TY  - JOUR
T1  - Analysis of the Determination of the Result of Welfare Rice Aid in Indonesia (Case Study in
Palang Karaya, Central Kalimantan) Using SAW and TOPSIS
AU - Widodo, Agus 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 10
SP  - 2304
EP  - 2309
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.2304.2309
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.2304.2309
KW  - Rastra
KW  -comparison of SAW and TOPSIS
KW  -literary recipients
KW  -Palangkaraya
KW  -V9
AB  - The distribution of subsidized rice is expected
to be slightly helped by the burden of daily life. But
sometimes some things cause programs that were already
well organized and planned to become off-target. So that,
the selection process for receiving prosperous rice
assistance in Indonesia, especially in the Palangkaraya
region of Central Kalimantan can be on target and wise,
a decision support system is needed by using the Simple
Additive Weighting (SAW) method and TOPSIS.
Research utilizing the SAW method can be used in
determining decisions for scholarship recipients as did
Eniyati. While the TOPSIS method in research conducted
by Lestari is able to solve multi-dimensional problems in
the case study of recruiting new employees. The results of
the research conducted obtained the results of the decision
of the two methods used. The results obtained from the
data used are simulation data where the SAW method
produces Ismadi in the first order of literary recipients
who are entitled to the final value of the alternative, V9 =
0.95. While the TOPSIS method produces different
literary recipients in the first order, namely Syarifah Hj.
The relative closeness to the recipient of Syarif Hj
is C3 = 0.7483. The results of both methods, if analyzed
with the criteria/rating of importance used, the TOPSIS
results are much closer to the decision that can be taken,
because C3 is in first place with a value of 0.7483 and
income criteria = 450,000, LR = 4, JT = 1, age = 81 and
education = not elementary school. While the SAW
results that produce V9 = 0,95 and income criteria =
5,500,000, LR = 14, JT = 4, age = 56 and education =
Bachelor Degree.
ER  -