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All Journal JUTEKIN (Jurnal Manajemen Informatika) JIKA (Jurnal Informatika)
Azzuhry, Dimas Rully
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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IMPLEMENTASI METODE WEIGHTED PRODUCT UNTUK PEMBERIAN BONUS KARYAWAN Subekti, Dayat; Wicaksono, Arief Ikhwan; Mukti, Agung Permana; Azzuhry, Dimas Rully
Jurnal Informatika Vol 8, No 1 (2024): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v8i1.9477

Abstract

Giving bonuses to workers is an accomplishment that goes above and beyond the goal; it can raise productivity levels across the board for those involved. Employees frequently complain to business owners about differences in bonus calculations; these inaccuracies are frequently the result of incomplete data that was used to calculate and record data. The goal of this research is to apply the weighted product method algorithm to the decision support system for employee bonus distribution in order to promptly solve difficulties that arise. The MYSQL database, Django Framework, and Python programming language were used in the construction of the system. The weighted product method and the waterfall method are the two approaches used by the research road. The weighted product approach is used to determine bonuses, while the waterfall method is used for the phases of system development that include analysis, design, implementation, and testing. The study's findings will assist the finance department and business owners in organising data using preset criteria and performing calculations using the weighted product method to make employee bonus decisions easier.
EXPERT SYSTEM FOR DIAGNOSIS OF AIRBORNE INFECTIOUS DISEASES IN HUMANS WITH MAMDANI FUZZY LOGIC Subekti, Dayat; Priyanto, Agung; Mukti, Agung Permana; Azzuhry, Dimas Rully
JUTEKIN (Jurnal Teknik Informatika) Vol 11, No 1 (2023): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v11i1.671

Abstract

People in today's information age are increasingly demanding all kinds of information to be presented quickly. One of them is information in the medical field, in this case information about the diagnosis of a disease which is usually in the form of an expert system. Various methods are used in expert systems, one of which is Mamdani fuzzy logic or better known as the Mamdani inference system. The use of fuzzy logic in diagnosing this disease does not require numbers as input.The Mamdani fuzzy logic expert system in this study is specifically used to diagnose infectious diseases in humans, namely: whooping cough or pertussis, measles, diphtheria, mumps, meningitis, tuberculosis, variola, and varicella. This system diagnoses diseases based on inputting the characteristics or symptoms suffered. The diagnosis result is a number of possible diagnoses for each disease. The closer the number to 1 (one), the higher the probability of contracting one of the diseases mentioned above.The system that has been created can already be used to detect diseases according to the characteristics or symptoms entered. However, this system is only a research and the results cannot be used as a reference for real disease diagnosis. 
Co-Authors Agung Priyanto Arief Ikhwan Wicaksono Mukti, Agung Permana Subekti, Dayat