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Found 7 from your keywords: subject="Sistem Rekomendasi"
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PREDIKSI HASIL SPMB JALUR TKA DENGAN PENDEKATAN ENSEMBLE LEARNING STACKING
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Maulana, Jimmy

The Seleksi Penerimaan Murid Baru (SPMB) through the Tes Kemampuan Akademik (TKA) pathway for senior high schools in Palembang is a competitive process that creates uncertainty in determining students’ admission chances. This study aims to develop a prediction model for student admission using a machine learning approach based on ensemble learning stacking. The dataset consists of 4,952 appli…

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xiii, 24 hlm.; ilus.; 29 cm
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T1959792026
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REKOMENDASI PEMILIHAN SEKOLAH MENENGAH ATAS BERBASIS DOMISILI DENGAN MENGGUNA…
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Sepriadi, Muhammad Rizki

School selection at the senior high school level is an important decision amid intense competition in the student admission process and multiple influencing factors such as academic performance, domicile, and school capacity. This study aims to develop a recommendation system based on stacking ensemble learning that combines Random Forest and XGBoost as base learners, with Logistic Regression a…

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xv, 140 hlm.; ilus.; 29 cm
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T1959772026
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SISTEM REKOMENDASI PEMILIHAN LAPTOP MENGGUNAKAN KOMBINASI METODE ROC DAN MOORA
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Qadri, Adnan Al

The increasing demand for laptops in the digital era is often not aligned with the ease of choosing the right specifications due to the vast variety of brands and features available in the market. This research aims to develop an objective Decision Support System (DSS) for laptop selection by integrating the Rank Order Centroid (ROC) method for criteria weighting and Multi-Objective Optimizatio…

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x, 68 hlm.; ilus.; 29 cm
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T1956342026
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SISTEM REKOMENDASI SELEKSI PENERIMA MAKANAN TAMBAHAN UNTUK PENCEGAHAN STUNTIN…
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Syafara, Zweta Anggun

Stunting remains a significant health problem in Indonesia, particularly among toddlers. The government has attempted to prevent stunting through various programs, one of which is the Supplementary Feeding Program (PMT) for toddlers. However, in practice, the distribution of PMT assistance is often not well-targeted due to the lack of an adequate support system. This study aims to develop a Dec…

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viii, 234 hlm.; ilus.; 29 cm
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T1919612026
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SISTEM REKOMENDASI TEMPAT WISATA DI INDONESIA MENGGUNAKAN METODE MATRIX FACTO…
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Angelia, Nadya 

Indonesia has various tourist destinations. The large number of tourist destinations makes people confused about choosing a suitable tourist destination. The recommendation system is a suitable way to help Indonesian people choose tourist destinations that suit their preferences. One recommendation system method is matrix factorization. This research uses a matrix factorization algorithm, namel…

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xvi, 72 hlm.; ilus.; 29 cm
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T1505922024
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Penerapan metode content based filtering pada sistem citizen journalism berba…
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Muhammad Rendi

Berkembangnya teknologi informasi menyebabkan perubahan cara dalamrnkegiatan jurnalisme. Salah satu media untuk melakukan kegiatan jurnalisme ialahrndengan memanfaatkan sistem citizen journalism. Meningkatnya jumlah penggunarninternet berpengaruh juga bagi peningkatan jumlah pengguna sistem citizenrnjournalism. Dengan meningkatnya jumlah pengguna maka akan berdampak denganrnpeningkatan jumlah b…

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xvi, 134 hlm. : ilus.
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Pengembangan sistem rekomendasi produk menggunakan item collaborative filteri…
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Bella Bretta Putri Rudy

Einfaltrue Cultr merupakan toko ritel yang menyediakan berbagai jenis merchandise dari baju kaos, celana, kemeja flannel, jaket, dan aksesoris lainnya. Dengan bervariasinya jenis produk yang ada pada Einfaltrue Cultr, maka timbul permasalahan yaitu pelanggan akan kesulitan untuk memilih produk yang diinginkan. Sistem rekomendasi produk dapat membantu merekomendasikan para pelanggan agar le…

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xv, 140 hlm. : ilus.
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