Research Article
Scoring System and K-Means Algorithm for Mutaba'ah Yaumiyah Activity
@INPROCEEDINGS{10.4108/eai.11-7-2019.2297566, author={Ichsan Taufik and Nopianti Sa’adah and Neng Lisda Yuni Suparna and Cecep Nurul Alam and Popon Dauni}, title={Scoring System and K-Means Algorithm for Mutaba'ah Yaumiyah Activity}, proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.}, publisher={EAI}, proceedings_a={ICONISTECH}, year={2021}, month={1}, keywords={mutaba’ah yaumiyah santri siap guna scoring system k-means}, doi={10.4108/eai.11-7-2019.2297566} }
- Ichsan Taufik
Nopianti Sa’adah
Neng Lisda Yuni Suparna
Cecep Nurul Alam
Popon Dauni
Year: 2021
Scoring System and K-Means Algorithm for Mutaba'ah Yaumiyah Activity
ICONISTECH
EAI
DOI: 10.4108/eai.11-7-2019.2297566
Abstract
Mutaba’ah yaumiyah is a method of evaluating for daily religious activity. The method is usually implemented in Islamic boarding schools or integrated Islamic schools, one of them is the Daarut Tauhiid Islamic Unit Santri Siap Guna boarding school. Santri Siap Guna requires students to record the religious activities that has been done on a sheet called mutaba'ah yaumiyah. The sheet is then submitted to the accompanying trainer to have them examined one by one just before the training begins. This methods that have existed so far are still facing several obstacles including student who often forget to record the activities, forget to keep mutaba'ah yaumiyah sheets, or even losing it. Another obstacle is coming from the trainer’sside especially in the control process. The large number of student’s and busy schedule of the training itself hinder the examination to be carried out optimally. Therefore, this study utilizes an Android smartphone by implementing the Scoring System method to assess student’s activities and the K-Means algorithm for group it on a weekly basis. By using 50 students data, the Scoring System method is able to carry out the assessment process with an accuracy of 100% while the K-Means algorithm is able to group student’s religious activity data on weekly basis with an accuracy rate of 48%.