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A Chatbot-Based Expert System for Food Crop Disease Diagnosis Saniyatul Mawaddah; Muhammad Turmudzi; Dewi Wulansari; Agus Wibowo
Jurnal Teknologi Informasi dan Terapan Vol 13 No 1 (2026): June
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v13i1.492

Abstract

The agricultural sector is very important for Indonesia's food security, however, plant diseases pose a serious threat that can significantly reduce crop yields. The limited availability of agricultural experts often hinders farmers from obtaining rapid and accurate diagnoses. To address this issue, this research develops a chatbot-based expert system using the forward chaining method to assist farmers in conducting self-diagnosis. This method works by drawing conclusions from the symptoms entered, while the chatbot provides real-time interactions that are easy to use. System testing shows good performance, black box testing ensures that all features operate without errors, with a diagnostic accuracy of 87.5 percent, as 42 out of 48 cases correspond with expert assessments. Furthermore, usability testing with 52 respondents yields a System Usability Scale score of 79.18, categorized as good. The results of this research indicate that the developed system is accurate, efficient, and practical, with the potential to serve as a widely applicable solution to help
Mitigating Distributed Denial of Service Attacks on IoT Systems Using Gemstone Architecture Mohammad Robihul Mufid; Yogi Pratama; Arna Fariza; Saniyatul Mawaddah; Much Chafid; Agus Wibowo
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.460

Abstract

One of the problems in the Internet of Things (IoT) system is the Distributed Denial of Service (DDoS) attack on the information technology infrastructure on the Internet network. This is because the IoT device system does not have a portal gateway configuration that is capable of providing the necessary security and privacy protection. In this study, the focus is on the mechanism for reducing the impact of DDoS attacks of the http flood type on the layer framework using PHP Swoole. PHP Swoole utilizes event-driven which provides several features to access the transport layer in onConnect so that it can be used to implement initial security such as access control lists, connection concurrency management, and optimizing server performance. The methodology used is to develop a TCP connection filtering algorithm by implementing a simple queue system by accepting 67% of connections to be forwarded to the next layer and 33% of connections will be queued for a timeout of 2 seconds. The results of this study show that the server can minimize the impact of DDoS and handle traffic specifically for http requests with an average latency of 871.8ms.