Article Per Year (5 Year)
p-Index From 2021 - 2026
7.63
P-Index
This Author published in this journals
All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Ilmiah Informatika Komputer Jurnal Sains dan Teknologi Bulletin of Electrical Engineering and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer International Journal of Engineering and Emerging Technology International Journal of Engineering, Science and Information Technology Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Krisnadana Paradharma: Jurnal Aplikasi IPTEK KOMET INOVTEK Polbeng - Seri Informatika Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Saraswati, Ni Wayan Sumartini
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 46 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 46 Documents
Search

 1   2   3   4   5 
Classification of Traditional Balinese Kites Using CNN for Cultural Preservation Ni Wayan Sumartini Saraswati; Eddy Hartono; Ketut Jaya Atmaja; Welda Welda; I Dewa Made Krishna Muku
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16181

Abstract

The digital preservation of cultural heritage has become increasingly important in sustaining local traditions amid rapid modernization. Balinese traditional kites represent a distinctive form of intangible cultural heritage with unique visual characteristics; however, their identification and classification are still largely based on subjective expertise. This research develops a Convolutional Neural Network (CNN)-based model for image classification to automatically recognize three primary types of Balinese traditional kites: Bebean, Janggan, and Pecukan. Beyond technical implementation, this research contributes to the development of a culturally specific visual dataset, addressing the limited representation of local heritage objects in mainstream computer vision research, which is predominantly based on global datasets of generic objects. A balanced dataset of 2,400 images was constructed and evaluated using 5-Fold Cross Validation to assess model stability and generalization capability. The proposed CNN model achieved an average validation accuracy of 91.5%, with balanced precision, recall, and F1-score across folds. Further evaluation on an independent test set of 282 images resulted in an accuracy of 87.94%, indicating a generalization gap of approximately 4%, which remains within an acceptable range. The results demonstrate that CNN-based classification can effectively support structured digital documentation of traditional kites. This study highlights the potential of computer vision not only as a technical tool, but also as a strategic approach to advancing data-driven cultural preservation and expanding AI applications within localized cultural contexts.
Design and Construction of a SaaS-Based Multi-tenant Information System for Drone Activity Recording and Inventory I Wayan Juli Budiarta; Ida Bagus Ary Indra Iswara; I Made Sukafona; Ni Wayan Sumartini Saraswati; I Putu Agus Eka Darma Udayana
JST (Jurnal Sains dan Teknologi) Vol. 15 No. 1 (2026): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jst-undiksha.v15i1.106703

Abstract

Drone flight activity and inventory recording in uncrewed aerial vehicle (UAV) service providers is still dominated by manual methods and separate local systems. This condition risks recording errors and hinders operational data integration and access. This study aims to develop a SaaS-based multi-tenant information system for drone activity and inventory recording. This type of research is Research and Development with a Rapid Application Development (RAD) design. The research subjects included one drone company owner to inform the formulation of system requirements, while the researcher conducted trials independently using an access load simulation. Data were collected through interviews, observations, and literature reviews, with Apache JMeter as the testing tool and the stress testing method. Data analysis was conducted descriptively and qualitatively. The results of the study show the system is stable at low to medium loads and remains functional at high loads despite performance degradation. The study's conclusions indicate that the system can replace manual recording in web-based drone operational management. This study provides an overview of the application of a multi-tenant SaaS architecture to support centralized drone flight and inventory data management, while ensuring security and data isolation between organizations.
Tourists' perceptions of Ubud as a world gastronomy destination: a modified ABSA-BERT analysis Ni Wayan Sumartini Saraswati; Ketut Jaya Atmaja; I Wayan Dharma Suryawan; Christina Purnama Yanti
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.11411

Abstract

Although Ubud has been designated by the United Nations World Tourism Organization (UNWTO) as a global gastronomy tourism destination, existing research remains limited in assessing its strengths and challenges from a data-driven tourist perspective. Prior studies largely rely on qualitative, supply-side approaches and conventional sentiment analysis that overlook specific experiential aspects. Moreover, the integration of multi-platform data and the application of modified deep learning-based aspect-based sentiment analysis (ABSA) models remain underexplored in gastronomy tourism. This study addresses these gaps by employing a modified ABSA-bidirectional encoder representations from transformers (ABSA-BERT) framework on data from TripAdvisor and social media X to provide a more comprehensive evaluation of tourist perceptions. The model incorporates predefined aspect-based aspect term extraction (ATE), valence aware dictionary and sentiment reasoner (VADER) lexicon labeling, and a novel algorithm for extracting aspect-level opinions. The results demonstrate strong performance, achieving 93.50% accuracy on X data and 91% on TripAdvisor. Findings indicate an overall positive perception of Ubud as a global gastronomic destination, particularly for its authentic local cuisine and appealing natural dining atmosphere, although challenges such as overly spicy dishes and uncomfortable seating arrangements remain.
PKM UNTUK OPTIMALISASI CITRA MEREK KAJA KANGIN WARUNG MELALUI REBRANDING DAN DESAIN LOGO KREATIF Saraswati, Ni Wayan Sumartini; I Dewa Made Krishna Muku; I Wayan Dharma Suryawan; Dewa Ayu Kadek Pramita; I Kadek Agus Bisena; Ketut Jaya Atmaja
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2026): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v6i1.219

Abstract

Persaingan usaha kuliner yang semakin ketat menuntut pelaku UMKM untuk memiliki citra merek yang kuat dan berkarakter. Salah satu elemen utama dalam membangun citra merek adalah identitas visual, khususnya desain logo yang mampu merepresentasikan nilai dan keunikan usaha. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk mengoptimalkan citra merek Kaja Kangin Warung melalui proses rebranding dengan pendekatan desain logo kreatif berbasis nilai budaya lokal Bali. Metode yang digunakan terdiri atas enam tahapan, yaitu observasi dan analisis situasi mitra, perancangan konsep brand dan logo, desain logo final dan penyusunan brand guideline, pelatihan branding, implementasi identitas visual, serta monitoring dan evaluasi dampak. Hasil kegiatan menunjukkan bahwa rebranding menghasilkan logo baru yang lebih representatif, profesional, dan bermakna, dengan mengintegrasikan filosofi “Kaja Kangin” sebagai simbol arah timur laut yang dianggap suci dalam budaya Bali. Penyusunan brand guideline berperan penting dalam menjaga konsistensi identitas visual pada berbagai media. Evaluasi awal menunjukkan adanya peningkatan daya tarik visual dan pengenalan merek di mata konsumen. Kegiatan ini membuktikan bahwa rebranding berbasis budaya lokal dapat menjadi strategi efektif dalam meningkatkan citra merek dan daya saing UMKM kuliner.
Pengembangan Brand Book Sebagai Strategi Penguatan Identitas Visual Dan Citra Usaha Pada Kaja Kangin Warung Saraswati, Ni Wayan Sumartini; Suryawan, I Wayan Dharma; Muku, I Dewa Made Krishna; Pramita, Dewa Ayu Kadek; Bisena, I Kadek Agus; Atmaja, Ketut Jaya
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2026): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v6i2.244

Abstract

Kaja Kangin Warung adalah usaha kuliner lokal yang menyajikan hidangan khas Bali dengan cita rasa autentik dan suasana tradisional yang menarik. Namun, di tengah persaingan bisnis kuliner yang semakin ketat, terutama di wilayah pariwisata seperti Ubud, usaha ini menghadapi tantangan dalam membangun identitas merek yang kuat dan konsisten. Identitas visual pada media promosi seperti logo, menu, banner, dan media sosial belum seragam, sehingga citra usaha terlihat kurang profesional dan sulit dikenali pelanggan baru. Berdasarkan observasi dan wawancara awal dengan pemilik, ditemukan beberapa masalah utama. Pertama, belum adanya panduan visual baku sehingga penggunaan logo, warna, dan tipografi berbeda di setiap media. Kedua, pemilik belum memahami strategi branding dan pentingnya konsistensi visual dalam komunikasi merek. Ketiga, kemampuan desain dan promosi digital masih terbatas, sehingga media sosial dikelola sederhana tanpa memperhatikan gaya visual dan pesan merek yang kuat. Kondisi ini membuat citra Kaja Kangin Warung kurang menonjol dibandingkan kompetitor yang lebih modern dan memiliki strategi branding matang. Solusi yang diusulkan adalah pengembangan brand book sebagai strategi utama penguatan identitas visual. Brand book berisi elemen identitas merek seperti logo, warna, tipografi, ikonografi, dan pedoman penerapan di berbagai media promosi. Tim pengabdian akan membantu menganalisis karakter merek, merancang elemen visual, menyusun brand book digital, memberikan pelatihan kepada pemilik dan staf, serta mendampingi implementasi di media promosi. Dengan brand book, seluruh elemen visual dapat digunakan secara konsisten, sehingga citra Kaja Kangin Warung menjadi lebih profesional, menarik, dan mudah dikenali. Selain memperkuat citra dan meningkatkan daya saing, brand book ini juga dapat menjadi contoh penerapan branding efektif bagi Usaha Mikro, Kecil, dan Menengah (UMKM) lain di Bali yang ingin mengembangkan potensi lokal melalui komunikasi visual modern dan terarah.
Comparative Evaluation of Visual Behavioral Metrics to Identify Dominant Indicators for Reliable Real-Time Fatigue Detection I Putu Agus Eka Darma Udayana; Ni Wayan Sumartini Saraswati; Ni Made Sintya Noviana Utami
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.2046

Abstract

This study evaluates and compares three widely used behavioral visual indicators for real-time fatigue detection to determine the most reliable decision metric for continuous monitoring applications. The indicators examined consist of the Eye Aspect Ratio (EAR), Mouth Aspect Ratio (MAR), and Percentage of Eye Closure (PERCLOS), which represent micro-sleep events, yawning behavior, and cumulative eyelid closure, respectively. The experimental dataset includes 300 open–closed eye images, 300 yawning–non-yawning mouth images, and 20 five-minute video sequences to measure accumulated eye-closure over time. EAR obtained an accuracy of 89%, precision of 0.91, recall of 0.86, and an AUC of 0.93, showing high sensitivity to micro-sleep events lasting under two seconds. However, its performance decreased by up to 14% when the head pose shifted from a frontal orientation, indicating geometric dependency. MAR produced an average accuracy of 90%, precision of 0.87, recall of 0.84, and an AUC of 0.88, demonstrating strong responsiveness to yawning, with peak accuracy reaching 98%. Nevertheless, its stability dropped by 18% under tilted head orientation and lip movement variations, making it less reliable as a standalone metric for long-term monitoring. In contrast, PERCLOS achieved perfect performance with 100% accuracy, precision of 1.00, recall of 1.00, and an AUC of 1.00. Its robustness is attributed to cumulative eye-closure evaluation rather than geometric landmark measurement, allowing detection to remain unaffected by head pose variation. Statistical significance testing further revealed that PERCLOS outperformed both EAR and MAR (p 0.05), confirming its suitability as the dominant decision indicator. These findings establish PERCLOS as the most reliable metric for real-time visual fatigue assessment, while EAR and MAR serve as complementary indicators for detecting early fatigue symptoms such as micro-sleep and yawning behavior
Co-Authors Alvin Limawan Susanto Andika, I Gede Atmaja, Ketut Jaya Baehaqi Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Dewa Ayu Putu Rasmika Dewi Dewa Ayu Putu Rasmika Dewi Dewa Ayu Putu Rasmika Dewi Dewi Natalia, Sang Ayu Made Krisna Dewi, Dewa Ayu Putu Rasmika Dewi, Yesi Ratna Eddy Hartono Eddy Hartono Eddy Hartono Eddy Hartono Eddy Hartono Gusti Putu Sutrisna Wibawa I Dewa Made Krishna Muku I Dewa Made Krishna Muku I Dewa Made Krishna Muku I Gede Adi Sudi Anggara I Gusti Ayu Agung Diatri Indradewi I Gusti Ayu Agung Mas Aristamy I Kadek Agus Bisena I Kadek Agus Bisena I Kadek Agus Bisena I Kadek Putra Agung Darmawan I Ketut Gede Darma Putra I Ketut Setiawan I Made Andi Kertha Yasa I Made Bayu Hadi Irawan I Made Sukafona I Made Sukarsa I Made Sukarsa I Nyoman Tri Anindia Putra I Nyoman Yudha Chandra Dinata I Putu Agus Eka Darma Udayana I Putu Agus Eka Darma Udayana I Putu Agus Eka Darma Udayana I Putu Budi Astawa I Putu Dedy Sandana I Putu Dedy Sandana I Putu Krisna Suarendra Putra I Wayan Agustya Saputra I Wayan Dharma Suryawan I Wayan Juli Budiarta Ida Bagus Ary Indra Iswara Ida Bagus Gede Sarasvananda Juniartini, Ni Komang Tri Kadek Budi Sandika Ketut Gede Darma Putra, I Ketut Jaya Atmaja Ketut Jaya Atmaja Ketut Laksmi Maswari Ketut Sepdyana Kartini Krismentari, Ni Kadek Bumi Krisna, Gede Gana Eka Made Sudarma Made Sudarma MADE WAHYU ADHIPUTRA Maria Osmunda Eawea Monny Melinia Hutari Natalia, Sang Ayu Made Krisna Dewi Ni Komang Tri Juniartini Ni Luh Pangestu Widya Sari NI LUH PUTU AGETANIA . NI LUH PUTU MERY MARLINDA Ni Made Lisma Martarini Ni Made Sintya Noviana Utami Ni Wayan Mirah Senja Pertiwi Ni Wayan Wardani Nirwana, Ni Kade Ayu Pirozmand, Poria Poria Pirozmand Poria Pirozmand Poria Pirozmand Poria Pirozmand Pramana, I Gusti Kadek Candra Adi Cahya Pramest, Ni Luh Gede Sintia Pramita, Dewa Ayu Kadek Pramitha, Gede Dana Priscilla Desinta Achelya Putu Ananda Sitarasmi Putu Sugiartawan Putu Sugiartawan Putu Wirayudi Aditama Sandhiyasa, I Made Subrata Sari, Ni Luh Pangestu Widya Suryawan, Wayan Dharma Waas, Devi Valentino Wardani, Ni Wayan Weizhi Song Welda