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Pemanfaatan Aplikasi Google Earth Pro Oleh Tim Kesatria Dalam Meningkatkan Kualitas   Pelayanan Publik Di Kantor Camat Padang Utara Dian Permata Sari; Huriyatul Husna; Marta Uli Hutagaol; Rachel Nandisya; Yulia Hanoselina
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 6 (2025): Desember 2025 - Januari 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Perkembangan teknologi digital mendorong transformasi pelayanan publik menjadi lebih efisien, transparan, dan responsif, namun di tingkat kecamatan seperti Kantor Camat Padang Utara masih menghadapi kendala pengelolaan data spasial yang menyebabkan lambatnya respons terhadap isu ketertiban umum. Penelitian ini bertujuan mengkaji pemanfaatan aplikasi Google Earth Pro oleh Tim Kesatria untuk meningkatkan kualitas pelayanan publik. Menggunakan pendekatan kualitatif studi kasus, data dikumpul melalui wawancara mendalam dengan Kepala Tim Kesatria Harvi Dasnoer dan anggota tim, observasi proses pemetaan "Kumpul Da Trantib", serta analisis dokumentasi laporan kegiatan 2025. Hasil menunjukkan Google Earth Pro mempercepat pengumpulan data spasial real-time, meningkatkan transparansi via bukti visual, dan memperkuat akuntabilitas hingga 98% verifikasi laporan, sehingga mengurangi pelanggaran ketertiban umum dan mendukung SPBE di tingkat lokal
Efektivitas Pembelajaran Berbantuan AI terhadap Hasil Belajar Siswa pada Materi Keamanan Jaringan di SMKN 1 Purwakarta Aura Roschalina Putri; Dian Permata Sari
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 5 No. 1 (2026): Januari 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v5i1.6488

Abstract

This study investigated the comparative effectiveness of Artificial Intelligence (AI)- assisted instruction versus conventional teaching methods in enhancing students' cognitive learning outcomes regarding Network Security material. The research was conducted at State Vocational High School (SMK) 1 Purwakarta. A quantitative quasi-experimental design, specifically the Nonequivalent Control Group Design, was employed, involving 70 eleventh-grade students from the TJKT (Computer and Network Engineering) department. The research instruments comprised pretest and posttest cognitive tests. Data analysis was performed using the non-parametric Wilcoxon Signed-Rank Test to observe changes within groups, and an Independent Samples t-test on the Delta scores to compare outcomes between groups. The findings indicate that the experimental group, which received the AI-assisted intervention, experiences a substantially higher mean improvement in learning outcomes (M = 24.46) compared to the control group (M= 6.11). Furthermore, the Wilcoxon test confirms a significant enhancement in the experimental group, whereas the control group shows no statistically significant difference. The comparative analysis of Delta scores reveals a significant difference between the two groups (p < 0.05), consequently leading to the rejection of the null hypothesis (H0). These results explicitly demonstrate that the implementation of AI-assisted learning is more effective in facilitating the enhancement of students' cognitive competence in Network Security than conventional teaching methodologies.