Performance measurement analysis using the performance Prism and objective matrix: a case study of KPUD Tani Wilis

Benaya Harsys, Iriani Iriani

Abstract


Performance is one the critical aspect in every company or business that needs to be considered. However, a common issue encountered is that companies often fail to accurately assess their business performance. Inaccurate performance measurements result in a lack of continuous improvement in productivity and instead negatively impact the overall performance quality, thereby influencing revenue growth. This research focuses on key performance indicators (KPIs) that deviate from the standards set by KPUD 'Tani Wilis'. Consequently, alternative performance measurement approaches, such as identifying indicators using the performance Prism and evaluating performance through the objective matrix, are necessary. The results indicate that 68% of the indicators across various dimensions are in good condition, while 32% are below standard, with the required threshold set at 75% for good performance. The primary challenges identified include maintaining service quality for customers and ensuring supply delivery accuracy. The proposed solutions involve implementing robust control and monitoring systems focused on customer service quality, with dedicated supervisors or quality control experts overseeing the process.


Keywords


performance; measurement; improvement; productivity

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References


Akhrouf. M.. & Derghoum. M. (2023). Use of Analytic Hierarchy Process Model for Selection of Health Infrastructure Projects. International Journal of the Analytic Hierarchy Process. 15(1). 1–26. https://doi.org/10.13033/IJAHP.V15I1.1040

Eko Purwanto. (2020). PENGANTAR BISNIS Era Revolusi Industri 4.0 Eko Purwanto (1st ed.). Sasanti Institute.

Iskandar. Y.. & Sudiar. M. (2022). Evaluation of Green Warehouse Performance Indicators Using Analytical Hierarchy Process and Objective Matrix (Case Study: PLN Cilegon). Proceedings of the 1st International Conference on Contemporary Risk Studies. 1(1). https://doi.org/10.4108/eai.31-3-2022.2320958

Mamdouh. N.. & Ahrouch. S. (2022). The Performance Prism of Cooperatives. International Journal of Scientific Engineering and Science. 6(2). 20–28.

Mollah. M. K.. & Erywardana. Y. S. (2019). Analisis pengukuran kinerja dengan Metode Performance Prism Berdasarkan Omax Scoring system di unit produksi PDAM Surya Sembada Kota Surabaya. Jurnal Tecnoscienza. 3(2). 280–292. http://www.ejournal.kahuripan.ac.id/index.php/TECNOSCIENZA/article/view/238

Nasution. R. H.. Harahap. U. N.. Hasibuan. Y. M.. Satria. D.. & Muhaimin. A. (2021). Analisa Pengukuran Kinerja Dengan Metode Performance Prism Dan Omax Di Pt . Torganda Pks Rantau. Jurnal SiMeTRi Rekayasa. 5035(1–6). 234–238.

Ningsih. N. A.. & Astuti. R. D. (2022). Analisis Pengukuran Kinerja Produksi Loom dengan Metode OMAX Scoring System pada Unit Weaving PT . Dan Liris. Seminar Dan Konferensi Nasional IDEC 2022. B(09). 1–9.

Oktriani. Y. (2020). Desain Model Bisnis Untuk Mencapai Pertumbuhan Perusahaan Yang Berkelanjutan (Studi Pada Pt Diera Mutiara International). ABIS: Accounting and Business Information Systems Journal. 6(3). 1–10. https://doi.org/10.22146/abis.v6i3.59092

Poerwanto. G. H.. Kristia. K.. & Pranatasari. F. (2021). Praktik Model Bisnis Berkelanjutan pada Komunitas UMKM di Yogyakarta. EXERO : Journal of Research in Business and Economics. 2(2). 183–204. https://doi.org/10.24071/exero.v2i2.4050

Putera. D. A.. Agung Dermawan. A.. Ilham. W.. & Rosie Oktavia Puspita Rini. R. (2022). Pengukuran Kinerja Perusahaan Dengan Objective Matrix (Omax) Pada Pt.Xyz. Jurnal Manajemen Rekayasa Dan Inovasi Bisnis. 1(1). 21–33. https://journal.iteba.ac.id/index.php/journalenterprise

Putra. D. E.. & Mursid. K. M. (2021). Application of Objective Matrix (Omax) Method for Measuring Productivity of Prol Tape Processing in UD. Purnama Jati. Jurnal Pangan dan Agroindustri. 9(1). 1–12. https://doi.org/10.21776/ub.jpa.2021.009.01.1

Rodrigues. D.. Godina. R.. & da Cruz. P. E. (2021). Key performance indicators selection through an analytic network process model for tooling and die industry. Sustainability (Switzerland). 13(24). https://doi.org/10.3390/su132413777

Syach Putra. P. I.. & Al amin. I. H. (2022). Implementasi Metode AHP Untuk Menentukan Pilihan Set-Top Box TV. Jurnal Tekno Kompak. 16(2). 15. https://doi.org/10.33365/jtk.v16i2.1564




DOI: http://dx.doi.org/10.22441/oe.2024.v16.i3.123

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