Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal KLIK: Kajian Ilmiah Informatika dan Komputer Urecol Journal. Part F: Community Development
Kustanto, Yoga
Unknown Affiliation
Computer Science & IT Environmental Science Social Sciences

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

Found 2 Documents
Search

 1 
Karang Taruna Skills Training in Management and Sustainability of Websites as Publication Media for Karanganyar Tourism Village Suryaningtyas, Annis Azhar; Andarini, Rachmawati Yulia; Jalaluddin, Alif; Ayu, Putri Java Esya; Kustanto, Yoga; Pamungkas, Diaz Resnu
Urecol Journal. Part F: Community Development Vol. 3 No. 1 (2023)
Publisher : Konsorsium LPPM Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53017/ujcd.251

Abstract

The importance of digital publication of tourism villages. In fact, Karanganyar village already has a publication media in the form of a website with the address www.karanganyarborobudur.com. The information presented includes activities, tourism potential, and village cultural attractions. However, this publication activity is still not optimal. There are three factors that become obstacles in the consistency of managing the Karanganyar Village website. First, there are limited human resource skills in managing, developing, and producing published content on the website. Then, there is still no sustainable organization of website management as a village publication media by a legitimate village government. Finally, there is no transparency in communication and coordination between villages and youth organizations in managing the website. Therefore, the publication of tourism potential and activities in Karanganyar Village has not been able to spread outside. The implementation phase of integrated community service activities in Karanganyar Village is carried out for two months. The series of activities are the implementation of situation analysis, planning, implementation, as well as evaluation and reporting. The result of holding PPMT activity period V is that Karanganyar villagers get additional soft skills, namely the ability to process websites, write news properly and correctly in accordance with a communicative news writing structure, and have a clear organizational structure for website admin managers.
Implementasi K-Modes Clustering Untuk Pengelompokan Data Bermain Game Pada Mahasiswa Ditinjau Dari Durasi Belajarnya Kustanto, Yoga; Ratna Arumi, Endah; Dimas Sasongko; Ully Artha, Emilya; Agung Prabowo, Nugroho
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1619

Abstract

The development of the internet has created a new means of entertainment, namely online games. Problems in learning motivation among students can be related to addiction to playing online games. This can be seen from students who often play games both during the lecture process and when they have finished studying. The problem with learning motivation is that there are students who experience a decline in achievement and experience problems with their personality, so this research aims to group students who play games according to the duration of playing games and the duration of studying. This research uses the K-Modes Clustering method to analyze the relationship between game addiction and learning motivation based on the duration spent playing games and studying. Data obtained through an online questionnaire survey of Muhammadiyah University of Magelang students includes information about the time students spend playing games and studying. The results of analysis on 90 student data using the k-modes clustering algorithm obtained good clustering results. The number of clusters produced was 2 clusters with cluster 1 totaling 63 members while cluster 2 had 27 members with a Cost value of 323. The results of clustering on game playing data required determining optimal clusters so this research used the Elbow method which obtained the optimal number of clusters of 6 clusters. with a cost value of 250. Apart from that, the clustering results were analyzed by looking at the distance from each cluster using the Silhouette Score whose value was 0.1531955 and the relationship between variables using a matrix obtained negative results.
Co-Authors Andarini, Rachmawati Yulia Ayu, Putri Java Esya Dimas Sasongko Emilya Ully Artha Jalaluddin, Alif Nugroho Agung Prabowo Pamungkas, Diaz Resnu Ratna Arumi, Endah Suryaningtyas, Annis Azhar