scholarly journals Analisa Data Penjualan SaRa Collection menggunakan metode Apriori

2021 ◽  
Vol 7 (1) ◽  
pp. 68-73
Author(s):  
Ririn Restu Aria ◽  
Susi Susilowati
Keyword(s):  
Consumer Demand ◽  
A Priori ◽  
Transaction Data ◽  
Made In ◽  
Sales Strategies

Sales are one of the most important things in the SaRa collection. To increase the number of existing sales, SaRa collection must be able to see the opportunities and needs needed by its customers. For this reason, when the Covid 19 pandemic is happening now, the SaRa collection has made a connector that can be used to beautify the use of masks to prevent transmission of the Covid 19 virus. In the process of making the connector, it is still done homemade according to the model that consumers are interested in because it takes time to process and select the model. as well as the appropriate color. Currently, sales are still being recorded manually, so the owner is still having trouble providing a stock of the connector model and color that will be made in order to meet consumer demand. In order to find out what models must be provided, accurate calculations are needed, for that the author uses the a priori algorithm as a method which is expected to be taken into consideration in marketing and sales strategies as well as connecting stock data to be made. A priori calculations with itemset and associations based on sales transaction data in Sara's collection

Nanomechanical Biosensor Using Polymer Membranes

2004 ◽  
Author(s):  
Srinath Satyanarayana ◽  
Daniel T. McCormick ◽  
Arun Majumdar
Keyword(s):  
Surface Stress ◽  
A Priori ◽  
Detection Systems ◽  
Stress Sensors ◽  
Design Flexibility ◽  
High Elasticity ◽  
Sensor Geometry ◽  
Specific Reactions ◽  
Higher Sensitivity ◽  
Made In

In recent years several surface stress sensors based on microcantilevers have been developed for biosensing [1–4]. Since these sensors are made using standard microfabrication processes, they can be easily made in an array format, making them suitable for high-throughput multiplexed analysis. Specific reactions occurring on one surface (enabled by selective modification of the surface a priori) of the sensor element change the surface stress, which in turn causes the sensor to deflect. The magnitude and the rate of deflection are then used to study the reaction. The microcantilevers in these sensors are usually fabricated using material like silicon and its oxides or nitrides. The high elasticity modulus of these materials places limitations on the sensitivity and sensor geometry. Alternately polymers, which have a much lower elastic modulus when compared to silicon or its derivatives, offers greater design flexibility, i.e. allow the exploration of innovative sensor configurations that can have higher sensitivity and at the same time are suitable for integration with microfluidics and electrical detection systems.

scholarly journals IMPLEMENTASI ALGORITMA APRIORI TERHADAP DATA PENJUALAN PADA PERUSAHAAN RETAIL

2019 ◽  
Vol 15 (1) ◽  
pp. 85-90 ◽  
Author(s):  
Jordy Lasmana Putra ◽  
Mugi Raharjo ◽  
Tommi Alfian Armawan Sandi ◽  
Ridwan Ridwan ◽  
Rizal Prasetyo
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
A Priori ◽  
Apriori Algorithm ◽  
Business World ◽  
Transaction Data ◽  
Retail Company ◽  
Special Strategy

The development of the business world is increasingly rapid, so it needs a special strategy to increase the turnover of the company, in this case the retail company. In increasing the company's turnover can be done using the Data Mining process, one of which is using apriori algorithm. With a priori algorithm can be found association rules which can later be used as patterns of purchasing goods by consumers, this study uses a repository of 209 records consisting of 23 transactions and 164 attributes. From the results of this study, the goods with the name CREAM CUPID HEART COAT HANGER are the products most often purchased by consumers. By knowing the pattern of purchasing goods by consumers, the company management can increase the company's turnover by referring to the results of processing sales transaction data using a priori algorithm

Intestacy in Roman Society

1973 ◽  
Vol 19 ◽  
pp. 38-44 ◽  
Author(s):  
John Crook
Keyword(s):  
A Priori ◽  
Good Deal ◽  
Positive Case ◽  
Extreme Form ◽  
Roman Society ◽  
Negative Form ◽  
Made In

The purpose of this paper is to defend a sound old doctrine against a brilliant, amusing and superficially plausible attack by Professor Daube. The doctrine is that propounded – admittedly in an extreme form – by Sir Henry Maine, that Roman society had a ‘singular horror of intestacy’, a ‘passion for testacy’; in his Gray Lectures of 1966, summing up a rather fuller case made in Tulane Law Review, 1965, Professor Daube claimed to demonstrate that the evidence for this doctrine was ludicrously inadequate and the notion in any case a priori absurd. His judgement has been endorsed, with some corroborative arguments, by Professor Watson, and has achieved the approval of Professor Brunt.According to Daube the case in favour of the view that Romans usually made wills and had a dread of dying intestate consists of the following ‘chief’ arguments: that in the Twelve Tables a person who has not made a will is called intestatus, and the negative form of the word implies that it is the exception; secondly that, in Plutarch's famous story, the elder Cato said that one of the three things he regretted in life was to have spent a single day ἀδιάθετος, and finally that in Plautus' Curculio a man is cursed with the words intestatus vivito. With these three arguments Daube has – and gives – a good deal of fun, claiming, in the upshot, to have blown them all sky-high and thus to have demolished the entire positive case for the old view.

scholarly journals A New Length-Based Algebraic Multigrid Clustering Algorithm

VLSI Design ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-14
Author(s):  
L. Rakai ◽  
A. Farshidi ◽  
L. Behjat ◽  
D. Westwick
Keyword(s):  
Clustering Algorithm ◽  
A Priori ◽  
Clustering Algorithms ◽  
Algebraic Multigrid ◽  
Estimation Technique ◽  
Wire Length ◽  
Clustering Technique ◽  
Length Estimation ◽  
Made In

Clustering algorithms have been used to improve the speed and quality of placement. Traditionally, clustering focuses on the local connections between cells. In this paper, a new clustering algorithm that is based on the estimated lengths of circuit interconnects and the connectivity is proposed. In the proposed algorithm, first an a priori length estimation technique is used to estimate the lengths of nets. Then, the estimated lengths are used in a clustering framework to modify a clustering technique based on algebraic multigrid (AMG), that finds the cells with the highest connectivity. Finally, based on the results from the AMG-based process, clusters are made. In addition, a new physical unclustering technique is proposed. The results show a significant improvement, reductions of up to 40%, in wire length can be achieved when using the proposed technique with three academic placers on industry-based circuits. Moreover, the runtime is not significantly degraded and can even be improved.

scholarly journals PENERAPAN ALGORITMA APRIORI DALAM MENENTUKAN POLA PEMBELIAN KONSUMEN DI KAFE HIDDEN TOAST AND FLOAT

2019 ◽  
Vol 4 (2) ◽  
pp. 83-88
Author(s):  
Ridwan Rismanto ◽  
Lucki Darmawan ◽  
Arief Prasetyo
Keyword(s):  
A Priori ◽  
Real Data ◽  
Test Results ◽  
Transaction Data ◽  
Online Purchases ◽  
Sample Data ◽  
Purchasing Patterns ◽  
The City ◽  
Computerized System ◽  
Confidence Value

Progress in Information Technology encourages culinary businesses to innovate, one of them is a computerized system, online-based sales and several interesting features that can increase consumer interest and increase sales to be the most frequently used innovation today. The cafe "Hidden Toast and Float" is a cafe in the City of Kediri. To increase sales from the cafe, a system is needed to facilitate the owner in recording sales and increasing the number of sales by providing automatic menu recommendations to customers. Based on the problem, in this thesis a website-based sales system and sales system will be created that is accompanied by the application of a priori algorithm to determine the purchasing patterns of customers and automatic menu recommendations from the system for customers. The test results of this thesis are two website-based systems with admin systems used to process existing data on the database and customer websites that are used for online purchases, as well as the application of a priori algorithms with the results of testing sample data and real data that produce menu combination recommendations. most often purchased based on all transaction data, namely Dark Choco Jam and Cappucino with a support value of 15% and a confidence value of 45%.

OD, change management, and the a priori: introducing parrhesia

2016 ◽  
Vol 29 (7) ◽  
pp. 1083-1096 ◽  
Author(s):  
Arthur Jay Sementelli
Keyword(s):  
Change Management ◽  
A Priori ◽  
Theory And Practice ◽  
Diagnostic Tools ◽  
Future Research ◽  
Test Cases ◽  
Content Type ◽  
Conceptual Paper ◽  
Practical Implications ◽  
Made In

Purpose The purpose of this paper is to introduce a Foucauldian concept into the theory and practice of OD and change management. The piece challenges Habermasian a priori assumptions about organizational diagnosis and intervention. Design/methodology/approach This is a conceptual paper. Findings Literature points to the benefit of considering the possibility of parrhesiastic behavior in change management and organization development as part of a broader set of diagnostic tools. Research limitations/implications Future research should engage in practice driven test cases, interview practicing change managers, and refine the concept for use as a diagnostic tool. Practical implications Including discussions of parrhesia in change management and OD study and practices can better prepare change professionals for the realities of contemporary organizational practices. Originality/value To date, the links developed in this manuscript have not been made in the management literature, though it builds upon emerging literature in critical management studies and human resource management. It has the potential to influence both theory and practices of both OD and change management.

scholarly journals Probability likelihood and quantity of information in the logic of uncertain inference

1934 ◽  
Vol 146 (856) ◽  
pp. 1-8 ◽  
Keyword(s):  
Normal Distribution ◽  
A Priori ◽  
Continuous Distribution ◽  
The Other ◽  
Uncertain Inference ◽  
The Third ◽  
Independent Observations ◽  
Two Measures ◽  
Made In

In a previous paper H. Jeffreys put forward a method of obtaining the distribution a priori of the precision constant of a hypothetical normal distribution, by means of the principle that if three independent observations are made in succession, from a continuous distribution of any form, the probability that the third observation shall fall between the first two must be one-third (p. 48): "Two measures are made. What is the probability that the third observation will lie between them? The answer is easily seen to be one-third." This proposition, in the form in which Jeffreys states it as the foundation for his deductions, is ambiguous, and may bear one of two distinct meanings, one true and the other demonstrably false. The proposition may mean.

scholarly journals PENERAPAN DATA MINING UNTUK ANALISIS POLA BELANJA KONSUMEN MENGGUNAKAN ALGORITMA APRIORI PADA MALL CPM JAKARTA

2019 ◽  
Vol 2 (2) ◽  
pp. 81-91
Author(s):  
Persis Haryo Winasis
Keyword(s):  
Data Mining ◽  
A Priori ◽  
Transaction Data ◽  
Store Manager ◽  
Processing Data ◽  
Related Product ◽  
Spending Patterns ◽  
New Information ◽  
Product Promotion

Companies engaged in retail such as malls that have a lot of transaction data and sales transactions that are very much. Every purchase transaction made by consumers will be recorded and purchased in one database. Processing data in this study was carried out using a priori algorithm and using the help of the Weka application. The results of data mining in this study are expected to be able to produce new information about spending patterns in a certain period that can be used by the mall manager and store manager to support each related product promotion or organizing an event to increase the number of consumers in a certain period.

scholarly journals Vegetarijanstvo: etička, ekofeministička i biopolitička perspektiva

2018 ◽  
Vol 13 (1) ◽  
pp. 193
Author(s):  
Sanja Petkovska
Keyword(s):  
Animal Rights ◽  
Food Industry ◽  
A Priori ◽  
Biological Species ◽  
Long Time ◽  
Ontological Categories ◽  
Human Attitude ◽  
Cultural Genesis ◽  
The Given ◽  
Made In

The position of animals in theoretical imagination and society stems from the historical naturalization of basic epistemological and ontological categories, the complex socio-cultural genesis of concepts whose assumptions are not easy to unravel nowadays. The given understanding of subjectivity and sociability entails nature as its opposite, but also that all other categories in border classification areas are a priori subordinate to human interests and goals. The debates that took place during the 1970s and 1980s, when it comes to animal rights movements and the ecofeminist movement, have made some sort of confusion in the then accepted approach to this issue. However, only recently has the current biopolitical theory, by posing the question of human determinism and taking into account the conceptual breakthroughs related to the boundary between biological species, established in modern discourse, brought significant innovations in the debate on vegetarianism. In order to explain the shifts that can be made in the debate in the area that opened up with biopolitical theory, two arguments that have dominated the debate for a long time - ethically and ecofeministically – are subjected to critical analysis. While the ethical and ecofeminist standpoints are focused on the categories of political subjectivity and anthropocentric assumptions, biopolitics raises the issue of overcoming the deep ambivalence of normative and practical solutions that characterize the human attitude towards animals and their planned and systematized killing for the requirements of the food industry.

scholarly journals Implementasi Algoritma Apriori Terhadap Data Penjualan Oli Mobil Berbasis Sistem Pencarian Aturan Asosiasi

2019 ◽  
Vol 3 (2) ◽  
pp. 316
Author(s):  
Jorza Rulianto ◽  
Wida Prima Mustika
Keyword(s):  
Data Mining ◽  
Pattern Recognition ◽  
Software Testing ◽  
A Priori ◽  
Marketing Strategies ◽  
Motor Oil ◽  
Transaction Data ◽  
Data Mining Techniques ◽  
Pattern Recognition Techniques ◽  
Mathematical Techniques

Data mining techniques are used to design effective sales or marketing strategies by utilizing sales transaction data that is already available in the company. The problem in the company is that there are many data transactions that occur unknown, causing an accumulation of data unknown sales most in each month & year, unknown brands of car oil are often sold or demanded by customers. So this association search uses a priori algorithm as a place to store data using pattern recognition techniques such as static and mathematical techniques from a set of relationships (associations) between items obtained, it is expected that can help developers in designing marketing strategies for goods in the company. Software testing results that have been made have found the most sold oil brand products if you buy Shell Hx7, it will buy Toyota Motor Oil with 50% support and 66.7% confidence. If you buy Toyota Motor Oil, you will buy Shell Hx 7 with 50% support and 85.7% confidence.

Sign in / Sign up

Export Citation Format

Share Document