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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 Journal of Intelligent Systems and Information Technology
Arif Tri Widiyatmoko
Universitas Pelita Bangsa
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering

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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
Color Detector in an Image using Python and Computer Vision Library Dicky Ardianto; Arif Tri Widiyatmoko
Journal of Intelligent Systems and Information Technology Vol. 1 No. 1 (2024): January
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/jisit.v1i1.27

Abstract

This research explores the implementation of a color detection system in images using the Python programming language and the Computer Vision library. The primary aim is to enhance the accuracy and efficiency of color detection, a critical component in the realm of automated systems and artificial intelligence. Leveraging Python's versatility and the specialized features of the Computer Vision library, the study conducts experiment to evaluate the proposed system's reliability across diverse image contexts and lighting conditions. The literature review encompasses fundamental color detection concepts, recent advancements in Computer Vision, and practical applications from prior relevant research. The anticipated outcome of this research is a substantial contribution to advancing our understanding of color detection within image processing, with potential implications for a more reliable and widely applicable system
Co-Authors Agung Nugroho Dicky Ardianto Ike Yunia Pasa Wiyanto Wiyanto