Optimasi Performa Kendaraan Jenis Internal Combustion Engine, Hybrid Electric Vehicle Dan Plug-In Hybrid Electric Vehicle Menggunakan Metode Taguchi Dengan Pendekatan PCR-TOPSIS

Pratiwi, Rossy Budhi (2019) Optimasi Performa Kendaraan Jenis Internal Combustion Engine, Hybrid Electric Vehicle Dan Plug-In Hybrid Electric Vehicle Menggunakan Metode Taguchi Dengan Pendekatan PCR-TOPSIS. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kebutuhan energi nasional hingga tahun 2050 diprediksikan akan terus meningkat akibat kebutuhan energi pada sektor transportasi dan industri yang tinggi. Sumber energi yang digunakan saat ini mayoritas berasal dari energi fosil. Energi fosil merupakan sumber energi tak terbarukan sehingga lambat laun akan habis. Penurunan cadangan energi fosil tersebut menjadi salah satu faktor untuk mulai menggunakan Energi Baru dan Terbarukan (EBT). Inovasi yang diberikan adalah penggunaan bahan bakar nabati (biofuel). Selain penggunaan biofuel, pengembangan teknologi pada bidang otomotif dirasa perlu untuk mengatasi permasalahan tersebut. Penerapan tekonologi otomotif berbasis sumber energi listrik perlu ditingkatkan untuk menggantikan peran kendaraan konvensional. Oleh karena itu, penelitian ini bertujuan untuk menentukan performa kendaraan terbaik dengan kombinasi bahan bakar nabati dan pembebanan pada tiga jenis kendaraan yaitu ICE, HEV dan PHEV menggunakan metode Taguchi dengan pendekatan PCR-TOPSIS. Hasil analisis menunjukkan bahwa hasil uji performansi faktor pembebanan memiliki kontribusi yang lebih besar dibandingkan dengan bahan bakar campuran. Kemudian pada kondisi optimum didapatkan kombinasi beban 8A dan bahan bakar campuran E15 pada kendaraan jenis ICE, beban 7A dan bahan bakar campuran E20 pada kendaraan jenis HEV serta beban 8A dan bahan bakar campuran E10 pada kendaraan jenis PHEV. ===================================================================================================================================
It is predicted that the necessity of nationwide power/energy supply until 2050 will keep on rising due to the increasing demand of energy for both transportation and industry sectors. Currently the majority of power source is exhausted from fossil-based energy. However, fossil-generated power which is known as unreplenished power source will cease to exist gradually. The depletion of this stored power source becomes one of many denominator for us to start using the New and Replenishable Energy or known as renewable energy. One of the more common substitute in this new iteration of power source is the use of biofuel. Besides that, an advancement in automotive technology deemed to be more necessary than previously in order to further the biofuel application. An assimilation of electric-based technology for automotive is also needed in preparation to replace a more conventional vehicles. For this reason, the research is conducted to find the best vehicle performance based on biofuel in comparison to the application of weight for three vehicle variation which is ICE, HEV and PHEV by using Taguchi method in combination with PCR-TOPSIS approach. The result shows that weighted test contributes in a bigger value than the one using an alternative fuel variation. Based on the research conducted in an optimized condition, the weight test has a value of 8A while the one using mixed fuel components has a value of E15 for ICE vehicle, then another 7A compared to E20 for HEV, and lastly the value of 8A compared to E10 for PHEV.

Item Type: Thesis (Other)
Additional Information: RSSt 519.86 Pra o-1 2019
Uncontrolled Keywords: PCR-TOPSIS, Performa Kendaraan, Taguchi
Subjects: H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics
H Social Sciences > HA Statistics > HA31.35 Analysis of variance
H Social Sciences > HA Statistics > HA31.7 Estimation
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Rossy Budhi Pratiwi
Date Deposited: 30 Sep 2024 07:51
Last Modified: 30 Sep 2024 07:51
URI: http://repository.its.ac.id/id/eprint/64425

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