Penerapan Data Mining Untuk Prediksi Penjualan Wallpaper Menggunakan Algoritma C4.5

Mapping Intimacies ◽

10.31227/osf.io/x6svc ◽

2018 ◽

Author(s):

Juna Eska

Keyword(s):

Data Mining ◽

Decision Tree ◽

Added Value ◽

Data Mining Algorithm ◽

Material Quality ◽

Mining Algorithm ◽

C4.5 Algorithm ◽

Using Data ◽

Wall Decoration ◽

Price Algorithm

Wallpaper wallpaper or wallpaper wall is a wall decoration with a variety of motifs and colors. Wallpaper isused to change the appearance of a space to be more beautiful and has added value. Plain house walls tend tomake the occupants of the house feel bored because of the monotonous wall appearance. For that, having theinitiative to design the wall of the house with wallpaper into a bright idea that should be tried. Coloring thewalls of the house with wallpaper can add a beautiful impression on a room, so the room looks more expressive.Various motifs, colors, and wallpaper styles can be selected. Therefore, the seller must be more careful toprovide wallpaper which will be a lot of devotees, so it is necessary to recommend the type of wallpaper typeusing Classification method is done using data mining algorithm C4.5. data required is the best wallpaperbrand data, color, motif, material quality, size, and price. Algorithm C4.5 is a data classification algorithm oftype of decision tree. The decision tree The C4.5 algorithm is constructed with several stages including theselection of attributes as roots, creating branches for each value and dividing instances in branches. Thesestages will be repeated for each branch until all the cases on the branch have the same class. From thecompletion of the decision tree there will be some rules.

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Analysis of sales levels of pharmaceutical products by using data mining algorithm C45

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v22.i1.pp476-484 ◽

2021 ◽

Vol 22 (1) ◽

pp. 476

Author(s):

Rini Sovia ◽

Abulwafa Muhammad ◽

Syafri Arlis ◽

Guslendra Guslendra ◽

Sarjon Defit

Keyword(s):

Data Mining ◽

Decision Tree ◽

Data Processing ◽

Medicinal Product ◽

Pharmaceutical Products ◽

Data Mining Algorithm ◽

Sales Data ◽

Great Demand ◽

Mining Algorithm ◽

Using Data

<p>This research was conducted to analyze the level of sales of pharmaceutical products at a Pharmacy. This is done to find out the types of products that have high and low sales levels. This study uses the C45 Data Mining Algorithm concept that will produce a conclusion on the prediction of sales of pharmaceutical products through data processing obtained from sales transactions at pharmacies. This C45 algorithm will form a decision tree that provides users with knowledge about products that are in great demand by consumers based on sales data and predetermined variables. The final result of the C45 algorithm produces a number of rules that can identify the inheritance of a type of medicinal product. C45 algorithm is able to produce 20 types of categories that will be labeled goals based on the number of pharmaceutical products, since it can be concluded that C45 successfully defines 55% of the existing objective categories.</p>

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Analysis of Hepatitis C Virus using Data Mining Algorithm -Apriori, Decision Tree

International Journal on Bioinformatics & Biosciences ◽

10.5121/ijbb.2017.7301 ◽

2017 ◽

Vol 7 (3) ◽

pp. 01-11

Author(s):

Ha Yeong Jeong ◽

Tae Seon Yoon

Keyword(s):

Data Mining ◽

Hepatitis C Virus ◽

Hepatitis C ◽

Decision Tree ◽

Data Mining Algorithm ◽

Mining Algorithm ◽

Using Data

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Decision Tree: Customer Churn Analysis for a Loyalty Program Using Data Mining Algorithm

Communications in Computer and Information Science - Soft Computing in Data Science ◽

10.1007/978-981-15-0399-3_2 ◽

2019 ◽

pp. 14-27

Author(s):

Angela Siew Hoong Lee ◽

Ng Claudia ◽

Zuraini Zainol ◽

Khin-Whai Chan

Keyword(s):

Data Mining ◽

Decision Tree ◽

Data Mining Algorithm ◽

Loyalty Program ◽

Customer Churn ◽

Churn Analysis ◽

Mining Algorithm ◽

Using Data

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Data Mining Power Determination Nurses Sultan Sulaiman Hospital With C4.5 Algorithm

Journal Of Computer Networks, Architecture and High Performance Computing ◽

10.47709/cnapc.v2i1.360 ◽

2020 ◽

Vol 2 (1) ◽

pp. 77-82

Author(s):

Wenika Hidayati ◽

Paska Marto Hasugian

Keyword(s):

Data Mining ◽

Health Services ◽

Decision Tree ◽

Regional Hospital ◽

Data Mining Algorithm ◽

Hospital Data ◽

Mining Algorithm ◽

C4.5 Algorithm ◽

Existing Data

The hospital is an agency engaged in health services in the which there are a number of special professions that can provide health services to the community items, namely doctors, Midwives and nurses and other professes. In this discussion, Arise and problems that can be raised into case studies to find out the results and information of each process in data mining Carried out with the C4.5 algorithm items, namely nurses. However, there are Several obstacles to Determine the nurses who will be declared passed or failed and accepted to work and can provide health services to the community, especially Patients who come for treatment. Therefore we need a method to identify nurses in a hospital. Data Mining with c4. 5 Algorithm can be used to the make predictions or classifications of nurses who are eligible to perform health services in hospitals by making decision trees based on existing data. This study aims to apply the data mining algorithm C4.5 in Determining nurses based on four attributes of used items, namely Accreditation, GPA, Age, and the value of each criterion has been determined in advance. The results of the study in the form of a decision tree Obtained from the data mining process with the C4.5 algorithm will provide information on the determination of nurses in the Sultan Sulaiman Regional Hospital.

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