KLASIFIKASI BAHAGIA BERDASARKAN FASILITAS UMUM MENGGUNAKAN METODE DECISION TREE

NASTITI, SHAFIRA SIWI and Kresnawati, Endang Sri and Resti, Yulia (2024) KLASIFIKASI BAHAGIA BERDASARKAN FASILITAS UMUM MENGGUNAKAN METODE DECISION TREE. Undergraduate thesis, Sriwijaya University.

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Abstract

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%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: kebahagiaan, Fasilitas Umum
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User: Shafira Siwi Nastiti
Date Deposited: 02 Jan 2025 07:07
Last Modified: 02 Jan 2025 07:07
URI: http://repository.unsri.ac.id/id/eprint/161969

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