Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal International Journal of Computer and Information System (IJCIS) Jurnal Impresi Indonesia
Tigus Juni Betri
Universitas Islam Negeri Raden Mas Said Surakarta
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Sistem Informasi Monitoring Keamanan Data Berbasis Artificial Intelligence Tigus Juni Betri
Jurnal Impresi Indonesia Vol. 5 No. 5 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i5.7727

Abstract

Peningkatan penggunaan sistem informasi menyebabkan risiko terhadap keamanan data semakin tinggi, seperti akses tidak sah dan pola penggunaan yang tidak normal. Sistem monitoring konvensional umumnya hanya mencatat aktivitas tanpa kemampuan analisis cerdas. Oleh karena itu, diperlukan sistem yang mampu memantau sekaligus mendeteksi potensi ancaman keamanan data secara otomatis. Penelitian ini bertujuan untuk mengembangkan sistem informasi monitoring keamanan data berbasis Artificial Intelligence (AI) yang mampu mencatat aktivitas akses data dan mendeteksi anomali. Penelitian ini menggunakan metode Research and Development (R&D) dengan pendekatan eksperimen melalui pembuatan prototype sistem informasi monitoring keamanan data berbasis Artificial Intelligence (AI). Hasil analisis ditampilkan dalam dashboard monitoring yang memberikan informasi kondisi keamanan data serta notifikasi peringatan kepada administrator. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu membantu proses monitoring keamanan data secara lebih efektif dan efisien dibandingkan metode konvensional. Berdasarkan proses perancangan dan implementasi yang telah dilakukan, sistem informasi monitoring keamanan data berbasis web dengan penerapan algoritma K-Nearest Neighbor (KNN) berhasil dikembangkan sesuai dengan kebutuhan penelitian.
A Comparative Study on Visual Aesthetic Quality and Originality of Children's Book Illustrations: Midjourney Generation vs. Manual Illustrators Moch Bagoes Pakarti; Tigus Juni Betri
International Journal of Computer and Information System (IJCIS) Vol 7, No 2 (2026): IJCIS : Vol 7 - Issue 2 - 2026
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v7i2.278

Abstract

The emergence of Generative AI, such as Midjourney, has sparked significant disruption in the children's book publishing industry by offering efficiency and rapid creation of visual works, while simultaneously raising fundamental debates regarding aesthetic quality and authenticity. This study aims to comparatively evaluate the visual aesthetic quality and originality levels between Midjourney-generated illustrations and those created by manual illustrators. Utilizing an explanatory sequential mixed-methods approach, data were collected through a structured evaluation rubric assessed by a panel of 15 experts (visual communication design academics, children's book editors, professional illustrators, and child psychologists). Quantitative data were analyzed using the Mann-Whitney U test, complemented by descriptive qualitative analysis. Findings reveal that Midjourney excels in technical rendering precision and execution speed, yet exhibits critical flaws in character consistency across story pages and narrative emotional expression. Conversely, manual illustrators scored significantly higher in originality, signature visual style, and narrative visual sensitivity appropriate for children's emotional development. This study concludes that AI cannot currently replace the intuitive role of manual illustrators in producing complete, impactful visual narratives for children's books. The findings imply that publishers should position AI merely as an initial ideation tool while underscoring the necessity of preserving the originality and ethical value of human illustrators' workplease write in English. This document gives formatting instructions for authors preparing papers for publication in the IJCIS. The authors must follow the instructions given in the document for the papers to be published. You can use this document as both an instruction set and as a template into which you can type your own text. Abstract should be no longer than 250 words. It gives a brief summary of the content of the paper and point out the main objective, the methods employed, the results obtained and major conclusions.
Co-Authors Moch Bagoes Pakarti