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Implementation Of Data Mining On Glasses Sales Using The Apriori Algorithm Primasatria Edastama; Ankur Singh Bist; Ari Prambudi
International Journal of Cyber and IT Service Management Vol. 1 No. 2 (2021): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

The Optik Nasional is one of the most important optik in Tasikmalaya. Many of his everyday sales transactions, even longer sales, will increase as a result of his activities through the process of purchasing and selling glasses with diverse brands. If left to its own devices, sales transaction data devolves into useless junk. With the help of technological advancements, the ability to collect and process data is improving. Data mining is the process of extracting information and expertise from large amounts of data. Transaction data may be used and analysed to generate helpful information for improved sales and promotional goods, in addition to serving as an archive for the firm. The author utilises the Apriori algorithm to obtain information on the most popular and in-demand goods in a database transaction at a national optical firm, so that the results may be utilised to improve the growth of eyeglass sales and marketing.

Use of Data Warehouse and Data Mining for Academic Data : A Case Study at a National University Primasatria Edastama; Amitkumar Dudhat; Giandari Maulani
International Journal of Cyber and IT Service Management Vol. 1 No. 2 (2021): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

If an organisation has full, rapid, exact, and accurate information, it may perform better in terms of evaluation, planning, and decision-making. The essential information can be derived from operational data maintained in an integrated database by a university that already has an information system. This research looks at how to collect operational data into a data warehouse and then apply data mining techniques to analyse the data. This study yielded a comprehensive data warehouse with a web-based information reporting application. Furthermore, data mining techniques are used to analyse the data warehouse that has been created. The result of the application of data mining is the generation of characteristic patterns of students who take certain specialization programs.

Implementation Of Data Mining On Glasses Sales Using The Apriori Algorithm Primasatria Edastama; Ankur Singh Bist; Ari Prambudi
International Journal of Cyber and IT Service Management Vol. 1 No. 2 (2021): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

The Optik Nasional is one of the most important optik in Tasikmalaya. Many of his everyday sales transactions, even longer sales, will increase as a result of his activities through the process of purchasing and selling glasses with diverse brands. If left to its own devices, sales transaction data devolves into useless junk. With the help of technological advancements, the ability to collect and process data is improving. Data mining is the process of extracting information and expertise from large amounts of data. Transaction data may be used and analysed to generate helpful information for improved sales and promotional goods, in addition to serving as an archive for the firm. The author utilises the Apriori algorithm to obtain information on the most popular and in-demand goods in a database transaction at a national optical firm, so that the results may be utilised to improve the growth of eyeglass sales and marketing.

Use of Data Warehouse and Data Mining for Academic Data : A Case Study at a National University Primasatria Edastama; Amitkumar Dudhat; Giandari Maulani
International Journal of Cyber and IT Service Management Vol. 1 No. 2 (2021): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

If an organisation has full, rapid, exact, and accurate information, it may perform better in terms of evaluation, planning, and decision-making. The essential information can be derived from operational data maintained in an integrated database by a university that already has an information system. This research looks at how to collect operational data into a data warehouse and then apply data mining techniques to analyse the data. This study yielded a comprehensive data warehouse with a web-based information reporting application. Furthermore, data mining techniques are used to analyse the data warehouse that has been created. The result of the application of data mining is the generation of characteristic patterns of students who take certain specialization programs.

Study on Innovation Capability of College Students Based on Extenics and Theory of Creativity Kim Beom Rii; Primasatria Edastama; Nabilah Fitri Nabilah
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 2 (2022): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Individual innovation ability is an essential element for enterprise-independent innovation and building a new nation. College students are the main force behind future innovation. But there is no practical means or method for promotion Student ability to innovate. This post discusses the features and benefits of creativity theory and extensions We analyzed and compared the major existing innovation methods from the perspective of capacity building. next, Presenting a combined training model to promote innovative abilities of students, taking advantage of creativity Research and Extenics are integrated and mutually supportive. The effectiveness of our model is proven by our educational practices Case. This dissertation also provides reference material as a guide to improving the innovative abilities of graduate students

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