AHP-STANDAR SCORE: PENDEKATAN BARU DALAM SISTEM PEMERINGKATAN
Abstract
Pemeringkatan data dalam sebuah sistem klasifikasi merupakan hal yang penting untuk mengukur posisi datum dari sebaran data lainnya. Dalam implementasinya, sistem pemeringkatan banyak diterapkan dalam bidang evaluasi pendidikan, statistik, bahkan dalam dunia pemodelan komputasi. Paper ini menjelaskan tentang sebuah pendekatan baru dalam sistem pemeringkatan yang mengkombinasikan metode Multi-Atribut AHP dan metode Statistik Standar Score (Z-Score). Kombinasi metode ini dilakukan dengan mencari nilai kepentingan berpasangan kriteria dari sebuah data berbasis multi-atribut sehingga didapatkan nilai bobot kriteria, kemudian menggunakan data hasil Z-Score untuk memberikan klasifikasi dan pemeringkatan. Hasil pengujian data multi-atribut menunjukkan bahwa kombinasi AHP-Standar Score dapat menunjukkan klasifikasi dan pemeringkatan yang lebih baik.Kata Kunci : AHP, pemeringkatan, Z-Score.ABSTRACT Data ranking in a classification system is an important thing to measure the datum position from other data distribution. In the implementation, a ranking system is applied in lots of evaluation field of education, statistics, or even in the computational modeling world. This paper explained about a new approach in ranking system that combined AHP multi-attribute method and Statistics Standard Score (Z-score) method. This combination is done by finding the criteria-paired importance value of a multi-attribute based data so that criteria weighting values is obtained, and then use Z-score resulted data to determine the classification and ranking. The result of multi-attribute data shows that the combination of AHP-Standard Score could indicate a better classification and ranking. Keywords : AHP, ranking, Z-scoreDownloads
References
Arikunto, S., & Jabar, C. S. A. (2011). Evaluasi program pendidikan.
Astin, A. W. (2012). Assessment for excellence: The philosophy and practice of assessment and evaluation in higher education. Rowman & Littlefield Publishers.
Basri, B., & Assidiq, M. (2017). Klasifikasi Data pada Sistem Penjurusan dengan Preferensi Standar Simple Additive Weighting (PS-SAW). Jurnal Nasional Teknik Elektro Dan Teknologi Informasi (JNTETI), 6(4), 404–409. https://doi.org/http://dx.doi.org/10.22146/jnteti.v6i4.351
Basri, B., Syarli, S., & Febryatnti, F. (2018). Multi-Attribute Analysis With AHP Algorithm to Optimize Student Ranking Recomendation in Educational Process. In International Conference Research on Education, Social, Science and Technology (ICREST) 2018. Pare-Pare: IOP with Muhammadiyah University of Parepare.
Hegde, V., & Pallavi, M. S. (2015). Descriptive analytical approach to analyze the student performance by comparative study using Z score factor through R language. In Computational Intelligence and Computing Research (ICCIC), 2015 IEEE International Conference on (pp. 1–4). IEEE.
Kusumadewi, S., Hartati, S., Harjoko, A., & Wardoyo, R. (2006). Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu.
Saaty, T. L. (2013). The modern science of multicriteria decision making and its practical applications: The AHP/ANP approach. Operations Research, 61(5), 1101–1118.
Singh, R. P., & Nachtnebel, H. P. (2016). Analytical hierarchy process (AHP) application for reinforcement of hydropower strategy in Nepal. Renewable and Sustainable Energy Reviews, 55, 43–58.
