Pengembangan Sistem Pendukung Keputusan Menggunakan Pendekatan PIPRECIA-S dan ARAS untuk Pemilihan Wireless Repeater


  • Andrian Sah * Mail Universitas Yapis Papua, Jayapura, Indonesia
  • Adam M. Tanniewa Universitas Sulawesi Barat, Majene, Indonesia
  • (*) Corresponding Author
Keywords: ARAS; PIPRECIA-S; Decision Support System; Wireless Repeater; Black-Box Testing

Abstract

A wireless repeater is one of the solutions to extend signal range and reduce dead spot areas. However, selecting the right device often poses challenges for users due to the variety of products available in the market, each with differing specifications, performance, and prices. This study aims to develop a decision support system (DSS) based on the PIPRECIA-S and Additive Ratio Assessment (ARAS) methods. The PIPRECIA-S method is used to determine criterion weights in a structured manner, while the ARAS method evaluates alternatives based on their relative utility. The study resulted in a web-based application designed to enable users to access and manage data anytime and anywhere. A case study demonstrated that TP-Link TL-WA850RE (A4) ranked first with a score of 0.9395, followed by Prolink N300 (A3) with a score of 0.8571, Mercusys MW300RE (A1) with a score of 0.7770, and Tenda A9 (A2) in the last position with a score of 0.7141. The system's calculation results were consistent with manual calculations, proving the system's reliability and validity in providing recommendations. System testing using the black-box testing method showed that all features functioned as specified, including data management, input evaluation, and alternative ranking calculations. This study contributes a systematic solution to assist users in selecting the most suitable wireless repeater for their needs, while also enhancing efficiency in the multi-criteria decision-making process.

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References

M. Diponegoro, R. Rusman, W. Yuniarto, and S. Bibi, “Optimasi Kinerja Jaringan Wireless Menggunakan Repeater Berbasis Open DD-WRT Dengan Metode Drive Test Studi Kasus Pada Jaringan Internet Jurusan Teknik Elektro Politeknik Negeri Pontianak,” Elit J. - Electrotech. Inf. Technol., vol. 3, no. 1, pp. 11–19, 2022.

N. Wulandari, N. I. Hadiana, M. Mesran, R. I. Borman, and A. P. Windarto, “Sistem Pendukung Keputusan Pemilihan Mahasiswa Penerima Bantuan Uang Kuliah Tunggal Menggunakan Metode Simple Additive Weighting (SAW),” J. Decis. Support Syst. Res., vol. 1, no. 1, pp. 1–8, 2023.

R. Napianto and R. Rusliyawati, “Sistem Pendukung Keputusan Pemilihan Perangkat Penguat Sinyal Wireless Menggunakan Metode Weighted Product,” Insearch Inf. Syst. Res. J., vol. 3, no. 2, pp. 54–62, 2023.

R. Nuraini, Y. Daniarti, I. P. Irwansyah, A. A. J. Sinlae, and S. Setiawansyah, “Fuzzy Multiple Attribute Decision Making Menggunakan TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Wireless Router,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 2, pp. 411–419, 2022, doi: 10.30865/jurikom.v9i2.4065.

H. Susanto and A. S. Purnomo, “Sistem Rekomendasi Pemilihan Router Mikrotik Untuk Skala Soho Dengan Metode WASPAS,” J. Innov. Futur. Technol., vol. 6, no. 2, pp. 281–291, 2024.

J. Trianto, M. I. Shalahudin, and U. Riyanto, “Decision Support System Using the Composite Performance Index (CPI) for Wireless Repeater Selection,” J. Teknoinfo, vol. 17, no. 1, p. 90, 2023, doi: 10.33365/jti.v17i1.2352.

M. Mladenović, T. Đukić, and G. Popović, “Analysis of Financial Reporting Platforms Based on The PIPRECIA-S Method,” J. Process Manag. New Technol., vol. 11, no. 3–4, pp. 95–104, 2023, doi: 10.5937/jpmnt11-48186.

S. Setiawansyah and V. H. Saputra, “Kombinasi Pembobotan PIPRECIA-S dan Metode SAW dalam Pemilihan Ketua Organisasi Sekolah,” J. Ilm. Inform. dan Ilmu Komput., vol. 2, no. 1, pp. 32–40, 2023.

F. Septian, R. D. Septiana, H. Setiyani, and A. Arisantoso, “Sistem Pendukung Keputusan Pemilihan Software House Menggunakan Pendekatan Additive Ratio Assessment,” J. FASILKOM, vol. 14, no. 2, pp. 491–499, 2024.

N. Heriyani et al., “Sistem Pendukung Keputusan Menggunakan Pendekatan Additive Ratio Assessment pada Penentuan Lokasi Usaha untuk UMKM,” Insearch (Information Syst. Res. J., vol. 4, no. 2, pp. 82–93, 2024.

R. I. Borman and M. Wati, “Penerapan Data Maining Dalam Klasifikasi Data Anggota Kopdit Sejahtera Bandarlampung Dengan Algoritma Naïve Bayes,” J. Ilm. Fak. Ilmu Komput., vol. 9, no. 1, pp. 25–34, 2020.

R. I. Borman, R. Napianto, N. Nugroho, D. Pasha, Y. Rahmanto, and Y. E. P. Yudoutomo, “Implementation of PCA and KNN Algorithms in the Classification of Indonesian Medicinal Plants,” in International Conference on Computer Science, Information Technology and Electrical Engineering (ICOMITEE), IEEE, 2021, pp. 46–50.

Y. Surojo, “10 Rekomendasi Penguat Sinyal Wi-Fi Terbaik [Ditinjau oleh Software Engineer](Terbaru Tahun 2024),” MyBest. [Online]. Available: https://id.my-best.com/19186

D. Stanujkic, D. Karabasevic, G. Popovic, and C. Sava, “Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) Method,” Rom. J. Econ. Forecast., vol. XXIV, no. 4, pp. 141–154, 2021.

D. Wahyuningsih, H. Hamidah, A. Anisah, D. Irawan, O. Rizan, and C. Kirana, “Seleksi Peserta Didik Baru Dengan Metode Additive Ratio Assessment (ARAS),” J. Sisfokom (Sistem Inf. dan Komputer), vol. 11, no. 1, pp. 120–126, 2022.

B. Priyopradono, “Multiple Criteria Decision Analysis Menggunakan Additive Ratio Assessment Pada Pemilihan Uninterruptible Power Supply (UPS),” Insearch Inf. Syst. Res. J., vol. 2, no. 2, pp. 55–63, 2022, doi: 10.15548/isrj.v2i02.4360.

A. Sah, J. Jusmawati, S. Nurhayati, M. Tonggiroh, and S. Bonay, “Sistem Informasi Manajemen Pada Puskesmas Kota Jayapura Berbasis Web,” JTIM J. Teknol. Inf. dan Multimed., vol. 4, no. 3, pp. 212–220, 2022.

I. Ahmad, Y. Rahmanto, D. Pratama, and R. I. Borman, “Development of Augmented Reality Application for Introducing Tangible Cultural Heritages at The Lampung Museum Using The Multimedia Development Life Cycle,” Ilk. J. Ilm., vol. 13, no. 2, pp. 187–194, 2021.

Y. M. Cani, H. Hannie, and A. A. Ridha, “Pengujian Black Box Testing Pada Sistem Pendukung Keputusan Penerima Beasiswa di SMK Tarbiyatul Ulum Karawang,” J. Ilm. Wahana Pendidik., vol. 9, no. 9, pp. 754–760, 2023.

S. Setiawansyah, S. Sintaro, V. H. Saputra, and A. A. Aldino, “Combination of Grey Relational Analysis (GRA) and Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) in Determining the Best Staff,” Bull. Informatics Data Sci., vol. 2, no. 2, p. 57, 2024, doi: 10.61944/bids.v2i2.67.


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Article History
Published: 2024-10-30
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How to Cite
Sah, A., & Tanniewa, A. (2024). Pengembangan Sistem Pendukung Keputusan Menggunakan Pendekatan PIPRECIA-S dan ARAS untuk Pemilihan Wireless Repeater. Bulletin of Data Science, 4(1), 1-12. https://doi.org/10.47065/bulletinds.v4i1.6368
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