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PENINGKATAN KAPASITAS MAHASISWA DALAM BIDANG AI DAN KEAMANAN SIBER UNTUK MENCEGAH ANCAMAN DI DUNIA DIGITAL Ismail Setiawan; Surya Kusuma, Ridho; Muhammad Fadhil, Taqy; Nafisah Miftahul Jannah, Ilma
Empowerment Journal Vol. 5 No. 2 (2025): September
Publisher : Universitas 'Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/empowerment.v5i2.2121

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas mahasiswa di bidang kecerdasan buatan (AI) dan keamanan siber melalui pelatihan dan workshop yang dirancang berbasis Standar Kompetensi Kerja Nasional Indonesia (SKKNI) No. 55 Tahun 2015. Program ini menyasar mahasiswa Program Studi Sistem Informasi dan Teknologi Informasi dari mitra, yang masih memiliki keterbatasan dalam pengetahuan serta keterampilan praktis terkait ancaman digital. Metode pelaksanaan menggabungkan pelatihan langsung, pembelajaran berbasis proyek, dan e-learning mandiri. Hasil evaluasi menunjukkan peningkatan signifikan pada skor pre-test dan post-test peserta, penyelesaian proyek mini berbasis unit kompetensi, serta kepuasan tinggi terhadap pelaksanaan kegiatan. Selain dampak langsung, kegiatan ini juga mendorong terbentuknya komunitas belajar keamanan siber di kampus mitra dan peningkatan kesadaran digital peserta. Kendala teknis seperti keterbatasan perangkat dan pemahaman awal diatasi melalui pendekatan bertahap dan alternatif media pembelajaran. Program ini terbukti efektif dalam memperkuat kesiapan mahasiswa menghadapi tantangan keamanan digital dan berpotensi dikembangkan lebih lanjut secara berkelanjutan.
Perancangan Sistem Drone Pertanian Berbasis Tata Kelola TI dengan Pendekatan TOGAF Pramurwitasari, Anugrahaningtyas; Khoiru Nisa, Maulida; Malikul Rahman, Sigmawan; Muhammad Fadhil, Taqy; Najich, M. Narjun
Jurnal Riset Sistem dan Teknologi Informasi Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2025): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)
Publisher : Universitas Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/restia.v4i1.2072

Abstract

Agricultural modernization in Indonesia faces challenges such as labor constraints, fertilizer efficiency, and low adoption of information systems. Agricultural drone technology offers innovative solutions, but structured implementation based on IT governance remains limited. This study used a descriptive qualitative approach to design a drone system based on the TOGAF ADM enterprise architecture. Data were collected through observations, semi-structured interviews, technical documentation, and a survey of 25 farmers in Andong District, Boyolali Regency. The system was designed by mapping the business architecture, application, data, and technology domains, and validated through surveys and expert discussion forums. The results showed that the modular and integrated drone system aligned with business objectives; the survey revealed that 80% of farmers experienced difficulties with manual fertilization, 88% were interested in using drones, and the average digital readiness score was 3.24/5. The drone is equipped with GPS, NDVI sensors, fertilizer tanks, a dashboard, and a mobile app for control and monitoring. The TOGAF approach has been proven to provide a comprehensive structure, supporting technology integration, IT governance, and sustainable implementation, making this system effective in improving efficiency, fertilization accuracy, and readiness for digital technology adoption.