Pujianti, Ninit
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ANALISIS IMPLEMENTASI DECISION SUPPORT SYSTEM (DSS) UNTUK PENGAMBILAN KEPUTUSAN DI INSTITUSI PENDIDIKAN Yulita, Peni; Pujianti, Ninit; M, Sufyarma; Irsyad, Irsyad
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 10 No. 4 (2025): December (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jkps.v10i4.1157

Abstract

A Decision Support System (DSS) is a computer-based system that supports decision-making by integrating data, information, and analytical models. The implementation of DSS is increasing in educational institutions due to the complexity of educational management, which demands precision, speed, and accuracy in decision-making. This study uses a literature review method by comprehensively analysing a number of scientific articles, books, research reports, and international publications from the last 10 years. The main focus of the study is to analyse the application of DSS in educational institutions, its benefits in supporting strategic decisions, implementation challenges, and its implications for educational governance. The results show that DSS can improve managerial efficiency, the quality of educational services, academic data management, budget planning, scheduling, and support data-based policies. However, technical challenges such as a lack of user competence, minimal digital infrastructure, and data integration are major obstacles to DSS implementation. This study concludes that the successful implementation of DSS requires technological readiness, human resource competency, policy support, and strong data governance.
PEMANFAATAN LEARNING ANALYTICS SEBAGAI ALAT PENGAMBILAN KEPUTUSAN STRATEGIS DI SEKOLAH DASAR: PERAN KEPEMIMPINAN DIGITAL KEPALA SEKOLAH Pujianti, Ninit; Saleh, Rahmi; G, Nurhizrah; Rusdinal, Rusdinal; Nellitawati, Nellitawati
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 10 No. 4 (2025): December (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jkps.v10i4.1220

Abstract

Every student activity—from diagnostic assessments and daily reflections to project assignments and interactions with learning videos—is recorded automatically and displayed graphically and with risk predictions via the PMM dashboard. The potential for this data to support strategic decision-making at the school level is significant, yet a national survey shows that most elementary schools still use this data solely for report card administration and reporting to the education office. This study explores the utilization of learning analytics from the Merdeka Mengajar Platform (PMM) as a strategic decision-making tool in elementary schools, focusing on the role of the principal's digital leadership. Using a qualitative case study method, data were collected through interviews (n=10), PMM dashboard analysis, and three-month observation at SD Negeri 21 Simpang Rumbio, Kota Solok, West Sumatra (July–September 2025). Findings reveal five key applications: early risk identification, differentiated learning groups, flexible scheduling, teacher development, and parent reporting. The principal's digital leadership increased utilization from 24 % (2023) to 89 % (2025) through vision, infrastructure, and data culture. This contributes practical insights for basic education in developing countries, recommending principal training and data literacy programs.
Efektivitas Sistem Rekrutmen Online dalam Efisiensi Proses Seleksi Hasanah, Aulia; Pujianti, Ninit; Salsabila, Irsa; Gistituati, Nurhizrah; Anisah, Anisah; Achyar, Novriyanti
JGK (Jurnal Guru Kita) Vol. 10 No. 1: Desember 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jgk.v10i1.70915

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas sistem rekrutmen online dalam meningkatkan efisiensi proses seleksi karyawan, ditinjau dari aspek waktu, pengelolaan data pelamar, kualitas kandidat, dan pengalaman pelamar. Penelitian menggunakan pendekatan kuantitatif deskriptif. Subjek penelitian terdiri atas 50 manajer Human Resource Development (HRD) dan 100 pelamar kerja yang terlibat dalam proses rekrutmen online pada beberapa Perusahaan XYZ di Sumatera Barat. Pengambilan sampel dilakukan secara purposive dengan kriteria perusahaan yang telah menggunakan sistem rekrutmen online minimal satu tahun dan pelamar yang mengikuti seleksi dalam enam bulan terakhir. Teknik pengumpulan data meliputi penyebaran kuesioner tertutup dan terbuka, wawancara singkat untuk klarifikasi, serta dokumentasi berupa laporan proses seleksi dan biaya rekrutmen. Analisis data dilakukan menggunakan statistik deskriptif untuk data kuantitatif dan analisis konten untuk data kualitatif. Hasil penelitian menunjukkan bahwa sistem rekrutmen online mampu mempercepat waktu proses seleksi, mempermudah dan mengefektifkan pengelolaan data pelamar, meningkatkan kesesuaian dan kualitas kandidat, serta memberikan pengalaman seleksi yang lebih baik bagi pelamar. Kesimpulannya, sistem rekrutmen online terbukti efektif sebagai sarana seleksi karyawan yang efisien, terstruktur, dan profesional.