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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Development Research Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Electrical Engineering and Computer Science
Cahyaningtyas Sekar Wahyuni
Institut Teknologi Sepuluh Nopember
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Social Sciences

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Anomaly Detection based on Control-flow Pattern of Parallel Business Processes Hendra Darmawan; Riyanarto Sarno; Adhatus Solichah Ahmadiyah; Kelly Rossa Sungkono; Cahyaningtyas Sekar Wahyuni
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.10568

Abstract

The purpose of this paper was to discover an anomalous-free business process model from event logs. The process discovery was conducted using a graph database, specifically using Neo4J tool involving trace clustering and data filtering processes. We also developed a control-flow pattern to address, AND relation between activities named parallel business process. The result showed that the proposed method improved the precision value of the generated business process model from 0.64 to 0.81 compared to the existing algorithm. The better outcome is constructed by applying trace clustering and data filtering to remove the anomaly on the event log as well as discovering parallel (AND) relation between activities.
Developing Corpora using Wikipedia and Word2vec for Word Sense Disambiguation Farza Nurifan; Riyanarto Sarno; Cahyaningtyas Sekar Wahyuni
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1239-1246

Abstract

Word Sense Disambiguation (WSD) is one of the most difficult problems in the artificial intelligence field or well known as AI-hard or AI-complete. A lot of problems can be solved using word sense disambiguation approaches like sentiment analysis, machine translation, search engine relevance, coherence, anaphora resolution, and inference. In this paper, we do research to solve WSD problem with two small corpora. We propose the use of Word2vec and Wikipedia to develop the corpora. After developing the corpora, we measure the sentence similarity with the corpora using cosine similarity to determine the meaning of the ambiguous word. Lastly, to improve accuracy, we use Lesk algorithms and Wu Palmer similarity to deal with problems when there is no word from a sentence in the corpora (we call it as semantic similarity). The results of our research show an 86.94% accuracy rate and the semantic similarity improve the accuracy rate by 12.96% in determining the meaning of ambiguous words.
Pemodelan dan Evaluasi Proses Bisnis Berdasarkan Hasil Ekstraksi Event Log dengan Menerapkan Process Mining pada Divisi Produksi PT. Kutai Timber Indonesia Kota Probolinggo Cahyaningtyas Sekar Wahyuni; Nanang Yudi Setiawan; Ismiarta Aknuranda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.751 KB)

Abstract

Kutai Timber Indonesia Kota Probolinggo is a manufacturing company focusing on a timber production and marketing in Indonesia. In such a large company, Standard Operational Procedure (SOP) is definetly used to support the business process. In fact, there is a certain deviation from what is expected to happen and what is actually happened. This deviation might lead to fraud. Because of this, evaluation should be done so that this deviation will not harm the company. In this case, the evaluation is done by extracting event log from the ERP using Disco Tools and ProM Tools and implementing Process Mining as a method. It was found that there are 46 cases do not match the SOP from total 68 cases received in a month. The evaluation results show that the SOP model has fitness 0.88 and structural appropriateness 1.0 because the generated model is derived from YAWL simulation, so the process flow fits to the expected business process. Meanwhile, the model which is generated from event log ERP system has fitness 0.81 and structural appropriateness 0.421 because the activity contained in ERP has many variations and inconsistencies such as repetitive activities, deleted activities, and inserted activities, so that the model can not fully described all traces in the event log.
The Redesign of Proposal Seminar Process Using Business Process Modelling and the Devil’s Quadrangle Framework Wahyuni, Cahyaningtyas Sekar; Fahmi, Mohammad; Trismawati
Journal of Development Research Vol. 9 No. 2 (2025): Volume 9, Number 2, November 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v9i2.484

Abstract

The proposal seminar is a key academic milestone, yet many institutions still manage it manually, leading to delays, repeated revisions, fragmented documentation, and high administrative workload. Few studies, however, examine lightweight, low-cost approaches for improving such academic workflows without relying on full automation. This study analyses the proposal-seminar process by translating the existing SOP and administrative guidelines into a BPMN model and evaluating its performance using the Devil’s Quadrangle framework. The as-is model reveals issues across all four dimensions, i.e. long cycle times, high process effort, inconsistent documentation, and limited flexibility. A lightweight to-be process is proposed, emphasizing simplification, standardization, and the use of existing digital tools such as Google Forms, shared folders, and templates. Evaluation results show positive improvements across time, cost, and quality, demonstrating that modest interventions can enhance academic administrative processes. The study also offers practical implications, showing that faculties can implement these enhancements immediately using existing resources without additional budget or IT infrastructure. Future work may include quantitative performance measurement and gradual integration of automation to further strengthen process efficiency.
Co-Authors Ahmadiyah, Adhatus Solichah Farza Nurifan Hendra Darmawan Ismiarta Aknuranda Mohammad Fahmi Nanang Yudi Setiawan Riyanarto Sarno Sungkono, B.J. Santosa Trismawati