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All Journal Journal of Computer Networks, Architecture and High Performance Computing Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Malcom: Indonesian Journal of Machine Learning and Computer Science Global Science: Journal of Information Technology and Computer Science
Arif Tri Widiyatmoko
Universitas Pelita Bangsa
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education

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Optimasi Parameter Support Vector Machine dengan Algoritma Genetika Untuk Penilaian Resiko Kredit Agung Nugroho; Arif Tri Widiyatmoko
Jurnal Pelita Teknologi Vol 17 No 2 (2022): September 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v17i2.1537

Abstract

The aim of this study is to optimize the parameters of a Support Vector Machine (SVM) using a genetic algorithm for credit risk assessment. Consumer credit data from a bank is used in this research. The results show that the SVM with parameters optimized using a genetic algorithm provides better classification performance compared to the SVM with default parameters. In addition, the genetic algorithm can also quickly and efficiently optimize SVM parameters. In conclusion, the genetic algorithm can be used to optimize SVM parameters for credit risk assessment Keywords: Support Vector Machine (SVM), Parameter optimization, Genetic algorithm, Credit risk assessment, Classification performance
Pengembangan Aplikasi Pemetaan Desa Rawan Sanitasi Berbasis Web Menggunakan Open StreatMap: Development of a Web-Based Sanitation-Prone Village Mapping Application Using Open StreatMap Arif Tri Widiyatmoko; Agung Nugroho; Ike Yunia Pasa
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 3 No. 2 (2023): MALCOM October 2023
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v3i2.877

Abstract

Rendahnya kondisi sanitasi di Indonesia, terutama di desa-desa, yang dapat menyebabkan masalah kesehatan dan lingkungan. Akses informasi terkait masalah sanitasi masih sangat minim terutama di desa-desa. Diperlukan aplikasi yang mampu memberikan informasi pemetaan terhadap kondisi sanitasi. Penelitian ini bertujuan untuk mengembangkan aplikasi pemetaan desa rawan sanitasi dengan menggunakan teknologi leafletjs dan Open StreatMap untuk menyediakan informasi pemetaan wilayah rawan sanitasi. dengan mengintegrasikan data spasial dengan data kondisi sanitasi desa aplikasi ini dapat menampilkan pemetaan wilayah desa untuk memudahkan visualisasi desa rawan sanitasi. Hasil pengujian menggunakan metode blackbox testing menunjukkan hasil aplikasi dapat berjalan dengan baik sesuai dengan yang diharapkan.
Development of Web-Based Student Registration Information System with Rapid Application Development Approach Arif Tri Widiyatmoko; Agung Nugroho; Wiyanto Wiyanto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3459

Abstract

The management of student data and the student registration process is an important aspect in the world of education. In the digital era, the use of information technology is crucial to maintain the quality and efficiency of education. Therefore, the development of a web-based student registration information system with a Rapid Application Development (RAD) approach is an efficient and effective solution. This research proposes the development of a web-based student enrolment information system with a RAD approach to improve efficiency, accessibility of student data, and the ability to adapt the system to continuous change. The RAD method consists of requirements planning stages, RAD design workshops, and implementation. The test results of the application show that this application is worth using and meets the expected standards. Thus, the development of a web-based student registration information system with the RAD approach is expected to provide innovative and efficient solutions in overcoming student data management problems and the student registration process
Energy Aware Software Architecture Optimization Using Real Time Analytics and Self Adaptive Control in Intelligent Computing Systems Ardy Wicaksono; Mursalim Mursalim; Arif Tri Widiyatmoko; Deny Prasetyo; Ahmad Budi Trisnawan; Yanuar Wicaksono
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 4 (2025): December: Global Science: Journal of Information Technology and Computer Scienc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i4.195

Abstract

The increasing demand for intelligent computing systems, including cloud computing, artificial intelligence (AI), and the Internet of Things (IoT), has resulted in a significant rise in energy consumption, which poses both environmental and economic challenges. The high computational power required by these systems, coupled with the continuous operation of data centers and connected devices, has led to inefficiencies in energy usage. This paper explores the integration of real time analytics and self adaptive control mechanisms to optimize energy consumption in intelligent systems. By employing advanced software tools for real time monitoring, dynamic adjustments based on workload conditions, and adaptive algorithms for energy optimization, significant reductions in power usage were achieved without compromising system performance. The optimized architecture dynamically adjusts system parameters such as processor frequency, task scheduling, and voltage to ensure efficient energy consumption during varying operational demands. The results show a 24% reduction in energy usage during low demand periods, demonstrating the potential of real time energy management strategies. The study also compares the optimized architecture with conventional static systems, highlighting the benefits of dynamic energy management, including improved performance balance, reduced environmental impact, and lower operational costs. These findings suggest that the integration of energy efficient practices in software design, particularly through real time analytics and self adaptive mechanisms, offers a sustainable solution for modern computing systems. Future research could focus on improving self adaptive systems, incorporating renewable energy sources, and expanding the approach to other intelligent systems, such as autonomous vehicles or large scale smart grids. The practical applications of this research are vast, particularly in large scale applications such as data centers and cloud computing, where energy efficiency is critical for sustainability.
Co-Authors Agung Nugroho Ahmad Budi Trisnawan Ardy Wicaksono Deny Prasetyo Ike Yunia Pasa Mursalim Mursalim Wiyanto Wiyanto Yanuar Wicaksono