Skripsi

KLASIFIKASI BAHAGIA BERDASARKAN FASILITAS UMUM MENGGUNAKAN METODE DECISION TREE

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Penilaian

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Happiness for many people is pleasure, tranquility, success in obtaining what is desired, joy, or satisfaction with an event. Happiness is the opposite condition of suffering and hardship. This study aims to classify the status of happiness based on public facilities using the decision tree method using data used taken from kanggle.com. The database consists of 143 data, there are 6 predictor variables and 1 target variable, 6 predictor variables consist of X1 Infovail (availability of information), X2 Housecost (house price), X3 Schoolquality (school quality), X4 Policetrust (trust in the police), X5 Streetquality (road quality), X6 Acvents (events), and 1 target variable (y) Happy (happiness). The classification method used in this study, the decision tree uses the rapidminer application, producing an average accuracy of 5.04%, micro precision of 58.10%, macro precision of 54.55%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407006924	T161969	T1619692024	Central Library (REFERENCE)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1619692024

Publisher

Indralaya : Prodi Ilmu Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2024

Collation

xiv, 165 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.312 07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Ilmu Matematika
Pembelajaran Mesin

Specific Detail Info

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Statement of Responsibility

TUTI

Other version/related

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