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AHWALNOTE ISLAMIC APP UI/UX IMPROVEMENTS WITH JAKOB'S TEN USABILITY HEURISTICS AT INDI TECHNOLOGY Fadlan Amrullah; Jefri Yushendri; Teja Endra Eng Tju
Jurnal Sinergitas PKM & CSR Vol. 7 No. 2 (2023): February
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v7i2.6624

Abstract

AhwalNote is an Islamic mobile app to help depressed people avoid suicide. There is a desire from INDI Technology to improve and add AhwalNote features so that it is assisted in the development of the application with Jakob's Ten Usability Heuristics method. The activity is divided into three stages: the Preparation Stage with observation and interview methods; the Socialization stage with presentation, question and answer, discussion, and practice methods; and the Evaluation Stage is the assessment stage of the development results using the Severity Ratings method. The results of these activities are measured by comparing the evaluation results between the old and the new version of AhwalNote shown with the Severity Ratings value. There are some improvements in the quality of AhwalNote's UI/UX or Usability as a result of the development team of INDI Technology. Furthermore, Jakob's Ten Usability Heuristics method can be applied at the time of development of an application so that the final result before it is released is not too far from the standard usability.
Hyperlocal Visual Content and Audience Engagement: A Comparative Study on Instagram (Developing a Conceptual Model for Digital Branding) Raden Wahyu Utomo Martianto; Archita Desia Logiana; Teja Endra Eng Tju
Lingkar Studi Komunikasi (LISKI) Vol 12 No 1 (2026): FEBRUARI 2026
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/liski.v12i1.8991

Abstract

The digital age has transformed culinary marketing strategies, with social media, particularly Instagram, becoming the primary platform for building audience engagement through visual content. Hyperlocality in visual communication not only emphasizes geographic location, but also integrates elements of culture, tradition, and community identity. Previous studies have shown that visual storytelling can increase engagement, but research on how hyperlocal visual content specifically affects audience engagement is still limited. This study uses a qualitative approach with visual analysis methods, in-depth interviews, and participatory online observation to explore hyperlocal visual content strategies in culinary marketing on Instagram. A comparative study was conducted on two Instagram accounts, @jajan.sawangan and @sawangankuliner, to understand how visual elements such as composition, color, typography, and narrative influence engagement. The results showed that using visual elements that are more aesthetically pleasing, consistent, and reflective of local identity can significantly increase audience engagement. Accounts with more structured visual strategies and stronger narratives have higher levels of interaction than accounts with less cohesive visual approaches. Based on these findings, the study developed a conceptual model of audience engagement with hyperlocal visual content that can be used to guide community-based digital branding strategies. This study contributes to the study of digital communication, hyperlocal marketing, and social media branding, and provides recommendations for culinary business professionals to optimize visual strategies on Instagram.
Comparative Analysis of Camellia and AES Across File Sizes and Types Teja Endra Eng Tju; Fauzi Alfadhillah
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 11 No. 1 (2026): January 2026
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.5418

Abstract

Data security is a critical aspect of modern information systems that requires processing cryptographic efficiency and resilience. This study compares two widely used symmetric encryption algorithms, named Camellia and AES, based on their performance and resistance to standard attack methods. An experimental approach was applied using 72 files across eight commonly used formats (*.mp3, *.jpg, *.png, *.pdf, *.docx, *.xls, *.pptx, and .txt) in three predefined sizes: 100 KB, 1 MB, and 10 MB. Each file underwent encryption and decryption in a controlled environment, with metrics such as processing time, CPU usage, and RAM consumption recorded. Simulated Dictionary, Birthday, and Brute-Force attacks were conducted to assess algorithm robustness. Results show that AES performs faster, especially on large files, but with higher memory usage. Camellia demonstrated more consistent RAM usage and stronger resistance, successfully withstanding all attacks except one brute-force case on a small plaintext file. AES suffered multiple breaches on structured files of smaller sizes. The findings suggest that algorithm selection should consider workload characteristics and system constraints. The main contribution of this research lies in its comprehensive dataset and empirical comparison, providing practical insights to support encryption algorithm choices in real-world applications.