Article Per Year (5 Year)
p-Index From 2021 - 2026
1.829
P-Index
This Author published in this journals
All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Jurnal Ilmiah Mahasiswa Ekonomi Pembangunan Jurnal Mirai Management Lex Renaissance Prosiding Seminar Nasional Pakar SEIKO : Journal of Management & Business Jiko (Jurnal Informatika dan komputer) YUME : Journal of Management Jurnal Pengabdian Kepada Masyarakat Prosiding Konferensi Nasional PKM-CSR Jurnal Ilmiah Manajemen dan Akuntansi
Ricky Ricky
Unknown Affiliation
Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Veterinary Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
ANALISA DIGITAL MARKETING SEKTOR PERBANKAN: PERBANDINGAN APLIKASI MOBILE BANKING LIVIN’ BY MANDIRI DAN MYBCA DALAM MEMAKSIMALKAN POTENSI PASAR DIGITAL Chanda Vedalla Putra; Ng Thian Way; Ricky Ricky; Shelby Esfandiany; Eryc Eryc
Jurnal Ilmiah Manajemen dan Akuntansi Vol. 1 No. 5 (2024): September : Jurnal Ilmiah Manajemen dan Akuntansi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/vsmsvn05

Abstract

In this modern era, the need for people to conduct financial transactions remotely has become very common. Recognizing this phenomenon, banks in Indonesia, including BCA and Mandiri, have developed mobile banking applications to meet this need. To increase public awareness of these applications, the banks have implemented digital marketing strategies to maximize the potential of the digital market that can be reached. The research conducted found that BCA and Mandiri banks have been optimizing their digital marketing efforts, although some sectors of digital marketing can still be improved to broaden the reach of customers who are aware of these applications
Pembaharuan Isu Perpajakan pada Mahasiswa Universitas Widya Dharma Pontianak Lauw Sun Hiong; Hengky Leon; Dedi Haryadi; Ricky Ricky
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2024): Mei 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v4i1.2469

Abstract

Maintain economic stability and meet the needs of the community, tax revenue is one of the vital sources of revenue for the government. However, major challenges often arise in ensuring that all taxpayers meet their tax obligations correctly. Tax is a compulsory contribution to the state that must be paid by an individual or entity, which is coercive in accordance with the provisions of the law, without getting direct compensation, used in order to meet the needs of the state in order to achieve maximum welfare of the people. Payment of taxes to the state is mandatory for taxpayers, both individuals and entities. Tax payment is a form of community cooperation in national financing and development, which aims primarily to improve the welfare and prosperity of the entire community. The target of this community service activity is Widya Dharma University Pontianak students who have registered. This activity is held based on needs and increases students' knowledge and abilities by providing socialization. After the socialization was delivered, students understood and realized the importance of accurate and responsible reporting as taxpayers. Follow-up efforts include re-examination of annual tax returns, awareness raising, conducting further consultation processes, participation in voluntary disclosures and reminders and further counseling.
COMPARATIVE ANALYSIS OF PSO AND FIREFLY OPTIMIZATION FOR VIOLENCE REPORT CLASSIFICATION Ryo Wijaya; Palma Juanta; Erick Simson; Ricky Ricky; Windania Purba
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 2 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i2.9721

Abstract

Cases of violence against children and women continue to increase, but the handling of reports is often hampered by the large volume of incoming reports and the lengthy manual classification process. This study aims to address these issues by developing a method for automatically classifying reports of violence using the Support Vector Machine (SVM) algorithm optimized with Particle Swarm Optimization (PSO) and Firefly algorithms. The main objective is to group types of violence accurately to facilitate faster and more effective identification and handling. The research dataset consists of 500 reports obtained from Kaggle, with stages including text pre-processing, implementation of optimization algorithms, and evaluation based on accuracy, precision, recall, and misclassification error. The experiments were conducted using Python on the Google Colab platform. The results showed that PSO-SVM achieved an accuracy of 87.00% and a recall of 80.42%, outperforming Firefly-SVM which achieved an accuracy of 86.00% and a recall of 78.75%. Although Firefly-SVM demonstrated slightly higher precision (92.63%) compared to PSO-SVM (91.53%), PSO-SVM had a lower misclassification error (13.00% compared to 14.00%). These findings indicate that PSO-SVM is more effective for applications requiring better case detection, while Firefly-SVM is more suitable for applications prioritizing precision in positive predictions.
Co-Authors Barus, Okky Putra Chanda Vedalla Putra Chilwin Chilwin Cut Zakia Rizky Dedi Haryadi Delvin Delvin Diana Vimalakirti Chow Erick Simson Erilia Kesumahati Eryc Eryc Hardi Suandri Hengky Leon Herman Herman Hesniati Hesniati Iskandar Muda Jessica Jessica Jesson Lim Jesson Lim Lauw Sun Hiong M. Taufiq Fathaddin Ng Thian Way Palma Juanta Pangaribuan, Jefri Junifer Prissilia Angelika Riki Andiko Ryo Wijaya Sabrina Jovanka Shelby Esfandiany Shendy Dennison Sugiatmo Kasmungin Sweet Chen Windania Purba Winston Winston Yogi Rizky Yudhistira A. Pratama Yuswardi Yuswardi