Patterns Thematic Tracing of the Hadith of the Prophet Muhammad SAW Using the FP-Growth Algorithm and ECLAT

Nurbojatmiko Nurbojatmiko, Eri Rustamaji, Abdul Wadud, Abdul Mutholib
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Abstract

The limited ability to memorize, understand Arabic, and access sources are obstacles to understanding Islamic knowledge, especially hadith. Searching for access to sources to obtain hadiths that are in accordance with the theme and the interrelationships between themes improves the quality of the preachers towards religious understanding. This study investigates how to automate the thematic tracking pattern of Prophet Muhammad's hadith using the FP-Growth (Frequent Pattern-Growth) and ECLAT algorithms. The research was conducted using qualitative and quantitative approaches. The next step involves creating a prototype using the dataset development framework. The result of this study is a prototype of hadith tracing using the FP-Growth algorithm with the prophet's hadith dataset based on the Bulughul Maram book. 
使用 FP-Growth 算法和 ECLAT 对先知穆罕默德圣训进行模式专题追踪
背诵、理解阿拉伯语和获取资料的能力有限是理解伊斯兰知识,特别是圣训的障碍。搜索资料来源以获取符合主题和主题间相互关系的圣训,可以提高传道者对宗教理解的质量。本研究探讨了如何使用 FP-Growth(频繁模式-增长)和 ECLAT 算法自动追踪先知穆罕默德圣训的主题模式。研究采用定性和定量方法进行。下一步是使用数据集开发框架创建原型。本研究的成果是使用 FP-Growth 算法和基于 Bulughul Maram 书籍的先知圣训数据集进行圣训追踪的原型。
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