DECISION SUPPORT SYSTEM USING THE COMPOSITE PERFORMANCE INDEX (CPI) FOR WIRELESS REPEATER SELECTION

Joko Trianto, Mohammad Imam Shalahudin, Umbar Riyanto

Abstract


To connect to the internet, a device must have an internet connection via an internet network, one of which is through a wireless network or what is called Wireless Fidelity (Wi-Fi). On a Wi-Fi network there is a Wi-Fi router that is used to provide a connection to the internet network, but the signal from the WI-FI router is limited. Then the Wi-Fi signal needs to be strengthened with a signal booster known as a Wi-Fi Repeater or Wi-Fi Extender. Wi-Fi Repeaters are important devices for individuals, agencies and companies so that the desired areas get internet connection. So, to make a purchase of this product, foresight is needed so that the device chosen is right and in accordance with the needs. The large selection of Wi-Fi Repeater products on the market results in a person having to find information in advance regarding the specifications of the Wi-Fi Repeater product to be purchased. This has an impact on the length of the process in making decisions. The purpose of this research is to implement the Composite Performance Index (CPI) method on a decision support system for choosing Wi-Fi Repeaters, so that it can make it easier for users to determine alternatives quickly and precisely. The CPI method is used to solve decision problems with a number of alternatives through a combined index to rank alternatives from several criteria. The results of the calculations in the case study produced the highest combined index value, namely the Asus N300 Range Extender (A2) getting a score of 125, then followed by Mercusys WiFi Extender (A1) getting a score of 92.5, Comfast WiFi Extender (A3) getting a score of 100 and Xiaomi Mi AC1200 (A4) get a value of 100. The calculation results of the CPI method obtained by the system obtain the same value as manual calculations, so the developed system is declared valid. In addition, based on tests using black-box testing, it shows that the system built can function as it should.

Full Text:

PDF

References


H. Yuliandoko, Jaringan Komputer Wire dan Wireless Beserta Penerapannya. Deepublish, 2018. [Online]. Available: https://books.google.co.id/books?id=gyFsDwAAQBAJ

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.

Z. M. Bhakti, S. Raharjo, and M. Sholeh, “Analisis Kinerja Wireless Point to Point Multipoint Client Bridge dan Repeater Pada Frekuensi 2.4 Ghz,” J. JARKOM, vol. 3, no. 2, pp. 12–21, 2017.

R. I. Borman and H. Fauzi, “Penerapan Metode Perbandingan Eksponensial (MPE) Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa Siswa Berprestasi Pada SMK XYZ,” CESS J. Comput. Eng. Syst. Sci., vol. 3, no. 1, pp. 17–22, 2018.

I. Cholilah, I. Ishak, and D. Suherdi, “Sistem Pendukung Keputusan Dalam Menentukan Pembukaan Cabang Roti John Menggunakan Metode WASPAS,” J. CyberTech, vol. 3, no. 2, pp. 331–343, 2020.

R. I. Borman, M. Mayangsari, and M. Muslihudin, “Sistem Pendukung Keputusan Menentukan Lokasi Perumahan Di Pringsewu Selatan Menggunakan Fuzzy Multiple Attribute Decision Making,” JTKSI (Jurnal Teknol. Komput. dan Sist. Informasi), vol. 01, no. 01, pp. 5–9, 2018, doi: 10.56327/jtksi.v1i1.874.

R. I. Borman, D. A. Megawaty, and A. Attohiroh, “Implementasi Metode TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Biji Kopi Robusta Yang Bernilai Mutu Ekspor (Studi Kasus: PT. Indo Cafco Fajar Bulan Lampung),” Fountain Informatics J., vol. 5, no. 1, pp. 14–20, 2020, doi: 10.21111/fij.v5i1.3828.

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.

D. T. S. L. Batu, M. Syahrizal, and I. Ikwan, “Sistem Pendukung Keputusan Pemilihan Wireless Router Menggunakan Metode Promethee (Studi Kasus: My Republic Medan),” J. Pelita Inform., vol. 7, no. 1, pp. 11–15, 2018.

A. Rahmadhani, R. Z. Harahap, A. Aziza, S. K. Wardani, and S. Aripin, “Sistem Pendukung Keputusan Pemilihan Provider Wifi (Wireless Fidelity) Jaringan Terbaik di Aek Kanopan dengan Metode Weighted AggregatedSumProductAssessment (WASPAS),” in Seminar Nasional Ilmu Sosial dan Teknologi (SANISTEK), 2021, pp. 54–59.

Y. Surojo, “10 Penguat Sinyal Wi-Fi Terbaik - Ditinjau oleh Software Engineer,” mybest. https://my-best.id/19186

B. Santoso and A. Armanto, “Penerapan Metode Composite Performance Index (CPI) Dalam Proses Penentuan Penerima Bantuan Program Bedah Rumah Bagi Keluarga Miskin Dikota Lubuklinggau,” J. Ilm. Betrik, vol. 11, no. 02, pp. 74–82, 2020.

C. A. Putri, J. Minardi, and N. Azizah, “Sistem Pendukung Keputusan Pemilihan Makanan Pada Penderita Maag Menggunakan Metode Composite Performance Index (CPI),” Biner J. Ilm. Inform. dan Komput., vol. 1, no. 2, pp. 115–121, 2022.

D. E. Dewi, R. Aprilia, and N. H. Prasetya, “Sistem Pendukung Keputusan Penilaian Kenaikan Golongan Pada Karyawan PTPN VI Unit Usaha Solok Selatan Menggunakan Metode Composite Performance Index (CPI),” Math. Appl. J., vol. 3, no. 1, pp. 1–7, 2021.

A. A. T. Susilo, “Penerapan Metode CPI Pada Pemilihan Hotel Dikota Lubuklinggau,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 1, no. 3, pp. 204–210, 2017.

N. S. Tanjung, P. D. Adelina, M. K. Siahaan, E. Purba, and J. Afriany, “Sistem Pendukung Keputusan Pemilihan Guru Teladan Dengan Menggunakan Metode Composite Perfomance Index (CPI),” J. Ris. Komput., vol. 5, no. 1, pp. 13–18, 2018.

B. Bahrin, B. Betrisandi, and M. Diange, “Sistem Pendukung Keputusan Seleksi Beasiswa Prestasi Miskin Dengan Metode Composite Performance Index (CPI),” J. Nas. Komputasi dan Teknol. Inf., vol. 5, no. 1, pp. 1–13, 2022.

B. Satria, A. Sidauruk, R. Wardhana, A. Al Akbar, and M. A. Ihsan, “Penerapan Composite Performance Index (CPI) Sebagai Metode Pada Sistem Pendukung Keputusan Seleksi Penerima Beasiswa,” Indones. J. Comput. Sci., vol. 11, no. 1, pp. 566–576, 2022.

L. Sinambela, L. Nababan, and J. Elnovreny, “Penerapan Metode CPI Dalam Penentuan Cara Terbaik Meningkatkan Kualitas Belajar Mengajar (Studi Kasus UPH Medan),” J. Tek. Inform. Kaputama, vol. 6, no. 2, pp. 718–724, 2022.

A. Herdiansah, R. I. Borman, D. Nurnaningsih, A. A. J. Sinlae, and R. R. Al Hakim, “Klasifikasi Citra Daun Herbal Dengan Menggunakan Backpropagation Neural Networks Berdasarkan Ekstraksi Ciri Bentuk,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 2, pp. 388–395, 2022, doi: 10.30865/jurikom.v9i1.3846.

R. Napianto, Y. Rahmanto, R. I. Borman, O. Lestari, and N. Nugroho, “Dhempster-Shafer Implementation in Overcoming Uncertainty in the Inference Engine for Diagnosing Oral Cavity Cancer,” CSRID (Computer Sci. Res. Its Dev. Journal), vol. 13, no. 1, pp. 45–53, 2021, doi: 10.22303/csrid.13.1.2021.46-54.

I. Ahmad, R. I. Borman, G. G. Caksana, and J. Fakhrurozi, “Implementasi String Matching Dengan Algoritma Boyer- Moore Untuk Menentukan Tingkat Kemiripan Pada Pengajuan Judul Skripsi / Ta Mahasiswa (Studi Kasus : Universitas XYZ),” SINTECH (Science Inf. Technol. J., vol. 4, no. 1, pp. 53–58, 2021.

Y. Fernando, R. Napianto, and R. I. Borman, “Implementasi Algoritma Dempster-Shafer Theory Pada Sistem Pakar Diagnosa Penyakit Psikologis Gangguan Kontrol Impuls,” Insearch (Information Syst. Res. J., vol. 2, no. 2, pp. 46–54, 2022.

I. Ahmad, R. I. Borman, J. Fakhrurozi, and G. G. Caksana, “Software Development Dengan Extreme Programming (XP) Pada Aplikasi Deteksi Kemiripan Judul Skripsi Berbasis Android,” J. Invotek Polbeng - Seri Inform., vol. 5, no. 2, pp. 297–307, 2020.

R. I. Borman, I. Ahmad, and Y. Rahmanto, “Klasifikasi Citra Tanaman Perdu Liar Berkhasiat Obat Menggunakan Jaringan Syaraf Tiruan Radial Basis Function,” Bull. Informatics Data Sci., vol. 1, no. 1, pp. 6–13, 2022.

R. I. Borman, A. T. Priandika, and A. R. Edison, “Implementasi Metode Pengembangan Sistem Extreme Programming (XP) pada Aplikasi Investasi Peternakan,” JUSTIN (Jurnal Sist. dan Teknol. Informasi), vol. 8, no. 3, pp. 272–277, 2020, doi: 10.26418/justin.v8i3.40273.




DOI: https://doi.org/10.33365/jti.v17i1.2352

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Joko Trianto, Mohammad Imam Shalahudin, Umbar Riyanto

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

JURNAL TEKNOINFO
Published by Universitas Teknokrat Indonesia
Organized by Prodi S1 Informatika FTIK Universitas Teknokrat Indonesia

W: http://ejurnal.teknokrat.ac.id/index.php/teknoinfo/index
E : teknoinfo@teknokrat.ac.id.
Jl. Zainal Abidin Pagaralam, No.9-11, Labuhan Ratu, Bandarlampung

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Jumlah Pengunjung : View Teknoinfo StatsCounter

Flag Counter