Designing a Key Performance Indicator Application for Sales Performance Evaluation Using the Web-Based ROC Method (Case Study of PT. Valve Automation Indonesia)
DOI:
https://doi.org/10.59934/jaiea.v5i3.2377Keywords:
Key Performance Indicator, Rank Order Centroid (ROC), Sales Performance Evaluation, Web ApplicationAbstract
Sales performance assessment is an important aspect in human resource management because it directly influences the achievement of company targets. At PT. Valve Automation Indonesia, KPI weighting is determined by managers based on personal assessments, this causes weight imbalances when adding or reducing assessment parameters. This study aims to design and implement a web-based Key Performance Indicator (KPI) application with the Rank Order Centroid (ROC) method to determine the weight of criteria based on the order of importance so as to produce a more objective and proportional weighting. The assessment criteria used include Absence, Sales Revenue, New Customers, Payment Collection, Visit Customers, and Follow Up Progress. This application was developed through the stages of needs analysis, design, implementation, and testing. This application shows that it is able to calculate KPI values automatically, generate sales performance rankings, and assist managers in making decisions more effectively and efficiently.
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References
C. A. Cholik, “Perkembangan Teknologi Informasi Komunikasi / ICT dalam Berbagai Bidang,” J. Fak. Tek. UNISA Kuningan, vol. 2, no. 2, pp. 39–46, 2021.
N. N. Halisa, “Peran Manajemen Sumber Daya Manusia ‘Sistem Rekrutmen, Seleksi, Kompetensi dan Pelatihan’ Terhadap Keunggulan Kompetitif: Literature Review,” ADI Bisnis Digit. Interdisiplin J., vol. 1, no. 2 Desember, pp. 14–22, 2020, doi: 10.34306/abdi.v1i2.168.
N. V. Rohmadany and N. Astaginy, “Pengaruh Soft Skill Dan Insentif Terhadap Kinerja Sales HandphonePt.Ziola Kolaka,” GLORY ( Glob. Leadersh. Organ. Res. Manag., vol. 1, no. 4, pp. 108–121, 2023.
A. S. Hurrijal and R. Gupitha, “Sistem Informasi Monitoring Sales Berbasis Web Pada Pt. Arifindo Mandiri Tdc Pamanukan,” J. Teknol. Inf. dan Komun., vol. 10, no. 2, pp. 1–5, 2021, doi: 10.56244/fiki.v10i2.392.
P. S. Volume, “ANALISIS KINERJA RS SILOAM HOSPITALS BALI DIUKUR,” vol. 5, pp. 25–34, 2022.
M. Fadly, D. R. Muryana, and A. T. Priandika, “Sistem Monitoring Penjualan Bahan Bangunan Menggunakan Pendekatan Key Perfomance Indicator,” J. Soc. Sci. Technol. Community Serv., vol. 1, no. 1, p. 15, 2020, doi: 10.33365/jta.v1i1.669.
R. dkk. Haholongan, “Pengaruh Key Performance Indicators Terhadap Kinerja Karyawan Perusahaan Peralatan Rumah Tangga,” J. Inov. Penelit., vol. 2, no. 8, p. Vol. 2. No. 8, hal. 2763–2768, 2022.
R. Andika, “Kombinasi Grey Relational Analysis (GRA) dan ROC Dalam Penentuan Promosi Jabatan Supervisor,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 2, no. 1, pp. 37–44, 2024.
A. Triayudi, J. D. Rajagukguk, and M. Mesran, “Implementasi Metode MAUT Dalam Menentukan Prioritas Produk Unggulan Daerah Dengan Menerapkan Pembobotan ROC,” J. Comput. Syst. Informatics, vol. 3, no. 4, pp. 452–460, 2022, doi: 10.47065/josyc.v3i4.2216.
P. A. Soleha, R. T. Aldisa, and M. A. Abdullah, “Pemilihan Waitress Resto Akul Terbaik Menerapkan Metode WASPAS dengan Pembobotan ROC,” J. Inf. Syst. Res., vol. 4, no. 3, pp. 903–913, 2023, doi: 10.47065/josh.v4i3.3375.
D. N. Sholihaningtias, “Rekomendasi Kelayakan Penerima Kredit Menggunakan Metode TOPSIS dengan Pembobotan ROC,” J. SAINTEKOM, vol. 13, no. 1, pp. 88–99, 2023, doi: 10.33020/saintekom.v13i1.376.
J. Faran and R. T. Aldisa, “Sistem Pendukung Keputusan Rekomendasi Aplikasi Pembuat Kuis Edukasi Untuk Pembelajaran Menerapkan Metode OCRA dan Pembobotan ROC,” J. Comput. Syst. Informatics, vol. 4, no. 4, pp. 830–840, 2023, doi: 10.47065/josyc.v4i4.4045.
V. P. Sabandar, “Kombinasi Metode Rank Order Centroid dan Complex Proportional Assessment Dalam Pemilihan Jasa Kontruksi Perbaikan Gedung,” vol. 2, no. 2, pp. 59–69, 2024.
R. F. Wahyu, H. Rohayani, V. Yoga, P. Ardhana, and A. Supriyatna, “Kombinasi Metode Rank Order Centroid ( ROC ) dan Operational Competitiveness Rating Analysis ( OCRA ) pada Sistem Pendukung Keputusan Penerimaan Kasir,” vol. 2, no. 1, pp. 30–36, 2023.
G. Angelia, P. Sokibi, and R. Fahrudin, “Perancangan Sistem Informasi Penilaian Kinerja Promotor Terhadap Product Knowledge Menggunakan Metode Key Performance Indicator (Studi Kasus : Pt. World Innovative Telecommunication),” J. Digit, vol. 11, no. 2, p. 144, 2021, doi: 10.51920/jd.v11i2.200.
I. Romadhon and A. D. Indriyanti, “Rancang Bangun Sistem Informasi Penilaian Kinerja Karyawan Menggunakan Metode KPI pada PT Infomedia Nusantara,” vol. 01, pp. 24–34, 2020.
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