Isma Fadlilah, Amelia (2023) PERANCANGAN DECISION SUPPORT SYSTEM DENGAN RSTUDIO UNTUK PENINGKATAN MUTU AKADEMIK DI UNTIRTA BERDASARKAN ANALISIS DATA MINING. S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.
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Abstract
Improving academic quality is a major challenge for higher education institutions, including Sultan Ageng Tirtayasa University (UNTIRTA). This research designs a Decision Support System (DSS) that utilizes data mining analysis techniques using the RStudio application, with a focus on efforts to improve academic quality at UNTIRTA. The data was obtained from a questionnaire in the form of a Google Form, which contains an assessment of the criteria for improving academic quality. This criterion is based on standards from BAN-PT and SPMI UNTIRTA regulations. The accuracy of the training data is 48% and the testing data is 62%. This DSS can help identify factors that influence academic quality, provide appropriate recommendations.
Item Type: | Thesis (S1) | ||||||
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Additional Information: | Peningkatan mutu akademik merupakan tantangan utama bagi lembaga pendidikan tinggi, termasuk Universitas Sultan Ageng Tirtayasa (UNTIRTA). Penelitian ini merancang Decision Support System (DSS) yang memanfaatkan teknik analisis data mining menggunakan aplikasi RStudio, dengan fokus pada upaya meningkatkan mutu akademik di UNTIRTA. Data diperoleh dari kuesioner dalam bentuk Google Form, yang berisikan penilaian terhadap kriteria untuk meningkatkan mutu akademik. Kriteria ini berdasarkan standar dari peraturan BAN-PT dan SPMI UNTIRTA. Hasil akurasi dari data training adalah 48% dan dari data testing adalah 62%. DSS ini dapat membantu mengidentifikasi faktor-faktor yang berpengaruh terhadap mutu akademik, memberikan prediksi, dan menghasilkan rekomendasi tindakan yang tepat. | ||||||
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | 03-Fakultas Teknik 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro |
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Depositing User: | Ms Amelia Isma Fadlilah | ||||||
Date Deposited: | 27 Sep 2023 15:15 | ||||||
Last Modified: | 27 Sep 2023 15:15 | ||||||
URI: | http://eprints.untirta.ac.id/id/eprint/30068 |
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