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All Journal JUTECH : Journal Education and Technology
Fahlapi, Fasha
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Computer Science & IT Education Languange, Linguistic, Communication & Media Other

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ANALISIS META-SINTESIS DAMPAK ARTIFICIAL INTELEGENCE TERHADAP PERFORMA AKADEMIK DI ERA DIGITAL Fahlapi, Fasha; Syafitri, Khairunnisa; Ibrahim, Surya Rizky Maulana; Ilham, Farizi
JUTECH : Journal Education and Technology Vol 5, No 2 (2024): JUTECH DESEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v5i2.4352

Abstract

Artificial Intelligence (AI) offers innovative solutions to improve the quality of teaching and learning, providing significant benefits to students and educators. This research aims to analyse the potential and challenges of implementing generative AI in education in the digital era using a qualitative meta-synthesis approach. Data from previous literature shows that generative AI can increase personalisation of learning by 30%, reduce administrative burden by 40%, and improve academic outcomes by 20%. However, challenges such as data privacy risks, technology dependency, and digital access gaps remain major obstacles. The results of this study recommend the integration of generative AI into education through classroom learning of AI use, discussions between educators and students, and limits on technology use. At the curriculum and policy level, adaptive and inclusive strategies are needed to adjust to technological developments. In addition, this research proposes government policies that support the adoption of AI in education and provides practical guidelines for responsible implementation. Further research is expected to empirically analyse the adoption process and measure the readiness and perception of stakeholders in Indonesia. With the right approach, generative AI can become a valuable learning tool, sustainably transforming modern education.
ANALISIS PENGARUH JARAK DAN HALANGAN PADA TRANSMISII DATA JARINGAN NIRKABEL DENGAN MENGGUNAKAN METODE SIGNAL- TO- NOISE RATIO (SNR) Nursakinah, Badriah; Syafitri, Khairunnisa; Wijaya, Michelle Aniela; Fahlapi, Fasha
JUTECH : Journal Education and Technology Vol 6, No 1 (2025): JUTECH JUNI
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v6i1.4955

Abstract

Jaringan Nirkabel merupakan salah satu alternatif unggul, membangun sebuah jaringan komputer yang praktis. Jaringan Nirkabel memanfaatkan gelombang radio sebagai media transmisi data. Namun jaringan nirkabel ini masih memiliki banyak kelemahan dan sangat rentan terhadap ancaman - ancaman serangan dari pihak yang tidak bertanggung jawab. SNR atau sering disebut dengan Signal to Noise Ratio merupakan perbandingan antara daya sinyal dengan daya noise yang ada di dalam suatu transmisi. Selain itu jaringan sensor nirkabel juga memiliki kelemahan antara lain keterbatasan daya, memori dan komunikasi. Keberadaan halangan fisik di jalur transmisi nirkabel dapat secara signifikan mempengaruhi kekuatan sinyal dan SNR). Halangan seperti dinding, bangunan, dan bukit dapat menghalangi sinyal nirkabel, mengurangi kekuatannya saat mencapai penerima . Kekuatan sinyal nirkabel secara alami menurun seiring dengan bertambahnya jarak antara perangkat pengirim dan penerima. Fenomena ini dikenal sebagai pathloss atau atenuasi.
Co-Authors Ibrahim, Surya Rizky Maulana Ilham, Farizi Nursakinah, Badriah Syafitri, Khairunnisa Wijaya, Michelle Aniela