Pemeringkatan Perguruan Tinggi Menggunakan Metode pLSA (Probabilistic Latent Semantic Analysis) untuk Mengukur Tingkat Kesiapterapan Teknologi Perguruan Tinggi di Indonesia

Aliyanto, Donny (2017) Pemeringkatan Perguruan Tinggi Menggunakan Metode pLSA (Probabilistic Latent Semantic Analysis) untuk Mengukur Tingkat Kesiapterapan Teknologi Perguruan Tinggi di Indonesia. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemeringkatan perguruan tinggi merupakan sebuah cara untuk mengukur kualitas dan kesiapan perguruan tinggi dalam menjalankan proses pembelajaran kepada mahasiswa yang dilihat dari berbagai macam kriteria penilaian. Pemeringkatan perguruan tinggi menjadi salah satu hal yang penting untuk mengukur reputasi perguruan tinggi di dunia internasional maupun di dalam negeri. Semakin baik reputasi, maka akan semakin baik kualitas pendidikan perguruan tinggi tersebut. Aspek kriteria penilaian bergantung pada berbagai macam penilaian yang dapat disimpulkan menjadi dua jenis yaitu kualitatif dan kuantitatif. =====================================================================
University Rangking is a way to measure quality and readiness of college to apply their learning process to college student that seen from some criteria assessment. Universities ranking be important to measure college reputation in the outside world and within the country. With a good reputation, then can show if quality college is well. Not only that, but can become reflection of quality national education in the international outlook. Aspect of assessment relies variety of assessment that can be summarized into two types that is qualitative and quantitative.

Item Type: Thesis (Undergraduate)
Additional Information: RSIf 006.7 Ali p-1
Uncontrolled Keywords: Reputasi Akademik, Probabilistic Latent Semantic Analysis, PLSA, Expectation Maximization, Pemeringkatan Universitas
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics)
Divisions: Faculty of Information Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User: Donny Aliyanto
Date Deposited: 16 Nov 2017 03:40
Last Modified: 06 Mar 2019 02:14
URI: http://repository.its.ac.id/id/eprint/43724

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