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All Journal Jurnal Ilmiah Informatika Komputer JUTI: Jurnal Ilmiah Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) Sinkron : Jurnal dan Penelitian Teknik Informatika Journal on Information Systems, Technology of Information and Communications (JoISTIC) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal ULTIMA InfoSys Jurnal Informatika dan Sistem Informasi (JUISI) Journal of Electrical Engineering and Computer (JEECOM) Insyst : Journal of Intelligent System and Computation Jurnal Locus Penelitian dan Pengabdian
Lisana Lisana
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Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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PENERAPAN ALGORITMA QUANTUM TREEMAPS DAN BUBBLEMAPS PADA ZOOMABLE IMAGE BROWSER Lisana Lisana
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 6, No 2 Juli 2007
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.179 KB) | DOI: 10.12962/j24068535.v6i2.a190

Abstract

Pada umumnya, aplikasi penampil gambar (image browser) menampilkan gambar dengan menggunakan miniatur gambar (thumbnail) yang diatur dalam bentuk grid, dimana pengguna dapat memilih gambar yang hendak dilihat dengan menggunakan mouse.  Meskipun aplikasi penampil gambar sangat populer, mereka memiliki beberapa kekurangan.  Misalnya, mereka hanya bisa menampilkan gambar yang terletak dalam satu direktori saja.  Jika dalam direktori tersebut ada sangat banyak gambar dan tidak cukup untuk ditampilkan semuanya dalam satu layar, maka pengguna harus menggunakan scrollbar untuk melihat sisanya.  Untuk beberapa kasus, miniatur gambar yang ditampilkan terlalu kecil sehingga pengguna tidak tahu apa isi dari gambar tersebut.  Untuk mengatasi kekurangan-kekurangan diatas, digunakan Zoomable User Interface (ZUI) yang terintegrasi didalam sebuah aplikasi penampil gambar yang diberi nama Zoomable Image Browser yang dapat menampilkan gambar dengan menggunakan miniatur gambar tanpa scrollbar meskipun jumlahnya banyak.  Selain itu, pada aplikasi ini pengguna dapat menampilkan gambar-gambar dari banyak direktori sekaligus.  Untuk menyusun kelompok-kelompok gambar tersebut secara otomatis, digunakan dua algoritma, yaitu algoritma quantum treemaps dan algoritma bubblemaps.  Quantum treemaps adalah algoritma yang membagi daerah yang ada dalam bentuk persegi panjang. Persegi panjang yang dihasilkan akan dibagi-bagi lagi menjadi persegi panjang yang lebih kecil dan begitu seterusnya. Algoritma bubblemaps bekerja dengan mengisi sel-sel yang ada dalam sebuah grid, menyimpan tanda dari sel-sel yang ada, sehingga dapat diketahui bahwa sel tersebut akan ditempati oleh gambar dari kelompok yang mana. Kesimpulan yang dapat diambil adalah karena algoritma bubblemaps menghasilkan daerah dengan bentuk acak, maka pengguna akan kesulitan dalam menemukan kelompok gambar tertentu, tetapi tidak menghasilkan tempat kosong pada kelompok gambar. Sedangkan algoritma quantum treemaps menghasilkan daerah berbentuk persegi panjang untuk menampung kelompok-kelompok gambar, sehingga pada sebagian besar daerah kelompok gambar terdapat tempat kosong, tetapi pengguna akan lebih mudah membedakan kelompok-kelompok gambar.Kata Kunci: Quantum Treemaps, Bubblemaps, Zoomable Image Browser
Adoption of Artificial Intelligence in Vocational High Schools: A Systematic Review of Teachers’ Perspectives Mafrukhah, Erny; Lisana, Lisana
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15701

Abstract

The purpose of this study is to examine Vocational High School teachers' perceptions of the adoption of artificial intelligence (AI) in vocational education. Using a systematic literature review (SLR) approach with the PRISMA 2020 protocol, 1,346 articles were identified from six main databases: ACM, IEEE Xplore, ScienceDirect, Google Scholar, and Semantic Scholar. Of the 1,346 articles identified, 263 were excluded at an early stage because they did not meet basic criteria, such as authorship, publication language, and document type. A total of 1,083 articles were screened, yielding 208 reports for in-depth screening. After the screening and feasibility assessment, 29 studies were included in the final analysis. The analysis showed that 72% of studies reported positive results, 24% reported moderate results, and 3% reported exploratory results. The dominant factors influencing teachers' perceptions included infrastructure readiness, digital competence, institutional support, the relevance of the vocational curriculum, and ethical and privacy issues. These findings emphasize the need for a holistic strategy for implementing AI in vocational schools that encompasses teacher training, education policy, and ethical considerations.
Higher Education Students’ Use and Continuous Intention to Use Generative AI: A Systematic Literature Review Pranoto, Velicia Marveline; Lisana
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 3 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i3.5275

Abstract

This systematic literature review aims to examine existing studies on higher education students’ use and continuous intention to use generative AI to support their studies. Using PICOTQ to build the research question, as well as establish inclusion and exclusion criteria. PRISMA framework was used for the selection process. From 33 records, it was found that most studies were conducted in 2024. China was the country with most studies about generative AI. Most study populations were university students. The generative AI tool most frequently examined was ChatGPT. Most papers employed the UTAUT framework, and the most used factor in the studies was perceived usefulness. Future research should explore relevant moderators, and consider diverse student populations and generative AI tools beyond ChatGPT.
Enhancing User Experience in a Land Transportation Information Application: A Design Thinking Approach to the GOBIS Application Lisana, Lisana; Angga, Melissa; Cristabella, Eugenia Caitlyn
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 3 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i3.16994

Abstract

GOBIS is a digital transportation application developed by the Surabaya City Government to facilitate public access to public transportation services. As a land transportation information system, GOBIS plays an important role in providing route, bus stop, and fleet information for urban mobility. However, user reviews and usability test results indicate that the current version of the application still has several shortcomings, particularly in interface design and user experience. The main issues include a difficult-to-interpret integrated map, the absence of an automatic route-search feature, and unclear information about bus stops and fleets. This study developed a redesigned GOBIS prototype through the five-stage Design Thinking process and evaluated the existing application and the redesigned prototype using the same task scenarios. Effectiveness was measured by task completion rate, efficiency by time-based efficiency, and perceived user experience by the User Experience Questionnaire (UEQ). The redesigned prototype increased task completion from 52% to 92%, representing a 40-percentage-point improvement, and increased time-based efficiency from 0.008 to 0.104 goals/sec. User satisfaction also improved after the redesign. Furthermore, assessment with the User Experience Questionnaire (UEQ) showed that all dimensions fell within the “excellent” category. These findings indicate that the redesigned interface successfully improves the overall quality of user interaction and enhances the user experience of GOBIS as a land transportation information system.
Co-Authors Bena, Dea Almira Cristabella, Eugenia Caitlyn Kevin kevin Mafrukhah, Erny Ng Melissa Angga Novandyanta, Evan Pranoto, Velicia Marveline Steven, Liauwnad Susanto, Agung Satria Susanto, Alvin Fernando Sutanto, Jessica Levina