Daud Elia Leander
Universitas Mandiri

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SISTEM REKOMENDASI KEPUTUSAN UPGRADE SMARTPHONE MENGGUNAKAN ALGORITMA C4.5 BERBASIS AI Haris Nizhomul Haq; Hermansyah Nur Ahmad; Ryan Catur; Anderias Eko Wijaya; Kodar Udoyono; Eka Permana; Daud Elia Leander
Jurnal Teknologi Informasi dan Komunikasi Vol 19 No 1 (2026): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v19i1.395

Abstract

The increasing use of smartphones necessitates rational decision-making about device upgrades. Many users upgrade without considering the actual device condition and usage requirements. This study aims to develop an artificial intelligence-based recommendation system to objectively determine smartphone upgrade decisions. The method used is the C4.5 algorithm for classification based on device specifications and usage patterns. The dataset consists of 100 records, including 80 for training and 20 for testing. The results show that the system successfully generates a representative decision tree model. Performance evaluation using a confusion matrix yields an accuracy of 95.00 percent, categorized as excellent. The system is also integrated with AI Gemini to generate narrative explanations from classification results, improving interpretability. The contribution lies in integrating classification algorithms with generative models to produce accurate and informative recommendations. This system provides a practical solution for users to efficiently determine smartphone upgrade needs.
Implementasi Sistem Monitoring PPPoE Berbasis Telegram Bot API Menggunakan Fitur Netwatch pada Router Mikrotik Kodar Udoyono; Mela Puspita Sari; Eka Permana; Setia Aji; Daud Elia Leander; Anderias Eko Wijaya; Dicky Iskandar Sobari
Jurnal Teknologi Informasi dan Komunikasi Vol 19 No 2 (2026): Oktober
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v19i2.456

Abstract

Internet Service Provider (ISP) service availability is affected by how quickly operators detect changes in customer connectivity. At Erlangga Network, monitoring that previously relied on manual inspection could delay incident handling. This study implements a Point-to-Point Protocol over Ethernet (PPPoE) session monitoring system based on the Telegram Bot API and the Netwatch feature on a MikroTik router. The method comprises requirements analysis, PPP Profile event-handler design, Netwatch and Telegram Bot API configuration, black-box functional testing, and packet analysis using Wireshark. During the On Up event, the system obtains the username and Remote IP, sends a notification, and registers the address in Netwatch. During the On Down event, the system sends a disconnection notification and removes the related monitoring entry. The results show that all functional scenarios were successful. Performance testing recorded an ICMP delay of 3.18 ms, jitter of 1.12 ms, zero packet loss under normal conditions, and notification latency of 1.40–1.80 seconds. The implementation automates Netwatch target management according to the PPPoE session lifecycle and provides early warnings through the technical team's mobile devices.