PENERAPAN MIXTURE MODEL KEPADA APLIKASI HELPDESK BERBASIS WEB

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Mira Chandra Kirana ◽  
Landong Moral Etisa
Keyword(s):  
Data Management ◽  
Mixture Models ◽  
Mixture Model ◽  
Service Providers ◽  
Customer Data ◽  
Location Data ◽  
Address Data ◽  
Store Location ◽  
Search For Information ◽  
Number Of Customers

The use of mixture models in the application implementation helpdesk aims to find the spread of data from various data hordes in order to find data near the desired results. It aims to facilitate the search for information derived from the company's technical documents. The use of helpdesk applications is to manage complaint data or any problems that are owned by customers, thus requiring service providers. Because companies engaged in services have a number of customers who are not small and have different problems. As well as having customers in different locations - requiring customer data management that can store location data with ease to use, it is preferred to store customer's address data. For that helpdesk application also uses map mapping online by using google map.Purpose in order to present the data online and can be accessed wherever located.

scholarly journals Privacy vs. Reward in Indoor Location-Based Services

2016 ◽  
Vol 2016 (4) ◽  
pp. 102-122 ◽  
Author(s):  
Kassem Fawaz ◽  
Kyu-Han Kim ◽  
Kang G. Shin
Keyword(s):  
Location Privacy ◽  
Indoor Localization ◽  
Service Providers ◽  
Location Based Services ◽  
Location Information ◽  
Privacy Concerns ◽  
Indoor Location ◽  
Location Data ◽  
Personalized Services ◽  
Privacy Risks

AbstractWith the advance of indoor localization technology, indoor location-based services (ILBS) are gaining popularity. They, however, accompany privacy concerns. ILBS providers track the users’ mobility to learn more about their behavior, and then provide them with improved and personalized services. Our survey of 200 individuals highlighted their concerns about this tracking for potential leakage of their personal/private traits, but also showed their willingness to accept reduced tracking for improved service. In this paper, we propose PR-LBS (Privacy vs. Reward for Location-Based Service), a system that addresses these seemingly conflicting requirements by balancing the users’ privacy concerns and the benefits of sharing location information in indoor location tracking environments. PR-LBS relies on a novel location-privacy criterion to quantify the privacy risks pertaining to sharing indoor location information. It also employs a repeated play model to ensure that the received service is proportionate to the privacy risk. We implement and evaluate PR-LBS extensively with various real-world user mobility traces. Results show that PR-LBS has low overhead, protects the users’ privacy, and makes a good tradeoff between the quality of service for the users and the utility of shared location data for service providers.

scholarly journals Complying with Privacy Legislation: From Legal Text to Implementation of Privacy-Aware Location-Based Services

2018 ◽  
Vol 7 (11) ◽  
pp. 442 ◽  
Author(s):  
Mehrnaz Ataei ◽  
Auriol Degbelo ◽  
Christian Kray ◽  
Vitor Santos
Keyword(s):  
Data Privacy ◽  
Location Privacy ◽  
Service Providers ◽  
Location Based Services ◽  
Legal Text ◽  
General Data Protection Regulation ◽  
Location Data ◽  
Privacy Laws ◽  
Technical Issues ◽  
General Data

An individual’s location data is very sensitive geoinformation. While its disclosure is necessary, e.g., to provide location-based services (LBS), it also facilitates deep insights into the lives of LBS users as well as various attacks on these users. Location privacy threats can be mitigated through privacy regulations such as the General Data Protection Regulation (GDPR), which was introduced recently and harmonises data privacy laws across Europe. While the GDPR is meant to protect users’ privacy, the main problem is that it does not provide explicit guidelines for designers and developers about how to build systems that comply with it. In order to bridge this gap, we systematically analysed the legal text, carried out expert interviews, and ran a nine-week-long take-home study with four developers. We particularly focused on user-facing issues, as these have received little attention compared to technical issues. Our main contributions are a list of aspects from the legal text of the GDPR that can be tackled at the user interface level and a set of guidelines on how to realise this. Our results can help service providers, designers and developers of applications dealing with location information from human users to comply with the GDPR.

scholarly journals Rancangan Aplikasi Kasir Berbasis Dekstop Pada Toko Citra MJ Cikarang

2021 ◽  
Vol 8 (2) ◽  
pp. 136
Author(s):  
Diah Wijayanti ◽  
Sunarto Ade Irawan ◽  
Eko Haryadi ◽  
Yuli Komalasari ◽  
Dede Mustomi
Keyword(s):  
Data Processing ◽  
Data Management ◽  
User Satisfaction ◽  
Program Design ◽  
Report Generation ◽  
Product Data ◽  
Customer Data ◽  
Transaction Data ◽  
Program Application ◽  
Questionnaire Method

Abstrak: Citra MJ merupakan perusahaan yang mempunyai suatu usaha   penjualan berupa pakaian. Dimana Citra MJ dalam proses usahanya masih terkendala dalam hal pengelolaan data. Selain itu sistem pembayaran transaksi yang dilakukan oleh kasir masih bersifat manual sehingga menyebabkan banyak waktu yang terbuang. Sistem yang masih manual dalam pengelolaan data menyebabkan kasir kesulitan dan membutuhkan waktu yang lama dalam mencari data produk, data pelanggan maupun data transaksi.  Karena itu untuk mempermudah hal tersebut toko Citra MJ membuat pengolahan data dan pembuatan laporan administrasi sistem kasir, Toko Citra MJ memanfaatkan penggunaan teknologi salah satunya penggunaan teknologi komputer dengan membuat perancangan aplikasi program kasir untuk toko Citra MJ. Tujuan dari perancangan program ini adalah membantu kegiatan kasir dalam hal pengolahan data seperti pengolahan data produk, data pegawai, data transaksi, data pelanggan serta pembuatan laporan di toko MJ. Aplikasi program ini sementara ini di peruntukkan untuk kasir saja ke depannya tidak menutup kemungkinan mengembangkan menjadi aplikasi yang berbasis web. Sistem kasir ini menggunakan metode waterfall, yang mana metode ini dilakukan secara berurut mulai dari analisa, rancangan, pengkodean, pengujian sampai implementasi. Dalam perancangan program kasir di toko MJ bahasa pemrograman yang digunakan adalah java, database xampp dengan software pendukung adalah NetBeans IDE 8.1. Dengan melihat dari hasil pengujian yang menggunakan metode kuisioner diperoleh tngkat kepuasaan pengguna aplikasi program kasir sebesar 82,12 %, hal ini berarti bahwa pengguna sangat puas dengan aplikasi program kasir.   Kata kunci: program kasir, rancangan program   Abstract: Citra MJ is a company that has a sales business in the form of clothing. Where Citra Mj in its business process is still constrained in terms of data management. In addition, the payment system for transactions carried out by the cashier is still manual, causing a lot of wasted time. The system that is still manual in data management causes cashiers to have difficulty and takes a long time in finding product data, customer data and transaction data. Therefore, to make this easier, the Citra Mj store makes data processing and makes administrative reports for the cashier system, the Citra Mj store utilizes One of the uses of technology is the use of computer technology by designing a cashier program application for the Citra MJ store. The purpose of this program design is to assist cashier activities in terms of data processing such as product data processing, employee data, transaction data, customer data and report generation. This program application is currently intended for cashiers only, in the future it is possible to develop it into a web-based application. This cashier system uses the waterfall method, where this method is carried out sequentially starting from analysis, design, coding, testing to implementation. In designing the cashier program at the Mj store the programming language used is java, the xampp database with supporting software is NetBeans IDE 8.1. By looking at the test results using the questionnaire method, the level of user satisfaction of the cashier program application is 82.12%, this means that the user is very satisfied with the cashier program application.   Keywords: cashier program, program design

scholarly journals Data Stewardship – addressing disciplinary data management needs

2018 ◽  
Author(s):  
Marta Teperek ◽  
Maria J. Cruz ◽  
Ellen Verbakel ◽  
Jasmin K. Böhmer ◽  
Alastair Dunning
Keyword(s):  
Data Management ◽  
Common Denominator ◽  
Management Support ◽  
Research Institutions ◽  
Multidisciplinary Research ◽  
University Of Technology ◽  
Address Data ◽  
Subject Specific ◽  
Data Stewardship ◽  
The Common

One of the biggest challenges for multidisciplinary research institutions which provide data management support to researchers is addressing disciplinary differences1. Centralised services need to be general enough to cater for all the different flavours of research conducted in an institution. At the same time, focusing on the common denominator means that subject-specific differences and needs may not be effectively addressed. In 2017, Delft University of Technology (TU Delft) embarked on an ambitious Data Stewardship project, aiming to comprehensively address data management needs across a multi-disciplinary campus. In this practice paper, we describe the principles behind the Data Stewardship project at TU Delft, the progress so far, we identify the key challenges and explain our plans for the future.

scholarly journals EVALUATING THE ACCURACY OF POST-PROCESSED KINEMATIC (PPK) POSITIONING TECHNIQUE

2021 ◽  
Vol 47 (2) ◽  
pp. 66-70
Author(s):  
Atınç Pırtı
Keyword(s):  
Screening Method ◽  
Weighted Average ◽  
Reference Station ◽  
Location Data ◽  
Least Squares Adjustment ◽  
Store Location ◽  
High Production ◽  
Positioning Technique ◽  
Observation Times ◽  
Basic Statistical Analysis

Post-processing kinematics (PPK) is positioning process in which signals received from a mobile receiving device store location data can be adjusted using corrections from a reference station after data has been collected. The processed kinematic screening method provides the surveyor with a technique for high production survey measurements and can be used in areas with minimal satellite barriers. PPK uses significantly reduced observation times compared to static or fast static observations. This method requires least squares adjustment or another multiple basic statistical analysis that can produce a weighted average of observations. The results obtained using PPK are between 1 cm and 3 cm for horizontal coordinates and from 1 cm to 10 cm for vertical coordinates.

scholarly journals On Bayesian Mixture Credibility

2006 ◽  
Vol 36 (2) ◽  
pp. 573-588 ◽  
Author(s):  
John W. Lau ◽  
Tak Kuen Siu ◽  
Hailiang Yang
Keyword(s):  
Mixture Models ◽  
Mixture Model ◽  
Claim Data ◽  
Sampling Scheme ◽  
Sample Mean ◽  
Infinite Mixture Model ◽  
Risk Characteristics ◽  
Insurance Portfolio ◽  
Bayesian Mixture ◽  
Prior Estimate

We introduce a class of Bayesian infinite mixture models first introduced by Lo (1984) to determine the credibility premium for a non-homogeneous insurance portfolio. The Bayesian infinite mixture models provide us with much flexibility in the specification of the claim distribution. We employ the sampling scheme based on a weighted Chinese restaurant process introduced in Lo et al. (1996) to estimate a Bayesian infinite mixture model from the claim data. The Bayesian sampling scheme also provides a systematic way to cluster the claim data. This can provide some insights into the risk characteristics of the policyholders. The estimated credibility premium from the Bayesian infinite mixture model can be written as a linear combination of the prior estimate and the sample mean of the claim data. Estimation results for the Bayesian mixture credibility premiums will be presented.

Emerging Retail Strategies in Urban Canada

2012 ◽  
pp. 114-131
Author(s):  
Tony Hernandez ◽  
Magnus Svindal
Keyword(s):  
Spatial Distribution ◽  
Small Town ◽  
Resident Population ◽  
Location Data ◽  
Urban Markets ◽  
Store Location ◽  
Retail Chains ◽  
Corporate Concentration ◽  
Market Saturation

In this article, the authors examine the spatial distribution of major retail chains across Canada. Using store location data for 2001 and 2006, the geospatial approach adopted in this study allows for the analysis of retail chains’ store portfolios by the size of the resident population of the ‘markets’ within which they operate. The analysis presented highlights the dominance of chain locations within and proximal to Canada’s major urban markets and provides further evidence of increasing interest amongst a number of major chains in ‘small town’ (or ‘C’) markets. It points to a future in which these smaller markets will become more competitive with an increased presence of major retail chains. The findings reported can be seen as the locational imprint of the processes of corporate concentration taking place across Canada, fuelled by the interplay of increased competition, concerns over market saturation and the need to sustain growth.

Using GIS to Explore the Retail Structure of Market Towns in Ireland

2013 ◽  
Vol 4 (1) ◽  
pp. 17-31 ◽  
Author(s):  
Bill Dwan
Keyword(s):  
Retail Sector ◽  
Threshold Analysis ◽  
Demand And Supply ◽  
Location Data ◽  
Market Town ◽  
Store Location ◽  
Retail Demand ◽  
Retail Structure ◽  
Retail Activity ◽  
Market Towns

The paper presents a Geographic Information System (GIS)-based approach to quantifying and comparing retail structures. It explores the retail landscape of the three largest market towns in County Tipperary, Republic of Ireland, namely: Clonmel, Thurles and Nenagh. The context for the study is provided through an overview of recent changes in the Irish retail sector, the dynamic of market towns and the associated challenges inherent in defining retail structure. Using demographic and retail store location data a demand threshold analysis is undertaken on custom-defined catchments for each market town (derived using a Huff Model). The paper highlights that applied GIS approaches can effectively be used to examine retail structure and to benchmark the relative under- or over-penetration of retail activity within a given set of markets. The paper also underlines the limitations inherent in such analysis and the need for high quality longitudinal data on retail demand and supply.

On Using Demographic Variables to Determine Segment Membership in Logit Mixture Models

1994 ◽  
Vol 31 (1) ◽  
pp. 128-136 ◽  
Author(s):  
Sachin Gupta ◽  
Pradeep K. Chintagunta
Keyword(s):  
Panel Data ◽  
Mixture Models ◽  
Mixture Model ◽  
Demographic Variables ◽  
Demographic Characteristics ◽  
Empirical Application ◽  
Scanner Panel Data ◽  
Scanner Panel ◽  
Specific Profile ◽  
Brand Preferences

The authors propose an extension of the logit-mixture model that defines prior segment membership probabilities as functions of concomitant (demographic) variables. Using this approach it is possible to describe how membership in each of the segments, segments being characterized by a specific profile of brand preferences and marketing variable sensitivities, is related to household demographic characteristics. An empirical application of the methodology is provided using A.C. Nielsen scanner panel data on catsup. The authors provide a comparison with the results obtained using the extant methodology in estimation and validation samples of households.

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