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


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. 


Pattern thematic, hadith, FP-growth, ECLAT, optimization, search

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M. Azami, M., Memahami Ilmu Hadis. Jakarta: Lentera, 1977.

Y. Qardhawi, Bagaimana Memahami Hadis Nabi SAW. Bandung: Karisma, 1993.

M. Z. Zainuddin, “Critizm Rationale of A. Hassan Bangil in Validity on Hadith,” J. Asian Sci. Res, vol. 4, no. 11, pp. 690–703, 2014.

D. Samuel, Penerapan Struktur FP-Tree dan Algoritma FP-Growth. Bandung: Institut Teknologi Bandung, 2008.

C. Borgelt, “Efficient Implementations of Apriori and Eclat,” in CEUR Workshop Proceedings 90, 2003.

W. Darmalaksana, “Rancang Bangun Aplikasi Pencarian Tematik pada Hadits Riwayat Imam Muslim,” Al-Ulum, vol. 18, no. 2, pp. 383–394, 2018.

I. Yahya and Farkhan, “Mapping The Themes And Patterns Of Hadith Manuscripts Writing In Indonesia,” J. SMaRT Stud. Masyarakat, Reli. dan Tradisi, vol. 5, no. 1, pp. 129–141, 2019.

A. Wahid and F. S. Wahyuni, “Efektifitas Pembelajaran Hadits Tematik Dengan Software Dan Aplikasi Shamela Library Di Madrasah Aliyah An-Nur Al-Huda Ngawonggo Tajinan Malang,” J. Mnemon., vol. 1, no. 1, pp. 43–49, 2019.

S. Fatimah, R. H. Lisalam, A. F. Kurniawan, and M. Millah, “Thematic Hadith Studies: Hadiths On Self-Healing And Their Implementation In The Contemporary Era,” Al-Bukhari J. Ilmu Hadis, vol. 6, no. 2, pp. 175–193, 2023.

S. R. M. Najib, N. A. Rahman, N. Kamal, and N. Alias, “Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification based on Sanad,” in MATEC Web of Conferences, 2017.

F. Harrag, “Text mining approach for knowledge extraction in Sahîh Al-Bukhari,” Comput. Human Behav., vol. 30, pp. 558–566, 2014.

M. Alkhatib, A. A. Mknem, and K. Shaalan, “A Rich Arabic WordNet Resource for Al-Hadith Al-Shareef,” Procedia Comput. Sci., vol. 117, pp. 101–110, 2017.

M. Zakariah, M. K. Khan, O. Tayan, and K. Salah, “Digital Quran Computing: Review, Classification, and Trend Analysis,” Arab. J. Sci. Eng., vol. 42, no. 8, pp. 1–26, 2017.

N. R. Ardani and N. Fitrina, “Sistem Rekomendasi Pemesanan Sparepart Dengan Algoritma FP-Growth (Studi Kasus PT. Rosalia Surakarta),” SEMNASTEKNOMEDIA ONLINE, vol. 4, no. 1, pp. 97–102, 2016.

M. J. Zaki, S. Parthasarathy, M. Ogihara, and W. Li, “New Algorithm s for Fast Discovery of Association Rules,” Newport Beach, 1997.

N. Arincy, Multidimensional association rules mining untuk data kebakaran hutan menggunakan algoritma fp-growth dan eclat. Bogor: Institut Pertanian Bogor, 2014.

M. J. Zaki, “Scalable algorithms for association mining,” IEEE Trans. Knowl. Data Eng., vol. 12, no. 3, pp. 372–390, 2000.

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