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All Journal Informatika Mulawarman JIKO (Jurnal Informatika dan Komputer) Jurnal Ilmiah Matrik Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Abdimas Mahakam METIK JURNAL Progresif: Jurnal Ilmiah Komputer JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Reswara: Jurnal Pengabdian Kepada Masyarakat Teknika Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Bangkit Indonesia Jurtik STMIK Bandung

Taghfirul Azhima Yoga Siswa, Taghfirul Azhima Yoga

Universitas Muhammadiyah Kalimantan Timur

Author-ID : 3868511

Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences

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Prediksi Kinerja Mahasiswa Dalam Perkuliahan Berbasis Learning Management System Menggunakan Algoritma Naïve Bayes Asnur Karima; Taghfirul Azhima Yoga Siswa
Progresif: Jurnal Ilmiah Komputer Vol 18, No 2: Agustus 2022
Publisher : STMIK Banjarbaru

The Covid-19 pandemic that has hit Indonesia since the beginning of 2020 has had a major impact on the world of education, so that the learning process that was originally carried out face-to-face has turned into online learning. In such a situation, the University of Muhammadiyah East Kalimantan utilizes the Learning Management System (LMS) in an online learning system using the LMS Open Learning platform. The purpose of this study is to find the best attribute values using Correlation Based Featured Selection and to test the performance of the Naïve Bayes algorithm using Confusion Matrix. The attributes used after going through the feature selection are time spent on course, course completed, assignments, mid-semester exams and quizzes. The results of testing 178 data with a ratio of training data schemes and testing data of 70:30 produce an accuracy of 98.14%, 80:20 produces an accuracy of 97.22% and 90:10 produces an accuracy of 94.44%. Thus, the best accuracy is obtained at 70:30 data composition, which is 98.14%.Keywords: Accuracy level; Naive Bayes; Online learning; Prediction Abstrak. Pandemi Covid-19 yang melanda Indonesia sejak awal tahun 2020 memberikan dampak besar terhadap dunia pendidikan, sehingga proses pembelajaran yang semula dilakukan secara tatap muka berubah menjadi Pembelajaran Dalam Jaringan (daring). Dalam situasi seperti tersebut, Universitas Muhammadiyah Kalimantan Timur memanfaatan Learning Management System (LMS) dalam sistem pembelajaran daring menggunakan platform LMS Open Learning. Tujuan penelitian ini adalah mencari nilai atribut terbaik menggunakan Correlation Based Featured Selection dan menguji performa algoritma Naïve Bayes menggunakan Confusion Matrix. Atribut yang digunakan setelah melalui seleksi fitur adalah time spent on course, course completed, nilai penugasan, nilai Ujian Tenga Semester dan nilai quiz. Hasil pengujian 178 data dengan rasio skema data training dan data testing 70:30 menghasilkan akurasi sebesar 98,14%, 80:20 menghasilkan akurasi sebesar 97,22% dan 90:10 menghasilkan akurasi sebesar 94,44%. Dengan demikian, akurasi terbaik diperoleh pada komposisi data 70:30, yaitu sebesar 98,14%.Kata kunci: Akurasi; Naïve Bayes; Pembelajaran dalam jaringan; Prediksi

Implementasi K-Nearest Neighbor Dalam Memprediksi Keterlambatan Pembayaran Biaya Kuliah Di Perguruan Tinggi Muhammad Rhosyid Akhmad; Taghfirul Azhima Yoga Siswa
Progresif: Jurnal Ilmiah Komputer Vol 18, No 2: Agustus 2022
Publisher : STMIK Banjarbaru

The delay in payment of tuition fees at the Muhammadiyah University of East Kalimantan for the 2020/2021 academic year reached 3,018 out of a total of 5,533 students. The number of latecomers is quite large because it exceeds half of the total students. It is deemed necessary to conduct an analysis related to the late payment, so that prevention and treatment can be carried out as early as possible. The purpose of this study is to determine the parameters of delay in paying tuition fees, implementing the K-Nearest Neighbor algorithm, and evaluating the performance of the algorithm using a confusion matrix. The amount of data used for the algorithm performance testing process is 12,408 records with a ratio of 80% training data and 20% testing data. The results of the evaluation test showed that the accuracy of k=3 was 52.82%, k=5 was 52.49%, k=7 was 52.37%, k=9 was 52.33%, and k=11 was 52.53%. The best data test results were obtained at k = 3, namely 52.82%.Keywords: Accuracy; K-Nearest Neighbor; Tuition Fee Payment, Confusion matrix Abstrak. Keterlambatan pembayaran biaya kuliah di Universitas Muhammadiyah Kalimantan Timur tahun ajaran 2020/2021 mencapai 3.018 dari total keseluruhan 5.533 mahasiswa. Jumlah yang terlambat tersebut tergolong cukup banyak karena melebihi separuh dari keseluruhan mahasiswa. Dipandang perlu untuk melakukan analisis berkaitan dengan keterlambatan pembayaran tersebut, agar dapat dilakukan pencegahan dan penanganan sedini mungkin. Tujuan penelitian ini adalah menentukan parameter keterlambatan dari pembayaran biaya kuliah, mengimplementasi algoritma K-Nearest Neighbor, dan mengevaluasi kinerja algortima menggunakan Confusion Matrix. Jumlah data yang digunakan untuk proses pengujian kinerja algoritma adalah 12.408 record dengan rasio 80% data training dan 20% data testing. Hasil pengujian evaluasi didapatkan akurasi k=3 sebesar 52,82%, k=5 sebesar 52,49%, k=7 sebesar 52,37%, k=9 sebesar 52,33%, dan k=11 sebesar 52,53%. Hasil pengujian data terbaik didapatkan pada nilai k=3 yaitu 52,82%.Kata kunci: Akurasi; K-Nearest Neighbor; Pembayaran biaya kuliah, Confusion matrix

Co-Authors Agustya Nanda Pratiwi Anggiq Karisma Aji Restu Anis Nurrohkayati Anton Prafanto Anton Saputra Arbansyah Arbansyah Asnur Karima Darmawan Setiya Budi Gubtha Mahendra Putra Heri Abijono Ilham Taufiq Jubaidi Jubaidi Mardiana Mardiana Muhammad Najeri Al Syahrin Muhammad Norhalimi Muhammad Rhosyid Akhmad Naufal Azmi Verdikha Paula Mariana Kustiawan Pitoyo Pitoyo Prihandoko, Prihandoko Raenald Syaputra Renaldi Panji Wibowo Rizky Aspiah Santi Yatnikasari Siti Muawwanah Wawan Joko Pranoto Wawan Joko Pranoto Yoga Priantama

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