Satya Informatika
Vol. 6 No. 02 (2021): SATYA INFORMATIKA

IMPLEMENTASI ALGORITMA CLUSTERING DAN ANALITYCAL HIERARCHY PROCESS UNTUK MENENTUKAN PESERTA LATIHAN DASAR ORGANISASI KEMAHASISWAAN TERBAIK

Istiqomah Sumadikarta (Universitas Satya Negara Indonesia - USNI)
Muhamad Bayu (Unknown)

Article Info

Publish Date
16 Feb 2022

Abstract

In a training activity, a strategy is needed to form groups and assess the best participants. Also like the Student Organization Basic Training (LDOK) at Satya Negara Indonesia University or elsewhere, good group division will increase the competitiveness of each group. Personality theory and the K-Mean method can provide options for forming training groups with equal distribution of participants' characters. With a balanced competition, it is hoped that the scores achieved by the participants can be optimal in each group. Selection of the best participants using the Analytical Hierarchy Process (AHP) method can be used for this purpose by determining the level of importance of each activity being assessed. The results of this study indicate that these two methods can be used as an option by the implementing committee to optimize the results of the training activities .

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Journal Info
Satya Informatika
Website

Abbrev

jsk

Publisher

Universitas Satya Negara Indonesia

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science Social Sciences Other

Description

Jurnal Satya Informatika adalah informasi yang menyajikan tentang ilmu pengetahuan dan informasi penelitian atau aplikasi penelitian dan pengembangan terkini yang berhubungan dengan bidang Teknologi Informasi yang ada di Univeritas Satya Negara Indonesia (USNI). Jurnal Satya Informatika merupakan ...