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All Journal Jurnal Sains Informatika Terapan (JSIT) Jurnal Pendidikan Terapan Bale Pengabdian: Journal Of Community Service (BPJCS)
Fikri Ramadan
Institut Pendidikan Dan Tekhnologi ‘Aisyiyah Riau, Indonesia
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Social Sciences Other

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Pengembangan Dashboard Interaktif Berbasis Big Data Akademik untuk Mendukung Pengambilan Keputusan Manajemen di Perguruan Tinggi Fauzan Fahmi; Fikri Ramadan; Hadi Yalman
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.1002

Abstract

Era transformasi digital di sektor pendidikan tinggi menekankan perlunya pengolahan data akademik yang adaptif untuk memfasilitasi pengambilan keputusan manajerial yang presisi, andal, dan didukung fakta empiris. Lonjakan volume data, keragaman format dari sistem akademik, keuangan, sumber daya manusia, serta mekanisme penjaminan mutu telah mengungkap keterbatasan pendekatan pengolahan konvensional yang lambat dan fragmentaris. Studi ini merancang serta memvalidasi dashboard interaktif berbasis big data akademik yang mengubah data mentah menjadi representasi visual strategis guna memperkuat proses decision-making di institusi perguruan tinggi. Metodologi research and development diterapkan secara bertahap, mencakup identifikasi kebutuhan pengguna akhir, konseptualisasi arsitektur data terintegrasi, pembangunan prototipe dashboard, serta pengujian komprehensif terhadap fungsionalitas dan penerimaan pengguna. Sumber data internal diekstrak, ditransformasi, dan dimuat melalui pipeline ETL ke gudang data sentral, menghasilkan visualisasi dinamis untuk indikator kinerja krusial seperti demografi mahasiswa, metrik dosen, pencapaian pembelajaran, serta dinamika kelulusan. Pengukuran efektivitas dilakukan via uji fungsi dan survei manajemen, menargetkan aspek usability, akurasi informasi, serta dampak terhadap efisiensi keputusan. Temuan utama mengindikasikan peningkatan substansial dalam pemahaman holistik kondisi akademik secara waktu nyata, akselerasi proses analitik strategis, serta minimisasi ketergantungan pada mekanisme pelaporan statis manual. Inovasi ini berkontribusi pada ekosistem sistem pendukung keputusan di ranah pendidikan tinggi melalui optimalisasi big data akademik dan teknik visualisasi adaptif, menawarkan blueprint praktis bagi perguruan tinggi lain dalam membangun governance data-centric.
Implementation of Deep Learning and Digital Literacy to Improve the Quality of Early Childhood Education Nopa Wilyanita; Swandra Rahayu; Fikri Ramadan; Nia Yelpa
Bale Pengabdian: Journal Of Community Service (BPJCS) Vol. 2 No. 1 (2026): Bale Pengabdian: Journal of Community Service (BPJCS)
Publisher : At Taawun Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65798/bpjcs.v2i1.46

Abstract

The quality of early childhood education at Mardhatilah Kindergarten remains low due to limited use of interactive technology and insufficient teacher understanding of innovative digital media. This community service project aims to enhance teachers’ instructional quality by integrating deep learning technology and digital literacy to create more adaptive and engaging learning environments. The study employed a Participatory Action Research (PAR) approach, consisting of diagnosis, participatory planning, action, observation, and reflection. Teachers actively participated in designing AI-based learning media, including visual–auditory object recognition supported by deep learning. The findings indicate a significant improvement in teachers’ digital competencies, particularly in operating AI-assisted learning tools. This advancement contributed to increased student engagement and improved comprehension through interactive AI-generated visualizations. Furthermore, the integration of deep learning with digital literacy enabled teachers to transform conventional teaching methods into more effective and relevant practices aligned with contemporary educational demands. In conclusion, the integration of deep learning and digital literacy through PAR effectively empowers early childhood educators to develop innovative, adaptive, and high-quality learning environments. The synergy between artificial intelligence and creative pedagogy is essential for sustainably improving early childhood education standards.  
The Use of Educational Robots and Pedagogical Deep Learning Approach to Enhance Critical Thinking in Early Childhood Education Nini Aryani; Nelti Rizka; Fikri Ramadan; Tommy Tanu Wijaya; Priska Novita
Jurnal Pendidikan Terapan Vol 4, No 4 September (2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v4i4.1399

Abstract

Purpose: This study aims to examine the implementation of Educational Robots using a Pedagogical Deep Learning Approach as a learning medium to foster critical thinking skills in early childhood education. Methods: This study employed a descriptive qualitative approach. Data were collected through observations and semi-structured interviews involving children aged 5–6 years. The data were analyzed using coding, category development, and thematic analysis to identify patterns and themes emerging from the learning process. Findings: The findings indicate that Educational Robots were implemented through learning activities emphasizing exploration, problem-solving, and collaborative play, in line with the principles of meaningful, mindful, and joyful learning. The results suggest that the use of Educational Robots facilitated children's critical thinking skills, as reflected in their ability to analyze shapes, make decisions, predict outcomes, identify errors, and revise construction strategies. In addition, increased engagement, collaboration, and curiosity were observed throughout the learning process. Research Implications: This study suggests that Educational Robots integrated with a Pedagogical Deep Learning Approach can facilitate meaningful and accessible learning experiences that support the development of critical thinking skills in early childhood. The findings also offer an innovative, affordable, and sustainable learning medium that can assist early childhood educators in implementing meaningful learning practices. Originality: The originality of this study lies in integrating Educational Robots constructed from recycled materials with a Pedagogical Deep Learning Approach to foster critical thinking skills in early childhood education. This study offers an innovative, affordable, sustainable, and contextually relevant learning medium to support the implementation of meaningful learning in Indonesian early childhood education settings.
Co-Authors Fauzan Fahmi Hadi Yalman Nelti Rizka Nia Yelpa Nini Aryani Nopa Wilyanita Priska Novita Swandra Rahayu Tommy Tanu Wijaya