PREDIKSI KELULUSAN MAHASISWA FAKULTAS TEKNIK UNIVERSITAS BINA DARMA MENGGUNAKAN ALGORITMA NAÏVE BAYES
نویسندگان
چکیده
Penelitian ini digunakan untuk memprediksi kelulusan mahasiswa fakultas teknik pada universitas bina darma sebagai salah satu penunjang dalam pengambilan keputusan dengan memanfaatkan data yang terdiri dari sks dan Indek Prestasi Kumulatif. Tahapan penelitian menggunakan Knowladge Discovery In Database (KDD) algoritma Nae Bayes. Berdasarkan telah dilakukan Training (latih) sebanyak 151 record Testing (uji) 120 record. maka didapatkan hasil akurasi perhitungan confusion matrix multiclass bahwa nilai prediksi nae bayes yaitu 78 akan lulus di semester 8 sebesar 98%, 9 24 96%, 10 3 100%, disemester 12 15 Kemudian secara keseluruhan 95,33%. tersebut sudah cukup menentukan mahasiswa.
منابع مشابه
Sistem Informasi Eksekutif Berbasis Web pada Fakultas Pertanian Universitas Muhammadiyah Palembang
Information technology (IT) is able to fulfill one of the main needs of an organization, such as how the executive know and manage the performance of the organization he leads, including the human resources (HR). Faculty of Agriculture, University of Muhammadiyah Palembang (UMP) has had personnel information system which is used to manage HR data both employees and lecturers. However, the infor...
متن کاملSistem Informasi Pengarsipan Menggunakan Algoritma Levensthein String pada Kecamatan Seberang Ulu II
Archival information systems in government agency is one of the most used applications for daily acitivities. One feature in application management information document is searching. This feature serves to search for documents from a collection of available information based on keywords entered by the user. But some researches on a search engine (searching) concluded that the average user error...
متن کاملIntegrating Naïve Bayes and FOIL
A novel relational learning approach that tightly integrates the naı̈ve Bayes learning scheme with the inductive logic programming rule-learner FOIL is presented. In contrast to previous combinations that have employed naı̈ve Bayes only for post-processing the rule sets, the presented approach employs the naı̈ve Bayes criterion to guide its search directly. The proposed technique is implemented in...
متن کاملCascading Customized Naïve Bayes Couple
Naïve Bayes (NB) is an efficient and effective classifier in many cases. However, NB might suffer from poor performance when its conditional independence assumption is violated. While most recent research focuses on improving NB by alleviating the conditional independence assumption, we propose a new Meta learning technique to scale up NB by assuming an altered strategy to the traditional Casca...
متن کاملInterpretable Boosted Naïve Bayes Classification
Voting methods such as boosting and bagging provide substantial improvements in classification performance in many problem domains. However, the resulting predictions can prove inscrutable to end-users. This is especially problematic in domains such as medicine, where end-user acceptance often depends on the ability of a classifier to explain its reasoning. Here we propose a variant of the boos...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika)
سال: 2023
ISSN: ['2540-8984']
DOI: https://doi.org/10.29100/jipi.v8i1.3459