Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknologi Informasi dan Pendidikan Jurnal Teknologi Dan Sistem Informasi Bisnis
I Wayan Rizky Wijaya
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Implementasi PPID Dalam Mendukung Transparansi Informasi di Politeknik Pariwisata Bali Wijaya, I Wayan Rizky; Gunawan, I Made Agus Oka; Dharma, I Gede Teguh Satya
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 4 (2025): Oktober 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i4.2244

Abstract

As a vocational higher education institution in the field of tourism, Politeknik Pariwisata Bali has an obligation to provide the public with access to information that is easy, fast, and accountable. This study discusses the implementation of the Public Information and Documentation Officer (PPID) as the main instrument to support information transparency at Politeknik Pariwisata Bali. The system was developed using the Waterfall method with PHP as the programming language and MySQL as the database. The testing process was carried out using the blackbox testing method to ensure that each system function operates as required. The implementation results show that the developed PPID system is capable of providing services for information requests, complaints, and public aspirations in a more effective and integrated manner.
Agile Project Management pada Pengembangan E-Musrenbang Kelurahan Benoa Bali Dewi, Kadek Cahya; Ciptayani, Putu Indah; Wijaya, I Wayan Rizky
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 6: Desember 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2907.644 KB) | DOI: 10.25126/jtiik.2018561143

Abstract

Pendekatan Agile telah diperkenalkan sebagai upaya untuk membuat rekayasa perangkat lunak yang fleksibel dan efisien. Penelitian ini adalah penelitian studi kasus, dengan mengangkat kasus pengembangan sistem e-musrenbang Kelurahan Benoa Bali. Penelitian bertujuan untuk menerapkan manajemen proyek berbasis agile pada kasus tersebut. Metode pengumpulan data yang digunakan adalah in-depth interview, observasi dan focus group discussion. Hasil penelitian menunjukkan bahwa waktu pengembangan proyek adalah 8 minggu. Proyek menggunakan kerangka kerja Scrum yang membagi proyek menjadi 4 sprint. Evaluasi sistem dilakukan melalui focus group discussion dengan pihak product owner dan pengguna sistem. Dapat disimpulkan bahwa pendekatan agile dapat diterapkan dalam pengembangan e-musrenbang Kelurahan Benoa Bali. Pengguna sistem dapat menerima kehadiran e-musrenbang dan memanfaatkannya dalam proses pengajuan usulan perencanaan pembangunan di Kelurahan Benoa Bali.AbstractAgile Approach has been introduced as an attempt to make software engineering flexible and efficient. The research was case study research, with case of e-musrenbang system development in Benoa Village Bali. The research objectives to implement agile project management in that case. Data collection methods used were in-depth interview, observation and focus group discussion. The results found that the project development time was 8 weeks. The project used a Scrum framework that divided the project into 4 sprints. System evaluation is done through focus group discussion with product owner and system users. It can be concluded that the agile approach can be applied in the development of e-Musrenbang in Benoa Village Bali. System users accepted e-musrenbang presence and utilized it in the process of submitting proposals for development planning in Benoa Village Bali.
Agile-Based Field Internship Information System for Academic Administration Digitalization Made Pradnyana Ambara; I Made Agus Oka Gunawan; I Wayan Rizky Wijaya
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan (In Press)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1069

Abstract

This study presents the development of a web-based internship management information system (PKL) aimed at improving the efficiency, transparency, and accountability of internship administration and supervision processes in the Department of Information Technology, Politeknik Negeri Bali. The system was developed using the Agile methodology to allow iterative and adaptive development, supported by the CodeIgniter 4 framework for lightweight and modular implementation. Core system features include online registration, internship letter submission, document uploads, supervision logs, and lecturer monitoring tools, all integrated to facilitate collaboration among students, supervisors, and administrators. The system’s performance was evaluated using black-box testing, which confirmed valid results across all major functional requirements, ensuring technical reliability. Furthermore, a usability assessment using the System Usability Scale (SUS) involving 20 respondents produced a score of 84.50, categorized as excellent, indicating high user satisfaction, ease of use, and efficiency. These findings demonstrate that the system not only fulfills its functional objectives but also enhances the digital transformation of vocational academic services, offering a replicable and scalable model for other educational institutions aiming to modernize their internship management processes.
Analisis Performa Komparatif Algoritma Machine Learning untuk Deteksi Fraud dalam Transaksi Blockchain Apriyanthi, Ni Putu Eka; Dhewanty, Civica Moehaimin; Ayu, Putu Desiana Wulaning; Nugroho, I Made Riyan Adi; Wijaya, I Wayan Rizky
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2285

Abstract

The decentralized finance (DeFi) and blockchain environment encounters substantial security threats, particularly complex and expensive fraudulent activities. Conventional detection methods frequently prove insufficient when dealing with enormous transaction volumes and datasets characterized by unbalanced class distributions. This research seeks to examine and evaluate the effectiveness of three widely used machine learning techniques Logistic Regression, Random Forest, and XGBoost in identifying fraudulent activities within blockchain transactions. The investigation utilized an Ethereum transaction dataset sourced from Kaggle, where the imbalanced data distribution was addressed through the application of SMOTE methodology. Performance assessment was carried out using precision, recall, F1-score, and ROC-AUC measurements on testing data. The findings demonstrate XGBoost's superiority among the algorithms, delivering an accuracy rate of 99.46%, precision of 99.69%, recall of 97.86%, and ROC-AUC score of 99.97%, while maintaining minimal false positive occurrences (only 1 instance). These results exceeded those achieved by both Random Forest and Logistic Regression models, demonstrating that gradient boosting methodologies excel at detecting intricate fraudulent behaviors. The study's outcomes offer significant contributions toward creating resilient and autonomous fraud detection frameworks. Keywords: Blockchain, Fraud, Machine Learning, Logistic Regression, Random Forest, XGBoost.
Weighted ANOVA and Mutual Information for Enhanced Intrusion Detection System I Gede Teguh Satya Dharma; I Wayan Rizky Wijaya; I Made Agus Oka Gunawan; Made Pradnyana Ambara
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026 (Article in Progress)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2448

Abstract

The rapid escalation in the sophistication of network attacks has exposed the limitations of traditional Intrusion Detection Systems (IDS). While machine learning has shown great promise in enhancing IDS performance, its success often hinges on the effectiveness of feature selection. Standard feature selection techniques, however, struggle in cybersecurity applications due to the highly imbalanced nature of network traffic datasets. In such settings, minority attack classes, though critical, are often overshadowed by majority classes, leading to reduced detection of rare intrusions. To address this challenge, we propose a hybrid feature selection framework that integrates Analysis of Variance (ANOVA) and Mutual Information (MI) with a novel class-frequency weighting mechanism. This weighting scheme adjusts the relevance score of each feature according to the distribution of classes, ensuring that features associated with rare attacks are more strongly emphasized during the selection process. We evaluate our method on the UNSW-NB15 dataset using a Support Vector Machine classifier. The results show that our approach achieves substantial gains in recall for underrepresented classes while simultaneously reducing feature dimensionality and maintaining efficiency. By improving the visibility of features tied to minority attacks, the proposed framework provides a more balanced and reliable solution for modern IDS. This contribution advances the detection of rare but impactful threats and highlights a scalable pathway for building more resilient cybersecurity defenses.
Co-Authors Civica Moehaimin Dhewanty I Gede Teguh Satya Dharma I Made Agus Oka Gunawan Kadek Cahya Dewi Made Pradnyana Ambara, Made Pradnyana Ni Putu Eka Apriyanthi Nugroho, I Made Riyan Adi Putu Desiana Wulaning Ayu Putu Indah Ciptayani