SENSOR SELECTION COMPARISON BETWEEN FUZZY TOPSIS ALGORITHM AND SIMPLE ADDITIVE WEIGHTING ALGORITHM IN AUTOMATIC INFUSE MONITORING SYSTEM APPLICATION

One of the critical equipment to support a patient in the hospital would be an infuse system. One of the main problems with the infuse system was manual monitoring. Few researchers try to build a low cost infuse system using a low-cost sensor and microcontroller. This paper proposes a fuzzy Topsis a...

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Published inSinergi (Fakultas Teknologi Industri Univeritas Mercu Buana. Vol. 24; no. 3; pp. 207 - 212
Main Authors Budiyanto, Setiyo, Hakim, Galang Persada Nurani, Firdausi, Ahmad, I. M, Fajar Rahayu
Format Journal Article
LanguageEnglish
Published Universitas Mercu Buana 09.07.2020
Subjects
fuzzy topsis
infuse system
mcdm
photo diode
photo resistor
photo transistor
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Summary:One of the critical equipment to support a patient in the hospital would be an infuse system. One of the main problems with the infuse system was manual monitoring. Few researchers try to build a low cost infuse system using a low-cost sensor and microcontroller. This paper proposes a fuzzy Topsis algorithm and Simple Additive Weighting (SAW) algorithm to choose the best sensor for a low cost to the infuse system, which is one of the Multiple Criteria Decision Making (MCDM) problems. Several simulations using three sensors, such as LDR (photoresistor), phototransistor, and photodiode, are performed. By using these two algorithms, it can be shown that the phototransistor emerges as the best sensor with value 1, even though it has the price six times higher from the LDR sensor and three times higher from the photodiode.
ISSN:1410-2331
2460-1217
DOI:10.22441/sinergi.2020.3.005