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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering)
Hanif Rifai Adha
Universitas Negeri Malang
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

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DRE!: A RULE-BASED SOFTWARE REQUIREMENT EXTRACTION FRAMEWORK FOR INDONESIAN DOCUMENTS Moh. Zulfiqar Naufal Maulana; Ahmad Reza Adrian; Fathan Alfariel Adhyaksa; Didik Dwi Prasetya; Jevri Tri Ardiansyah; Hanif Rifai Adha
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.9357

Abstract

Extracting software requirements from descriptive documents is a crucial yet challenging phase in software engineering, par-ticularly when performed manually. This research proposes DRE!, a framework for automatically extracting functional requirements from Indonesian-language system descriptions. The employed methodology applies a concise workflow that begins with data acquisition, involving a system description and a predefined list of actors. The process continues with preprocessing, word dependency parsing for grammatical analysis, actor detection featuring a previous-sentence refer-ence mechanism, and requirement construction using an ac-tor-centric template. The workflow concludes with a similarity check (cosine similarity) for redundancy elimination. The framework was evaluated on eight software description da-tasets. The evaluation results demonstrate promising perfor-mance, with F1-Scores on seven of the eight datasets ranging from 0.76 to 0.88. Peak performance was recorded on the "EduLearn" dataset (F1-Score 0.88). However, an anomaly was identified in the "LogiWare" dataset (F1-Score 0.52), which was attributed to a high rate of False Positives. This finding indicates that DRE! is effective in extracting require-ments, but its performance is highly influenced by the clarity and linguistic style of the source documents.
Monitoring and Analysis of Induction Motor Behavior Using Haiwell Cloud SCADA with Tension Control Method Hanif Rifai Adha; Daeng Rahmatullah; Danang Arengga W
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 9 No. 2 (2026): August
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v9n2.p79-83

Abstract

In the modern industrial sector, monitoring the condition of induction motors is the main key to maintaining efficiency and reliability. Internet of Things (IoT) technology in the monitoring system can be done in real-time, to provide convenience in monitoring induction performance. Haiwell Cloud SCADA-based monitoring system to analyze the behavior of induction motors in real-time voltage, current, speed, frequency, and temperature. This system integrates a tension control method using a magnetic powder brake to simulate changes in the load dynamically. The results show that at a low torque of 0 – 6 Nm, the induction motor operates stably at a speed close to synchronous with a low stator current. However, at torques above 8 Nm, there is a significant voltage drop, and the stator current increases four times compared to the nominal current, and there is a temperature increase of up to 35oC, which represents an increase in power losses. This research offers a combination of IoT-based monitoring and tension control methods. IoT-based monitoring systems help users easily monitor the performance of induction motors in real-time and anticipate potential problems before failures occur.
Co-Authors Ahmad Reza Adrian Danang Arengga W Didik Dwi Prasetya Fathan Alfariel Adhyaksa Jevri Tri Ardiansyah Moh. Zulfiqar Naufal Maulana Rahmatullah, Daeng