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

Skripsi

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

Ananda, Sicillia Rizki - Personal Name;

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Penilaian anda saat ini :  

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.


Availability
Inventory Code Barcode Call Number Location Status
2307005166T121317T1213172023 (Referens)Available
Detail Information
Series Title
-
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
-
Classification
001.430 7
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Informasi, Fakultas Ilmu Komputer
Percobaan Ilmiah
Specific Detail Info
-
Statement of Responsibility
FIRA
Other version/related

No other version available

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