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All Journal Faktor Exacta IKRA-ITH Informatika : Jurnal Komputer dan Informatika MONSU'ANI TANO Jurnal Pengabdian Masyarakat Syntax Idea Journal of Artificial Intelligence and Innovative Applications (JOAIIA) ASAWIKA: Media Sosialisasi Abdimas Widya Karya Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) jurnal syntax admiration JUTECH : Journal Education and Technology OKTAL : Jurnal Ilmu Komputer dan Sains
I Made Sugi Ardana
Universitas Pamulang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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ANALISIS PERAN TEKNOLOGI INFORMASI DAN KECERDASAN BUATAN DALAM MEMPERSIAPKAN SISWA SMK PKP 1 JAKARTA MENGHADAPI DUNIA KERJA I Made Sugi Ardana; Jiyan Suhada; Dian Tri Yuniarti; Mochammad Rizky
JUTECH : Journal Education and Technology Vol 6, No 2 (2025): JUTECH DESEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v6i2.5045

Abstract

Penelitian ini bertujuan untuk menganalisis sejauh mana pemanfaatan teknologi informasi dan pemahaman kecerdasan buatan (AI) berkontribusi terhadap kesiapan siswa SMK PKP 1 Jakarta dalam menghadapi dunia kerja. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan teknik survei terhadap siswa jurusan Teknik Komputer dan Jaringan (TKJ). Instrumen yang digunakan berupa kuesioner tertutup dan terbuka. Hasil pengolahan data menunjukkan bahwa 76% responden menyatakan penggunaan teknologi informasi di sekolah membantu mereka memahami materi secara lebih efisien. Sebanyak 64% siswa menyatakan pernah menggunakan aplikasi berbasis AI, namun hanya 42% yang benar-benar memahami prinsip dasarnya. Uji korelasi Pearson menunjukkan nilai r = 0,712 (p < 0,05) antara pemahaman AI dengan kesiapan menghadapi dunia kerja, yang menunjukkan hubungan positif kuat dan signifikan. Analisis regresi sederhana juga menunjukkan bahwa variabel TI dan AI berkontribusi sebesar 52,6% terhadap variabel kesiapan kerja. Hal ini menandakan bahwa semakin baik integrasi TI dan pemahaman AI dalam proses pembelajaran, semakin tinggi pula tingkat kesiapan siswa menghadapi tantangan profesional di era digital.
Penerapan RBAC pada Aplikasi WiFi Analyzer Android untuk Manajemen Akses PT Info Solusindo Data Utama Muhamad Fauzi; I Made Sugi Ardana
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7218

Abstract

This research discusses the implementation of the Role-Based Access Control (RBAC) method in an Android-based WiFi Analyzer application to enhance the security and efficiency of user access management in wireless network environments, addressing the difficulty technicians face in performing rapid network troubleshooting. The system was developed using the Scrum method and evaluated through Black Box Testing and User Acceptance Testing (UAT) involving 7 respondents across 4 evaluation indicators. RBAC was implemented to regulate access rights according to user roles (Developer, Admin, Subscriber), while the application's features include internet/intranet connection testing, signal strength analysis (RSSI), and best channel allocation recommendations. Black Box Testing results show that RBAC was 100% successful in dynamically restricting access rights based on user roles. UAT results, based on 70 total responses, show 92.9% positive ratings (61.4% Strongly Agree, 31.4% Agree), while 7.1% rated Disagree on indicators related to data reading speed and visualization display, with no Strongly Disagree responses recorded. These results demonstrate that the application effectively helps Engineers On Site analyze problems and adjust WiFi channels quickly and safely, although certain visualization aspects still require further refinement.
Co-Authors Dian Tri Yuniarti Fuad Azril Syamil Bayasef Jiyan Suhada m samsul aripin Mochammad Rizky Muhamad Fauzi Najmi Rahmi Ramdhani, Ichsan Tomi Hidayat, Tomi Wahyu Setiawan Yan Mitha Djaksana