Stepwise iterative maximum likelihood clustering based on Kompetisi Sains Madrasah’ scores for identifying quality of junior high school grading distribution

Kusaeri, Kusaeri and Hastuti, Nanik Puji and Mustofa, Ali and Fauzi, Ahmad and Asyhar, Ahmad Hanif and Novitasari, Dian Candra Rini and Rolliawati, Dwi and Ulya, Zakiyatul and Yusuf, Ahmad and Ulinnuha, Nurissaidah and Wahyudi, Noor (2020) Stepwise iterative maximum likelihood clustering based on Kompetisi Sains Madrasah’ scores for identifying quality of junior high school grading distribution. In: Smart Trends in Computing and Communications: Proceedings of SmartCom 2020.

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Abstract

Kompetisi Sains Madrasah (KSM) is a science competition organized by the Ministry of Religious Affairs Indonesia. KSM scores can help to determine the quality distribution of students based on KSM data. Clustering is a method that can group data based on the similarity of data. One method of student clustering that has never been done is Stepwise Iterative Maximum Likelihood. SIML does clustering based on the average value and standard deviation of each cluster. SIML grouping is done several times by creating several different clusters. The best grouping experimental results are in the number of clusters 3. Cluster data is divided into 3 groups consisting of very good, good, and fair students. Silhouette values indicate the best grouping using 3 clusters. The silhouette value is 0.423745 for natural sciences subject data. Social sciences data has a silhouette value of 0.415654, and a silhouette value of 0.487071 for mathematics subjects. Three silhouette values are the best silhouette values when compared to other experiments.

Item Type: Conference or Workshop Item (Paper)
Additional Information: https://link.springer.com/chapter/10.1007/978-981-15-5224-3_21
Creators:
Creators
Email
NIDN
Kusaeri, Kusaeri
kusaeri@uinsby.ac.id
-
Hastuti, Nanik Puji
-
-
Mustofa, Ali
ali_mustofa76@yahoo.co.id
2025127601
Fauzi, Ahmad
ahmad.fauzi@uinsby.ac.id
-
Asyhar, Ahmad Hanif
hanif@uinsby.ac.id
-
Novitasari, Dian Candra Rini
diancrini@uinsby.ac.id
-
Rolliawati, Dwi
dwi-roll@uinsby.ac.id
-
Ulya, Zakiyatul
ulyaelzakiya@gmail.com
-
Yusuf, Ahmad
ahmadyusuf@uinsby.ac.id
-
Ulinnuha, Nurissaidah
nuris.ulinnuha@uinsby.ac.id
-
Wahyudi, Noor
n.wahyudi@uinsby.ac.id
-
Uncontrolled Keywords: SIML; KSM; clustering; madrasah; science
Subjects: 13 EDUCATION > 1301 Education Systems > 130199 Education systems not elsewhere classified
Divisions: Fakultas Tarbiyah dan Keguruan > Manajemen Pendidikan Islam
Depositing User: Abdun Nashir
Date Deposited: 29 Dec 2021 17:06
Last Modified: 29 Dec 2021 17:06
URI: http://repository.uinsby.ac.id/id/eprint/1924

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