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Journal : IJISTECH

Decision Support System to determine students who are eligible to receive the scholarship of Indonesian Smart Card (KIP) By Using Fuzzy Sugeno Nanda Jarti
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i2.129

Abstract

Smart Indonesia Card (KIP) Is a state guarantee card for the continuity of college by providing freedom of tuition fees, fees given to underprivileged students so that they can continue their education. The problem that occurs in the provision of kip scholarships is that it is difficult to analyze students who are entitled to receive the scholarship so that standard criteria are needed such as proof of kip card, photocopy of report card, certificate of graduation, photo of student's house and photocopy of family card so that the scholarship given is right on target for students who entitled to receive such assistance. This study uses the Sugeno method by taking the Max value (the highest value) and using the or operator. The benefits of this research can be used as a decision-making system.
Fuzzy Inference System In Predicting Unemployment Levels In Batam City Nanda Jarti; Sestri Novia Rizki
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i1.73

Abstract

Batam city is known as an industrial city in Indonesia; this can be seen from a large number of Indonesians who come to the Riau Islands to work. The company standards in accepting industrial employees can be seen from various aspects, such as age, education, company, opportunities, and job vacancies. Each of these aspects can be used as a decision-making system in predicting unemployment in Batam City. The method in completing this research is using the Sugeno method by taking the highest score and using the operator and. Sugeno's work steps are four. The first is the determination of the input value, the second is the inference engine, the third is the application of the Implementation function, and the fourth is the definition to get the final value—application for determining job vacancies using Matlab software.