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All Journal Brahmana : Jurnal Penerapan Kecerdasan Buatan Brilliance: Research of Artificial Intelligence
Anintyo Herdadi
Universitas Media Nusantara Citra, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Mathematics Other

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Smart Tourism In Padang: Minangkabau Cultural And Gastronomic Recommendations Using Best First Search Eko Amri Jaya; Fabriano Saptodewo; Anintyo Herdadi; Sestri Novia Rizki; Adi Fitrianto; Wida Nofiasari
Brilliance: Research of Artificial Intelligence Vol. 6 No. 4 (2026): Brilliance: Research of Artificial Intelligence, Article Research November 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i4.9479

Abstract

The city of Padang possesses significant tourism potential, driven by its wealth of natural attractions, Minangkabau culture, and distinctive gastronomy all of which serve as major draws for visitors. However, existing tourism information remains fragmented across various platforms, lacks systematic integration, and fails to provide destination recommendations tailored to user preferences. This situation hinders the implementation of "smart tourism," which requires intelligent, adaptive, and data-driven information systems. This study aims to develop a tourism recommendation model that integrates Padang's tourist destinations, culture, and gastronomy using the Best-First Search algorithm to generate recommendations that are more relevant, efficient, and aligned with traveler needs. The research employs an applied methodology comprising several stages: identifying and classifying data on tourist destinations, culture, and gastronomy; designing a recommendation model based on the Best-First Search algorithm; implementing the system; and testing and evaluating the model's performance using a dataset of Padang's tourist attractions. The results demonstrate that the developed model successfully integrates tourism information in a structured manner and generates destination recommendations that match user preferences based on selected criteria. Furthermore, the Best-First Search algorithm accelerates the process of finding optimal recommendation routes, thereby offering the potential to support the development of smart tourism services that are more effective, interactive, and focused on the visitor experience in Padang.
Implementasi Metode Ward Dan Peppard Dalam Perencanaan Strategis Sistem Informasi Studi Kasus PT XYZ Anintyo Herdadi
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 6, No 1 (2024): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v6i1.538

Abstract

PT XYZ needs information system (SI) strategic planning to increase efficiency, effectiveness and competitiveness in providing services to customers. This research uses the Ward and Peppard methodology with three stages: input (identification of vision/mission and data collection), analysis (analysis of the business environment and IS), and output (mission formulation, IS/IT strategy, and IS management strategy). The research results show that the use of appropriate technology and the development of reliable information systems are key factors for the company's success. To support performance in the next three years, it is recommended to implement CRM (customer relationship management) and ERP (enterprise resource planning) systems which are able to increase operational efficiency and provide competitive advantages.
Co-Authors Adi Fitrianto Eko Amri Jaya Fabriano Saptodewo Sestri Novia Rizki Wida Nofiasari