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All Journal Jurnal ilmiah teknologi informasi Asia JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Viony, Viony
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Computer Science & IT

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Implementasi Smart Tourism menggunakan Virtual Tour 360° di Belalang Adventure Batam Putra, Muhamad Zhabiyan Dwi; Fahlevi, Renza; Sinambela, Fitriana Aidnilla; Viony, Viony; Stevani, Stevani; Ang, Jessica Friscilla; Pratama, Wira Ardhimas; Mangkey, Jasica Kristin
Jurnal Ilmiah Teknologi Informasi Asia Vol 19 No 2 (2025): Volume 19 nomor 2 2025 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v19i2.1075

Abstract

The growth of smart tourism, particularly through 360° virtual tour (VT360°) technology, presents an effective promotional strategy in the period following the COVID-19 pandemic. This approach is especially suitable for outdoor tourist destinations that seek to engage with a global audience. This research was specifically conducted to design and put into practice VT360° technology at Belalang Adventure in Batam. The main goals were to increase the availability of information for potential visitors and improve the location's appeal to foreign tourists, who often research destinations online before traveling. This study employed a Research and Development (R&D) method, which included systematic stages of initial observation, capturing high-quality images with Google Street View, editing the photos with Adobe Lightroom, and building the final virtual tour on the Theasys platform. The outcome is a fully interactive virtual tour that highlights key points of interest, including the main entrance, the ticket counter, and various game areas, all of which can be conveniently accessed online from any device. This digital tool has proven to be an effective and low-cost method for tourism promotion. It also shows the considerable potential for small and medium-sized tourism businesses to use immersive technology to reach a wider market. Based on these findings, this study recommends forming collaborations with tour operators, local tour guides, and hotels to broaden the distribution of the virtual tour, making it a central part of a more extensive and combined promotional strategy.
Sistem Perencanaan Gizi Harian Berbasis Optimasi Porsi dan Clustering K-Means Rianda, Muhamad; Viony, Viony; Azis, Taher Abdul; Riyanti, Nabillah April
Jurnal Teknik Informatika dan Sistem Informasi Vol 12 No 1 (2026): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v12i1.13737

Abstract

Abstract — Personalized daily nutritional planning is a complex challenge due to the difficulty of translating individual nutritional needs into accurate food portions, exacerbated by the high prevalence of dual nutritional burdens in Indonesia. This study aims to design and implement an intelligent daily nutrition Decision Support System (DSS) capable of generating measured menu recommendations. The research method employs a hybrid approach, integrating an expert system knowledge base (Mifflin-St Jeor, FAO, IOM rules) with an inference engine based on dynamic portion optimization using linear programming (PuLP). Furthermore, unsupervised machine learning (K-Means) is applied to cluster food items to generate educational nutritional labels. The system was implemented as a web application using Python Flask and tested through case studies and functional verification. The main finding shows that the optimization engine successfully generated daily meal plans with specific grammages that closely approximated the target calories and macronutrients (case study caloric deviation <3%). The K-Means integration also proved effective in providing functional labels (e.g., "Pure Protein", "Energy Dense") for food items. This study concludes that a hybrid architecture based on dynamic portion optimization can provide a diet planning tool that is more quantitatively accurate and informative than traditional qualitative approaches.
Co-Authors Ang, Jessica Friscilla Azis, Taher Abdul Fahlevi, Renza Mangkey, Jasica Kristin Pratama, Wira Ardhimas Putra, Muhamad Zhabiyan Dwi Rianda, Muhamad Riyanti, Nabillah April Sinambela, Fitriana Aidnilla Stevani, Stevani