?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=KINERJA+SUPPORT+VECTOR+REGRESSION+DAN+RANDOM+FOREST+REGRESSION+DALAM+PREDIKSI+KONSUMSI+BAHAN+BAKAR+KENDARAAN&rft.creator=Muhaymi%2C+Nurdin&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=001+Ilmu+pengetahuan&rft.subject=004+Pemrosesan+data+dan+ilmu+komputer&rft.subject=005+Pemrograman+komputer%2C+program+dan+data&rft.description=Permasalahan+lingkungan+dan+efisiensi+energi+menjadi+perhatian+global.+Salah+satu+sumber+emisi+terbesar+berasal+dari+sektor+transportasi%2C+khususnya+konsumsi+bahan+bakar+kendaraan.+Oleh+karena+itu%2C+dibutuhkan+sistem+prediksi+yang+akurat+untuk+membantu+pengambilan+keputusan+dalam+perencanaan+energi+dan+kebijakan+transportasi.%0D%0APenelitian+ini+bertujuan+untuk+membandingkan+kinerja+Support+Vector+Regression+(SVR)+dan+Random+Forest+Regression+(RFR)+dalam+memprediksi+konsumsi+bahan+bakar+kendaraan+berdasarkan+data+Fuel+Consumption+Ratings.+Fokus+prediksi+mencakup+konsumsi+bahan+bakar+di+wilayah+perkotaan+(CITY)%2C+jalan+raya+(HWY)%2C+dan+gabungan+keduanya+(COMB).+Evaluasi+dilakukan+menggunakan+metrik+Mean+Absolute+Error+(MAE)%2C+Root+Mean+Square+Error+(RMSE)%2C+dan+koefisien+determinasi+(R%C2%B2).+Hasil+penelitian+menunjukkan+bahwa+RFR+memberikan+performa+prediksi+yang+lebih+akurat+dibandingkan+SVR%2C+terutama+pada+data+CITY+dengan+nilai+R%C2%B2+sebesar+0%2C9402%2C+HWY+sebesar+0%2C8988%2C+dan+COMB+sebesar+0%2C9311.+%0D%0AKeunggulan+RFR+terletak+pada+kemampuannya+menangani+data+kompleks+serta+mengidentifikasi+variabel+yang+paling+berpengaruh+melalui+analisis+feature+importance.+Sementara+itu%2C+SVR+menunjukkan+performa+yang+kompetitif+pada+pola+data+yang+cenderung+linier%2C+namun+kurang+stabil+saat+menghadapi+variabel+yang+bersifat+fluktuatif.%0D%0AKata+Kunci%3A+konsumsi+bahan+bakar%2C+prediksi%2C+Random+Forest+Regression%2C+Support+Vector+Regression%2C+Grid+Search%0D%0A%0D%0AEnvironmental+issues+and+energy+efficiency+have+become+a+global+concern.+One+of+the+largest+sources+of+emissions+comes+from+the+transportation+sector%2C+particularly+vehicle+fuel+consumption.+Therefore%2C+an+accurate+prediction+system+is+needed+to+assist+in+decision-making+for+energy+planning+and+transportation+policies.%0D%0AThis+study+aims+to+compare+the+performance+of+Support+Vector+Regression+(SVR)+and+Random+Forest+Regression+(RFR)+in+predicting+vehicle+fuel+consumption+based+on+Fuel+Consumption+Ratings+data.+The+prediction+focuses+on+fuel+consumption+in+urban+areas+(CITY)%2C+highways+(HWY)%2C+and+a+combination+of+both+(COMB).+Evaluation+is+performed+using+metrics+such+as+Mean+Absolute+Error+(MAE)%2C+Root+Mean+Square+Error+(RMSE)%2C+and+the+coefficient+of+determination+(R%C2%B2).+The+results+show+that+RFR+provides+more+accurate+prediction+performance+compared+to+SVR%2C+especially+on+CITY+data+with+an+R%C2%B2+value+of+0.9402%2C+HWY+at+0.8988%2C+and+COMB+at+0.9311.+%0D%0AThe+strength+of+RFR+lies+in+its+ability+to+handle+complex+data+and+identify+the+most+influential+variables+through+feature+importance+analysis.+Meanwhile%2C+SVR+demonstrates+competitive+performance+on+data+patterns+that+tend+to+be+linear+but+becomes+less+stable+when+faced+with+fluctuating+variables.%0D%0AKeywords%3A+fuel+consumption%2C+prediction%2C+Random+Forest+Regression%2C+Support+Vector+Regression%2C+Grid+Search%0D%0A&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2025-03-21&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F88405%2F1%2FABSTRAK%2520%2528ABSTRACT%2529.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F88405%2F2%2Fskripsi_full.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F88405%2F3%2Fskripsi_tanpa_bab_pembahasan.pdf&rft.identifier=++Muhaymi%2C+Nurdin++(2025)+KINERJA+SUPPORT+VECTOR+REGRESSION+DAN+RANDOM+FOREST+REGRESSION+DALAM+PREDIKSI+KONSUMSI+BAHAN+BAKAR+KENDARAAN.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F88405%2F