Combination of Composite Performance Index and Rank Order Centroid Methods for Selecting Financial Applications
DOI:
https://doi.org/10.30865/klik.v4i6.1888Keywords:
Black-Box Testing; Composite Performance Index; Decision Support System; Financial Management ApplicationAbstract
In the current digital era, the selection of an effective financial management application poses a significant challenge due to the extensive variety of available options. Manual selection processes are often time-consuming and labor-intensive, requiring users to individually research and compare different applications based on limited and sometimes incomplete information. This research endeavors to develop a Decision Support System (DSS) employing a combined approach of the Composite Performance Index (CPI) and Rank Order Centroid (ROC) methods to streamline the selection of financial management applications. The CPI method integrates various performance dimensions into a single comprehensive index, facilitating a holistic evaluation of each candidate. Simultaneously, the ROC method is used to assign weights based on the ranking of criteria, thereby reducing subjectivity in determining the importance of each criterion. This research has resulted in a DSS capable of managing criteria and alternative data, evaluating alternatives, performing automatic CPI calculations, and displaying the optimal choices in a ranked format. In the conducted case study, Goodbudget achieved the highest composite index score of 114.42, followed by Money Lover with a score of 112.97, TrackWallet scoring 112.75, Budget Planner with 105.22, and Bluecoins with 100. The results from the DSS matched the manual calculations, demonstrating the reliability of the system's output. Black-box testing has demonstrated that all test cases have been executed successfully and have met the predefined functions.
Downloads
References
S. Soekarno and S. M. Damayanti, Manajemen Perencanaan Keuangan. Jakarta: Prenada Media, 2021.
K. Stewart, Personal Finance Management: Mastering The Art of Budgeting. Amazon Digital Services LLC - Kdp, 2023.
D. Lestari, Manajemen Keuangan Pribadi: Cerdas Mengelola Keuangan. Sleman: Deepublish, 2020.
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.
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.
N. Agustina and E. Sutinah, “Penerapan Metode MOORA Pada Sistem Pendukung Keputusan Pemilihan Aplikasi Dompet Digital,” InfoTekJar J. Nas. Inform. dan Teknol. Jar., vol. 6, no. 2, pp. 299–304, 2022.
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.
R. Setiawan, “Sistem Penunjang Keputusan Pemilihan E-Wallet Menggunakan Metode Profile Matching,” JEECOM, vol. 5, no. 1, pp. 31–35, 2023.
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.
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.
F. Purwaningtias, M. Ulfa, and F. Franata, “Decision Support System for Selection of the Best Member at Junjung Biru Waste Bank Using the Composite Performance Index (CPI),” Khazanah Inform., vol. 6, no. 2, pp. 184–189, 2020.
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.
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), 2021, pp. 46–50.
R. I. Borman, Y. Fernando, and Y. E. P. Yudoutomo, “Identification of Vehicle Types Using Learning Vector Quantization Algorithm with Morphological Features,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 5, no. 2, pp. 339–345, 2022.
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.
Y. Noviyanti, “10 Aplikasi Pengatur Keuangan Terbaik - Ditinjau oleh Praktisi Keuangan (Terbaru Tahun 2024),” mybest, 2024. https://id.my-best.com/138780
D. Maharani, “Application of Decision Support System using Composite Performance Index Algorithm,” in Virtual Conference on Engineering, Science and Technology (ViCEST), 2020, pp. 1–8. doi: 10.1088/1742-6596/1933/1/012018.
R. D. Gunawan, R. Napianto, R. I. Borman, and I. Hanifah, “Penerapan Pengembangan Sistem Extreme Programming Pada Aplikasi Pencarian Dokter Spesialis di Bandar lampung Berbasis Android,” J. Format, vol. 8, no. 2, pp. 148–157, 2019.
Y. Fernando, R. Napianto, and R. I. Borman, “Implementasi Algoritma Dempster-Shafer Theory Pada Sistem Pakar Diagnosa Penyakit Psikologis Gangguan Kontrol Impuls,” Insearch Inf. Syst. Res. J., vol. 2, no. 2, pp. 46–54, 2022.
M. Skoglund, F. Warg, H. Hansson, and S. Punnekkat, “Black-Box Testing for Security-Informed Safety of Automated Driving Systems,” in IEEE Conference on Vehicular Technology (VTC), 2021. doi: 10.1109/VTC2021-Spring51267.2021.9448691.
M. W. Arshad, S. Setiawansyah, M. Mesran, and D. Desyanti, “Combination of Multi-Attributive Ideal-Real Comparative Analysis and Rank Order Centroid in Supplier Performance Evaluation,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 4, pp. 2330–2341, 2024, doi: 10.30865/klik.v4i4.1677.
E. Roszkowska, “The Extension of Rank Ordering Criteria Weighting Methods in Fuzzy Environment,” Oper. Res. Decis., vol. 30, no. 2, pp. 115–143, 2020, doi: 10.37190/ORD200206.
B. Satria, A. Sidauruk, M. T. Nurcholis, R. Wardhana, and B. Purba, “The Decision Making Method for Awarding Scholarships to Students Using Composite Performance Index Algorithm,” JITK (Jurnal Ilmu Pengetah. dan Teknol. Komputer), vol. 8, no. 2, pp. 8–13, 2023, doi: 10.33480/jitk.v8i2.3335.INTRODUCTION.
K. Kosim and J. Januarizcha, “Composite Performance Index (CPI) Method For Determining Recipients of Community-Based Development (CBD) Assistance Programs At The Dawuan Sub-District Office,” J. Math. Instr. Soc. Res. Opin., vol. 3, no. 1, pp. 87–98, 2024.
A. A. D. Sarhan, I. Maher, and M. Hamdi, “Development of a New Cost Performance Index (CPI) for Selecting the Most Suitable Wire Electrode in Wire-EDM Machining,” Arab. J. Sci. Eng., vol. 46, no. 12, pp. 12465–12478, 2021, doi: 10.1007/s13369-021-05989-7.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Combination of Composite Performance Index and Rank Order Centroid Methods for Selecting Financial Applications
ARTICLE HISTORY
Issue
Section
Copyright (c) 2024 Teotino Gomes Soares, Rusliyawati Rusliyawati, Joko Trianto, Apri Candra Widyawati
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
