Analisis Resiko Transformasi Mobil Berbahan Minyak ke Mobil Listrik Dengan Decision Tree

Abdul Halim Anshor; Sugeng Budi  Rahardjo

doi:10.47065/bit.v4i4.924

Abdul Halim Anshor * Universitas Pelita Bangsa, Indonesia
Sugeng Budi Rahardjo Universitas Pelita Bangsa, Indonesia

DOI: https://doi.org/10.47065/bit.v4i4.924

Keywords: Transportasi, Bahan Bakar Minyak (BBM), Mobil, Listrik, Polutan

Abstract

The development of the world of transportation has increased rapidly, this is marked by the emergence of electric cars. The changes experienced by society are so fast to switch from fuel cars to electric cars. Electric cars have various advantages of being environmentally friendly, not producing pollutant gas emissions, being faster, cost-effective and more comfortable. In addition to the advantages provided there are also several risks from the transformation of oil-fueled (bbm) cars into electric cars including expensive car prices, charging infrastructure, shorter mileage, electric car batteries have a limited lifespan. This study aims to analyze the risk mitigation of transforming oil-fueled cars into electric cars. In this case study, the researcher uses two kinds of attributes, namely the price of the car and the emissions it produces. The method used is to calculate each gain information from the attribute used by looking at the highest gain value, it will be known how big the risk is for the transformation of oil-fueled cars (bbm) to electric cars. and what factors (attributes) most determine the risk. . It is hoped that this research can help electric car developers and entrepreneurs to continue to improve the performance of existing electric cars.

References

S. A. Arnomo, A. A. Fajrin, Y. Siyamto, and S. F. N. Sadikin, “Evaluasi Model Decision Tree Pada Keputusan Kelayakan Kredit,” J. Desain Dan Anal. Teknol., vol. 2, no. 2, pp. 200–206, Jul. 2023, doi: 10.58520/jddat.v2i2.39.

N. N. Habibah, A. Nazir, I. Iskandar, F. Syafria, L. Oktavia, and I. Syurfi, “Pemodelan Klasifikasi Untuk Menentukan Penyakit Diabetes dengan Faktor Penyebab Menggunakan Decision Tree C4.5 Pada Wanita,” J. Sist. Komput. Dan Inform. JSON, vol. 4, no. 4, p. 654, Jun. 2023, doi: 10.30865/json.v4i4.6202.

N. Handayani, H. Wahyono, J. Trianto, and D. S. Permana, “Prediksi Tingkat Risiko Kredit dengan Data Mining Menggunakan Algoritma Decision Tree C.45,” JURIKOM J. Ris. Komput., vol. 8, no. 6, p. 198, Dec. 2021, doi: 10.30865/jurikom.v8i6.3643.

L. N. Rani, “Klasifikasi Nasabah Menggunakan Algoritma C4.5 Sebagai Dasar Pemberian Kredit,” INOVTEK Polbeng - Seri Inform., vol. 1, no. 2, p. 126, Nov. 2016, doi: 10.35314/isi.v1i2.131.

K. Sinaga, E. Buulolo, and B. Nadeak, “Implementasi Algoritma Decision Tree_J48 untuk Memprediksi Resiko Kredit pada Koperasi Simpan Pinjam (Studi Kasus : Kofipindo Lubuk Pakam),” KOMIK Konf. Nas. Teknol. Inf. Dan Komput., vol. 3, no. 1, Nov. 2019, doi: 10.30865/komik.v3i1.1561.

F. Elfaladonna and A. Rahmadani, “ANALISA METODE CLASSIFICATION-DECISSION TREE DAN ALGORITMA C.45 UNTUK MEMPREDIKSI PENYAKIT DIABETES DENGAN MENGGUNAKAN APLIKASI RAPID MINER,” SINTECH Sci. Inf. Technol. J., vol. 2, no. 1, pp. 10–17, Apr. 2019, doi: 10.31598/sintechjournal.v2i1.293.

G. Gardos and J. O. Cole, “Maintenance antipsychotic therapy: is the cure worse than the disease?,” Am. J. Psychiatry, vol. 133, no. 1, pp. 32–36, Jan. 1976, doi: 10.1176/ajp.133.1.32.

F. Elfaladonna and A. Rahmadani, “ANALISA METODE CLASSIFICATION-DECISSION TREE DAN ALGORITMA C.45 UNTUK MEMPREDIKSI PENYAKIT DIABETES DENGAN MENGGUNAKAN APLIKASI RAPID MINER,” SINTECH Sci. Inf. Technol. J., vol. 2, no. 1, pp. 10–17, Apr. 2019, doi: 10.31598/sintechjournal.v2i1.293.

K. S. Bose and R. H. Sarma, “Delineation of the intimate details of the backbone conformation of pyridine nucleotide coenzymes in aqueous solution,” Biochem. Biophys. Res. Commun., vol. 66, no. 4, pp. 1173–1179, Oct. 1975, doi: 10.1016/0006-291x(75)90482-9.

D. Telaumbanua and I. Kurniawati, “Penerapan Algoritma C4.5 Untuk Klasifikasi Kepuasan Pelanggan Pada Jasa Layanan Pengiriman,” JoMMiT J. Multi Media Dan IT, vol. 6, no. 1, Jul. 2022, doi: 10.46961/jommit.v6i1.524.

M. M. Santoni, N. Chamidah, and N. Matondang, “Prediksi Hipertensi menggunakan Decision Tree, Naïve Bayes dan Artificial Neural Network pada software KNIME,” Techno.Com, vol. 19, no. 4, pp. 353–363, Nov. 2020, doi: 10.33633/tc.v19i4.3872.

A. Pratama, A. A. Wicaksana, and A. Razi, “Analisa Kesesuaian Lahan Tanah Untuk Tanaman Padi (Oryza Sativa L.) Dengan Metode Decision Tree Berbasis Web (Studi Kasus Kabupaten Aceh Utara),” J. Inform. Kaputama JIK, vol. 6, no. 1, pp. 1–23, Jan. 2022, doi: 10.59697/jik.v6i1.128.

E.- Lia and S. S. Wibagso, “Implementasi Algoritma C4.5 Untuk Penentuan Produk Terlaris (Studi Kasus : Toko XYZ Palembang),” J. Teknol. Sist. Inf., vol. 3, no. 2, pp. 243–255, Sep. 2022, doi: 10.35957/jtsi.v3i2.2991.

M. Hasan, “PREDIKSI TINGKAT KELANCARAN PEMBAYARAN KREDIT BANK MENGGUNAKAN ALGORITMA NAÏVE BAYES BERBASIS FORWARD SELECTION,” Ilk. J. Ilm., vol. 9, no. 3, pp. 317–324, Dec. 2017, doi: 10.33096/ilkom.v9i3.163.317-324.

L. R. Haidar, E. Sediyono, and A. Iriani, “ANALISA PREDIKSI MAHASISWA DROP OUT MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA ID3 dan C4.5,” J. Transform., vol. 17, no. 2, p. 97, Jan. 2020, doi: 10.26623/transformatika.v17i2.1609.

R. A. Charisma, S. Pamungkas, R. A. Saputra, N. G. Ramadhan, and F. D. Adhinata, “Analisis Penerapan Metode Ensembled Learning Decision Tree Pada Klasifikasi Virus Hepatitis C,” J. Comput. Syst. Inform. JoSYC, vol. 3, no. 4, pp. 405–409, Sep. 2022, doi: 10.47065/josyc.v3i4.2064.

A. Arifyan and - Tjahjanto, “Analisis Perbandingan Optimasi berbasis Evolutionary pada Algoritma Klasifikasi Penentuan Profile Resiko Nasabah,” Techno.Com, vol. 21, no. 3, pp. 565–578, Aug. 2022, doi: 10.33633/tc.v21i3.6459.

Aditya Quantano Surbakti, Regiolina Hayami, and Januar Al Amien, “Analisa Tanggapan Terhadap Psbb Di Indonesia Dengan Algoritma Decision Tree Pada Twitter,” J. CoSciTech Comput. Sci. Inf. Technol., vol. 2, no. 2, pp. 91–97, Dec. 2021, doi: 10.37859/coscitech.v2i2.2851.