Analysis of Decision Support System in Determining the Nutritional Status of Toddlers Using Simple Additive Weighting

Authors

  • Ofan Sofian Universitas Bung Karno
  • Joseph Joseph Universitas Bung Karno
  • Fauziyah Fauziyah Universitas Bung Karno

DOI:

https://doi.org/10.21512/commit.v14i1.6069

Keywords:

Decision Support System, Simple Additive Weighting (SAW), Nutritional Status, Multiple- Attribute Decision Making

Abstract

The problem that currently happens in the decision process of the nutritional status for toddlers is often based on manual calculation. However, the manual calculation is prone to data duplication, insufficient data, and a lack of availability of the data itself, which can hinder the monitoring status and the report. Therefore, to ease the determination and calculation process of the nutritional status of toddlers, the researchers conduct a study using the Simple Additive Weighting (SAW) method. The SAW method is selected because it defines the best alternative and some other alternatives based on specified or preferred criteria. This research is conducted by finding the weight value of each attribute and rating the data to determine the nutritional status of toddlers. For the result, the researchers find there are no toddlers with malnutrition in Pemberdayaan Kesejahteraan Keluarga, Program Kerja Kelompok Kerja IV (PKK POKJA IV) of Depok.

Dimensions

Plum Analytics

Author Biographies

Ofan Sofian, Universitas Bung Karno

Received the Master’s degree in Computer Science from STMIK ERESHA, Jakarta, Indonesia in 2014. He is an employee of a direct selling company as learning tech solution specialist, also lecturing in the Faculty of Computer Science, Universitas Bung Karno, Jakarta Indonesia, with interest in database, algorithm and programming.

Joseph Joseph, Universitas Bung Karno

Received the Master’s degree in Management from Universitas Bunda Mulia, Jakarta, Indonesia in 2012. He is an employee from one of foreign companies engaged in oil & gas sector, also lecturing in the Faculty of Computer Science, Universitas Bung Karno, Jakarta Indonesia, with interest in Entrepreneurship & Project Management.

Fauziyah Fauziyah, Universitas Bung Karno

Received the Master's degree in Management Information System from Universitas Gunadarma, Jakarta, Indonesia in 2016. She is a lecturer in the Faculty of Computer Science, Universitas Bung Karno, Jakarta, Indonesia, with an interset in analysis, database and visual programming.

References

M. Rosmiati and N. Hidayatun, “Implementasi metode Simple Additive Weighting dalam menentukan status gizi balita berbasis web,” Paradigma-Jurnal Komputer dan Informatika, vol. 20, no. 2, pp. 113–122, 2018.

Kementerian Kesehatan Republik Indonesia. (2017) Buku saku pemantauan status gizi tahun 2017. [Online]. Available: http://www.kesmas. kemkes.go.id/assets/upload/dir 519d41d8cd98f00/files/Buku-Saku-Nasional-PSG-2017 975.pdf

E. Turban, J. E. Aronson, and T. P. Liang, Decision Support Systems and intelligent systems (7th Edition). United States: Prentice Hall, 2004.

A. Setyawan, F. Y. Arini, and I. Akhlis, “Comparative analysis of Simple Additive Weighting method and weighted product method to new employee recruitment Decision Support System (DSS) at PT. Warta Media Nusantara,” Scientific Journal of Informatics, vol. 4, no. 1, pp. 34–42, 2017.

N. Setiawan, M. Nasution, Y. Rossanty, A. R. S. Tambunan, M. Girsang, R. Agus, M. Yusuf, R. Vebrianto, O. N. Purba, A. Fauzi, S. Perdana, and K. Nisa, “Simple Additive Weighting as decision support system for determining employees salary,” International Journal of Engineering & Technology, vol. 7, no. 2.14, pp. 309–313, 2018.

F. Haswan, “Decision Support System for election of members unit patients Pamong Praja,” International Journal of Artificial Intelligence Research, vol. 1, no. 1, pp. 21–25, 2017.

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Published

2020-05-31
Abstract 964  .
PDF downloaded 593  .