Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Journal of Computer System and Informatics (JoSYC)
Reti Handayani
Universitas Mahaputra Muhammad Yamin, Solok
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penerapan Metode PROMETHEE-GAIA Dalam Pemeringkatan Perguruan Tinggi di Indonesia Ronal Watrianthos; Reti Handayani; Wakhinuddin Simatupang; Dedy Irfan; Mukhlidi Muskhir
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3419

Abstract

The Ministry of Research, Technology and Higher Education has been conducting university rankings since 2015. The goal is to map or build Indonesian universities. This ranking is known as university clustering, and it is separated into two categories: non-vocational/academic institutions and vocational universities. The goal of this research is to create higher education clusters based on the four key indicators that have been identified. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) II decision model in Multi-Criteria Decision Making (MCDM) was employed, together with Geometrical Analysis for Interactive Aid (GAIA) as geometric analysis in the form of decision-making visualization. This investigation yields alternative 2 with a phi of 0.5125 as a compelling value, followed by alternatives 3 and 1. According to the data, the second university out of the five evaluated had the best performance based on the four weights of the Indonesian higher education clustering indicator.
Penerapan Algoritma K-Means Pada Pemetaan Kemampuan Penggunaan Teknologi Informasi Remaja dan Dewasa di Indonesia Ronal Watrianthos; Reti Handayani; Ade Fitrah Putra Akhir; Ambiyar Ambiyar; Unung Verawardina
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2264

Abstract

In modern-day Indonesia, having access to various forms of technology is regarded as crucial. This is because the IT skills gap will only grow worse if the government does not act swiftly to make technology more accessible to the general public. PISA suggests that schools may gain much more from incorporating IT into their curriculum if they did so. The goal of this research is to establish whether or not there are notable variations in the level of knowledge in information technology across the different provinces in Indonesia. Official data from the Central Statistics Agency for 2019-2021, including information on the number of adolescents and adults aged 15-59 with abilities in the field of ICT at the provincial level, is used in the clustering calculation. The K-means algorithm is one unsupervised learning technique for clustering data into collections with other instances that share similar properties. The results showed that the seventh cluster had the lowest DBI value of the three examined, coming in at -0.357. Cluster 0 has the lowest average percentage of the population with IT skills, at 29.32%. Only in Papua Province will you find this particular zero cluster.
Co-Authors Ambiyar, Ambiyar Dedy Irfan Edwin Anwar Etika Melsyah Putri, Etika Melsyah Ilham Junaidi Jeprimansyah Jeprimansyah Lili Wahyuni Mukhlidi Muskhir Putra Akhir, Ade Fitrah Rasidah Nasrah Rita Dwi Putri Ronal Watrianthos Simatupang, Wakhinuddin Unung Verawardina Yendi Putra