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Sistem Pendukung Keputusan Eligible Seleksi Nasional Berdasarkan Prestasi (SNBP) Menggunakan Metode Additive Ratio Assessment (ARAS): Studi Kasus: SMAN 8 Surabaya
Rhiziqo Adjie Syahputra
; Henni Endah Wahanani
; Budi Mukhamad Mulyo
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
The selection process for students eligible for the National Selection Based on Achievement (SNBP) requires objective and structured assessment because it involves various academic and non-academic criteria. This study aims to develop a Decision Support System (DSS) to determine the ranking of SNBP eligible students at SMAN 8 Surabaya using the Additive Ratio Assessment (ARAS) method. The ARAS method is used to evaluate student alternatives based on their report card scores for semesters 1-5, ac...
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Implementasi Metode Fuzzy Mamdani pada Sistem Pakar Mendiagnosis Penyakit Demam Berdarah
Thomas Andrew Imanzaghi
; Henni Endah Wahanani
; Agung Mustika Rizki
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 3
, No 1
(2025)
Indonesian people mostly tend to ignore health, especially dengue fever because the symptoms that arise are similar to common fever, this causes people with common fever symptoms to be reluctant to see a doctor. This study aims to help the public recognize the symptoms of dengue fever early by using the implementation of the fuzzy method in the dengue fever disease diagnosis system that uses specific datasets as a reference. Mamdani's fuzzy method, which is based on linguistic frameworks and fuz...
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Implementasi Item-Based Collaborative Filtering Untuk Rekomendasi Film
Rayhan Rizal Mahendra
; Fetty Tri Anggraeny
; Henni Endah Wahanani
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 2
, No 3
(2024)
Item-based collaborative filtering is a popular technique in recommendation systems that aims to provide suggestions for films to watch or services to users based on similarities between items. In this approach, the similarity between items is calculated using metrics such as cosine similarity, allowing the prediction of user preferences for items that have never been rated. This research implements Item-based collaborative filtering using datasets from Kaggle. Experimental results show that the...
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Implementasi Algoritma K-Nearest Neighbor (KNN) untuk Identifikasi Penyakit pada Tanaman Jeruk Berdasarkan Citra Daun
Abiyan Naufal Hilmi
; Eva Yulia Puspaningrum
; Henni Endah Wahanani
Router : Jurnal Teknik Informatika dan Terapan
Vol 2
, No 2
(2024)
The development of image processing technology today can create systems that are able to effectively recognize digital images, one of which is in the field of agriculture for plant disease identification. Citrus plants experience a decrease in productivity due to pathogen attacks on leaves such as Black Spot, Cancer, and CVDP so that disease identification is needed. The classification method that can be used to classify images is the K-Nearest Neighbor (K-NN) algorithm because it is simple and...
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