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All Journal Teika Brilliant International Journal of Management and Tourism
Rendra Ardika
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Utilization of Hill Climbing Algorithm in Optimizing the Shortest Route to Tourist Destinations in Surabaya City M. Rafi Ardiansyah; Rendra Ardika; Moh. Misbahul Musthofah; Anggraini Puspita Sari
Brilliant International Journal Of Management And Tourism Vol. 5 No. 2 (2025): : Brilliant International Journal Of Management And Tourism
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v5i2.4389

Abstract

Surabaya City holds significant tourism potential with various popular destinations such as Taman Bungkul, the Submarine Monument, and Kenjeran Beach. However, the large number of attractions and limited visiting time often make it difficult for tourists to plan efficient travel routes. To address this issue, this study aims to implement the Hill Climbing algorithm to optimize the shortest path among tourist destinations in Surabaya. The method uses a heuristic approach by iteratively swapping the positions of two locations in the travel route to find an optimal solution that minimizes total travel distance. The developed system features a GUI-based interface, graphical visualization using the networkx and matplotlib libraries, and direct integration with Google Maps to facilitate user navigation. Testing results indicate that the Hill Climbing algorithm can generate more efficient travel routes compared to randomly ordered routes. These findings contribute to the development of intelligent and practical travel planning systems..
Implementasi Teknologi Data Mining dan Notifikasi Bot untuk Mendukung Keputusan Trading Cryptocurrency Rizky Parlika; Riky Hermawan; Rendra Ardika; Arif Nur Cahyo; Muhammad Wifaqul Azmi; Misbahul Munir
TeIKa Vol 15 No 2 (2025): Jurnal
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/n7afej11

Abstract

Cryptocurrency trading has an extremely high level of price volatility, which creates the need for traders to have a decision support system capable of providing market analysis quickly and adaptively. Therefore, the automated system developed in this study integrates data mining technology and a Telegram bot to strengthen traders in making buy–sell decisions for crypto assets. This system uses the public API of Indodax to obtain real-time price data and analyzes it using the RSI indicator dynamically, rather than relying on static indicator data. The analysis results are then connected to a Telegram bot, enabling it to send automatic notifications when overbought or oversold conditions occur. In addition, these automated results are also utilized in a system that has already integrated previous RSI analysis. Through the “before, now, and after” perspective, the system is able to provide updated prices, the latest interactive charts, and reminders via the bot, making it easier for users to monitor the market and respond to opportunities. This approach offers an integrated solution for trading decision-making based on technical analysis and real-time communication, as it increases the speed of decision-making and demonstrates flexibility in analyzing various coin pairs and time frames.
Co-Authors Anggraini Puspita Sari Arif Nur Cahyo M. Rafi Ardiansyah Misbahul Munir Moh. Misbahul Musthofah Muhammad Wifaqul Azmi Parlika, Rizky Riky Hermawan