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Identifikasi Lokasi Iris Mata Berbasis Tranformasi Hough dan Deteksi Tepi Canny I Putu Putra Astawa; Ida Ayu Putu Febri Imawati
Jurnal Eksplora Informatika Vol 3 No 1 (2013): Jurnal Eksplora Informatika
Publisher : Bagian Perpustakaan dan Publikasi Ilmiah - Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.111 KB)

Abstract

Sistem identifikasi berbasis keunikan anggota tubuh manusia berkembang pesat di berbagai bidang aplikasi komersial. Iris mata merupakan salah satu dari sistem identifikasi yang dikembangkan. Hal ini mempengaruhi penelitian-penelitian yang mengarah pada kemampuan untuk menjamin tingkat akurasi dan kehandalan dalam berbagai kesulitan pada lingkungan yang mengandung noise seperti pemakaian kacamata, rambut, bulu mata, pengaruh blurring. Salah satu tahap yang paling kritis dan mendasar dalam sistem pengenalan iris mata adalah mengidentifikasi lokasi iris mata di dalam citra input. meningkatkan akurasi identifikasi lokasi iris mata dengan berbasis metode tranformasi hough dan deteksi tepi canny serta menghilangkan noise. Deteksi tepi canny memiliki kemampuan mengekstrak tepi dengan kebebasan pemilihan parameter yang digunakan dan hough transform memiliki proses komputasi yang cepat. Langkah yang dilakukan yaitu pengambilan sampel citra iris mata, dilanjutkan dengan pemetaan iris mata berbasis deteksi canny, kemudian mendeteksi lokasi iris mata dengan menentukan batas luar dan dalam iris mata, selanjutnya dilakukan proses menghilangkan noise yang mengganggu proses identifikasi lokasi iris mata. Dalam proses uji coba untuk mengukur tingkat akurasi lokasi iris mata digunakan dataset CASIA-IrisV3 Tujuan dari penelitian ini adalah mengedentifikasi lokasi iris mata yang akurat dalam citra ber-noise berbasis hough tranform dan detekti tepi canny. Selain itu diharapkan memberikan manfaat dalam pengembangan sistem aplikasi biometrik berbasis Iris Mata
Transformasi Bisnis di Era Digital: Peran Strategis Kecerdasan Buatan dalam Inovasi dan Keunggulan Bersaing I Putu Putra Astawa; Ida Ayu Utari Dewi
RESI : Jurnal Riset Sistem Informasi Vol. 4 No. 1 (2025): Resi Juli 2025
Publisher : Program Studi Sistem Informasi, Fakultas Teknologi Informasi dan Sains, Universitas Hindu Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32795/n78xst47

Abstract

Digital transformation has become a major driving force in the changing landscape of modern business. This study aims to examine the strategic role of artificial intelligence (AI) in supporting innovation and achieving competitive advantage in the digital era. Using a qualitative descriptive approach based on a literature review, this study analyzes various empirical and theoretical findings related to the implementation of AI in a business context. The results indicate that AI plays a crucial role in process automation, big data analysis, and improving the quality of consumer-oriented decision-making. In addition to driving operational efficiency, AI also opens up opportunities for product innovation and new, more adaptive, customer-driven business models. However, the implementation of AI is not without challenges such as digital infrastructure readiness, human resource competency gaps, and issues of data ethics and regulation. Therefore, integrating AI into business strategy requires a holistic, collaborative approach based on responsible governance. This research provides conceptual and practical contributions in designing AI-based digital transformation strategies, while also serving as a reference for policymakers and business actors to strengthen sustainable competitiveness.
The Role of Sradha and Bhakti in Efforts to Increase Happiness in the Era of Information Technology I Putu Putra Astawa; I Made Endra Lesmana Putra; Ni Putu Suwardhani; Ni Nyoman Sri Winarti
International Journal of Educational Research Excellence (IJERE) Vol. 2 No. 2 (2023): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijere.v2i2.636

Abstract

Religious values in science or providing religious morality to science. Mastery of science and technology is to improve skills in order to improve the quality of human life, while Sradha and Bhakti (faith and piety) are to increase moral values and wisdom. Therefore, touching on religious values that are based on divine teachings is very important. In this way, the goal of Hindu religious education which is in line with the goals of national education can be achieved, namely developing and increasing Sradha (faith) and Bhakti (devotion) of Hindus towards God Almighty/Ida Sanghyang Widhi Wasa through the appreciation and practice of Hindu religious teachings in order to become Hindu people. who is dharmika and able to realize "Moksartham Jagadhita". This research population consists of the UNHI academic community (lecturers, students and education staff). The sampling technique uses probability stratified random sampling with proportional allocation. Data was collected using questionnaires, and then analyzed using quantitative analysis with Structural Equation Modeling (SEM). Based on the results of the analysis, the results of this research show that Sradha and Bhakti have a significant effect on happiness, furthermore, the interaction between Information Technology Modernization and Sradha on Happiness Levels is not significant; The interaction between information technology modernization and devotion to the level of happiness is not significant, and information technology modernization has had a significant influence on human happiness.
The Influence of AI-Based Shopping Experience on Consumer Value through Cognition and Attitude I Putu Putra Astawa; I Gusti Ayu Lia Yasmita; I Komang Trisna Eka Putra
JKBM (JURNAL KONSEP BISNIS DAN MANAJEMEN) Vol. 12 No. 1 (2025): JKBM (JURNAL KONSEP BISNIS DAN MANAJEMEN) NOVEMBER
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jkbm.v12i1.15692

Abstract

Rapid advances in artificial intelligence (AI) have transformed online retail, yet many studies still empha-sise technical performance rather than the psychological mechanisms through which AI-driven experi-ences shape consumer value. This gap is evident in emerging markets such as Indonesia, where enthuse-asm for AI coexists with persistent concerns about data transparency and system reliability. Addressing this issue, the present study examines how AI-based shopping experiences influence consumer value by incorporating two mediating variables: AI Cognition, consumers’ understanding, Cognitive Load, Deci-sion Making, and Cognitive Bias in AI, and Attitude toward AI, which reflects their emotional and evalua-tive responses. A quantitative survey involving 150 active e-commerce users who had interacted with AI features (recommendation systems, chatbots, and personalisation tools) was analysed using SEM–PLS. The findings show that AI-based shopping experiences significantly enhance consumer value, both di-rectly and indirectly. Among the mediators, Attitude toward AI emerged as the dominant pathway, indi-cating that emotional acceptance plays a more influential role than cognitive appraisal in translating AI-driven experiences into perceived value. These results highlight that strengthening users’ emotional comfort and positive evaluations of AI is essential for maximising value creation, offering important im-plications for both theory and the design of consumer-centred AI systems.