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All Journal Jurnal Aplikasi dan Inovasi Iptek (JASINTEK) TIERS Information Technology Journal Journal of Economics and Public Health
I Gede Karang Komala Putra
Universitas Bali Internasional
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Public Health Other

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Pemberdayaan Masyarakat Mengenai Literasi Data Dalam Pemasaran Wisata Di Desa Batuan, Sukawati Gde Palguna Reganata; I Kadek Arya Sugianta; Khadijah Febriana Rukhmanti Udhayana; I Gede Wahyu Surya Dharma; I Gede Karang Komala Putra; Ni Kadek Winda Patriani; Kadek Riyan Putra Richadinata; Vitalia Fina Carla Rettobjaan; Ni Made Widnyani; A. A. Ngurah Bagus Aristayudha; Ni Putu Surya Astitiani
Jurnal Aplikasi dan Inovasi Iptek Vol 4 No 2 (2023): Jurnal Aplikasi dan Inovasi Iptek No. 4 Vol. 2 April, 2023
Publisher : Denpasar Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52232/jasintek.v4i2.105

Abstract

Pariwisata di Bali sedang mengalami tantangan akibat pandemi. Optimalisasi pemanfaatan teknologi informasi menjadi salah satu cara untuk mengembangkan potensi wisata di era post pandemic. Namun, perjalanan usaha pariwisata di Desa Batuan, Kecamatan Sukawati, Kabupaten Gianyar masih menerapkan pola tradisional yang sebagian besar mengandalkan pihak ketiga dan kunjungan tamu secara insidentil. Selain itu, masyarakat Desa Batuan belum memanfaatkan teknologi informasi yang tersedia secara maksimal dalam rangka mengelola pariwisata berbasis digital. Pemberdayaan skill digital dalam konteks literasi data, komunikasi dan kolaborasi, kreasi konten digital, keamanan, dan pemecahan masalah perlu dilakukan untuk meningkatkan kesadaran masyarakat akan pentingnya eksistensi pariwisata budaya berbasis digital. Berdasarkan sosialisasi yang diberikan, diperoleh hasil bahwa seluruh aspek skill digital telah dipahami dengan baik dimana skor total 3,29 (skor maksimum 4,00). Aspek keamanan direspon paling baik dengan skor 3,52, sedangkan aspek menciptakan konten digital dengan skor paling rendah yaitu 3,06. Gambaran ini menunjukkan bahwa walaupun skor pemahaman responden telah baik, beberapa aspek perlu ditingkatkan seperti bagaimana menciptakan konten digital yang baik. Penyuluhan ini juga diharapkan dapat memberikan wawasan dan pola pikir yang berkembang dalam menghadapi situasi pandemic ini dan dapat diimplementasikan dalam bidang pariwisata
Application of The K-Means Clustering Method To Search For Potential Tourists of Bendesa Hotel I Gede Karang Komala Putra; I Gede Wahyu Surya Dharma
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4297

Abstract

Hotels play a significant role in the growth of global tourism. With intense competition in the hotel industry, hotels are shifting their focus from solely providing superior services to identifying potential tourists. In a previous study, the J48 algorithm was employed to extract hotel transaction patterns, achieving an accuracy level of 71.6418% by considering gender and age characteristics[1]. In a separate study, foreign guest ratings by province were classified into three clusters. The study concluded that nearly 90% of provinces in Indonesia exhibit low levels of tourism, supported by the analysis of the number of tourists staying, as reported by the statistical center[2]. To identify potential tourists who can bring benefits to the hotel, hotel managers can utilize the k-means algorithm. In this study, a data mining process was conducted using data collected from tourists who stayed at the Bendesa Hotel. The process began with tourist segmentation using the K-means algorithm divided into clusters. Subsequently, the accuracy of the obtained data was calculated. This research employed room class as a reference value to discover tourist characteristics at the Bendesa Hotel. The results of applying the K-means model with 4 clusters indicated that the accuracy level for identifying potential tourists reached 84.4%.
Java and Bali Shoreline Change Detection Based on Structural Similarity Index Measurement of Multispectral Images I Gede Wahyu Surya Dharma; I Gede Karang Komala Putra
TIERS Information Technology Journal Vol. 4 No. 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i2.4468

Abstract

The abstract effectively delineates the pertinent issues addressed in the research, presenting a clear exposition of the challenges associated with coastline monitoring in Indonesia. The methodology is well-defined, incorporating the utilization of Landsat images, Structural Similarity Index Measurement (SSIM), and the application of Hidden Markov Random Field for segmentation. Moreover, the influence of Indonesia's equatorial positioning on cloud cover and the subsequent application of morphological operations are appropriately highlighted. However, it is crucial to provide explicit details regarding the research findings. Specifically, the abstract should elucidate the specific outcomes or results obtained from the conducted experiments or analyses. This addition would enhance the clarity and scientific robustness of the abstract, ensuring that it accurately reflects the research objectives and their corresponding achievements. Inclusion of quantitative data or statistical analyses would be particularly valuable in this regard. This would not only bolster the abstract but also furnish a more comprehensive overview of the study's empirical contributions.
The Influence of Digital - Based Strategic Management in Increasing Consumer Purchasing Interest Astitiani, Ni Luh Putu Surya; Putra, I Gede Karang Komala; Widnyani, Ni Made
Journal of Economics and Public Health Vol 3 No 1 (2024): Journal of Economics and Public Health: March 2024
Publisher : Global Health Science Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/jeph.v3i1.3365

Abstract

The study delves into exploring the impact of digital-based strategic management on consumer purchasing interest, particularly focusing on the local wisdom product "Tedung Bali." Situated within the captivating backdrop of the Mengwi Traditional Village in the Badung Regency, the research embarks on a quantitative journey employing univariate and bivariate analysis techniques. The primary data, collected through meticulously crafted questionnaires administered to 123 enterprising individuals involved in the production of "Tedung Bali," forms the cornerstone of this investigation. Utilizing the Chi-Square test as its analytical tool, the study aims to unravel the intricate relationship between the utilization of social media platforms and consumer inclination towards purchasing "Tedung Bali" products. The findings illuminate a compelling correlation, underscoring the pivotal role of social media engagement in shaping consumer behavior towards these indigenous treasures. Furthermore, the demographic profile of respondents reveals intriguing insights, with a predominant representation of males in the 41-50 age bracket, possessing a high school or equivalent educational background. These demographics serve as invaluable markers, offering nuanced perspectives on consumer preferences and behaviors within the targeted market segment. The implications of this research extend beyond the realms of academia, resonating profoundly in the practical domain. By advocating for the integration of digital-based management strategies in the marketing endeavors of local wisdom products, the study underscores a pathway towards achieving tangible success amidst a fiercely competitive market landscape. This strategic alignment promises not only to elevate the visibility and desirability of "Tedung Bali" products but also to foster a sustainable ecosystem conducive to the preservation and promotion of cultural heritage.
Co-Authors A A Ngr Bagus Aristayudha I Gede Wahyu Surya Dharma Khadijah Febriana Rukhmanti Udhayana Ni Kadek Winda Patriani Ni Luh Putu Surya Astitiani Reganata, Gde Palguna Richadinata, Kadek Riyan Putra Sugianta, Kadek Arya Vitalia Fina Carla Rettobjaan Widnyani, Ni Made