SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENERIMA BLSM PEMERINTAH KABUPATEN LAMONGAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

KURNIA, DEWI TRI FITA (2014) SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENERIMA BLSM PEMERINTAH KABUPATEN LAMONGAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW). undergraduate thesis, Universitas Muhammadiyah Gresik.

[img]
Preview
Text
11. ABSTRACT.pdf

Download (86kB) | Preview
[img]
Preview
Text
12. BAB 1.pdf

Download (103kB) | Preview
[img]
Preview
Text
13. BAB II.pdf

Download (384kB) | Preview
[img]
Preview
Text
14. BAB III .pdf

Download (766kB) | Preview
[img] Text
15. BAB IV.pdf
Restricted to Registered users only

Download (1MB)
[img]
Preview
Text
16. BAB V .pdf

Download (83kB) | Preview
[img]
Preview
Text
17. DAFTAR PUSTAKA.pdf

Download (85kB) | Preview
Official URL: http://digilib.umg.ac.id/gdl.php?mod=browse&op=rea...

Abstract

BLSM an immediate temporary relief masyarakat.Blsm is government assistance that is given to people who can not afford. In the case of people who are not able to determine just seen secarasekilas alone without considering other things. Based on the findings of the above problems, it will build a decision support system for selecting the type of wood used method Simple Additive Weighting (SAW) because it describes a method of ranking the processing method that will be the best alternative from a number of alternatives based on preference criteria values and weights that have been determined . Simple Additive Weighting Method (SAW) using the criteria of the floor area of the building, type of floor, wall type, toilet facility, source of drinking water, family members can not afford medical treatment, KRT education, employment The results of the process using the Simple Additive Weighting (SAW) is a list of recommendations by the public in accordance with the criteria desired by the government are ranked based on the highest score to the lowest. The top recommendation is the community with the highest score

Item Type: Thesis (undergraduate)
Subjects: Engineering > Informatics Engineering
Engineering
Divisions: Faculty of Engineering > Informatics Engineering Study Program
Depositing User: tri risdianto saifullah
Date Deposited: 01 Jul 2019 12:05
Last Modified: 01 Jul 2019 12:05
URI: http://eprints.umg.ac.id/id/eprint/1537

Actions (login required)

View Item View Item