Article Per Year (5 Year)
p-Index From 2021 - 2026
4.497
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Fountain of Informatics Journal Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Informatika Universitas Pamulang Jurnal Teknoinfo Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Kreativitas PKM INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Inti Talafa : Jurnal Teknik Informatika JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) International Journal of Applied Sciences and Smart Technologies Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Ilmu Komputer untuk Masyarakat Data Sciences Indonesia (DSI) "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Purwayoga, Vega
Universitas Siliwangi
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Teknoinfo

 1 
VISUALISASI REKOMENDASI PEMILIHAN JURNAL BIDANG INFORMATIKA DENGAN MENGGUNAKAN R DAN SHINY Vega Purwayoga; Andi Nurkholis
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2325

Abstract

Lecturers are required to carry out the Tri Dharma, one of which is research. In the research process a lecturer sometimes encounters several obstacles. Some of the factors that become obstacles include incentives related to publication costs and the unavailability of appropriate journal references. Several ways to overcome obstacles in the publication process have been carried out, but there are still problems with lecturers being confused about publishing their scientific work in a journal. This obstacle is due to the absence of a journal selection recommendation system. This study recommends journals based on the scope of the journal, the number of editions of the journal, and the cost of publication of the journal. The recommendation process is carried out using a skyline query algorithm, namely Block-nested loop (BNL). BNL works by comparing domination between objects on an attribute. The object, in this case the journal, is recommended if the journal dominates several attributes or at least one attribute. This study also developed a visualization of journal recommendations in the form of a web-based application. This visualization is expected to facilitate the journal recommendation process to users, so that it can help find journals that are in accordance with the papers to be published in a journal.
PENERAPAN DATA MINING UNTUK PEMETAAN DAERAH RAWAN BENCANA SEBAGAI UPAYA KESIAPSIAGAAN TERHADAP BENCANA Vega Purwayoga; Ali Astra Mikail; Salma Dewi Nur Faridah; Virra Retnowati A’izzah
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2381

Abstract

Disasters have a major impact on several sectors, such as infrastructure, manufacturing, tourism and transportation. One way to prepare for or improve disaster preparedness is to implement preventive measures. Preventive actions can be taken by identifying disasters in each area from past data. This study aims to map areas affected by disasters to facilitate disaster preparedness programs. The data used in this research are areas of West Java that will be affected by the disaster in 2022 from January to October. The disaster data used in this study are floods, landslides, abrasion, tornadoes, droughts, fires, earthquakes and tsunamis. Research to use data mining techniques, namely grouping techniques. The clustering algorithm used in this study is the K-means cluster. The clustering process was carried out several times to find out the comparison of the quality of the grouping results which in this study used the Within Cluster Sum of Squares (WSS). The best WSS value is when the number of k or the number of clusters is 5, which is 89.8%. This research is expected to be a reference for disaster preparedness. This research also produced disaster grouping maps, where each cluster has different characteristics or types of disaster.
Co-Authors Addinsyah, Yuldan Nur Al Husaini, Muhammad Alam Rahmatulloh Alfarez, Rifky Alhusaini, Muhamad Ali Astra Mikail Andi Nurkholis Aradea Aradea Ariyanto, Nabhan Thoriq Aziz, Nur Jannah Abdi Euis Nur Fitriani Dewi Gunawan, Rohmat Harry Gunawan Hen Hen Lukmana Hermansyah, Aam Hilal, Rizki Ramdhan Jasmin, Nur Shabrina Jatnika, Muhammad Dzulfaqori Kartini, Nuri Lisna Zahrotun Lukmana, Hen Hen Maarip, Syamsul Mikail, Ali Astra Muhammad Al Husaini Mustofa, Romy Faisal Nugraha, Cindera Syaiful Pangestu, Pandu Rachman, Andi Nur Ramadhan, Delvan Rianto Rianto, Rianto Rindiawan, Selvina Zalfa Rizal, Randi Salma Dewi Nur Faridah Septi Asriani, Aveny Setyawan, Resa Siti Yuliyanti, Siti Sokid, Sokid Susanto, Budi Tedy Setiadi Triono, Wahyu Virra Retnowati A’izzah Winda Ayu Anggraini Wulandari, Nunik Herani Yumna, Irsalina Zakwan Gusnadi