ANALISIS POLA PELANGGARAN TATA TERTIB KEGIATAN BAHASA SANTRI DI PESANTREN TAHFIZ AZHAR CENTRE MENGGUNAKAN ASSOCIATION RULE (APRIORI) BERBASIS RAPIDMINER

AULIA AGUSTIN, NPM 2209500178 (2026) ANALISIS POLA PELANGGARAN TATA TERTIB KEGIATAN BAHASA SANTRI DI PESANTREN TAHFIZ AZHAR CENTRE MENGGUNAKAN ASSOCIATION RULE (APRIORI) BERBASIS RAPIDMINER. Skripsi thesis, Universitas Labuhanbatu.

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Abstract

Pelanggaran tata tertib kegiatan bahasa santri di Pesantren Tahfiz Azhar Centre masih sering terjadi, seperti tidak menggunakan bahasa resmi, tidak mengikuti kegiatan, serta kurangnya partisipasi aktif. Selama ini, data pelanggaran hanya dicatat secara manual sehingga belum dimanfaatkan secara optimal untuk menemukan pola yang dapat mendukung pengambilan keputusan dalam pembinaan disiplin santri.Penelitian ini menggunakan pendekatan kuantitatif dengan teknik data mining melalui metode Association Rule menggunakan algoritma Apriori. Data yang digunakan berasal dari catatan pelanggaran santri yang telah melalui tahapan seleksi, pembersihan, dan transformasi data. Proses analisis dilakukan dengan menentukan nilai minimum support dan confidence untuk menghasilkan aturan asosiasi. Pengolahan data dilakukan menggunakan perangkat lunak RapidMiner guna mempermudah proses analisis dan visualisasi pola. Hasil penelitian menunjukkan bahwa terdapat pola keterkaitan antar jenis pelanggaran yang sering terjadi secara bersamaan. Kombinasi pelanggaran dominan ditemukan pada santri yang tidak mengikuti kegiatan bahasa dan tidak menggunakan bahasa resmi. Selain itu, pola pelanggaran cenderung berulang pada kelompok tertentu. Temuan ini memberikan informasi penting bagi pengelola pesantren dalam merancang strategi pembinaan yang lebih efektif, terarah, dan berbasis data. Kata kunci: Data Mining, Apriori, Association Rule, Pola Pelanggaran, RapidMiner ============================================================================================ Violations of language activity regulations among students at Tahfiz Azhar Centre Islamic Boarding School still occur frequently, such as not using the designated official language, not participating in language activities, and showing low levels of active engagement. So far, violation data has only been recorded manually and has not been optimally utilized to identify patterns that could support decision making in improving student discipline. This study employs a quantitative approach using data mining techniques through the Association Rule method with the Apriori algorithm. The data used were obtained from student violation records that had undergone selection, cleaning, and transformation processes. The analysis was conducted by determining minimum support and confidence values to generate association rules. Data processing was carried out using RapidMiner software to facilitate analysis and pattern visualization. The results indicate the existence of relationships among types of violations that frequently occur simultaneously. The dominant pattern shows that students who do not participate in language activities also tend not to use the official language. In addition, violation patterns tend to recur within certain groups. These findings provide valuable insights for boarding school administrators in designing more effective, targeted, and data-driven disciplinary strategies. Keywords: Data Mining, Apriori, Association Rule, Violation Patterns, RapidMiner

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Data Mining, Apriori, Association Rule, Pola Pelanggaran, RapidMiner==============Data Mining, Apriori, Association Rule, Violation Patterns, RapidMiner
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:	Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	11 May 2026 04:05
Last Modified:	11 May 2026 04:05
URI:	http://repository.ulb.ac.id/id/eprint/2258

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