sales system. In this design, the system can provide convenience and security in the transaction process. The research method used is the system development method, namely the prototyping approach. The stages in the prototyping method are, design or planning and end in the design of a new proposed system. The results of the analysis of SPI components in the form of control environment, risk assessment, information and communication, supervision and control activities and the results of this research design in the form of Database DFD, ERD and interface design