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Journal : Journal of Engineering, Technology and Computing (JETCom)

Grouping Data of Patients Who Are Conducting Drugs Abuse Rehabilitation Using The Clustering Method (Case Study: BNNK Binjai) Ana, Putri; Buaton, Relita; Simanjuntak, Magdalena
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 2 (2023): JETCom, July 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i2.103

Abstract

Rehabilitation is an appropriate alternative punishment for drug addicts. By utilizing data mining using input data in the form of rehabilitation patient data at BNNK Binjai, the data will be processed using the clustering method using the k-means algorithm. K-Means is a non-hierarchical data clustering method that seeks to partition existing data into one or more clusters or groups so that data has characteristics. Of the 20 data tested in cluster 1 there are a total of 13 data and are located in the Age group (X) which is 26-35 years old, and for the substance type group (Y) used is methamphetamine and in the Occupational group (Z), namely Self-employed. in cluster 2 there is a total of 5 data and it is located in the Age group (X) which is 26-35 years old, and for the Substance type group (Y) used is Shabu and in the Employment group (Z) namely Not Yet Working. in cluster 3 there is a total of 2 data and it is located in the Age group (X) which is 26-35 years old, and for the Substance type group (Y) used is Shabu and in the Occupational group (Z) namely Private Employees.
Decision Support System Determining Differentiate Learning In Students Using The Moora Method Agus Sapitri, Liana; Fauzi, Achmad; Simanjuntak, Magdalena
Journal of Engineering, Technology and Computing (JETCom) Vol. 3 No. 1 (2024): JETCom (March 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v3i1.140

Abstract

Quick and precise decision-making is key in facing global competition. Based on the results of research conducted at STMIK Kaputama Binjai, the learning process for students is good, but they still have to develop other methods in the learning process. less effective and efficient, not in accordance with differentiated learning. Differentiated learning is learning that gives students the freedom to increase their potential according to their learning readiness, interests, and learning profile. Differentiated learning does not only focus on learning products, but also focuses on processes and content or materials. To overcome this problem, it is necessary to build a system to streamline the process of determining the methods that need to be applied in well-computerized classrooms by utilizing the processes of the Decision Support System (DSS). Based on the results of the research conducted, it was found that the Kinesthetic Learning Model with a value of 0.715; has the highest score and is ranked first. With these results it is also concluded that the learning model is appropriate to be a learning model in providing students with differentiated learning.