scholarly journals Purwarupa Aplikasi Peramalan Kebutuhan Persediaan Barang Dagang Berbasis Website dengan Semi Average Method

2021 ◽  
Vol 3 (2) ◽  
pp. 71-78
Author(s):  
I Gusti Ayu Desi Saryanti ◽  
Rosalia Hadi ◽  
I Gusti Ngurah Ady Kusuma
Keyword(s):  
Average Method ◽  
The Internet ◽  
Point Of Sale ◽  
Testing Method ◽  
Forecasting Methods ◽  
Transaction Activities

The Point of Sale application has now begun to be used by many trading entrepreneurs. Of course, this is because Point of Sale (POS) can record all trade transaction activities, such as recording sales and recording purchases of inventory items. However, the majority of POS applications are only limited to recording transactions and do not yet have the ability to assist traders in determining the need for merchandise. This study discusses how to build an application that can help traders predict the need for merchandise with one of the forecasting methods, namely the Semi Average Method. The application in this study was built with the waterfall method and is based on a website and utilizes sales reports from the POS application that has been used. Based on the website, users don't have to bother installing this application because it can be accessed via a browser and anytime as long as it is connected to the internet. Testing the application in this study using the Blackbox Testing method shows that this application has 100% functionality working. It is hoped that the application from this research can later be used side by side with the existing POS application so there is no need to make changes to the POS application that is already in use.

scholarly journals Technology Adoption and Consumer Payments: Evidence from Survey Data

2003 ◽  
Vol 2 (2) ◽  
Author(s):  
Fumiko Hayashi ◽  
Elizabeth Klee
Keyword(s):  
Technology Adoption ◽  
Survey Data ◽  
New Technologies ◽  
New Technology ◽  
The Internet ◽  
Electronic Payment ◽  
Point Of Sale ◽  
Goods And Services ◽  
Transaction Value ◽  
Debit Cards

Consumers pay for hundreds of goods and services each year, but across households and across goods, consumers do not choose to pay the same way. This paper posits that payment choices depend in part on consumers' propensity to adopt new technologies and in part on the nature of the transaction. To test this hypothesis, this paper analyzes consumer's payment instrument use at the point of sale and for bill payment. The sample includes consumers surveyed in 2001, who are primarily users of the Internet. The results indicate that consumers who use new technology or computers are more likely to use electronic forms of payment, such as debit cards and electronic bill payments. Particularly, the use of direct deposit is a significant predictor of electronic payment use. Furthermore, the results indicate that payment choice depends on the characteristics of the transaction, such as the transaction value, the physical characteristics of the point of sale, and a bill's frequency and value variability.

scholarly journals Implementasi E-Commerce Berbasis Web pada Toko Denia Donuts Menggunakan Metode Prototype

2020 ◽  
Vol 6 (2) ◽  
pp. 66-77
Author(s):  
Fenando Fenando
Keyword(s):  
Product Information ◽  
System Development ◽  
Black Box ◽  
The Internet ◽  
User Requirements ◽  
Business People ◽  
Testing Method ◽  
Requirements Specifications ◽  
Black Box Testing ◽  
Stock Information

The development of the internet and the implementation of technology that makes it easier for users to increasingly influence the business sector. Business people are starting to take advantage of the internet and technology to run their business or so-called E-Commerce. Denia Donuts Shop is an online shop that sells donuts in South Sumatera. The problems that occur, even though this store has marketed its products online, shop owners still use social media only in the process of transactions with consumers. This becomes very difficult when consumers want to make a purchase, consumers must send messages according to the format determined by the shop's owner, this method is made very difficult for consumers every time they make a purchase. On the other hand, the shop owner also finds it difficult to find product information, stock information, find out which consumers have bought during a certain period, and sales reports that are still recorded in a book. This article aims to build E-Commerce at Denia Donuts Shop that can help in marketing products widely and facilitate the process of transactions carried out by consumers. The system development method used is the prototype method. This research has resulted in an E-Commerce system that has been tested using the black box testing method and has been implemented in accordance with user requirements specifications.

scholarly journals PERBANDINGAN PERAMALAN PENJUALAN PRODUK AKNIL PT.SUNTHI SEPURIMENGGUANAKAN METODE SINGLE MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTING

2020 ◽  
Vol 2 (1) ◽  
pp. 15-22
Author(s):  
Nurul Hudaningsih ◽  
Silvia Firda Utami ◽  
Wari Ammar Abdul Jabbar
Keyword(s):  
Average Method ◽  
Moving Average ◽  
Demand Forecasting ◽  
Exponential Smoothing ◽  
Small Error ◽  
Employee Productivity ◽  
Smoothing Methods ◽  
Forecasting Methods ◽  
Product Sales ◽  
Single Exponential

Forecasting in the company is forecasting product sales to consumers. By knowing product sales can assist the company to provide materials to be produced and determine the production process itself. PT. Sunthi Sepuri is a pharmaceutical company. PT. Sunthi Sepuri often experiences marketing forecasting errors. This causes uncertainty in the amount of production so that it can cause employee productivity to decrease due to the increasing amount of production at any time. In this study demand forecasting will be held at PT. Sunthi Sepuri. This research apply the Single Moving Average and Single Exponential Smoothing methods, with the sample to be used is Aknil product, this product is a pain-relieving drug. Use the two methods to compare the most accurate forecasting methods and close to the actual value. The research methods start from gathering historical data, determining forecasting methods, forecasting calculations, determining the best method, and withdrawing conclusions. Based on the test results that the method that can be used to analyze data that has a small error rate is the Single Moving Average method. Forecasting results for July 2019 with the Single Exponential Smoothing method using ?: 0.8 are 408,488 caplets. As for July 2019, the Single Moving Average method is 466

scholarly journals Preference towards HIV Self-Testing above Other Testing Options in a Sample of Men Who Have Sex with Men from Five European Countries

2021 ◽  
Vol 18 (9) ◽  
pp. 4804
Author(s):  
Juan Hoyos ◽  
Tomás Maté ◽  
Juan-Miguel Guerras ◽  
Marta Donat ◽  
Cristina Agustí ◽  
...  
Keyword(s):  
Primary Care ◽  
Sexual Behaviors ◽  
Poisson Regression ◽  
Older Age ◽  
The Internet ◽  
Factors Associated ◽  
Testing Method ◽  
Self Testing ◽  
Sex With Men ◽  
Hiv Negative

We analyzed men who have sex with men (MSM) from Denmark, Germany, Greece, Portugal and Spain to identify who would choose HIV self-testing as their preferred testing method and assessed their preferred setting to acquire a self-testing kit and to confirm a reactive result. In 2016, we recruited an online sample of 3725 HIV-negative MSM. We used Poisson regression to identify factors associated with choosing self-testing as the preferred testing option. For those choosing it as their preferred option, we assessed the preferred settings to acquire a self-testing kit and to confirm a reactive result. Not being open about one’s sexual behaviors with men was associated with choosing self-testing as the preferred option, except in Greece; older age in Greece and Spain; reporting condomless anal intercourses (CAI) in Germany and Portugal; reporting one previous test in Greece; between 2 and 5 in Spain and with having been tested ≥ 12 months ago in Germany, Portugal and Spain. The internet (32.8%) was the preferred place to acquire a self-testing kit and primary care (34.0%) for confirmation purposes. Self-testing was highly valued, especially among individuals who were not open about their sexual behaviors with men. In certain countries, it was also associated with older age, CAI and being undertested.

Stripe: Helping Money Move on the Internet

2017 ◽  
pp. 1-12
Author(s):  
Sarit Markovich ◽  
Nilima Achwal ◽  
Eric Queathem
Keyword(s):  
The Internet ◽  
Fixed Costs ◽  
Indian Market ◽  
Potential Response ◽  
Point Of Sale ◽  
Value Net ◽  
Net Framework ◽  
High Processing ◽  
The Web

This case features Stripe, a startup that enables merchants to accept payments from customers on the web, on mobile devices, and at the point of sale (POS). Stripe was launched in 2011 by the Collison brothers and quickly gained traction with e-commerce startups, particularly software and platform developers who needed help building their payment processing infrastructures. Stripe incurred high fixed costs in developing its platform and had low margins per transaction, so the company needed to reach high processing volumes (i.e., scale) to survive. This was challenging, as Stripe competed with large payment processors and traditional banks that had high processing volumes and were able to offer merchants significantly lower rates than Stripe. Still, merchants valued Stripe#x0027;s solution because it was simple and versatile. Students assume the role of the Collisons to think about possible strategies Stripe could pursue to process higher volumes of transactions. Students are challenged to think about the potential response of the incumbents to Stripe's different growth alternatives. The teaching note presents the Value Net framework and discusses the importance of considering complementors and their effect on a firm's strategy. Finally, a discussion about Stripe's potential entry into the Indian market allows students to apply the concepts they learned in the discussion of a new market.

Modeling the Social Structure of Online Discussion Groups: Implications for Controlling Viral Marketing

2007 ◽  
Vol 22 (3) ◽  
pp. 27-41
Author(s):  
Alexandre Steyer ◽  
Renaud Garcia-Bardidia ◽  
Pascale Quester
Keyword(s):  
Social Structure ◽  
Information Dissemination ◽  
Online Discussion ◽  
Viral Marketing ◽  
Discussion Groups ◽  
The Internet ◽  
Scale Free ◽  
Forecasting Methods ◽  
The Social ◽  
Scale Free Networks

This research examines the process by which information diffuses within newsgroups on the Internet. Our results empirically demonstrate that these newsgroups are scale-free networks where the potential for information dissemination is important, albeit somewhat unpredictable. This leads us to reconsider the econometric foundations of forecasting methods typically used by marketers.

scholarly journals WEB APP PENDETEKSI JENIS SERANGAN JARINGAN KOMPUTER DENGAN MEMANFAATKAN SNORT DAN LOG HONEYPOT

CCIT Journal ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 85-96
Author(s):  
Asmah Akhriana ◽  
Andi Irmayana
Keyword(s):  
Detection System ◽  
Functional System ◽  
Black Box ◽  
The Internet ◽  
Current Development ◽  
Web Based ◽  
Testing Method ◽  
Black Box Testing ◽  
Web App ◽  
The Web

Along with the current development of Information Technology is always changing to make the security of an information is very important, especially on a network connected to the internet. But what is unfortunate is that the imbalance between each development of a technology is not accompanied by developments in the security system itself, so that there are quite a lot of systems that are still weak and have to be increased by the security wall. This study aims to design a Web-based App interface to facilitate users or administrators in securing network computers from various types of attacks. The Instrusion detection system (IDS) method is used to detect suspicious activity in a system or network using snort and honeypot. Honeypot is built on a computer along with Apache, MySQL, and Snort. Honeypot will act as a target to attract attackers and log information from the attacker and snort to apply the rules made from the web. The functional system will then be tested using the black box testing method. The results of this study concluded that Web App-based interfaces that are created can be used to help users and administrators in maintaining data and information on server computers from various types of attacks on computer networks

scholarly journals Application of Automation and Manufacture techniques oriented to a service-based business using the Internet of Things (IoT) and Industry 4.0 concepts. Case study: Smart Hospital

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Camilo Andrés Cáceres Flórez ◽  
João Mauricio Rosário ◽  
Dario Amaya Hurtado
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Computational Simulation ◽  
Arima Model ◽  
The Internet ◽  
Simulation Tool ◽  
Forecasting Methods ◽  
Smart Hospital ◽  
The Internet Of Things

Abstract: The implementation of Manufacture and Automation techniques is mandatory in the current world. Mainly, the enhancement and progress of healthcare are fundamental in wellbeing improvement. This paper points to the utilization of the Internet of Things (IoT) and Industry 4.0 concepts oriented to the optimization of a Smart Hospital using the Hospital Emergency Department (HED) as a case study. This proposal focuses on the development of a smart Hospital-based of the IoT, Industry 4.0, Health 4.0, and other current technology. On the other hand, the use of a computational simulation tool like the Discrete Event Simulation Model (DES) will allow the test, recognition, and reduction of bottlenecks in the HED workflow. The issue given by the bottlenecks is automatically controlled using an improved dynamic shift management proposal based on control theory, forecasting methods, and telemedicine. The results show an improvement in the use of the resources and a reduction of the length of stay that directly reduces the HED mortality rate, improving the service quality. The objective of this paper is to propose a simulation tool-based on DES for a selected HED, using forecasting methods of the patients’ arrival in a HED using the Autoregressive integrated moving average (ARIMA) model. Following the forecasted entries, a proposal for bottleneck avoidance using a HED DES was realized. The forecasting data provided useful predictive information for the improvement of the HED workflow. As well as the analyzed data of a traditional HED system is helpful to solve the overcrowding problem. Finally, the use of simulation tools allows the test and validation of novel proposals for two smart HED optimization proposals following e-Health and Hospital 4.0 principles.

scholarly journals Evaluation of New Guinea Impatiens in Sun and Shade

HortScience ◽  
1996 ◽  
Vol 31 (4) ◽  
pp. 656d-656
Author(s):  
Alan Michael ◽  
Robert Berghage
Keyword(s):  
New Guinea ◽  
Hard Copy ◽  
The Internet ◽  
Point Of Sale ◽  
Landscape Performance ◽  
Trial Field ◽  
Penn State ◽  
Marketing Tool ◽  
Sun And Shade ◽  
New Guinea Impatiens

New Guinea Impatiens have become a major spring crop for many commercial greenhouses. Along with increased sales has come a proliferation of new varieties from which commercial growers must choose. To help provide growers with information to make these selections the ornamental horticulture extension program at Penn State has tested landscape performance of New Guinea Impatiens in the sun and the shade each year since 1994. Cuttings are obtained from commercial producers and six plants of each variety are planted in landscape beds in the full sun and six plants are planted in landscape beds under a shade structure. Plants are evaluated on flowering, foliage and overall appearance every 2 weeks throughout the summer. Commercial growers can evaluate varieties on their own during the trial field day and results are made available in an annual report and are posted on the internet. A survey of participants in the 1995 field day indicated that 98% of those responding used the printed report to make or change their variety selections. Supplementing the printed report with the internet for distribution of results allows broad dissemination of detailed information including photographs and graphics that could not be easily distributed in hard copy form. In the future trial results posted on the internet could be used to supplement point of sale materials, providing growers and retailers with a powerful new marketing tool.

A Web Application for Supply Chain Traceability

2013 ◽  
pp. 125-144 ◽  
Author(s):  
Ioannis Manikas
Keyword(s):  
Supply Chain ◽  
Web Application ◽  
Electronic Mail ◽  
The Internet ◽  
Point Of Sale ◽  
Food Traceability ◽  
Traceability System ◽  
Central Database ◽  
User Friendly ◽  
Web Platform

The efficiency of a traceability system depends on the ability to identify uniquely each unit that is produced and distributed in a way that enables the continuous tracking from the primary production to the retail point of sale. An efficient traceability system must follow some rules that define which data must be gathered and stored in each stage of the supply chain. This is achieved by standardization of the gathered data and typification of the messages that enable storing and communication of the data. This chapter presents a Web-platform that will be able to support efficiently food traceability by monitoring and administering the data gathered and recorded in a central database. This application will be user friendly and provide the ability to keep, display, and communicate information through widely implemented technologies, such as the Internet and electronic mail services.

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