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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) BERNAS: Jurnal Pengabdian Kepada Masyarakat Instal : Jurnal Komputer eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Sama Jiva Jnanam (International Journal of Social Studies)
Gede Agung Ary Wisudiawan
Universitas Telkom
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Journal : Instal : Jurnal Komputer

 1 
Applying Process Mining to Analyze Anomalies in Student Registration Wisudiawan, Gede Agung Ary; Sardi, Indra Lukmana
Bahasa Indonesia Vol 17 No 08 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i08.422

Abstract

This study applies process mining to analyze the student course registration process using activity log data from the SIRAMA application. A process model was discovered and evaluated through conformance checking by comparing it with the standard operating procedures (SOP) to detect anomalies. Four key metrics were employed: fitness, precision, generalization, and simplicity. The evaluation results reveal a fitness score of 0.846, indicating that most events in the log are represented by the model, although some transitions remain uncaptured. The relatively low precision score of 0.69531 suggests that the model is overly permissive, allowing many potential paths that never occurred in practice. In contrast, the generalization score of 0.99992 demonstrates that the model is highly robust, capable of representing unseen but valid cases without overfitting. Further audit and analysis identified three anomalous transitions: “Start” directly followed by “DELETE,” “Start” followed by “SIAP REGISTRASI” without prior “ADD,” and “ADD” directly followed by “END.” Expert validation confirmed that these anomalies were not user-driven but caused by technical issues such as delayed log writing (non-atomic transactions) and timestamp overflow errors. To mitigate such anomalies, this study recommends enforcing ACID principles—particularly atomicity—along with strict timestamp validation and automatic correction of invalid log formats. The findings highlight that process mining is not only effective for modeling real-world academic processes but also serves as a diagnostic tool for detecting systematic deviations and improving system reliability
Co-Authors Abdurrahman Al Afifi Abid Fauzanu Adi Nuratmojo Ahmad Muflih Nawir Al Ghozali, Yazid Angelia Brigitta Maharani M.P Angelina Prima Kurniati Anisa Herdiani Aristyo Hadikusuma Christian Wahyu Pambayun Dewa Ayu Putu Rahyuni Dinda Gazella Dyvanno Pramana Caesario Eko Darwiyanto Erdiansyah, Muhammad Farras Fitri Handayani Gana Permana Ariyanzah Giffarinda, Raihan Ekaputra Guntur Prabawa Kusuma Hendra Lesmana Putra Hendrianto Suryo Ardi Nugroho Herdiani , Anisa I Kadek Andrean Pramana Putra I Nyoman Hendra Laksmana Ilham Kamil Noviandi Indra Lukmana Sardi Iskandar, Fahry Fauzan Joseph, Aaron Josua Romario Simanjuntak Kemas Rahmat Saleh Wiharja M. Mujahid Biagi Usama Mahendra Dwifebri Purbolaksono Mahesa, Indra Mira Kania Sabariah Mira Sabariah Moch. Irfandi Susanto Mohammad Fariz Ikhsan Monterico Adrian Muhammad Afriyano Muhammad Bambang Hidayanto Muhammad Wanda Wibisono Muthia Bianda Muthia Khairunissa Nasywa , Aini Natassya Amalia Anza Ni Putu Nurwita Pratami Wijaya Niam, Wildan Syukri Nungki Selviandro Nyoman Bogi Aditya Karna Pramoedya Syachrizalhaq Lyanda Pramoedya Syachrizalhaq Lyanda Raihan Sulthon Yaafi Ricky Darius Putra Setiabakti, Muhammad Tegar Zharfan Humam Seto Adi Prakasa Shinta Yulia Puspitasari Situmeang, Reinhard Efraim Siva Syarafina Tasyrika Nurul Hajar Tetuko Muhammad Hanurogo Tiara Lasya Azzara Yudi Priyadi Zhafran Hafizh Izdihar Riyadi Zulfikar Al Azhari