Segmentation-Based Sequential Rules For Product Promotion Recommendations As Sales Strategy  (Case Study: Dayra Store)

Dayan Ramly Ramadhan; Nur Rokhman

doi:10.22146/ijccs.58107

Segmentation-Based Sequential Rules For Product Promotion Recommendations As Sales Strategy (Case Study: Dayra Store)

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ◽

10.22146/ijccs.58107 ◽

2020 ◽

Vol 14 (3) ◽

pp. 243

Author(s):

Dayan Ramly Ramadhan ◽

Nur Rokhman

Keyword(s):

Average Rate ◽

Test Results ◽

Rule Mining ◽

Average Percentage ◽

Sequential Rule ◽

Customer Segment ◽

Rule Method ◽

The Relationship ◽

Product Promotion

One of the problems in the promotion is the high cost. Identifying the customer segments that have made transactions, sellers can promote better products to potential consumers. The segmentation of potential consumers can be integrated with the products that consumers tend to buy. The relationship can be found using pattern analysis using the Association Rule Mining (ARM) method. ARM will generate rule patterns from the old transaction data, and the rules can be used for recommendations. This study uses a segmented-based sequential rule method that generates sequential rules from each customer segment to become product promotion for potential consumers. The method was tested by comparing product promotions based on rules and product promotions without based on rules. Based on the test results, the average percentage of transaction from product promotion based on rules is 2,622%, higher than the promotion with the latest products with an average rate of transactions only 0,315%. The hypothesis in each segment obtained from the sample can support the statement that product promotion in all segments based on rules can be more effective in increasing sales compared to promotions that use the latest products without using rules recommendations.

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Sequential Rule Mining on the Student Behavior Data of an E-Learning Platform in the Field of Financial Sciences: Case Study

10.1109/icecce52056.2021.9514230 ◽

2021 ◽

Author(s):

Doruk Eren Aktas ◽

Mehmet S. Aktas

Keyword(s):

Student Behavior ◽

Rule Mining ◽

Learning Platform ◽

Sequential Rule ◽

E Learning

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Maximal Aerobic Power in Aging Men: Insights From a Record of 1-Hour Unaccompanied Cycling

International Journal of Sports Physiology and Performance ◽

10.1123/ijspp.2017-0019 ◽

2018 ◽

Vol 13 (1) ◽

pp. 112-114 ◽

Cited By ~ 1

Author(s):

Carlo Capelli

Keyword(s):

Aerobic Power ◽

Average Rate ◽

Human Locomotion ◽

Maximal Aerobic Power ◽

Metabolic Power ◽

Master Athletes ◽

Active Lifestyle ◽

Average Percentage ◽

Aging Men ◽

The Relationship

Purpose: To analyze best 1-h unaccompanied performances of master athletes in ages ranging from 35 to 105 y to estimate the decay of maximal aerobic power (MAP) across the spectrum of age. Methods: MAP at the various ages was estimated by computing the metabolic power () maintained to cover the distances during best 1-h unaccompanied performances established by master athletes of different classes of age and by assuming that they were able to maintain an equal to 88% of their MAP during 1 h of exhaustive exercise. Results: MAP started monotonically decreasing at 47 y of age. Thereafter, it showed an average rate of decrease of ∼14% for the decades up to 105 y of age, similar to other classes of master athletes. Conclusions: The results confirm, by extending the analysis to centennial subjects, that MAP seems to start declining from the middle of the 5th decade of age, with an average percentage decay that is faster than that traditionally reported, even when one maintains a very active lifestyle. The proposed approach may be applied to other types of human locomotion for which the relationship between speed and is known.

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Exploring Reading & Writing Relationships in Grade Five

Journal of English Language and Literature ◽

10.17722/jell.v3i2.48 ◽

2015 ◽

Vol 3 (2) ◽

pp. 246-252

Author(s):

Christina Ethel Olivier ◽

Liswani Simasiku

Keyword(s):

Informal Settlement ◽

Test Results ◽

Extensive Reading ◽

Reading And Writing ◽

Pleasure Reading ◽

Post Test ◽

Writing Scores ◽

The Relationship ◽

Experimental Group

The study investigated the relationship between reading and writing with Grade Five learners. The objective of the study was to investigate whether extensive reading and practice in writing enhance learners’ reading and writing skills. The sample for the study consisted of eighty Grade Five learners at a school in an informal settlement in Windhoek. The methods used were questionnaire and case study surveys, and a quasi-experiment. A questionnaire survey and a pre-test administered to both groups were followed by intervention. Qualitative data were gathered means of a case study, while quantitative data were gathered by means of the pre-rest post-test experiment. Analysis of the post-test results indicated that the sessions of pleasure reading and practice in writing improved reading and writing scores for the experimental group. Also, the survey data gained from the experimental group indicated an increase in enjoyment of, interest in, and a positive attitude towards reading.

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Design of E-Voting Information System for Website-Based Village Head Elections (Case Study : Cemandi Village, Sedati, Sidoarjo, East Java)

Procedia of Engineering and Life Science ◽

10.21070/pels.v1i2.1045 ◽

2021 ◽

Vol 1 (2) ◽

Author(s):

Aditya Kurniawan ◽

Yulian Findawati

Keyword(s):

Information System ◽

System Development ◽

Test Results ◽

Average Percentage ◽

Election Process ◽

Vote Count ◽

Voting Methods ◽

The Village ◽

Democratic Country

Voting in a democratic country is an important part of the means of choosing leaders. The village head election process in Indonesia still uses conventional voting methods, namely using ballot paper media in the election process. Voting that is carried out conventionally has several obstacles, including the lack of guaranteeing the authenticity of voters' votes, so that people think the results of voting results are often manipulated. In addition conventional selection is deemed inaccurate and time-consuming and costly. In this study the aim of this research is to design an information system e-voting that can be used for the Election of the Village Head of Cemandi, Sedati, Sidoarjo, East Java, where by using this system the election process becomes easier by ensuring the accuracy of the vote count. This system development method uses the model of software engineering waterfall. The test results blackbox show that the functions of the features in the system are running well. Based on the UAT test, the system received an average percentage rate of 86%.

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Travel Diaries Analysis by Sequential Rule Mining

Journal of Travel Research ◽

10.1177/0047287517692446 ◽

2017 ◽

Vol 57 (3) ◽

pp. 399-413 ◽

Cited By ~ 21

Author(s):

Huy Quan Vu ◽

Gang Li ◽

Rob Law ◽

Yanchun Zhang

Keyword(s):

Sequential Patterns ◽

Destination Marketing ◽

Rule Mining ◽

Data Set ◽

Travel Information ◽

Sequential Rule ◽

Travel Diaries ◽

Geotagged Photos

Because of the inefficiency in analyzing the comprehensive travel data, tourism managers are facing the challenge of gaining insights into travelers’ behavior and preferences. In most cases, existing techniques are incapable of capturing the sequential patterns hidden in travel data. To address these issues, this article proposes to analyze the travelers’ behavior through geotagged photos and sequential rule mining. Travel diaries, constructed from the photo sequences, can capture comprehensive travel information, and then sequential patterns can be discovered to infer the potential destinations. The effectiveness of the proposed framework is demonstrated in a case study of Australian outbound tourism, using a data set of more than 890,000 photos from 3,623 travelers. The introduced framework has the potential to benefit tourism researchers and practitioners from capturing and understanding the behaviors and preferences of travelers. The findings can support destination-marketing organizations (DMOs) in promoting appropriate destinations to prospective travelers.

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The framework for spatiotemporal sequential rule mining: Crime data case study

2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA) ◽

10.1109/ickea.2017.8169898 ◽

2017 ◽

Author(s):

Aragats Amirkhanyan ◽

Christoph Meinel

Keyword(s):

Rule Mining ◽

Crime Data ◽

Sequential Rule

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Association Rule Mining for Selecting Proper Students to Take Part in Proper Discipline Competition: A Case Study of Zhejiang University of Finance and Economics

International Journal of Emerging Technologies in Learning (iJET) ◽

10.3991/ijet.v13i03.8382 ◽

2018 ◽

Vol 13 (03) ◽

pp. 100 ◽

Cited By ~ 2

Author(s):

Xiaoling Huang ◽

Yangbing Xu ◽

Shuai Zhang ◽

Wenyu Zhang

Keyword(s):

Undergraduate Students ◽

Association Rule ◽

Association Rule Mining ◽

Web Design ◽

Object Oriented ◽

Apriori Algorithm ◽

Rule Mining ◽

Design Data ◽

The Relationship

In recent years, the educational issues have attracted more and more researchers’ and teachers’ attention. On the other hand, the development of data mining technology, provides a new method to extract the useful information from the complex educational data. In order to increase the chance of students to be awarded in discipline competition, it is better to select the proper students to take part in the proper discipline competition. Therefore, in this study, we collect the information of 164 undergraduate students as a case study. All students majored in Software Engineering in Zhejiang University of Finance and Economics. The Apriori algorithm with group strategy is used to find the relationship between the students’ courses scores and competition awards. According to the results of association rule mining, we find that the students with higher scores of C# Development, Object-Oriented, Internet Web Design, Data Structure(C#), and Basic Programming will have a higher probability to be awarded in the competition.

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