Analysis Of Santri Cleanliness Violation Patterns Using Apriori Algorithm Approach At Salafiyah Syafi'iyah Boarding School

Islamic boarding schools (pondok pesantren) are religious-based educational institutions that emphasize not only Islamic teachings but also the development of character and student discipline, particularly in maintaining environmental cleanliness. However, managing cleanliness often poses a challenge due to low student awareness and the suboptimal implementation of sanitation systems. This study aims to identify behavioral patterns related to student cleanliness through a data mining approach utilizing the Apriori algorithm. This method enables the analysis of students’ habitual behaviors using collected data to uncover hidden patterns related to cleanliness violations. The research was conducted at Salafiyah Syafi'iyah Sukorejo Islamic Boarding School and provides valuable insights for pesantren administrators to design more effective, data-driven cleanliness management strategies. The findings are also expected to enhance student awareness of cleanliness as an essential aspect of Islamic values. Overall, the results serve as a foundation for strategic decision-making to foster a healthy, clean, and supportive environment conducive to optimal learning in Islamic boarding schools.

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Publication Details

Journal
Jurnal Riset Informatika
Published
2025-09-12
DOI
https://doi.org/10.34288/jri.v7i4.393
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis Of Santri Cleanliness Violation Patterns Using Apriori Algorithm Approach At Salafiyah Syafi'iyah Boarding School

Zaehol Fatah, Akhlis Munazilin, Ilham Rafi Jawara
Jurnal Riset Informatika
Data Mining and Machine Learning Applications
article

Analysis Of Santri Cleanliness Violation Patterns Using Apriori Algorithm Approach At Salafiyah Syafi'iyah Boarding School

Zaehol Fatah, Akhlis Munazilin, Ilham Rafi Jawara
article en

Abstract

Islamic boarding schools (pondok pesantren) are religious-based educational institutions that emphasize not only Islamic teachings but also the development of character and student discipline, particularly in maintaining environmental cleanliness. However, managing cleanliness often poses a challenge due to low student awareness and the suboptimal implementation of sanitation systems. This study aims to identify behavioral patterns related to student cleanliness through a data mining approach utilizing the Apriori algorithm. This method enables the analysis of students’ habitual behaviors using collected data to uncover hidden patterns related to cleanliness violations. The research was conducted at Salafiyah Syafi'iyah Sukorejo Islamic Boarding School and provides valuable insights for pesantren administrators to design more effective, data-driven cleanliness management strategies. The findings are also expected to enhance student awareness of cleanliness as an essential aspect of Islamic values. Overall, the results serve as a foundation for strategic decision-making to foster a healthy, clean, and supportive environment conducive to optimal learning in Islamic boarding schools.

Jurnal Riset InformatikaVol. 7(4)
Universitas Ibrahimy (ID)
Openalex Percentile: Top 63%
Data Mining and Machine Learning Applications
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Analysis Of Santri Cleanliness Violation Patterns Using Apriori Algorithm Approach At Salafiyah Syafi'iyah Boarding School — Zaehol Fatah, Akhlis Munazilin, et al. · Jurnal Riset Informatika (2025) | TGRS Research Map | TGRS