Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Komang Arsa Wiguna
Unknown Affiliation
Humanities Computer Science & IT Engineering Other

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

Found 2 Documents
Search

 1 
DESIGN UI/UX PENGEMBANGAN APLIKASI PEMBAYARAN MASYARAKAT Komang Arsa Wiguna; I Gede Arta Wibawa; Gst. Ayu Vida Mastrika Giri
Jurnal Pengabdian Informatika Vol. 3 No. 4 (2025): JUPITA Volume 3 Nomor 4, Agustus 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam konteks pengembangan aplikasi "GemPay" di PT Ganeshcom, kami menghadapi serangkaian tantangan yang memerlukan pendekatan komprehensif. Fokus utama meliputi peningkatan keamanan data dengan implementasi enkripsi yang kuat, integrasi beragam sistem pembayaran, serta optimalisasi kolaborasi tim. Semua upaya ini kami lakukan untuk memastikan bahwa "GemPay" memenuhi standar keamanan dan kualitas yang ditetapkan oleh perusahaan, sambil memberikan pengalaman pengguna yang istimewa dalam berbagai transaksi pembayaran
Implementasi Metode Certainty Faktor Untuk Rekomendasi Pembelian Hp Komang Arsa Wiguna; I Gede Arta Wibawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i03.p28

Abstract

In this study, the implementation of the Certainty Factor (CF) method was carried out to provide consumers with more accurate cell phone purchase recommendations. This method combines expert knowledge and user data to produce more reliable recommendations. The implementation process involves collecting relevant HP feature data, establishing rules based on expert knowledge, calculating confidence factors (CF) based on the level of expert confidence and suitability of user data, and merging the CFs of all rules to produce a final recommendation. Through testing and evaluation, the Certainty Factor method is proven to be able to provide accurate HP purchase recommendations and assist consumers in choosing a HP that suits their preferences and needs. However, this research still requires further development to improve the accuracy of recommendations and to conduct tests with larger and more diverse datasets to ensure the effectiveness and validity of this method in the context of H purchase recommendations. 
Co-Authors Gst. Ayu Vida Mastrika Giri I Gede Arta Wibawa