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All Journal JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)
Yogiswara Dharma Putra
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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KLASIFIKASI PELANGGARAN UU ITE PADA TIKTOK MENGGUNAKAN ALGORITMA NAIVE BAYES Yogiswara Dharma Putra; I Putu Sugi Almantara; I Made Bagus Wahyu Mahendra; Ida Bagus Paalakaa RNB
Jurnal Teknologi Informasi dan Komputer Vol. 10 No. 2 (2024): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v10i2.3021

Abstract

Permasalahan serius yang muncul akibat perbuatan dilarang atau kejahatan dalampenggunaan teknologi informasi telah menjadi perhatian utama di beberapa negara.Meskipun media sosial seharusnya menjadi lingkungan virtual yang nyaman bagi semuaorang, kenyataannya banyak kasus pelanggaran hukum terjadi di dalamnya. UU ITE hadirsebagai upaya perlindungan bagi pengguna internet, meskipun proses menetapkan sanksiuntuk pelanggaran membutuhkan ahli dan memakan waktu yang cukup lama. Olehkarena itu, diperlukan pendekatan untuk mengotomatisasi klasifikasi pelanggaranberdasarkan pasal-pasal dalam UU ITE. Penelitian ini bertujuan untukmengklasifikasikan pelanggaran tersebut menggunakan algoritma Naive Bayes, denganstudi kasus terfokus pada analisis komentar di platform media sosial TikTok. Dalameksperimennya, penelitian ini mengelompokkan pelanggaran ke dalam lima kategoriutama: pornografi, pencemaran nama baik, ujaran kebencian, teror online, dancyberbullying. Hasil dari percobaan ini menunjukkan bahwa model klasifikasi denganalgoritma Naive Bayes mencapai tingkat akurasi sebesar 0.83 atau 83%. Dengandemikian, sistem temu kembali informasi ini diharapkan dapat memberikan kemudahanbagi pengguna media sosial dalam mengidentifikasi pelanggaran UU ITE yang terjadidalam komentar di TikTok.
Pendampingan dan Penerapan AI dalam Proses Desain Grafis untuk Meningkatkan Keterampilan Siswa Qusyairi, Muhammad; I Putu Sugi Almantara; Yogiswara Dharma Putra; Putu Astya Prayudha
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 2 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i2.33183

Abstract

The development of Artificial Intelligence (AI) technology has had a significant impact on the learning process, including in Graphic Design subjects at the Vocational High School (SMK) level. This study aims to analyze the effectiveness of utilizing AI as a digital-based learning medium that can improve creativity, technical skills, and design process efficiency in students. The research method used is a systematic literature review by reviewing relevant research from 2021–2025, including studies on the integration of AI in design education, the use of generative AI, its impact on creativity, and the adoption of educational technology in vocational environments. The results of the study indicate that the use of AI such as generative design tools, AI image generation, and adaptive learning platforms significantly improves visual exploration skills, accelerates the ideation process, and helps students understand basic design principles more interactively. However, the study also identified several challenges, such as the potential for design fixation, dependence on technology, issues of work authenticity, and limited teacher competency in operating AI-based devices. Overall, the use of AI in Graphic Design learning at vocational high schools has made a positive contribution to the quality of learning and students' readiness to face the digital-based creative industry. This study found that students' graphic design skills increased by 20.37%, which was carried out using pre-testing and an ethical AI usage policy to ensure that this technology can be utilized optimally and sustainably in education.
Co-Authors I Made Bagus Wahyu Mahendra I N Satya Kumara I Putu Sugi Almantara Ida Bagus A. Swamardika Ida Bagus Paalakaa RNB Made Sudarma Muhammad Qusyairi Ni Wayan Sri Ariyani Putu Astya Prayudha