Narandha Arya Ranggianto
Institut Teknologi Sepuluh Nopember

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Pengukuran Usability pada Website Kampus Akademi Komunitas Negeri Pacitan Menggunakan System Usability Scale (SUS) Gramandha Wega Intyanto; Narandha Arya Ranggianto; Vika Octaviani
Walisongo Journal of Information Technology Vol 3, No 2 (2021): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2021.3.2.9549

Abstract

Pada dunia pendidikan website memiliki peran penting dalam memberikan informasi terkait dengan instansi pemilik website dan juga media promosi. Salah satu website pada lingkungan pendidikan yaitu website kampus Akademi Komunitas Negeri Pacitan. Pengunjung atau pengguna juga memiliki pengaruh besar terhadap website. Beberapa tinjauan tersebut yang mendorong kami dalam penganalisaan usability website kampus Akademi Komunitas Negeri Pacitan, yang mana pengukuran dan analisa menggunakan System Usability Scale (SUS) yang dilakukan uji validitas yang menyatakan valid dengan hasil Rhitung Rtabel pada item kuesioner dan uji Reliabilitas dengan hasil 0.637 yang menyatakan reliabel. Hasil Skor pada website kampus Akademi Komunitas Negeri Pacitan yaitu 60,75, dimana mendapat predikat D, kategori OK, tingkat penerimaan (feel) pengunjung yaitu margin low dan sudut pandang Net Promoter Score (NPS) berdasarkan skor SUS dinyatakan bahwa berpotensi detractor. Hasil ini menjabarkan bahwa dianggap belum efektif, efisien dan memuaskan bagi pengguna/pengunjung serta belum usable.
Abstractive and Extractive Approaches for Summarizing Multi-document Travel Reviews Narandha Arya Ranggianto; Diana Purwitasari; Chastine Fatichah; Rizka Wakhidatus Sholikah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5170

Abstract

Travel reviews offer insights into users' experiences at places they have visited, including hotels, restaurants, and tourist attractions. Reviews are a type of multidocument, where one place has several reviews from different users. Automatic summarization can help users get the main information in multi-document. Automatic summarization consists of abstractive and extractive approaches. The abstractive approach has the advantage of producing coherent and concise sentences, while the extractive approach has the advantage of producing an informative summary. However, there are weaknesses in the abstractive approach, which results in inaccurate and less information. On the other hand, the extractive approach produces longer sentences compared to the abstractive approach. Based on the characteristics of both approaches, we combine abstractive and extractive methods to produce a more concise and informative summary than can be achieved using either approach alone. To assess the effectiveness of abstractive and extractive, we use ROUGE based on lexical overlaps and BERTScore based on contextual embeddings which it be compared with a partial approach (abstractive only or extractive only). The experimental results demonstrate that the combination of abstractive and extractive approaches, namely BERT-EXT, leads to improved performance. The ROUGE-1 (unigram), ROUGE-2 (bigram), ROUGE-L (longest subsequence), and BERTScore values are 29.48%, 5.76%, 33.59%, and 54.38%, respectively. Combining abstractive and extractive approach yields higher performance than the partial approach.