Trinugi Wira Harjanti


The variety of Point of Sale (POS) applications available on the market with different features, prices, and advantages means that business owners often face challenges in choosing the POS application that best suits their needs and budget. To choose a POS application, a business owner must know, one by one, the characteristics of the application to be chosen. This makes business owners experience difficulties, and it takes a long time to determine which application to choose. Although POS applications promise great benefits, selecting the right application can be a complicated and crucial task. So, this research was carried out with the aim of building a Decision Support System (DSS) for selecting Point of Sale (POS) applications using a combination of ARAS (Additive Ratio Assessment) and ROC (Rank Order Centroid) methods. The ROC approach in this research functions to determine weight values based on priority levels. Meanwhile, the ARAS method compares and ranks alternatives based on attribute utility performance to determine the best alternative. The SPK software was developed on a website basis, with features including managing criteria data, alternatives, alternative values, ARAS method calculations, and viewing alternative ranking results. From the case studies carried out, the highest to lowest utility values were obtained, namely: Majoo (A2) got a value of 0.8626, Moka POS (A2) got a value of 0.8412, Loyverse POS (A1) got a value of 0.8078, Smart Kasir (A5) got a value of 0.7546, and Olsera POS (A3) obtained a value of 0.7136. The output produced by the system obtains the same value as the manual calculation, meaning that the implementation of the ARAS method in the system is declared valid. In terms of testing, usability testing produces an average score of 87.5%. This shows that this system is suitable for use because it has functionality that is considered to be in accordance with user requirements.

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A. Wirawan and J. Santosa, “Design of Point of Sales (POS) Information Systems Based on Web and Quick Response (QR) Code,” in Proceedings of the 1st International Conference on Applied Economics and Social Science (ICAESS 2019), Dec. 2019, pp. 288–293. doi: 10.2991/icaess-19.2019.14.

M. Andarwati, F. Amrullah, E. Thamrin, and A. R. Muslikh, “An Analysis of Point of Sales (POS) Information Systems in SMEswith The Black Box Testing and PIECES Method,” IOSR J. Bus. Manag., vol. 22, no. 9, pp. 20–25, 2020, doi: 10.9790/487X-2209052025.

S. Bandyopadhyay, Decision Support System: Tools and Techniques. Boca Raton: CRC Press, 2023.

N. Nugroho, “Decision Support System for Selection of Virtual Reality Head-Mounted Display Using the WASPAS Method,” J. Inf. Syst. Res., vol. 4, no. 3, pp. 811–819, 2023, doi: 10.47065/josh.v4i3.3272.

S. N. Khasanah and S. J. Kuryanti, “Sistem Pendukung Keputusan Pemilihan Program Enterprise Resource Planning (ERP) Menggunakan Metode AHP,” IJNS - Indones. J. Netw. Secur., vol. 10, no. 4, pp. 234–240, 2021, doi: 10.55181/ijns.v10i4.1753.

N. Narti and F. Fatmawati, “Implementasi Metode SAW dalam Memilih Software Manajemen Bisnis dan Keuangan,” Evolusi J. Sains dan Manaj., vol. 9, no. 2, pp. 1–9, 2021, [Online]. Available:

M. Bagir, U. Riyanto, R. Nuraini, and D. Kustiawan, “Sistem Pendukung Keputusan Pemilihan Platform Investasi P2P Lending Menggunakan Metode Complex Proportional Assessment (COPRAS),” Build. Informatics, Technol. Sci., vol. 4, no. 4, pp. 1975–1985, 2023, doi: 10.47065/bits.v4i4.3246.

V. Sihombing et al., “Additive Ratio Assessment (ARAS) Method for Selecting English Course Branch Locations,” in Virtual Conference on Engineering, Science and Technology (ViCEST), 2021, pp. 1–5. doi: 10.1088/1742-6596/1933/1/012070.

I. Nanda, R. Jafar Rumandan, and A. Aristo Jansen Sinlae, “Implementation of Additive Ratio Assessment (ARAS) in Decision Support Systems for Wi-Fi Repeater Selection,” Appl. Technol. Comput. Sci. J., vol. 5, no. 2, pp. 50–63, 2022, doi: 10.33086/atcsj.v5i2.3738.

I. M. Pandiangan, M. Mesran, R. I. Borman, A. P. Windarto, and S. Setiawansyah, “Implementation of Operational Competitiveness Rating Analysis (OCRA) and Rank Order Centroid (ROC) to Determination of Minimarket Location,” Bull. Informatics Data Sci., vol. 2, no. 1, pp. 1–8, 2023.

H. A. Aziz et al., “Application of the Simple Additive Weighting (SAW) & Rank Order Centroid (ROC) Methods in The Selection of Outstanding Students at SMK Al-Huda Sadananya,” JISICOM (Journal Inf. Syst. Informatics Comput., vol. 7, no. 1, pp. 1–14, 2023, doi: 10.52362/jisicom.v7i1.1073.

Tim Editorial mybest, “10 Rekomendasi Aplikasi Kasir Terbaik untuk Android dan iOS (Terbaru Tahun 2023),” mybest, 2023.

R. I. Borman, F. Rossi, Y. Jusman, A. A. A. Rahni, S. D. Putra, and A. Herdiansah, “Identification of Herbal Leaf Types Based on Their Image Using First Order Feature Extraction and Multiclass SVM Algorithm,” in International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021, pp. 12–17.

H. Mayatopani, R. I. Borman, W. T. Atmojo, and A. Arisantoso, “Classification of Vehicle Types Using Backpropagation Neural Networks with Metric and Ecentricity Parameters,” J. Ris. Inform., vol. 4, no. 1, pp. 65–70, 2021, doi: 10.34288/jri.v4i1.293.

R. D. Gunawan, R. Napianto, R. I. Borman, and I. Hanifah, “Implementation of Dijkstra’s Algorithm in Determining the Shortest Path (Case Study: Specialist Doctor Search in Bandar Lampung),” Int. J. Inf. Syst. Comput. Sci., vol. 3, no. 3, pp. 98–106, 2019.

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.

S. P. Tamba, A. Purba, Y. E. Kusuma, M. A. Santi, V. Vidyastuti, and S. Dharma, “Implementation of the Rank Order Centroid (ROC) Method to Determine the Favorite Betta Fish,” J. Infokum, vol. 9, no. 2, pp. 381–386, 2021.

D. Meidelfi, R. Idmayanti, F. Maulidani, M. Ilham, and F. A. Muhlis, “Additive Ratio Assessment (ARAS) Method in The Selection of Popular Mobile Games,” Int. J. Adv. Sci. Comput. Eng., vol. 4, no. 1, pp. 56–66, 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.

I. Ahmad, E. Suwarni, R. I. Borman, A. Asmawati, F. Rossi, and Y. Jusman, “Implementation of RESTful API Web Services Architecture in Takeaway Application Development,” in International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2022, pp. 132–137. doi: 10.1109/ICE3IS54102.2021.9649679.

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.

H. Firdaus and A. Zakiah, “Implementation of Usability Testing Methods to Measure the Usability Aspect of Management Information System Mobile Application (Case Study Sukamiskin Correctional Institution),” I.J. Mod. Educ. Comput. Sci., vol. 5, pp. 58–67, 2021, doi: 10.5815/ijmecs.2021.05.06.

M. Walid, B. Satria, and M. Makruf, “Seleksi Karyawan Baru Menggunakan Metode Composite Perfomence Index (CPI) dan Rank Order Centroid (ROC),” J. Ilm. Ilk., vol. 5, no. 1, pp. 11–18, 2022.

A. Aswar, A. Anto, and H. Hamria, “Decisions Support System About The Granting Aid of Machinery Ketinting for The Fisher From Bajo Village Uses The Method Additive Ratio Assessment,” Explor. J. Comput. Sci. Inf. Technol., vol. 3, no. 1, pp. 7–14, 2023.

B. Satria, “Implementation Of Additive Ratio Assessment (ARAS) Method on Decision Support System for Recipient of Inhabitable House,” JITK (Jurnal Ilmu Pengetah. dan Teknol. Komputer), vol. 6, no. 1, pp. 121–128, 2020, doi: 10.33480/jitk.v6i1.1389.

S. Susliansyah, H. Sumarno, H. Priyon, L. Maulida, and F. Indriyani, “Application of A Decision Support System on Additive Ratio Assessment (ARAS) Method in Determining Best-Selling Korean Snacks,” Int. J. Inf. Syst. Technol., vol. 6, no. 4, pp. 469–476, 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.

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.



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