Andini Widi Bahrani
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Zero to Win Algoritma Rekursif sebagai Otak Strategis Permainan Tic Tac Toe Andini Widi Bahrani; Nabila Ade Mutmaina; Tata Sutabri
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 1 (2025): Mei : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/f74gjm69

Abstract

Tic Tac Toe is a classic game that, despite its simplicity, presents a compelling structure for computational strategy analysis. This study aims to develop an artificial intelligence system capable of playing optimally using a recursive algorithmic approach. By implementing the Minimax algorithm, the system evaluates all possible moves and outcomes in each game state, allowing it to choose the most strategic action to secure a win or avoid a loss. The approach was tested through simulations against both human and computer opponents, showing that the recursive strategy effectively generates fast and accurate decisions. The results highlight that recursive algorithms can significantly enhance the performance of intelligent systems in solving deterministic, rule-based games.
ANALISIS IMPLEMENTASI DASHBOARD MONITORING AKTIVITAS TASK MENGGUNAKAN INTEGRASI CLICKUP API DAN N8N BERBASIS WEB DENGAN METODE PROTOTYPE Andini Widi Bahrani; Ahmad Syazili
Jurnal Publikasi Manajemen Informatika Vol. 5 No. 2 (2026): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v5i2.7380

Abstract

Project management applications are widely used to support team collaboration and task management. However, monitoring task activities directly through these platforms can be difficult because information is spread across multiple menus. This study aims to analyze the implementation of a web-based task activity monitoring dashboard integrated with ClickUp API and n8n. The system was developed using the Prototype method and provides project information such as task activities, project statistics, team productivity, overdue tasks, and automatic notifications through WhatsApp, Telegram, and Gmail. The results show that the system can display project information in real time and simplify monitoring activities through a single integrated dashboard. In addition, the notification feature helps users receive project updates more quickly and efficiently. Therefore, the system can support project monitoring and improve information delivery within a collaborative work environment.