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All Journal Jurnal Aplikasi dan Inovasi Iptek (JASINTEK) TIERS Information Technology Journal
I Gede Wahyu Surya Dharma
Universitas Bali Internasional
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Environmental Science 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.
Co-Authors A A Ngr Bagus Aristayudha I Gede Karang Komala Putra 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