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Student Publication For Master

  1. Follow-up on fertilizer distribution to rice farming groups using the k-means algorithm classification approach (Mochamad Habil Noor)
  2. Classification of Students’ Academic Performance Using Neural Network and C4.5 Model (Sulika Sulika)
  3. Recommendation System for Selecting Web Programming Learning Materials for Vocational High School Students using Multi-criteria Recommendation Systems (Lia Wahyuliningtyas)
  4. Penilaian Kelayakan Calon Penyedia Jasa Konstruksi Pengadaan Barang/Jasa Pemerintah Menggunakan Machine Learning (Eva Yustina)
  5. Klasifikasi Prestasi Akademik Siswa Berdasarkan Nilai Rapor dan Kedisiplinan dengan Metode K-Nearest Neighbor(Afif Muhaimin)
  1. Sistem pendukung keputusan penilaian kinerja guru berbasis multi-criteria decision making (Andreas Setiyono)
  2. Spam Detection on Trending Twitter Topics in Indonesian Using Artificial Neural Network And Stochastic Gradient Descent (Heni Prasetyo)
  3. Comparison of Different Classification Techniques to Predict Student Graduation (Aan Fuad Subarkah)
  4. Perbandingan Feature extraction TF-IDF dan BOW Untuk Analisis Sentimen Berbasis SVM (Kurniawan Tri Putra)
  5. Performance Improvement of K-Nearest Neighbor Algorithm in KIP Scholarship Recipient Selection (Manzilur Rahman Romadhon)
  6. Pemetaan Kejadian Stunting Berdasarkan Status Ekonomi Keluarga Di Puskesmas Bangil Menggunakan Algoritma X-Means (Oong Alfa Salasa )
  7. Hoax Detection News Using Naïve Bayes and Support Vector Machine Algorithm (Nur Elyta Febriyanty)
  8. Hybrid Model Transfer Learning ResNet50 and Support Vector Machine for Face Mask Detection (Eko Agus Moh. Iqbal)
  9. Optimization of the Random Forest Method Using Principal Component Analysis to Predict House Prices(Emha Ahdan Fahmi Elmuna)
  10. The Evaluation of Computer Science Curriculum for High School Education Based on Similarity Analysis (Syaifudin Ramadhani)
  11. EVALUASI CLUSTERING K-MEANS DAN K-MEDOID PADA PERSEBARAN COVID-19 DI INDONESIA DENGAN METODE DAVIES-BOULDIN INDEX (DBI) (Fathurrahman)
  12. Analysis of the Use of Artificial Neural Network Models in Predicting Bitcoin Prices (Muhammad Sahi)
  13. Prediction Model of Revenue Restaurant’s Business Using Random Forest (Erfan Ainul Yakin)
  14. K-Means Binary Search Centroid With Dynamic Cluster for Java Island Health Clustering (Muhammad Andryan)
  15. Clustering Gempabumi di Wilayah Regional VII Menggunakan Pendekatan DBSCAN (Ihsan Bagus Fahad Arafat)
  16. Prediksi Curah Hujan Bulanan Berdasrkan Parameter Cuaca Menggunakan Jaringan Saraf Tiruan Levenberg Marquardt (Setiyaris Setiyaris)
  17. Pengaruh Jenis Kelamin, Usia, Personal Selling dan Brand Activation Terhadap Niat Beli Konsumen Pada Xiaomi (M. Husnus Syawab)
  18. Bidirectional GRU dengan Attention Mechanism pada Analisis Sentimen PLN Mobile (Moh. Ainur Rohman)
  19. ANALISIS SENTIMEN ARTIKEL BERITA PEMILU BERBASIS METODE KLASIFIKASI (Fathir)
  20. Prediksi Service Level Agreement Waktu Tempuh Kiriman Barang Dan Dokumen Pada PT Pos Indonesia Dengan Metode Random Forest Hybrid (Muhammad Isa Ansori)
  1. Studi Literature Analisis Potensi Pasar Marketplace terhadap Penjualan (Sya’Roni)
  2. IMPLEMENTASI METODE ALGORITMA COLLABORATIVE FILTERING DAN K-NEAREST NEIGHBOR PADA SISTEM REKOMENDASI E-COMMERCE (Dita Aisha)
  3. Deteksi Plagiarisme Berbasis Parafrase Pada Teks Bahasa Indonesia (Fauziyah Amini)
  4. REVIEW PENERAPAN METODE KLASIFIKASI PADA SISTEM REKOMENDASI SOSIAL KEMASYARAKATAN (Tri Gunantohadi)
  5. Support Vector Machine (SVM) dan Algoritma Naïve Bayes (NB) Untuk Mengklasifikasi Keterlambatan Pembayaran Sumbangan Pendidikan di Madrasah Ibtidaiyah (Dini Kristianti )
  6. Optimalisasi Formula Kandungan Zat Bahan Pakan Domba Dan Kambing Dengan Multivariate Linear Regression(Badruz Zamanil Charis)
  7. Phrase Based and Neural Network Translation for Text Transliteration from Arabic to Indonesia (Alvian Burhanuddin)
  8. Analisis Perbandingan Metode K-Nn Dan Decision Tree Dalam Klasifikasi Kenyamanan Thermal Bangunan (Ilham Yusuf Akbar )
  9. Analisis Sentimen Review Aplikasi Media Berita Online Pada Google Play menggunakan Metode Algoritma Support Vector Machines (SVM) Dan Naive Bayes (Ulfa Kusnia)
  1. Menilai Kecenderungan Nilai Antar Mata Pelajaran Menggunakan Association Rule Pada Rapidminer (Adi Nurrachman)
  2. Analysis of the Spread of COVID-19 in Local Areas in Indonesia (Alvian Burhanuddin)
  3. Analysis Classification Opinion of Policy Government Announces Cabinet Reshuffle on YouTube Comments Using 1D Convolutional Neural Networks (Ahmad Latif Qosim)
  4. Time Series Forecasting for the Spread of Covid-19 in Indonesia Using Curve Fitting (Arif Kurniawan)
  5. A Comparison of Naive Bayes Methods, Logistic Regression and KNN for Predicting Healing of Covid-19 Patients in Indonesia (Manzilur Rahman Romadhon)