[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"ssr-repo-browse-{\"subject\":\"machine-learning\",\"page\":1}":3,"menu-footer-id":159,"menu-main-id":221},{"rows":4,"meta":150},[5,16,23,30,37,44,51,58,65,72,79,86,93,100,107,114,121,128,135,143],{"id":6,"source":7,"branch":8,"branch_name":8,"title":9,"authors":10,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":14,"availability":8,"url":15},"repo-dspace000006347","repo",null,"Deteksi Gambar Penyakit Kulit menggunakan Machine Learning dengan Metode Random Forest dan Support Vector Machine",[11],"Nadilla Amanda Martha Afrhissa",2025,"Skripsi (D4)","Deteksi dini terhadap penyakit kulit sangat penting untuk membantu proses diagnosis dan penanganan medis yang tepat. Penelitian ini bertujuan untuk mengembangkan sistem deteksi citra penyakit kulit menggunakan algoritma machine learning. Data yang digunakan terdiri dari tiga kelas penyakit kulit…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000006347&year=2025&title=deteksi-gambar-penyakit-kulit-menggunakan-machine-learning-dengan-metode-random-forest-dan-support-vector-machine",{"id":17,"source":7,"branch":8,"branch_name":8,"title":18,"authors":19,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":21,"availability":8,"url":22},"repo-dspace000005903","Pengembangan Sistem Penerjemah SIBI menjadi Teks dan Audio Menggunakan Algoritma Efficientnet B0",[20],"A Muflih Zaizafuny","Sistem Isyarat Bahasa Indonesia (SIBI) adalah metode komunikasi utama bagi penyandang tunarungu dan tunawicara di Indonesia yang masih sulit dipahami oleh masyarakat umum. Dengan perkembangan teknologi Artificial Intelligence (AI), sistem penerjemah bahasa isyarat dapat dikembangkan menggunakan…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000005903&year=2025&title=pengembangan-sistem-penerjemah-sibi-menjadi-teks-dan-audio-menggunakan-algoritma-efficientnet-b0",{"id":24,"source":7,"branch":8,"branch_name":8,"title":25,"authors":26,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":28,"availability":8,"url":29},"repo-dspace000005471","Rancang Bangun Sistem Deteksi Keausan Pada Mata Gerinda untuk Meningkatkan Faktor Keselamatan",[27],"Daffa Destrata","Keausan pada mata gerinda menjadi salah satu penyebab utama menurunnya kualitas hasil pemotongan dan meningkatnya risiko kecelakaan kerja di industri manufaktur. Pemantauan secara manual yang selama ini dilakukan bersifat subjektif dan tidak mampu memberikan deteksi secara real-time, sehingga…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000005471&year=2025&title=rancang-bangun-sistem-deteksi-keausan-pada-mata-gerinda-untuk-meningkatkan-faktor-keselamatan",{"id":31,"source":7,"branch":8,"branch_name":8,"title":32,"authors":33,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":35,"availability":8,"url":36},"repo-dspace000004898","Using Machine Learning (ML) to Predict Potential Failures from Harmonics Historical Data of The Broken Motor",[34],"Karunia Sandhy Setiawan","Abstract - A predictive maintenance strategy is proposed for a 0.37 kW, 380 V AC induction motor affected by internal anomalies such as broken rotor bars. 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Namun demikian, belum diketahui apakah hasil analisis sentimen yang dihasilkan dapat…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002598&year=2025&title=analisis-sentimen-pengunjung-terhadap-malang-creative-center-berdasarkan-berbagai-aspek-menggunakan-natural-language-processing",{"id":87,"source":7,"branch":8,"branch_name":8,"title":88,"authors":89,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":91,"availability":8,"url":92},"repo-dspace000002577","Perbandingan Metode Klasifikasi untuk Aktivitas Rileks, Go & Nogo, Membaca, dan Proses Rekonstruksi Viat-Map",[90],"Muhammad Asadillah Ramadhan","Electroencephalography (EEG) merupakan metode pencatatan aktivitas listrik otak yang dapat digunakan untuk mengidentifikasi pola berpikir manusia. Penelitian ini bertujuan untuk menganalisis efektivitas penggunaan metode EEG dalam klasifikasi kategori berpikir manusia, seperti rileks, membaca…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002577&year=2025&title=perbandingan-metode-klasifikasi-untuk-aktivitas-rileks-go-nogo-membaca-dan-proses-rekonstruksi-viat-map",{"id":94,"source":7,"branch":8,"branch_name":8,"title":95,"authors":96,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":98,"availability":8,"url":99},"repo-dspace000002563","Pengembangan Sistem Prediksi Berbasis Machine Learning untuk Rekomendasi Prioritas Pemanggilan Pelanggan pada Call Center di Bidang Leasing (Studi Kasus PT Intelix Global Crossing)",[97],"Ilham Yudantyo","PT Intelix Global Crossing yang menjadi mitra dalam penelitian ini merupakan perusahaan berbasis teknologi informasi yang bergerak di bidang solusi local contact center dan collection systerm terbesar di Indonesia, memerlukan adanya sebuah sistem yang dapat memprediksi dan memberikan rekomendasi…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002563&year=2025&title=pengembangan-sistem-prediksi-berbasis-machine-learning-untuk-rekomendasi-prioritas-pemanggilan-pelanggan-pada-call-center-di-bidang-leasing-studi-kasus-pt-intelix-global-crossing",{"id":101,"source":7,"branch":8,"branch_name":8,"title":102,"authors":103,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":105,"availability":8,"url":106},"repo-dspace000002550","Predicting Future Downtime Using Online Reporting on Track for Monitoring Production Process in Dairy Industry Using Machine Learning Algorithm",[104],"Saefulloh Fatah Putra Kyranna","Manufacturers are currently embracing the notion of a convergence between the cyber and physical world. Manufacturers worldwide are embracing Industry 4.0 standards to promote modern information technology in their factory production processes, leading to the development of Smart Manufacturing…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002550&year=2025&title=predicting-future-downtime-using-online-reporting-on-track-for-monitoring-production-process-in-dairy-industry-using-machine-learning-algorithm",{"id":108,"source":7,"branch":8,"branch_name":8,"title":109,"authors":110,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":112,"availability":8,"url":113},"repo-dspace000002426","Rancang Bangun Aplikasi Prediksi Kondisi Mesin dan Evaluasi Implementasi menggunakan Metode Pieces di PT Aiopa",[111],"Muhammad Hatta","Dalam era Industri 4.0, pemanfaatan teknologi informasi menjadi sangat pentinguntuk meningkatkan efisiensi dan efektivitas operasional di sektor industri. Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi prediksi kondisi mesin serta mengevaluasi implementasinya menggunakan metode…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002426&year=2025&title=rancang-bangun-aplikasi-prediksi-kondisi-mesin-dan-evaluasi-implementasi-menggunakan-metode-pieces-di-pt-aiopa",{"id":115,"source":7,"branch":8,"branch_name":8,"title":116,"authors":117,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":119,"availability":8,"url":120},"repo-dspace000002424","Penerapan Metode Bert pada Sentimen Analisis Berita",[118],"Mellitya Silviandro Hening","Di era digital ini, citra perusahaan menjadi hal yang sangat penting untuk dijaga, terutama karena informasi dapat menyebar dengan cepat melalui media sosial dan berita daring. Pemberitaan negatif berpotensi merusak reputasi, sedangkan berita positif dapat memperkuat citra perusahaan. Oleh karena…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002424&year=2025&title=penerapan-metode-bert-pada-sentimen-analisis-berita",{"id":122,"source":7,"branch":8,"branch_name":8,"title":123,"authors":124,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":126,"availability":8,"url":127},"repo-dspace000002400","Klasifikasi Status Gizi Balita Menggunakan Algoritma Machine Learning pada Posyandu di Desa Mlandangan",[125],"Yisha Zukhrufin Angelyna","Status gizi merupakan penilaian tercukupinya kebutuhan asupan gizi harian serta penggunaan zat gizi oleh tubuh. Malnutrisi kronis selama pertumbuhan dan perkembangan pada balita dapat dilakukan menggunakan perhitungan z-score yang mengacu pada antropometri yang ditetapkan dengan ambang batas","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002400&year=2025&title=klasifikasi-status-gizi-balita-menggunakan-algoritma-machine-learning-pada-posyandu-di-desa-mlandangan",{"id":129,"source":7,"branch":8,"branch_name":8,"title":130,"authors":131,"publisher":8,"year":12,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":133,"availability":8,"url":134},"repo-dspace000002396","Implementasi Machine Learning dalam Sistem Prediksi dan Rekomendasi Program Diet Terintegrasi LLM",[132],"Sely Ruli Amanda","Masalah malnutrisi, baik dalam bentuk kelebihan maupun kekurangan berat badan, masih menjadi tantangan kesehatan global. Gaya hidup urban yang tidak sehat, konsumsi makanan ultra proses, dan keterbatasan akses terhadap intervensi gizi yang tepat turut memperparah permasalahan ini. Di sisi lain…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000002396&year=2025&title=implementasi-machine-learning-dalam-sistem-prediksi-dan-rekomendasi-program-diet-terintegrasi-llm",{"id":136,"source":7,"branch":8,"branch_name":8,"title":137,"authors":138,"publisher":8,"year":140,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":141,"availability":8,"url":142},"repo-dspace000005097","Sistem Prediksi Kebutuhan Bandwidth dengan Machine Learning metode Long Short Term Memory (LSTM)",[139],"Ananta Wicaksana",2024,"Internet telah menjadi kebutuhan esensial dalam berbagai aspek kehidupan, terutama di lingkungan publik seperti Malang Creative Center (MCC). Namun, pengelolaan bandwidth yang masih dilakukan secara manual di MCC menyebabkan alokasi yang tidak efisien dan berdampak pada kualitas layanan. Oleh…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000005097&year=2024&title=sistem-prediksi-kebutuhan-bandwidth-dengan-machine-learning-metode-long-short-term-memory-lstm",{"id":144,"source":7,"branch":8,"branch_name":8,"title":145,"authors":146,"publisher":8,"year":140,"type":13,"call_number":8,"isbn":8,"cover":8,"abstract":148,"availability":8,"url":149},"repo-dspace000004609","Klasifikasi Artikel Berita Berdasarkan Kategori Menggunakan Naive Bayes",[147],"Ratu Atikah Nurissobach","Tujuan penelitian ini adalah untuk membuat model yang dapat digunakan untuk mengkategorikan artikel berita berdasarkan kategori dengan menggunakan algoritma Naive Bayes. Artikel berita TIMES Indonesia digunakan sebagai studi kasus penelitian ini. Metode Naive Bayes dipilih karena mampu menangani…","https:\u002F\u002Frepository.polinema.ac.id\u002Fcollection\u002Fdetail?id=dspace000004609&year=2024&title=klasifikasi-artikel-berita-berdasarkan-kategori-menggunakan-naive-bayes",{"page":151,"per_page":152,"total":153,"last_page":154,"filter":155,"label":158},1,20,31,2,{"subject":156},{"slug":157,"name":158},"machine-learning","Machine Learning",[160,183,200],[161,167,171,175,179],{"id":162,"parent":163,"target":164,"content":165,"title":165,"url":166},2500,"0","","Polinema 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