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All Journal International Journal of Computer Science and Information Technology Majalah Ilmiah Teknologi Elektro
Komang Agus Putra Kardiyasa
Universitas Pendidikan Nasional
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Teknik Machine Learning dengan Metode SVM untuk Deteksi Anomali pada Kendala Jaringan FTTH Komang Agus Putra Kardiyasa; Putu Agus Santika Santika
Majalah Ilmiah Teknologi Elektro Vol 24 No 1 (2025): ( Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i01.P07

Abstract

FTTH is a technology that is important in providing high-speed internet services to customers. However, interruptions or anomalies in the FTTH network may cause service interruptions that impact user experience. Anomaly data from FTTH telecommunications networks are collected and processed using preprocessing techniques to prepare data before being used in SVM model training. The training process is carried out by using training data to classify data as normal or anomaly. After the training, an evaluation of the performance of the SVM model was carried out using test data that had never been seen before. The results of the analysis show the ability of the SVM model to detect anomalies in FTTH telecommunication networks with high accuracy and good performance. The conclusion of this study is that machine learning techniques with the SVM method have great potential in anomaly detection in FTTH telecommunication networks.
DEVELOPMENT OF QR CODE TECHNOLOGY FOOD ORDERING APP FOR LIMESTONES BALI RESTAURANT WITH USER CENTERED DESIGN AND USABILITY TESTING Anak Agung Adi Wiryya Putra; I Gusti Ayu Agung Istri Dinda Larasshanti Jelantik; Komang Agus Putra Kardiyasa; Kadek Adyatna Wedananta; I Gusti Ngurah Agung Dava Danendra
International Journal of Computer Science and Information Technology Vol. 3 No. 1 (2026): IJCOMIT Vol 3 No 1
Publisher : Computer Science Department, Malang National Institute of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/ijcomit.v3i1.17760

Abstract

While digital adoption is essential for operational efficiency in the culinary sector, many local restaurants still struggle with the inefficiencies of manual ordering and paper menus, which require longer service times and complicate menu updates. Currently, there is a gap in applying structured, user-focused methodologies to effectively bridge these traditional practices with modern digital solutions. To address this gap, this research aims to design a highly usable UI/UX for a web-based QR Code food ordering system tailored specifically for Limestones Restaurant Bali. The study utilizes the User-Centered Design (UCD) method to ensure the system strictly aligns with user needs, progressing through four stages: specifying the context of use, specifying user and organizational requirements, producing design solutions, and evaluating the design against user requirements. The resulting prototype features an interactive digital menu, shopping cart, and two payment options including QRIS and cash. Design evaluation was conducted through user testing with ten respondents using the System Usability Scale (SUS), achieving a score of 71.25. This score places the system in the "Good" category, demonstrating that its usability exceeds standard acceptability thresholds. Ultimately, the main scientific contribution of this study is a UCD-driven design framework and a validated prototype that systematically resolves the physical limitations of manual menus while significantly enhancing the modern customer ordering experience.
Co-Authors Anak Agung Adi Wiryya Putra I Gusti Ayu Agung Istri Dinda Larasshanti Jelantik I Gusti Ngurah Agung Dava Danendra Kadek Adyatna Wedananta Putu Agus Santika Santika