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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Ilmu Pekerjaan Sosial SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan
Aam Muharam
Unknown Affiliation
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Public Health Social Sciences

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LSTM-based forecasting on electric vehicles battery swapping demand: Addressing infrastructure challenge in Indonesia Muhammad Zakiyullah Romdlony; Rashad Abul Khayr; Aam Muharam; Eka Rakhman Priandana; Sudarmono Sasmono; Muhammad Ridho Rosa; Irwan Purnama; Amin Amin; Ridlho Khoirul Fachri
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 1 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.72-79

Abstract

This article aims to design a model for forecasting the number of vehicles arriving at the battery swap station (BSS). In our case, we study the relevance of the proposed approach given the rapid increase in electric vehicle users in Indonesia. Due to the vehicle electrification program from the government of Indonesia and the lack of supporting infrastructure, forecasting battery swap demands is very important for charging schedules. Forecasting the number of vehicles is done using machine learning with the long short-term memory (LSTM) method. The method is used to predict sequential data because of its ability to review previous data in addition to the current input. The result of the forecasting using the LSTM method yields a prediction score using the root-mean-square error (RMSE) of 2.3079 x 10-6 . The forecasted data can be combined with the battery charging model to acquire predicted hourly battery availability that can be processed further for optimization and scheduling.
Pengaruh Strategi Coping Korban Penyalahgunnaan NAPZA Perempuan Terhadap Kecenderungan Relapse Ismudiyati, Yuti Sri; Aam Muharam
Jurnal Ilmu Pekerjaan Sosial Vol. 3 No. 1 (2024): Vol. 3 No. 1 Tahun 2024
Publisher : Prodi Kesejahteraan Sosial Universitas Binawan

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Abstract

Penelitian ini bertujuan untuk menguji pengaruh strategi coping terhadap kecenderungan relapse pada korban penyalahgunaan NAPZA (KPN) perempuan. Pendekatan kuantitatif digunakan dalam penelitian ini dengan melibatkan 43 responden dari tiga Institusi Penerima Wajib Lapor (IPWL) di Jawa Barat. Data dikumpulkan melalui angket, FGD, observasi, dan studi dokumentasi. Strategi coping diukur melalui dua dimensi, Problem Focused Coping (PFC) dan Emotional Focused Coping (EFC), sedangkan kecenderungan relapse diukur melalui lima aspek, seperti kecemasan dan dorongan untuk kembali menggunakan obat. Analisis data dilakukan dengan uji korelasi Pearson dan regresi linier berganda. Hasil penelitian menunjukkan bahwa mayoritas responden cenderung menggunakan strategi coping EFC (67,44%) dan memiliki kecenderungan relapse dalam kategori sedang (60,47%). Namun, uji regresi menunjukkan bahwa baik PFC maupun EFC tidak memiliki pengaruh signifikan terhadap kecenderungan relapse. Kesimpulannya, meskipun strategi coping digunakan oleh KPN perempuan, hal tersebut belum mampu secara signifikan mengurangi kecenderungan relapse. Hal ini mengindikasikan perlunya intervensi yang lebih efektif dan komprehensif untuk mendukung pemulihan KPN perempuan dari penyalahgunaan NAPZA.
Performance Study of 13.56 Mhz Full-Bridge Inverter on Wireless Power Transfer System for Electric Vehicle Charging MT, Meky Taba Orlando; Hery Sudaryanto; Iqbal Ahmad Dahlan; Aam Muharam
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 4 (2025): October
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17448266

Abstract

This research developed a series of GaN MOSFET-based full bridge inverters (TP90H050) with UCC27524 drivers for Wireless Power Transfer (WPT) applications of military vehicles, which are targeted to operate at the ISM frequency of 13.56 MHz. The LTspice simulation showed a potential for near-sinusoidal waves (THD<1%) and a power efficiency of ≈2.13 kW at 50Ω. However, the PCB prototype was only capable of stable operation up to 666.66 kHz with a clean box wave output, and separate tests on fourth-order LC–Butterworth filters achieved a sinusoidal signal with an efficiency of ≈75%. Failure analysis attributed MOSFET damage to switching path length, parasitic effects, and protection limitations. Significant differences were found between the simulation and the implementation at 666.66 kHz, where the hardware RMS voltage was only ≈33% of the simulation. Improvements going forward include the use of precision oscillators/DDSs, drivers with protective features (UVLO and active Miller-clamp),  calibrated snubber, and closed controls
Co-Authors Amin Amin Eka Rakhman Priandana Hery Sudaryanto Iqbal Ahmad Dahlan Irwan Purnama Ismudiyati, Yuti Sri MT, Meky Taba Orlando Muhammad Ridho Rosa Muhammad Zakiyullah Romdlony Rashad Abul Khayr Ridlho Khoirul Fachri Sudarmono Sasmono