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Putu Praba Santika

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Semantic Clustering Dan Pemilihan Kalimat Representatif Untuk Peringkasan Multi Dokumen ., Pasnur; Santika, Putu Praba; Syaifuddin, Gus Nanang
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 1, No 2 (2014)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1003.083 KB)

Abstrak Coverage dan saliency merupakan masalah utama dalam peringkasan multi dokumen. Hasil ringkasan yang baik harus mampu mampu mencakup (coverage) sebanyak mungkin konsep penting (salient) yang ada pada dokumen sumber. Penelitian ini bertujuan untuk mengembangkan metode baru peringkasan multi dokumen dengan teknik semantic clustering dan pemilihan kalimat representatif cluster. Metode yang diusulkan berdasarkan prinsip kerja Latent Semantic Indexing (LSI) dan Similarity Based Histogram Clustering (SHC) untuk pembentukan cluster kalimat secara semantik, serta mengkombinasikan fitur Sentence Information Density (SID) dan Sentence Cluster Keyword (SCK) untuk pemilihan kalimat representatif cluster. Pengujian dilakukan pada dataset Document Understanding Conference (DUC) 2004 Task 2 dan hasilnya diukur menggunakan Recall-Oriented Understudy for Gisting Evaluation (ROUGE). Hasil pengujian menunjukkan bahwa metode yang diusulkan mampu mencapai nilai ROUGE-1 rata-rata sebesar 0,395 dan nilai ROUGE-2 rata-rata sebesar 0,106. Kata kunci: peringkasan multi dokumen, latent semantic indexing, similarity based histogram clustering, sentence information density, sentence cluster keyword Abstract Coverage and saliency is a major problem in multi-document summarization. The good summary should be able to cover (coverage) as much as possible the important concepts (salient) that exist in the source document. This research aims to develop a new method for multiple document summarization with semantic clustering techniques and the selection of representative clusters sentence. The proposed method is based on the principles of Latent Semantic Indexing (LSI) and Similarity Based Histogram Clustering (SHC) for clustering sentences semantically, and combine features of Sentence Information Density (SID) and Sentence Cluster Keyword (SCK) for selecting a representative sentence cluster. Tests are performed on Document Understanding Conference (DUC) 2004 Task 2 dataset and the results are measured using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE). The results show that the proposed method is able to achieve ROUGE-1 value by an average of 0.395 and the ROUGE-2 value by an average of 0.106. Keywords: multiple document summarization, latent semantic indexing, similarity based histogram clustering, sentence information density, sentence cluster keyword

Semantic Clustering Dan Pemilihan Kalimat Representatif Untuk Peringkasan Multi Dokumen ., Pasnur; Santika, Putu Praba; Syaifuddin, Gus Nanang
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 1 No 2: Oktober 2014
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Abstrak Coverage dan saliency merupakan masalah utama dalam peringkasan multi dokumen. Hasil ringkasan yang baik harus mampu mampu mencakup (coverage) sebanyak mungkin konsep penting (salient) yang ada pada dokumen sumber. Penelitian ini bertujuan untuk mengembangkan metode baru peringkasan multi dokumen dengan teknik semantic clustering dan pemilihan kalimat representatif cluster. Metode yang diusulkan berdasarkan prinsip kerja Latent Semantic Indexing (LSI) dan Similarity Based Histogram Clustering (SHC) untuk pembentukan cluster kalimat secara semantik, serta mengkombinasikan fitur Sentence Information Density (SID) dan Sentence Cluster Keyword (SCK) untuk pemilihan kalimat representatif cluster. Pengujian dilakukan pada dataset Document Understanding Conference (DUC) 2004 Task 2 dan hasilnya diukur menggunakan Recall-Oriented Understudy for Gisting Evaluation (ROUGE). Hasil pengujian menunjukkan bahwa metode yang diusulkan mampu mencapai nilai ROUGE-1 rata-rata sebesar 0,395 dan nilai ROUGE-2 rata-rata sebesar 0,106. Kata kunci: peringkasan multi dokumen, latent semantic indexing, similarity based histogram clustering, sentence information density, sentence cluster keyword Abstract Coverage and saliency is a major problem in multi-document summarization. The good summary should be able to cover (coverage) as much as possible the important concepts (salient) that exist in the source document. This research aims to develop a new method for multiple document summarization with semantic clustering techniques and the selection of representative clusters sentence. The proposed method is based on the principles of Latent Semantic Indexing (LSI) and Similarity Based Histogram Clustering (SHC) for clustering sentences semantically, and combine features of Sentence Information Density (SID) and Sentence Cluster Keyword (SCK) for selecting a representative sentence cluster. Tests are performed on Document Understanding Conference (DUC) 2004 Task 2 dataset and the results are measured using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE). The results show that the proposed method is able to achieve ROUGE-1 value by an average of 0.395 and the ROUGE-2 value by an average of 0.106. Keywords: multiple document summarization, latent semantic indexing, similarity based histogram clustering, sentence information density, sentence cluster keyword

Analisis dan Evaluasi Pengalaman Pengguna PaTik Bali dengan Metode User Experience Questionnaire (UEQ) Wijaya, I Nyoman Saputra Wahyu; Santika, Putu Praba; Iswara, Ida Bagus Ary Indra; Arsana, I Nyoman Alit
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 2: April 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020762763

PaTik Bali merupakan aplikasi keyboard virtual berbasis mobile. Keyboard PaTik berfungsi menulis aksara Bali. PaTik memiliki fitur autocorrection sesuai dengan pasang pageh aksara bali. Pada google playstore, jumlah perangkat terinstall lebih dari 89.000 perangkat mobile. Dalam penelitian ini ingin diketahui tingkat kenyamanan pengguna dari segi User Experience. Maka dalam penelitian ini dilakukan evaluasi pengalaman pengguna PaTik Bali. Evaluasi dilakukan dengan metode User Experience Questionnaire (UEQ). Kelengkapan aspek, yaitu attractiveness, pragmatic quality dan hedonic quality menjadi keunggulan User Experience Questionnaire (UEQ). Selain itu, sudah disedikan Data Analysist Tool dalam format excel untuk memudahkan pengukuran User Experience Questionnaire (UEQ). Evaluasi dilakukan pada suatu populasi yang berjumlah 34 data. Evaluasi User Experience Questionnaire (UEQ) memiliki penilaian yang baik. Daya tarik memiliki nilai rata-rata 1.8, kejelasan memiliki nilai 1.7, Efisiensi memiliki nilai 1.6, Ketepatan memiliki nilai 1.7, Stimulasi memiliki nilai 2, dan Kebaruan memiliki nilai 1.3. Hasil analisa untuk kualitas pragmatic dan hedonis pun memiliki penilaian yang baik masing-masing memiliki nilai rata-rata 1.72 dan 1.73. Dan analisa benchmark juga memberikan nilai 1.73 yang dikatakan baik. Analisa dengan menggunakan UEQ menunjukkan user experience dari pengguna PaTik Bali dapat dikatakan baik dengan nilai rata-rata diatas 1. AbstractPaTik Bali is a mobile-based virtual keyboard application. PaTik keyboard functions to write Balinese script. PaTik has an autocorrection feature in accordance with the Balinese script. On the Google Play Store, the number of devices installed is more than 89,000 mobile. In this study, we want to know the level of user comfort in terms of User Experience. So in this study an evaluation of the experience of PaTik Bali users was conducted. The evaluation was carried out using the User Experience Questionnaire (UEQ) method. Completeness of aspects, namely attractiveness, pragmatic quality and hedonic quality are the advantages of User Experience Questionnaire (UEQ). In addition, Data Analysis Tool has been provided in Excel format to facilitate the measurement of User Experience Questionnaire (UEQ). The evaluation was carried out on a population of 34 data. The User Experience Questionnaire (UEQ) evaluation has a good rating. Attraction has an average value of 1.8, clarity has a value of 1.7, Efficiency has a value of 1.6, Accuracy has a value of 1.7, Stimulation has a value of 2, and Novelty has a value of 1.3. The analysis results for pragmatic and hedonic quality also have good ratings, each having an average value of 1.72 and 1.73. And benchmark analysis also gives a value of 1.73 which is said to be good. Analysis using UEQ shows that the user experience of PaTik Bali users can be said to be good with an average value above 1.

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