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All Journal Journal of Mathematics Education and Application (JMEA) Martabe : Jurnal Pengabdian Kepada Masyarakat Teorema: Teori dan Riset Matematika Jurnal Cendekia : Jurnal Pendidikan Matematika MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Indonesian Journal of Education and Mathematical Science Journal Mathematics Education Sigma [JMES] Journal of English Language and Education Kognitif: Jurnal Riset HOTS Pendidikan Matematika EduMatika: Jurnal MIPA Jurnal Inovasi Pembelajaran dan Pendidikan Islam Jurnal Pendidikan Matematika Portal Riset dan Inovasi Sistem Perangkat Lunak Tsabit
Tua Halomoan Harahap, Tua Halomoan
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Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

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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
An Integer Linear Programming Model for Diagnosing Unmastered Mathematical Topics Based on Bloom's Cognitive Domains Irvan, Irvan; Romantica, Krishna Prafidya; Azis, Zainal; Harahap, Tua Halomoan
Indonesian Journal of Education and Mathematical Science Vol 7, No 2 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v7i2.27150

Abstract

This study aims to develop a mathematical model based on Integer Linear Programming (ILP) to map unmastered mathematical topics among senior high school students according to the cognitive domains of Bloom's Taxonomy, namely Knowledge (C1), Comprehension (C2), and Application (C3). The research method employed a quantitative approach, utilizing test result data from a 48-item instrument covering 16 mathematical subtopics, administered to 147 twelfth-grade students in the Natural Science program. The data were analyzed using LINDO 6.1 software to generate a profile of student mastery for each subtopic and cognitive domain. The results indicate that student mastery was generally higher in the Knowledge (C1) domain, with eight subtopics achieved, compared to the Comprehension (C2) domain with six subtopics and the Application (C3) domain with five subtopics. Out of the total 48 test items, only 19 items (39.6%) were mastered by the students, while 29 items (60.4%) were not. The Equations and Inequalities (X2) subtopic was the only material not mastered across all three domains. These findings suggest the need for learning strategies that place greater emphasis on strengthening conceptual understanding and contextual application. The application of the ILP model in this study proves effective as a diagnostic tool for identifying student weaknesses in a detailed and objective manner, thereby serving as a reference for teachers in designing targeted remedial programs. Furthermore, this model has the potential to be replicated in other schools to continuously monitor the development of student proficiency.
Co-Authors 'Afifah, Nur Al Khowarizmi Azis, Zainal Baehaqi Br Sitepu, Zenfiqa Aditya Ramadhani Dedy Kiswanto Ellis Mardiana Panggabean Famella, Ajeng Harahap, Yeni Sahfitri Hutabarat, Dina Safira Ihda, Robiatul Irvan Irvan Kumala, Putri Manurung, Siti Aminah Marah Doly Nasution Maria Magdalena Mayoza, Hernilam Nurul Maulida Surbakti Panggabean, Suvriadi Puspita Dewi, Puspita Putra, Arianto Putri, Tiara Zakiah Ramadhani, Nisa Romantica, Krishna Prafidya Siambaton, Muhammad Zulfansyuri Simbolon, Mangapen Siregar, Muhammad Rofik Sitorus, Niken Ananda Surya Wisada Dachi Utami, Dinda