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Sistem Pendukung Keputusan Composite Performance Index (CPI) Dalam Menentukan Kenaikan Golongan Karyawan Sari, Indah Purnama; Dachi, Surya Wisada; Harahap, Tua Halomoan
Portal Riset dan Inovasi Sistem Perangkat Lunak Vol. 2 No. 2 (2024): Artikel Penelitian
Publisher : SoraTekno Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59696/prinsip.v2i2.74

Abstract

Peran sistem pendukung keputusan akan membantu pihak kepegawaian untuk mencapai tujuan dari penilaian kinerja karyawan seperti kenaikan golongan tanpa mengesampingkan parameter-parameter yang sudah ditentukan oleh pihak instansi terkait. Metode Composite Performance Index (CPI) adalah Indikator gabungan yang dapat digunakan untuk menentukan suatu penilaian atau peringkat dari berbagai alternatif (i) dengan berdasarkan beberapa kriteria (j). Hasil penelitian ini menunjukkan bahwa perhitungan nilai alternatif dan tabel index gabungan memperoleh hasil alternatif B3 memiliki nilai tertinggi dan mendapat ranking pertama serta mendapatkan kenaikan golongan paling tinggi yaitu dari 1A/4 menjadi 1B/0 pada periode 2019 dengan nilai 108,78.
An Optimization Approach Goal Programming to Improve the Academic and Administrative Quality of Postgraduate Programs Azis, Zainal; Al-Khowarizmi, Al-Khowarizmi; Harahap, Tua Halomoan; Firdaus, Muliawan; Irvan, Irvan
Indonesian Journal of Education and Mathematical Science Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v7i1.28873

Abstract

The main objective of this article is to implement the GP approach to improve academic and administrative performance at UMSU postgraduates. In the context of expected results, this article is intended so that UMSU postgraduates can establish strategies to achieve higher academic standards and create a more conducive educational environment through achieving predetermined targets, which include improving the quality of teaching and learning, effectiveness of program administration, and student and lecturer satisfaction with the academic process. The article can make a significant contribution to the academic literature in the field of educational management and operations by offering a new perspective on the application of GP and AHP in a higher education context. Specifically, this article shows how quantitative approaches can be used to improve decision making in the management of academic programs and administration, thereby providing valuable practical and theoretical insights for the development of educational policy and managerial practice in the higher education sector. It can be seen from the results that the parameters in this paper contribute to the weight of the objective (w_1), target (T_1), and the budget constraint (B), all of which play an important role in determining the optimal solution produced by the model