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All Journal Jurnal Teknik ITS International Journal of Environmental, Sustainability, and Social Science
Adhe Budi Santoso
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Economics, Econometrics & Finance Engineering Environmental Science Social Sciences

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Estimasi Kanal dengan Pendekatan Linear Piece Wise untuk Mitigasi ICI pada Sistem OFDM Mobile Adhe Budi Santoso; Titiek Suryani; Gamantyo Hendrantoro
Jurnal Teknik ITS Vol 1, No 1 (2012)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (787.166 KB) | DOI: 10.12962/j23373539.v1i1.833

Abstract

Sistem transmisi OFDM merupakan sistem transmisi yang menggunakan beberapa buah frekuensi yang saling orthogonal. Transmisi OFDM digunakan karena dapat mengoptimalkan pemakaian spektrum, memiliki efisensi pemakaian frekuensi yang lebih baik  dan tahan terhadap frequency selective fading. Namun untuk aplikasi pada kanal OFDM Mobile, perubahan kanal terhadap waktu akibat Doppler akan menimbulkan interferensi yaitu berupa intercarrier-interference (ICI) pada OFDM yang dapat mempengaruhi performa kinerja sistem. Untuk itu dibutuhkan estimasi kanal untuk keperluan mitigasi ICI. Pada simulasi, estimasi pada kanal OFDM Mobile menggunakan pendekatan linier piece wise untuk keperluan Mitigasi intercarrier-interference (ICI), pada sistem transmisi ini baik dengan bantuan cyclic prefix (satu-slope) dan menggunakan bantuan adjacent symbol (dua-slope). Hasil akhir yang ingin dicapai adalah perbandingan dari hasil perhitungan BER pada kanal yang diestimasi dengan interpolasi linier piece wise yang menggunakan pencarian slope dengan metode satu slope yang memanfaatkan informasi dari cyclic prefix dengan yang menggunakan metode dua slope yang memanfaatkan informasi hasil estimasi titik tengah dari dua simbol yang saling berdekatan. Dari hasil simulasi  berdasarkan variasi banyaknya jumlah iterasi antara dua algoritama pada estimasi linier piece wise, dapat disimpulkan bahwa algoritma (two-slope) mampu mengestimasi kanal lebih baik daripada dengan menggunakan informasi dari cyclic prefix (one-slope), hal ini bisa dilihat dari error yang dihasilkan lebih kecil yaitu 2.10-1 - 4.10-5 untuk iterasi sebanyak 10 kali dengan fd=0.02, ini jauh lebih baik daripada yang dengan menggunakan metode (one-slope) yang memiliki error 3.10-1 - 9.10-5 untuk iterasi yang sama dengan nilai fd sama, lebih buruk 5.10-5 daripada two-slope di SNR 40.
Total Cot of Ownership of Electric Car and Internal Combustion Engine Car With Performance Normalization Santoso, Adhe Budi; Priyono, Bambang
International Journal of Environmental, Sustainability, and Social Science Vol. 7 No. 2 (2026): International Journal of Environmental, Sustainability, and Social Science (Mar
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/ijesss.v7i2.1087

Abstract

In the transportation sector, motorized vehicles are currently a contributor to pollution in Indonesia, producing CO2 emissions. In an effort to achieve environmentally friendly and low-carbon motorized vehicles, promoting electric cars to the public is an important strategy that is being pursued by countries throughout the world. The large target of converting ICE cars to electric cars requires a series of analyzes to accelerate efforts to convert the use of electric cars from various angles which will ultimately be successful as a promotional medium for potential electric car users. To carry out this analysis, there is one calculation method, namely calculating the total cost of ownership (TCO) of an electric car. This method has been studied in countries that are concerned with promoting the use of electric cars. In this research, we will present a calculation model for the TCO of electric cars and the TCO of conventional internal combustion engine (ICE) cars as a comparison. The cars analyzed in this research consist of several electric cars and ICE cars according to their respective performance levels, where for each electric car an analysis of several battery ownership schemes is also attempted, namely those owned by the car owner, rental batteries and those owned by the car owner. However, some components can be repaired. The calculation model will consist of capital and operational costs, namely the purchase price, resale value, government subsidies, retailer discounts, battery replacement costs, maintenance, insurance, vehicle tax and energy consumption costs.
Total Cot of Ownership of Electric Car and Internal Combustion Engine Car With Performance Normalization Santoso, Adhe Budi; Priyono, Bambang
International Journal of Environmental, Sustainability and Social Science Vol. 7 No. 2 (2026): International Journal of Environmental, Sustainability, and Social Science (Mar
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/ijesss.v7i2.1087

Abstract

In the transportation sector, motorized vehicles are currently a contributor to pollution in Indonesia, producing CO2 emissions. In an effort to achieve environmentally friendly and low-carbon motorized vehicles, promoting electric cars to the public is an important strategy that is being pursued by countries throughout the world. The large target of converting ICE cars to electric cars requires a series of analyzes to accelerate efforts to convert the use of electric cars from various angles which will ultimately be successful as a promotional medium for potential electric car users. To carry out this analysis, there is one calculation method, namely calculating the total cost of ownership (TCO) of an electric car. This method has been studied in countries that are concerned with promoting the use of electric cars. In this research, we will present a calculation model for the TCO of electric cars and the TCO of conventional internal combustion engine (ICE) cars as a comparison. The cars analyzed in this research consist of several electric cars and ICE cars according to their respective performance levels, where for each electric car an analysis of several battery ownership schemes is also attempted, namely those owned by the car owner, rental batteries and those owned by the car owner. However, some components can be repaired. The calculation model will consist of capital and operational costs, namely the purchase price, resale value, government subsidies, retailer discounts, battery replacement costs, maintenance, insurance, vehicle tax and energy consumption costs.
Co-Authors Bambang Priyono Gamantyo Hendrantoro Titiek Suryani