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All Journal Jurnal Mantik Penusa JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Mantik
Allwin M Simarmata
Universitas Prima Indonesia Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Journal : Jurnal Mantik

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Determination of Eligibility for Employee Transfers Using the Mabac Algorithm Allwin M Simarmata; Serfasius Gowasa
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jurnalmantik.Vol5.2021.1470.pp1096-1103

Abstract

Employee transfer is a common activity in an organization. The transfer is intended to position the employee in the right group so that the employee will obtain job satisfaction while also providing maximum performance. The difficulties detected in this study are the large number of employees, which makes it difficult for the management to make decisions in a fast time. To solve the problems identified in this study, the authors are interested in designing the feasibility determination for employee transfers by applying the MABAC method. MABAC stands for Multi-Attributive Border Approximation Area Comparison. MABAC was proposed by Pamucar and Cirovic. The basic concept of the MABAC method is viewed from the basis of the distance function criteria from each alternative which is seen from the prediction area of ??the border. Based on the results of the application of the MABAC algorithm for the employee mutation process involving 60 alternatives with 8 assessment criteria, the decision was obtained that the employee selected for employee transfer was A19.
Grouping Diabetes Diagnosis Based on Age Range with K-means Algorithm Allwin M.Simarmata; Maria Albina Pratiwi Sianipar; Sukbinder Singh; Intan Is Mutiara Gulo
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diabetes Mellitus has two types of disease, namely Diabetes Type I and Diabetes Type II. Research on the grouping of diabetes based on age at RSU Royal Prima Medan has not been carried out. For this reason, the researchers made a research analysis in grouping diabetes based on age. The aim of this research is to find the age group that is susceptible to being diagnosed with Type I or Type II diabetes. Researchers took sample data from patients diagnosed with diabetes of 2019 as many as 200 data. The method used in grouping the data is Kmeans. The Kmeans method has been widely used in various studies for grouping in the medical field. The results of the calculation analysis show that a sample of 200 data is Type I Diabetes at the age of 43 - 47, 56, 62, 67, 68 while Type II diabetes is at the age of 49, 55, 63. It is possible from the results of the study that patients of that age are not based on There are not many types though. The conclusion in this study is that the grouping of Type I and Type II diabetes based on age is expected to assist the hospital in identifying patients quickly so that patients can receive health services quickly as well.
Co-Authors Denniel Lusandy Intan Is Mutiara Gulo Johan Johan Kelvin Lysander Kompromi Wisjul Setiawan Maria Albina Pratiwi Sianipar Mawaddah Harahap Purwoko, Agus Raj Kumar Ricky Septian Gunawan Siburian Serfasius Gowasa Sukbinder Singh Wilson Limbong