Sistem Pendukung Keputusan untuk Pemilihan Sepeda Motor bagi Mahasiswa dengan Menggunakan Metode Simple Additive Weighting (SAW)

Anggit Suryan Rohyan; Satria Fajar Dwi Kurniawan; Hendra Maulana; Nor Anisa

doi:10.30787/restia.v3i2.2067

Authors

Anggit Suryan Rohyan Sistem Informasi
Satria Fajar Dwi Kurniawan Sistem Informasi
Hendra Maulana Sistem Informasi
Nor Anisa Sistem Informasi

DOI:

https://doi.org/10.30787/restia.v3i2.2067

Keywords:

Decision support system, Simple Additive Weighting, Motorcycle selection, Transportation, Python

Abstract

Researchers conducted a selection process for motorcycles that align with the needs and financial conditions of students, as this process is often quite complex. This complexity arises from the wide range of options and the numerous criteria that must be considered, such as price, fuel efficiency, engine capacity, comfort level, and design aesthetics. The objective of this study is to design a Decision Support System (DSS) by implementing the Simple Additive Weighting (SAW) method to assist students in selecting the motorcycle that best fits their needs. The SAW method was chosen due to its effectiveness in handling multi-criteria decision-making problems by assigning weights to each criterion and calculating the preference value for each available alternative. The system was developed using a quantitative approach, with data collected through surveys and documentation of motorcycle specifications. The test results indicated that the system was capable of providing accurate and relevant recommendations based on user needs. Therefore, this system has the potential to serve as an effective tool in supporting students' motorcycle selection decisions.

Author Biographies

Anggit Suryan Rohyan, Sistem Informasi

Researchers conducted a selection process for motorcycles that align with the needs and financial conditions of students, as this process is often quite complex. This complexity arises from the wide range of options and the numerous criteria that must be considered, such as price, fuel efficiency, engine capacity, comfort level, and design aesthetics. The objective of this study is to design a Decision Support System (DSS) by implementing the Simple Additive Weighting (SAW) method to assist students in selecting the motorcycle that best fits their needs. The SAW method was chosen due to its effectiveness in handling multi-criteria decision-making problems by assigning weights to each criterion and calculating the preference value for each available alternative. The system was developed using a quantitative approach, with data collected through surveys and documentation of motorcycle specifications. The test results indicated that the system was capable of providing accurate and relevant recommendations based on user needs. Therefore, this system has the potential to serve as an effective tool in supporting students' motorcycle selection decisions.

Satria Fajar Dwi Kurniawan, Sistem Informasi

Researchers conducted a selection process for motorcycles that align with the needs and financial conditions of students, as this process is often quite complex. This complexity arises from the wide range of options and the numerous criteria that must be considered, such as price, fuel efficiency, engine capacity, comfort level, and design aesthetics. The objective of this study is to design a Decision Support System (DSS) by implementing the Simple Additive Weighting (SAW) method to assist students in selecting the motorcycle that best fits their needs. The SAW method was chosen due to its effectiveness in handling multi-criteria decision-making problems by assigning weights to each criterion and calculating the preference value for each available alternative. The system was developed using a quantitative approach, with data collected through surveys and documentation of motorcycle specifications. The test results indicated that the system was capable of providing accurate and relevant recommendations based on user needs. Therefore, this system has the potential to serve as an effective tool in supporting students' motorcycle selection decisions.

Hendra Maulana, Sistem Informasi

Researchers conducted a selection process for motorcycles that align with the needs and financial conditions of students, as this process is often quite complex. This complexity arises from the wide range of options and the numerous criteria that must be considered, such as price, fuel efficiency, engine capacity, comfort level, and design aesthetics. The objective of this study is to design a Decision Support System (DSS) by implementing the Simple Additive Weighting (SAW) method to assist students in selecting the motorcycle that best fits their needs. The SAW method was chosen due to its effectiveness in handling multi-criteria decision-making problems by assigning weights to each criterion and calculating the preference value for each available alternative. The system was developed using a quantitative approach, with data collected through surveys and documentation of motorcycle specifications. The test results indicated that the system was capable of providing accurate and relevant recommendations based on user needs. Therefore, this system has the potential to serve as an effective tool in supporting students' motorcycle selection decisions.

Nor Anisa, Sistem Informasi

Researchers conducted a selection process for motorcycles that align with the needs and financial conditions of students, as this process is often quite complex. This complexity arises from the wide range of options and the numerous criteria that must be considered, such as price, fuel efficiency, engine capacity, comfort level, and design aesthetics. The objective of this study is to design a Decision Support System (DSS) by implementing the Simple Additive Weighting (SAW) method to assist students in selecting the motorcycle that best fits their needs. The SAW method was chosen due to its effectiveness in handling multi-criteria decision-making problems by assigning weights to each criterion and calculating the preference value for each available alternative. The system was developed using a quantitative approach, with data collected through surveys and documentation of motorcycle specifications. The test results indicated that the system was capable of providing accurate and relevant recommendations based on user needs. Therefore, this system has the potential to serve as an effective tool in supporting students' motorcycle selection decisions.

References

Asnani dan Gusti Arviana Rahman, “Sistem Pendukung Keputusan Pemilihan Guru Terbaik Menggunakan Metode Simple Additive Weighting,” AnoaTIK: Jurnal Teknologi Informasi dan Komputer, vol. 1, no. 1, 2023, doi: 10.33772/anoatik.v1i1.2.

D. Kris Sintiana Putri dkk., “Sistem Pendukung Keputusan Pemulihan Ekonomi Pasca-Covid-19 Menggunakan Metode Simple Additive Weighting,” Jurnal Rekayasa Teknologi Nusa Putra, vol. 8, no. 2, 2022, doi: 10.52005/teknik.v8i2.146.

D. Achmad, S. Mu’min, dan A. Saputro, “Sistem Pendukung Keputusan Penerimaan Beasiswa Menggunakan Metode Simple Additive Weighting (SAW),” Nusantara Computer and Design Review, vol. 1, no. 1, 2023, doi: 10.55732/ncdr.v1i1.1077.

Syafiatun Ihsani Luthfiyah dan R. Candra Noor Santi, “Sistem Pendukung Keputusan (SPK) untuk Penentuan Algoritma/Metode Penelitian Menggunakan Metode Simple Additive Weighting (SAW),” Jurnal Teknik Informatika dan Elektronika, vol. 5, no. 2, 2022, doi: 10.36595/jire.v5i2.678.

Ismail dan M. Ilham, “Sistem Pendukung Keputusan Penerimaan Siswa Baru di Sman 7 Watansoppeng Menggunakan Metode Simple Additive Weighting,” Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI), vol. 5, no. 1, 2022, doi: 10.57093/jisti.v5i1.106.

M. Syahril, “Sistem pendukung keputusan pemilihan laptop untuk kebutuhan kuliah menggunakan metode pembobotan aditif sederhana,” Jurnal ICTEE, vol. 3, no. 1, 2022, doi: 10.33365/jictee.v3i1.1063.

R. Sari dan M. -, “Sistem Pendukung Keputusan Pemilihan Marketplace Menggunakan Metode Pembobotan Aditif Sederhana (SAW),” EVOLUTION: Jurnal Sains dan Manajemen, vol. 11, no. 1, 2023, doi: 10.31294/evolusi.v11i1.15410.

Y. E. Chandra, “Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menggunakan Metode Simple Additive Weighting,” JRKT (Jurnal Rekayasa Kokompanteraan), vol. 3, no. 04, 2023, doi: 10.30998/jrkt.v3i04.9230.

S. Rahayu dan A. Sindar, “Sistem Pendukung Keputusan Penilaian Kinerja Guru Menggunakan Metode Simple Additive Weighting,” Jurnal Ilmu Komputer dan Informatika, vol. 2, no. 2, 2022, doi: 10.54082/jiki.28.

T. Juita Sapitri, A. Kharisma Hidayah, Y. Reswan, dan U. Juhardi, “Sistem Pendukung Keputusan Pembelian Sepeda Motor Bekas Menggunakan Algoritma Simple Additive Weighting (Saw),” JURNAL KOMITEK, vol. 3, no. 1, hlm. 197–204, doi: 10.53697/jkomitek.v3i1.

M. Syahril dan I. Suharjo, “Sistem Pendukung Keputusan Pemilihan Laptop untuk Kebutuhan Kuliah Menggunakan Metode Simple Additive Weighting (SAW).”

A. Aziz Antoni, Z. Hakim, dan A. Sugianto, “Implementasi Metode Certainty Factor pada Sistem Pakar Berbasis Web untuk Mendiagnosis Kerusakan Sepeda Motor Scoopy di PT. Bakti Banten Motor.”

M. Munir, M. Muhallim, dan M. Mukramin, “Sistem Pendukung Keputusan Rekomendasi Pemilihan Mobil Bekas Menggunakan Metode Simple Additive Weighting (SAW),” Jurnal Informatika dan Teknik Elektro Terapan, vol. 13, no. 1, Januari 2025, doi: 10.23960/jitet.v13i1.5787.

R. F. Yoga, Y. Litanianda, dan G. Asrofi Buntoro, “Pengembangan Sistem Pendukung Keputusan Berbasis SAW untuk Rekomendasi Pemilihan Sepeda Motor Bekas,” bit-Tech, vol. 7, no. 3, hlm. 910–917, April 2025, doi: 10.32877/bt.v7i3.2236.