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All Journal JURNAL SISTEM INFORMASI BISNIS Semantik INFOKAM Jurnal Transformatika Scientific Journal of Informatics JIEET (Journal of Information Engineering and Educational Technology) SMARTICS Journal Go Infotech: Jurnal Ilmiah STMIK AUB Transformasi JIPITI: Jurnal Pengabdian kepada Masyarakat Go Infotech: Jurnal Ilmiah STMIK AUB Jurnal Sistem Informasi (JASISFO) Julia Jurnal
Kartika Imam Santoso
STMIK Bina Patria
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Performance Evaluation of Agentic Workflow-Driven Trend-Aware Rule Mining for Dynamic Menu Bundling Triyono, Andri Triyono; Santoso, Kartika Imam; Al Haq, Rohman Hadi
SMARTICS Journal Vol 12 No 1 (2026): Journal SMARTICS (April 2026)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v12i1.14079

Abstract

Digital transformation in the culinary industry currently demands moving beyond writing static lines of code, instead acting as an AI orchestrator adaptive to real-world conditions. This research focuses on addressing significant challenges in traditional data mining methods, such as the Apriori and FP-Growth algorithms, which often lack the flexibility to handle dynamic variables like ambient temperature fluctuations.Through the innovative orchestration of the Trend-Aware Rule Mining (TARM) algorithm and a LangGraphbased Agentic Workflow, this study transforms raw association rules into strategic business decisions via an iterative reasoning process and self-correction mechanism. Experimental results on a dataset of 52,494 rows demonstrate TARM's computational superiority, with memory usage of only 8.04 MB , significantly more efficient than Apriori's 127.44 MB. Furthermore, the synergy between the Strategy Agent and Evaluator Agent achieved a logic consistency score of 100% , validated by an independent audit with an average score of 96.25%.These findings confirm that the developed system is in a ready-to-use state to support precise and adaptive decision-making automation in production environments.
Co-Authors Agus Susilo Nugroho Al Haq, Rohman Hadi Al Munawar, Habib Riziq Anak Agung Gede Sugianthara Andri Triyono Anggraini, Ani Anjar Septinegara aprilianto, dwi kurniawan Arif Ikhsanudin Arum, Dhika Malita Puspita Astuti, Theresia Widji Chrisna Hidayat Cisilia Sundari Condro Wibowo, Agus Dhika Malita Dhika Malita Puspita Dwi Astuti, Rizky Edi Widodo Edi Widodo, Edi Eko Sediyono Eko Supriyadi Emmanuel, Rheimanda Devin Emmanuel, Rheimanda Devin Emmanuel Estu Tunjung Pambayun Farida Yunita Iis Mariam Kapti . Kisnandhya Putra, Afif Malita Puspita Arum, Dhika Mendi Sangkoyrala Hidayat Muhamad Nur Rais, Muhamad Nur Muhammad Abdul Muin Muhammad Ilyas Musyarof, Muhammad Nabil Nabil, Muhammad Nabil Musyarof Nafi Projo Kusumo, Nafi Projo Najhan Atifa, Akhie Naufal Islam, Nibroos Neda Cisya Tama, Freshma Nugroho, Agus Susilo Prasetyo Nugroho Prihati . Putri Kusumasari, Putri Rahayu, Sari Rodliyati Karima, Isyatin Rosita Erfiyana Saniya, Zahra Fatma Santoso, Kartika Satriya, Ilham Jati Sri Waluyo Sugeng Wahyudion0 Sugeng Wahyudiono, Sugeng Sukris Sutiyatno Sunarni Sunarni Triyono, Andri Triyono, Andri Triyono Widorani, Efta Yeza Febriani Yusuf , Hikmaturridho Yusuf Mufarihin, Ahmad