Stepwise Iterative Maximum Likelihood Clustering Based on Kompetisi Sains Madrasah’ Scores for Identifying Quality of Junior High School Grading Distribution

Kusaeri, Kusaeri; Hastuti, Nanik Puji; Musthofa, Ali; Asyhar, Ahmad Hanif; Novitasari, Dian Candra Rini; Rolliawati, Dwi; Ulya, Zakiyatul; Yusuf, Ahmad; Ulinnuha, Nurissaidah; Wahyudi, Noor

doi:10.1007/978-981-15-5224-3_21

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…Hasil dari Silhouette mempunya interval -1 sampau dengan 1. Nilai -1 menunjukkan hasil clustering yang jelek dan nilai 1 menunjuukan hasil clustering yang baik [12]. Dengan menggunakan tabel Kaufman dan Rousseeuw akan diketahui predikat Struktur dari klaster yang dihasilkan [13].…”

Section: Pemrosesan Awalunclassified

Educational Data Clustering Menggunakan K-Means pada Seleksi Penerimaan Peserta Didik Baru Madrasah Aliyah Negeri Unggulan

Wahyudi

Ardilla²,

Hastuti³

2022

SYSTEMIC

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The National Students admissions (SNPDB) for Madrasah Aliyah is managed by the Directorate of Madrasah Curriculum, Facilities, Institutions and Student Affairs. It is essential for the Directorate and Madrasah to explore patterns and knowledge from admission data in formulating policies and programs from to MAN. Educational Data Clustering (EDC) is a data mining method that is implemented in the education area. K-means is applied to group students based on the results of learning potential and academic potential tests that will be used for development program and student admission policies at MAN-IC. The best results from the experiments tested with Silhouette dividing the data into 2 clusters are excellent and good. The Silhouete value indicates the cluster structure in the medium predicate.. The results present the distribution of clusters in 23 MAN-IC, distribution of personality profiles of prospective students, as well as recommendations for conducting tests in Madrasah.

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Section: Pemrosesan Awalunclassified

Educational Data Clustering Menggunakan K-Means pada Seleksi Penerimaan Peserta Didik Baru Madrasah Aliyah Negeri Unggulan

Wahyudi

Ardilla²,

Hastuti³

2022

SYSTEMIC

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“…The first variable that was hypothesized to be a factor that also influenced the results was the type of origin of educational institutions [46]. Research on the quality of madrasas has also been carried out by previous studies [47]- [50] in term of Kompetisi Sains Madrasah (Madrasa Sciences Competition). There were four types of origin of schools, namely Public MTs, Private MTs, Public JHS, and Private JHS.…”

Section: Evidence Of Relationship Between Participant's Response and ...mentioning

confidence: 99%

Detection of potential errors in measurement results of madrasa admission instruments in Indonesia

Yusuf

Kusaeri

Hidayatullah

et al. 2021

IJERE

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<span lang="EN-US">Madrasa (Islamic boarding school) in Indonesia have a strategic role in character building. At present madrasa education is still considered second class education. Besides, to improve the quality of madrasas can be started by improving the quality of the student national admission to all madrasas in Indonesia. This study aimed to trace the potential errors in the measurement results of Students National Admission of Madrasah Aliyah Negeri (SNPDB MAN-IC) 2020. Tracing was carried out on two aspects: i) Equality between test sets used based on evidence of test responses; and ii) Further tests on equality between question sets based on evidence of relationship between variables, taking into account the origin of the participating schools (MTs/JHS) and the origin of the participating regions (West, Central and East of Indonesia). This study involved 13,115 participants in 23 MAN-ICs throughout Indonesia in 2020. The materials tested comprised learning potential and academic ability (Mathematics, Natural Sciences, Social Studies, English, Arabic, and Islamic Religious Education). The study used achievement test with mathematics as a sample of test subjects. Based on the test response evidence, it was found that seven of the 15 questions were thought to have an indication of inequality between item sets. The results of tracing the evidence between variables indicated that it was the participants' origin of institutions that influenced the inequality between item sets. On the other hand, regional origin did not affect the inequality between item sets because the majority of participants came from the western region of Indonesia.</span>

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Stepwise Iterative Maximum Likelihood Clustering Based on Kompetisi Sains Madrasah’ Scores for Identifying Quality of Junior High School Grading Distribution

Cited by 2 publications

References 14 publications

Educational Data Clustering Menggunakan K-Means pada Seleksi Penerimaan Peserta Didik Baru Madrasah Aliyah Negeri Unggulan

Educational Data Clustering Menggunakan K-Means pada Seleksi Penerimaan Peserta Didik Baru Madrasah Aliyah Negeri Unggulan

Detection of potential errors in measurement results of madrasa admission instruments in Indonesia

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