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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Linguistik Komputasional
Fadli Husein Wattiheluw
Institut Teknologi Sepuluh September Surabaya
Computer Science & IT Dentistry Education Library & Information Science

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Pembobotan Kata berdasarkan Kluster untuk Peringkasan Otomatis Multi Dokumen Lukman Hakim; Fadli Husein Wattiheluw; Agus Zainal Arifin; Aminul Wahib
Jurnal Linguistik Komputasional Vol 1 No 2 (2018): Vol. 1, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (575.381 KB) | DOI: 10.26418/jlk.v1i2.7

Abstract

Multi-document summarization is a technique for getting information. The information consists of several lines of sentences that aim to describe the contents of the entire document relevantly. Several algorithms with various criteria have been carried out. In general, these criteria are the preprocessing, cluster, and representative sentence selection to produce summaries that have high relevance. In some conditions, the cluster stage is one of the important stages to produce summarization. Existing research cannot determine the number of clusters to be formed. Therefore, we propose clustering techniques using cluster hierarchy. This technique measures the similarity between sentences using cosine similarity. These sentences are clustered based on their similarity values. Clusters that have the highest level of similarity with other clusters will be merged into one cluster. This merger process will continue until one cluster remains. Experimental results on the 2004 Document Understanding Document (DUC) dataset and using two scenarios that use 132, 135, 137 and 140 clusters resulting in fluctuating values. The smaller the number of clusters does not guarantee an increase in the value of ROUGE-1. The method proposed using the same number of clusters has a lower ROUGE-1 value than the previous method. This is because in cluster 140 the similarity values in each cluster experienced a decrease in similarity values.
Peringkasan Otomatis Multi Dokumen menggunakan Hirarki Kluster Lukman Hakim; Fadli Husein Wattiheluw; Agus Zainal Arifin; Aminul Wahib
Jurnal Linguistik Komputasional Vol 1 No 2 (2018): Vol. 1, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jlk.v1i2.86

Abstract

Multi-document summarization is a technique for getting information. The information consists of several lines of sentences that aim to describe the contents of the entire document relevantly. Several algorithms with various criteria have been carried out. In general, these criteria are the preprocessing, cluster, and representative sentence selection to produce summaries that have high relevance. In some conditions, the cluster stage is one of the important stages to produce summarization. Existing research cannot determine the number of clusters to be formed. Therefore, we propose clustering techniques using cluster hierarchy. This technique measures the similarity between sentences using cosine similarity. These sentences are clustered based on their similarity values. Clusters that have the highest level of similarity with other clusters will be merged into one cluster. This merger process will continue until one cluster remains. Experimental results on the 2004 Document Understanding Document (DUC) dataset and using two scenarios that use 132, 135, 137 and 140 clusters resulting in fluctuating values. The smaller the number of clusters does not guarantee an increase in the value of ROUGE-1. The method proposed using the same number of clusters has a lower ROUGE-1 value than the previous method. This is because in cluster 140 the similarity values ​​in each cluster experienced a decrease in similarity values.
KLASIFIKASI KUALITAS PERANGKAT LUNAK BERDASARKAN ISO/IEC 25010 MENGGUNAKAN AHP DAN FUZZY MAMDANI UNTUK SITUS WEB E-COMMERCE Fadli Husein Wattiheluw; Siti Rochimah; Chastine Fatichah
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 17, No. 1, Januari 2019
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v17i1.a820

Abstract

Evaluasi kualitas fungsional dan antar muka situs web e-commerce dari perspektif pengguna sangat penting untuk membangun atau mengembangkan situs web e-commerce yang memenuhi standar kualitas. Namun, untuk menilai kualitas fungsional dan antar muka dari situs web e-commerce sulit untuk didefinisikan sehingga membutuhkan model evaluasi perangkat lunak. Pentingnya evaluasi kualitas situs web e-commerce berdasarkan karakteristik perangkat lunak utnuk dapat dikembangkan dan menyesuaikan standar kualitas perangkat lunak.Penelitian ini mengusulkan sebuah model evaluasi kualitas situs web e-commerce berdasarkan karakteristik pada functional suitability, performance efficiency, reliability dan usability pada ISO/IEC 25010. Pada penelitian ini menggunakan metode Fuzzy Mamdani untuk menilai kualitas dari situs web e-commerce berdasarkan karakteristik dan pembobotan kepentingan karakteristik menggunakan metode Analytical Hierarchy Process. Model yang diusulkan diterapkan ke beberapa situs web e-commerce di Indonesia sebagai studi kasus untuk mengevaluasi tingkat kualitas perangkat lunak. Hasil yang didapat dari model evaluasi dapat membantu pengembang untuk merancang dan menggembangkan situs web e-commerce yang kualitas dengan tingkat accurasy 0,684%.
Co-Authors Agus Zainal Arifin Aminul Wahib Chastine Fatichah Lukman Hakim Lukman Hakim Siti Rochimah