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All Journal Indonesian Journal of Educational Development (IJED) Journal of Information Technology, Software Engineering and Computer Science
Darni Paranita
Politeknik Teknologi Kimia Industri
Computer Science & IT Education Engineering

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Development of a PLC-based 4-level lift simulator as a learning medium for electric motor installation Daniel Maringga; Wanapri Pangaribuan; Jonner Manihuruk; Darni Paranita
Indonesian Journal of Educational Development (IJED) Vol. 6 No. 4 (2026): February 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/ijed.v6i4.5645

Abstract

The development of industrial automation requires learning media that are relevant to the needs of the world of work, particularly for mastering Programmable Logic Controllers (PLCs) in vocational education. This study aims to develop a four-storey lift simulator based on Omron CP1E PLC as a learning medium for the Electric Motor Installation subject in class XII TITL at SMK Negeri 5 Medan. The research method used the ADDIE model, which includes the stages of analysis, design, development, implementation, and evaluation. The research population consisted of 31 students using a total sampling technique. Data were obtained from questionnaires validated by media and subject-matter experts, as well as from student responses. The results showed that the media received a feasibility score of 89.3% from media experts and 92.5% from subject matter experts, categorised as highly feasible, and a student response score of 88.3%, categorised as very good. These findings indicate that PLC-based lift simulators are effective in improving students' understanding, motivation, and practical skills in industrial automation systems. The study recommends further development by integrating IoT or HMI to more closely resemble real industrial systems.
Optimasi Klasifikasi Pola Detak Jantung Menggunakan Particle Swarm Optimization (PSO) dan Algoritma XGBoost Ichwanul Muslim Karo Karo; Justaman Arifin Karo Karo; Manan Ginting; Darni Paranita; Ratna Kristina Tarigan; Maulidna Maulidna
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 4 No. 4 (2026): Volume 4 Number 4 October 2026 (Issue in Progress)
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v4i4.372

Abstract

Pemantauan detak jantung merupakan salah satu pendekatan penting dalam mendukung deteksi dini gangguan kardiovaskular. Perkembangan Internet of Things (IoT) memungkinkan proses akuisisi data fisiologis dilakukan secara real-time melalui perangkat wearable, namun pemanfaatan data tersebut masih menghadapi tantangan dalam menghasilkan model klasifikasi yang akurat. Penelitian ini bertujuan mengoptimalkan proses klasifikasi pola detak jantung normal dan abnormal menggunakan algoritma Extreme Gradient Boosting (XGBoost) yang dipadukan dengan Particle Swarm Optimization (PSO) sebagai metode hyperparameter tuning. Dataset penelitian diperoleh dari hasil pengukuran detak jantung mahasiswa Program Studi Ilmu Komputer Universitas Negeri Medan menggunakan sensor MAX30102 yang terintegrasi pada perangkat IoT berbasis ESP32-C3 Mini. Tahapan penelitian meliputi akuisisi data, preprocessing, ekstraksi fitur statistik, pembangunan model baseline XGBoost, optimasi threshold klasifikasi menggunakan PSO, serta evaluasi performa model berdasarkan metrik accuracy, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa optimasi PSO mampu meningkatkan performa model dari akurasi 90% (baseline) menjadi 100%, dengan threshold optimal pada rentang 68,44–97,82 BPM yang memberikan proses inferensi sederhana dan cepat. Temuan ini menunjukkan bahwa integrasi PSO dengan XGBoost efektif dan efisien untuk diterapkan pada sistem klasifikasi detak jantung berbasis IoT secara real-time
Co-Authors Daniel Maringga Ichwanul Muslim Karo Karo Jonner Manihuruk Justaman Arifin Karo Karo Manan Ginting Maulidna, Maulidna Ratna Kristina Tarigan Wanapri Pangaribuan