PENGAMBILAN KEPUTUSAN BERBASIS DATA PADA INTEGRASI JURNAL KELAS, ABSENSI, DAN DASHBOARD PERILAKU (JUPE) DI MAN 9 JAKARTA
DOI:
https://doi.org/10.53800/a580zg95Keywords:
data-driven decision making, integrated class journal, attendance, behavior dashboard, restorative practice, jurnal kelas terintegrasi, kehadiran periodik, dashboard perilaku, praktik restoratifAbstract
Abstract
The management of daily student data in madrasahs is often fragmented and handled manually, hindering rapid responses to on-the-ground issues. There is an operational gap: existing systems have not been able to integrate academic and behavioral data to generate real-time strategic insights. To bridge this gap, this qualitative case study examines how the Integrated Class Journal, Attendance, and Behavior Dashboard (JUPE) facilitates Data-Driven Decision Making (DDDM) at MAN 9 Jakarta. Methodologically, this research applies a qualitative approach with a case study design. Data collection involved 16 informants through interviews, observations, and document studies, and the data were analyzed using a hybrid of thematic analysis and process tracing. The main finding is that decision-making consistently relies on three data streams: learning records, attendance trends, and behavioral profiles. This integration shortens response times, increases the perception of procedural justice, and enables restorative pathways tailored to root causes. There are three main drivers of this implementation's success: minimum evidentiary standards, micro-professional development, and user-centered dashboard design. This study contributes to the development of a DDDM operational model that integrates academic and behavioral data to align with restorative practices.
Abstrak
Pengelolaan data harian siswa di lingkungan madrasah sering kali masih terfragmentasi dan dikelola secara manual, sehingga menghambat respons yang cepat terhadap kendala di lapangan. Terdapat kesenjangan operasional di mana sistem yang ada belum mampu mengintegrasikan data akademik dan perilaku menjadi wawasan strategis secara real-time. Untuk menjembatani masalah tersebut, studi kasus kualitatif ini mengkaji bagaimana Dashboard Jurnal Kelas Terintegrasi, Kehadiran, dan Perilaku (JUPE) memfasilitasi Data-Driven Decision Making (DDDM) di MAN 9 Jakarta. Secara metodologis, penelitian ini menggunakan pendekatan kualitatif dengan desain studi kasus. Pengumpulan data melibatkan 16 informan melalui teknik wawancara, observasi, dan studi dokumen, yang kemudian dianalisis menggunakan analisis tematik hibrida dan penelusuran proses. Temuan menunjukkan bahwa proses pengambilan keputusan secara konsisten berpijak pada tiga aliran data: catatan pembelajaran, tren kehadiran, dan profil perilaku. Integrasi ini menghasilkan waktu respons yang lebih singkat serta meningkatkan persepsi keadilan prosedural. Jalur restoratif juga disesuaikan dengan akar masalah yang telah teridentifikasi. Terdapat tiga pendorong utama keberhasilan implementasi ini, yaitu standar bukti minimum, pengembangan profesional mikro, dan desain dashboard yang berpusat pada pengguna. Studi ini berkontribusi dalam penyediaan model operasional DDDM yang memadukan data akademik dan perilaku agar selaras dengan praktik restoratif.
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