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All Journal SMARTICS Journal JPKM Cahaya Negeriku
Rohman Hadi Al Haq
Universitas An Nuur
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

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Performance Evaluation of Agentic Workflow-Driven Trend-Aware Rule Mining for Dynamic Menu Bundling Andri Triyono; Kartika Imam Santoso; Rohman Hadi Al Haq
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.
PENINGKATAN KOMPETENSI MAHASISWA S1 ILMU KOMPUTERDENGAN DOSEN PENDAMPING MELALUI KUNJUNGAN INDUSTRIKE PT MINDO DEVELOP: PEMBELAJARAN ARSITEKTUR SISTEMSKALA ENTERPRISE DAN STANDAR INDUSTRI GLOBAL Andri Triyono; Eko Supriyadi; Dhika Malita Puspita Arum; Kartika Imam Santoso; Rohman Hadi Al Haq
Jurnal Pengabdian kepada Masyarakat Cahaya Negeriku Vol 6 No 2 (2026): Jurnal Pengabdian kepada Masyarakat Cahaya Negeriku
Publisher : LPPM AN Nuur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35720/jpkm.v6i2.96

Abstract

Abstracts are written in English. This community service activity aims to enhance the technical competencies (hard skills) and career readiness (soft skills) of S1 Computer Science students at Universitas An Nuur, accompanied by a team of lecturers, regarding enterprise-scale software development, cloud infrastructure, data security, and global industry standards through an industrial visit to PT Mindo Develop. PT Mindo Develop is a digital solution development company serving international clients, primarily in the United States (US) market, with a service ecosystem encompassing software engineering, 24/7 Customer Service (CS), creative content management, and Amazon Web Services (AWS) infrastructure. The implementation method comprised five stages: (1) preparation and coordination, (2) initial briefing, (3) field observation and company tour, (4) interactive system architecture and DevOps discussions with industry practitioners, and (5) impact evaluation using pre-test, post-test, and satisfaction questionnaires. The results demonstrated significant improvements in students' understanding of enterprise system architecture & microservices (48% increase), AWS cloud infrastructure & DevOps (52% increase), data security & global compliance (46% increase), as well as 24/7 service management and global client workflow (44% increase). This program effectively bridges academic theory with international-standard professional practices while strengthening the link-and-match synergy between Universitas An Nuur and PT Mindo Develop.
Co-Authors Andri Triyono Arum, Dhika Malita Puspita Eko Supriyadi Kartika Imam Santoso