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Image of PERBANDINGAN METODE WEIGHTED PRODUCT(WP) DAN MULTI ATTRIBUTE UTILITY THEORY (MAUT) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DAERAH DENGAN TINGKAT GIZI BURUK TERTINGGI

Text

PERBANDINGAN METODE WEIGHTED PRODUCT(WP) DAN MULTI ATTRIBUTE UTILITY THEORY (MAUT) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DAERAH DENGAN TINGKAT GIZI BURUK TERTINGGI

Jody, Muhammad Abi - Personal Name;

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Penilaian anda saat ini :  

Malnutrition is a nutritional disorder that can be fatal to the health of toddlers. This incidence of malnutrition if not overcome will cause a bad impact on toddlers. Poor nutrition will have an impact on child growth. With the current problems, a decision support system is needed to determine the area that has the highest level of malnutrition. Based on these problems, in this study a decision support system will be built using the Weighted Product (WP) and Multi Attribute Utility Theory (MAUT) methods. This method is used to evaluate several alternatives to a set of attributes or criteria, where each attribute is independent of one another. The criteria used in this study include income, number of health services, cleanliness of knowledge about health, and food sources. Based on the results of the accuracy test by comparing the results from the data obtained from the Lahat District Health office, 48.48% of the results were obtained.


Availability
Inventory Code Barcode Call Number Location Status
2207004010T79495T794952022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T794952022
Publisher
Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022
Collation
xvi, 46 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Pengolahan Data
Jurusan Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  • PERBANDINGAN METODE WEIGHTED PRODUCT(WP) DAN MULTI ATTRIBUTE UTILITY THEORY (MAUT) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DAERAH DENGAN TINGKAT GIZI BURUK TERTINGGI
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