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All Journal Mechatronics, Electrical Power, and Vehicular Technology IPTEK The Journal for Technology and Science Bina Gogik: Jurnal Ilmiah Pendidikan Guru Sekolah Dasar
Amin Amin
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Computer Science & IT Electrical & Electronics Engineering Other

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ANALISIS PENGELOLAAN SAMPAH BERKELANJUTAN PADA WILAYAH PERKOTAAN DI INDONESIA Ade Fia Rahmawati; Amin Amin; Rasminto Rasminto; Fetro Dola Syamsu
Bina Gogik : Jurnal Ilmiah Pendidikan Guru Sekolah Dasar Vol 8, No 1 (2021): Bina Gogik: Jurnal Ilmiah Pendidikan Guru Sekolah Dasar
Publisher : Bina Gogik: Jurnal Ilmiah Pendidikan Guru Sekolah Dasar

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Abstract

Abstract This study aims to determine the municipal solid waste management system in Indonesia and to determine the extent to which the sustainable concept is applied in municipal solid waste management. The research method used is a literature study, with descriptive writing techniques and making books, encyclopedias, and data from previous studies that have relevance as research analysis materials. The results of the analysis show that urban area produces 70% of waste generation and as much as 32% of unmanaged waste. This is because the level of public concern for the environment is low, only 0.72. The average monthly expenditure figure as a form of meeting food and non-food needs increases to a minimum value of Rp. 400,000 and a maximum of Rp. 1,200,000. Humans cannot be separated from activities that produce waste so that the form of reduction and management is the key to solving the waste problem.that the activities of urban communities have resulted in quite high waste generation. The implementation of the waste management system still refers to the conventional method with the form of collect-transport-waste habits and burdens the burden of waste management at the final stage with a reactive approach so that it can be said that the implementation of municipal solid waste management is still low. Efforts to achieve the goals in the SDGs and fulfill the existing aspects of sustainable municipal waste management that have not been implemented properly, it is necessary to increase environmental awareness by emphasizing socialization and education for the community in seeing the waste itself so as to form behavior patterns that support the reduction 1and processing of municipal waste. Keywords: Implementation Analysis, Sustainable Waste Management, Characteristics of Municipal Waste.
PEMFC Optimization Strategy with Auxiliary Power Source in Fuel Cell Hybrid Vehicle Tinton Dwi Atmaja; Amin Amin
IPTEK The Journal for Technology and Science Vol 23, No 1 (2012)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v23i1.17

Abstract

one of the present-day implementation of fuel cell is acting as main power source in Fuel Cell Hybrid Vehicle (FCHV). This paper proposes some strategies to optimize the performance of Polymer Electrolyte Membrane Fuel Cell (PEMFC) implanted with auxiliary power source to construct a proper FCHV hybridization. The strategies consist of the most updated optimization method determined from three point of view i.e. Energy Storage System (ESS), hybridization topology and control system analysis. The goal of these strategies is to achieve an optimum hybridization with long lifetime, low cost, high efficiency, and hydrogen consumption rate improvement. The energy storage system strategy considers battery, supercapacitor, and high-speed flywheel as the most promising alternative auxiliary power source. The hybridization topology strategy analyzes the using of multiple storage devices injected with electronic components to bear a higher fuel economy and cost saving. The control system strategy employs nonlinear control system to optimize the ripple factor of the voltage and the current and using the AOC-EMS system to improve the hydrogen consumption rate. ECMS and BERS strategy based on Time-Triggered Controller Area Network (TTCAN) also promoted to optimize hydrogen consumption rate from recovered kinetic energy while in braking regeneration mode.
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.
Co-Authors Aam Muharam Ade Fia Rahmawati Eka Rakhman Priandana Fetro Dola Syamsu Irwan Purnama Muhammad Ridho Rosa Muhammad Zakiyullah Romdlony Rashad Abul Khayr Rasminto Rasminto Ridlho Khoirul Fachri Sudarmono Sasmono Tinton Dwi Atmaja