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UEU » Journal » Magister Ilmu Komputer
Posted by [email protected] at 02/06/2025 16:44:19  •  49 Views


PREDICTION OF WASTE VOLUME BASED ON ANNUAL TRENDS USING DATA MINING

Created by :
Made Aka Suardana (20230804010) ; Vitri Tundjungsari ( 0301057601 )



SubjectPEMBANGUNAN BERKELANJUTAN
SAMPAH
PENGELOLAAN
TEKNOLOGI INFORMASI
Alt. Subject SUSTAINABLE DEVELOPMENT
WASTE
MANAGEMENT
INFORMATION TECHNOLOGY
Keyworddata mining
Waste Management
XGBoost
Recycling
Waste Volume Prediction
Date Create:02/06/2025
Type:Text
Format:Fullteks artikel
Language:English
Identifier:UEU-Journal-11_5595
Collection ID:11_5595


Source :
Technovasia: Multidisciplinary International Journal, Vol. 1, Issue 2, pp: 49-55

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2025 Perpustakaan Universitas Esa Unggul


Publication URL :
https://digilib.esaunggul.ac.id/prediction-of-waste-volume-based-on-annual-trends-using-data-mining-39053.html




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[ Link of Contents]
  1. Technovasia: Multidisciplinary International Journal
    https://journal-iam.com/index.php/technovasia/article/view/27/17

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Management , Prediction , Recycling , Volume , Waste , Waste Management , Waste Volume Prediction , XGBoost , data , data mining , mining



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