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Impact of Temporary Voltage Grid Disturbance to Running Speed of Three Phase Induction Motor Haidar Ali Fathin Naufal; Mochammad Facta; Byan Bagas Pradana; Sidiq Budi Perkasa
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 3 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i3.476

Abstract

In the electric power system, especially the distribution system, several disturbances may occur. Voltage grid disturbance is an important power quality problem on the distribution side especially for industry with dynamics loads consisting many three phase electric motors. As the voltage grid disturbance appears, the electrical load especially an induction motor is expected to keep running on the rated speed. This motor condition is also well known as ride-through capability. In this article, the influences of temporary voltage grid disturbances are analysed to know the running speed of an induction motor based on difference in moment of inertia and give further information about the ride through capability by using PSIM simulation as an experimental tool. There are various types of voltage grid disturbance drop will be proposed. The proposed types of voltage grid disturbance to be observed are short duration sag, long duration sag, momentary swell and momentary interruption. The experiential conventional methods observed in the works are direct on line, wye-delta and autotransformer. The PSIM simulation results demonstrate that increasing the rotor moment of inertia from 0.4 to 0.8 enhances the dynamic resilience of the motor by reducing the average speed deviation by approximately 9.76% during a long-duration voltage sag. Meanwhile, the momentary interruption is identified as the most severe grid disturbance, as it leads to a complete loss of electromagnetic torque and consequently causes motor stalling. These findings highlight that the mechanical inertia of the drive system plays a critical role in maintaining motor stability during abnormal supply conditions. Finally, this article provides quantitative evidence on the combined influence of inertia and disturbance severity, offering valuable insight for the optimal design of protection schemes and motor selection criteria in industrial applications.
Penerapan Artificial Intelligence untuk Metode Cooperative Learning Guna Mendorong Keaktifan Siswa: Application of Artificial Intelligence for Cooperative Learning Methods to Encourage Student Engagement Aditya Putra Pradinawan; Astri Wulandari; Byan Bagas Pradana; Haidar Ali Fathin Naufal; Intan Laily Muflikhah; Shafira Adhelia; Sidiq Budi
JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) VOL. 10 NOMOR 2 JULI 2026 JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat)
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jppm.v10i2.30805

Abstract

Transformasi pendidikan abad ke-21 menuntut pendidik untuk berinovasi dalam menyelenggarakan pembelajaran yang berpusat pada siswa. Salah satu tantangan utama di SMPIP Nihadul Qulub Ungaran adalah terbatasnya kemampuan guru dalam menciptakan media pembelajaran interaktif yang berdampak pada rendahnya keaktifan siswa. Kegiatan pengabdian ini bertujuan untuk meningkatkan kompetensi dan kreativitas guru melalui pemanfaatan Artificial Intelligence (AI), khususnya platform NotebookLM, dalam merancang metode Cooperative Learning. Metode pelaksanaan menggunakan pendekatan Participatory Action melalui lokakarya yang terdiri dari empat tahap: perencanaan, analisis, implementasi, dan evaluasi. Peserta kegiatan adalah 20 orang tenaga pendidik. Keberhasilan program dievaluasi menggunakan tes kognitif dan kuesioner kepuasan berskala Likert. Hasil evaluasi kognitif menunjukkan peningkatan pengetahuan yang signifikan dari nilai rerata 59,87 menjadi 81,47. Keberhasilan pelatihan ini juga dibuktikan secara riil dengan dihasilkannya 20 dokumen rancangan modul ajar berbasis AI oleh peserta secara mandiri. Evaluasi kepuasan peserta juga menunjukkan hasil sangat positif dengan persentase kepuasan rata-rata sebesar 92%. Kesimpulannya, pengintegrasian NotebookLM terbukti valid dan efektif dalam memfasilitasi guru mempersiapkan pembelajaran kooperatif guna mendorong keaktifan siswa.