Skripsi

KLASIFIKASI INTENSITAS CURAH HUJAN DI KOTA PALEMBANG DENGAN MENGGUNAKAN ALGORITMA DECISION TREE (C4.5)(STUDI KASUS: BMKG STASIUN KLIMATOLOGI PALEMBANG)

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Penilaian

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Based on its astronomical position, Indonesia experiences two seasons, the dry and the rainy season. Erratic seasonal changes will affect activities in various sectors. Therefore, it is important to know what factors that influence changes in seasonal patterns in the dry and the rainy seasons classification. The availability of data on weather factors provided by the BMKG will certainly support extracting information from this data. In classifying the dry and rainy seasons based on weather factors, a data mining method is used, namely classification. Decision tree (C4.5) is the algorithm used in classifying seasons in Palembang City. Tests were executed using weather data from January 1, 2019 to September 30, 2022 using cross validation in training and testing models through the RapidMiner application. From the test results using the confusion matrix, the classification result with the highest accuracy value is 75.68%. The nine factors that influence the classification of seasons are date, Tavg, Tx, RH_avg, ddd_car, Tn, ss, RR, and ff_x. Wherein the attribute date (time of occurrence) is the most important and main attribute or factor in determining the classification of the dry and the rainy seasons.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307005166	T121317	T1213172023	(Referens)	Available

Detail Information

Series Title

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Call Number

T1213172023

Publisher

Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Uniersitas Srwijaya., 2023

Collation

xv, 63 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

001.430 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Informasi, Fakultas Ilmu Komputer
Percobaan Ilmiah

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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