Implementasi Metode Weighted Aggregated Sum Product Assesment (WASPAS) dalam Pemilihan Oli Mesin Sepeda Motor 150 CC
(1) STMIK Triguna Dharma, Medan
(2) STMIK Triguna Dharma, Medan
(3) STMIK Triguna Dharma, Medan
(*) Corresponding Author
Abstract
There are many types and types of engine lubricating oil, so you must be selective in choosing the right lubricant (oil) to preserve the life time of the engine. With the oil, the friction between the components in the engine becomes smoother and makes it easier for the engine to reach the ideal temperature. Oil is often used to reduce friction (friction), if two surfaces that are attached to each other move, friction will arise. If the engine heat is not absorbed, the wear and tear of engine components will accelerate. The purpose of this study is to implement a decision support system using the Weighted Aggregated Sum Product Assessment (WASPAS) method in selecting the best motorcycle engine oil so that it can assist motorcycle riders in choosing the best engine oil. Motorcycle owners do not experience difficulties and do not need a long time in the selection of engine oil for their motorcycles. The Waspas method can be applied in solving the problem of determining the best lubricant (oil) for 150cc sport motorbikes. The best lubricant (oil) based on the calculation results of 5 alternatives with a value above 0.60, namely deltalube daily with the highest score of 0.6906, repsol mx25 with a value of 0.6902, ahm oil mpx 2 with a value of 0.6644, federal ultratec with a value of 0.6238 and shell advance ax5 with a value of 0.6097. With the application of the desktop-based Waspas method in decision making, it can make it easier for motorcycle owners to select the best lubricant (oil) for 150cc sport motorbikes.
Keywords
Full Text:
PDFReferences
S. Aisyah and H. C. Putra, Sistem Pendukung Keputusan Pemilihan Oli Sepeda Motor Matic Terbaik Menerapkan Metode Preference Selection Index, Semin. Nas. Teknol., vol. ISBN: 978-, pp. 238248, 2019, [Online]. Available: https://www.prosiding.seminar-id.com/index.php/sainteks/article/view/163.
R. A. D. Asbon Hendra Azhar, Analisis Konsumen Memilih Oli Mesin Sepeda Motor Matic Yang Layak Digunakan Dengan Metode Anp, InfoSys J., vol. 6, no. 2, pp. 196204, 2022.
S. Marsela, E. W. Fridayanthie, M. Safitri, and F. Faridi, Sistem Pendukung Keputusan Pemilihan Oli Mesin Yamaha Mio, J. Khatulistiwa Inform., vol. 7, no. 2, pp. 113120, 2019, doi: 10.31294/jki.v7i2.6478.
J. Hutagalung, Application of the AHP-TOPSIS Method to Determine the Feasibility of Fund Loans Penerapan Metode AHP TOPSIS untuk Menentukan Kelayakan Pinjaman Dana, J. Pekommas, vol. 6, no. 1, pp. 111, 2021, doi: 10.30818/jpkm.2021.2060101
V. D. Iswari, F. Y. Arini, and M. A. Muslim, Decision Support System for the Selection of Outstanding Students Using the AHP-TOPSIS Combination Method, Lontar Komput. J. Ilm. Teknol. Inf., vol. 10, no. 1, p. 40, 2019, doi: 10.24843/lkjiti.2019.v10.i01.p05.
W. Pratiwi, R. Firdaus, and J. Al Amien, Sistem Pendukung Keputusan Penentuan Posisi Jabatan Yang Yang Kosong Dengan Metode Weight Aggregated Sum Product Assesment ( Waspas ) ( Studi Kasus : PT . Tamora Agro Lestari ), J. FASILKOM J. Teknol. Inf. dan ILmu Komput., vol. 11, no. 3, pp. 165171, 2021
F. Psarommatis and D. Kiritsis, A hybrid Decision Support System for automating decision making in the event of defects in the era of Zero Defect Manufacturing, J. Ind. Inf. Integr., vol. 26, p. 100263, 2022, doi: 10.1016/j.jii.2021.100263.
J. Hutagalung and M. T. I R, Pemilihan Dosen Penguji Skripsi Menggunakan Metode ARAS, COPRAS dan WASPAS, J. SISFOKOM (Sistem Inf. dan Komputer), vol. 10, no. 3, pp. 354367, 2021, doi: DOI : 10.32736/sisfokom.v10i3.1240.
S. M. Harahap, I. J. T. Situmeang, S. Hummairoh, and Mesran, Implementation of Weighted Aggregated Sum Product Assessment (WASPAS) in Determining the Best Graduates, IJICS (International J. Informatics Comput. Sci., vol. 5, no. 1, pp. 44 51, 2021
A. P. R. Pinem, Siti Asmiatun, and A. N. Putri, Penentuan Lokasi Industri Menggunakan Metode WASPAS Dengan Data Spasial Sebagai Data Kriteria, Resti, vol. 1, no. 1, pp. 1925, 2017.
D. Asdini, M. Khairat, and D. P. Utomo, Sistem Pendukung Keputusan Penilaian Kinerja Manajer di PT . Pos Indonesia dengan Metode WASPAS, JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 1, pp. 4147, 2022, doi: 10.30865/jurikom.v9i1.3767.
A. P. Nanda, S. Sucipto, and S. Hartati, Analisis Menentukan Jasa Pengirim Terbaik Menggunakan Metode Weight Aggregated Sum Product Assesment (WASPAS), Expert J. Manaj. Sist. Inf. dan Teknol., vol. 10, no. 2, p. 42, 2020, doi: 10.36448/jmsit.v10i2.1594.
E. Zunaidi and Setyawan Wibisono, SPK Pemilihan Pestisida Tanaman Bawang Merah Dengan Metode WASPAS, Elkom J. Elektron. dan Komput., vol. 15, no. 1, pp. 2533, 2022, doi: 10.51903/elkom.v15i1.638.
S. M. Ali, A. B. M. M. Bari, A. A. M. Rifat, M. Alharbi, S. Choudhary, and S. Luthra, Modelling supply chain disruption analytics under insufficient data: A decision support system based on Bayesian hierarchical approach, Int. J. Inf. Manag. Data Insights, vol. 2, no. 2, p. 100121, 2022, doi: 10.1016/j.jjimei.2022.100121.
N. Intan Nopita, Muhammad Rafi Muttaqin, Sistem Pendukung Keputusan Penentuan Media Promosi Stt Wastukancana Purwakarta Menggunakan Metode Weighted Aggregated Sum Product Assesment (Waspas), JINTEKS (Jurnal Inform. Teknol. dan Sains), vol. 4, no. 3, pp. 137144, 2022.
J. Arshad et al., Implementation of a LoRaWAN Based Smart Agriculture Decision Support System for Optimum Crop Yield, Sustain., vol. 14, no. 2, pp. 120, 2022, doi: 10.3390/su14020827.
P. Fitriani and T. S. Alasi, Sistem Pendukung Keputusan dengan Metode WASPAS, COPRAS, dan EDAS : Menentukan Judul Skripsi, J. Media Inform. Budidarma, vol. 4, p. 56, 2020, doi: 10.30865/mib.v4i4.2431.
Sahrul Ade Amanatulloh and Setyawan Wibisono, Sistem Pendukung Keputusan Pemberian BLT Desa Sidaharja Dengan Metode WASPAS, Elkom J. Elektron. dan Komput., vol. 15, no. 1, pp. 171179, 2022, doi: 10.51903/elkom.v15i1.795.
F. Meganuari and T. D. Wismarini, Sistem Pendukung Keputusan Pemilihan Sepeda Motor Bekas Dengan WASPAS, Pixel J. Ilm. Komput. Graf., vol. 15, no. 1, pp. 19, 2022, doi: 10.51903/pixel.v15i1.630.
M. J. Tarigan, M. Z. Siambaton, and T. Haramaini, Implementasi Metode Weighted Aggregated Sum Product Assessment (WASPAS) Dalam Menentukan Jurusan Siswa Pada SMKN 8 Medan, J. Minfo Polgan, vol. 10, no. 1, pp. 4253, 2021, [Online]. Available: https://www.jurnal.polgan.ac.id/index.php/jmp/article/view/10964
G. Andra Aditiya, Sistem Pendukung Keputusan Penerimaan Perawat Baru Di PT. Medika Antapani dengan Pembobotan ROC dan Metode WASPAS, G-Tech J. Teknol. Terap., vol. 6, no. 2, pp. 100109, 2022.
DOI: http://dx.doi.org/10.61944/bids.v1i2.39
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Juniar Hutagalung, Ahmad Fitri Boy, M Arief Yahdie

This work is licensed under a Creative Commons Attribution 4.0 International License.
Bulletin of Informatics and Data Science
Asosiasi Peneliti Data Science Indonesia
Email: pdsi.bids@gmail.com
This work is licensed under a Creative Commons Attribution 4.0 International License.
