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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Dinamisia: Jurnal Pengabdian Kepada Masyarakat ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Mnemonic Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang LibTech : Library and Information Science Journal
Wahyu Hariyanto
Department Of Library And Information Science, Faculty Of Science And Technology, Universitas Islam Negeri Maulana Malik Ibrahim Malang
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Library & Information Science Social Sciences Other

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Sentiment Analysis of Perpustakaan Nasional Republik Indonesia Through Social Media Twitter Mahfud, Fakhris Khusnu Reza; Mudawamah, Nita Siti; Hariyanto, Wahyu
MATICS Vol 12, No 1 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.659 KB) | DOI: 10.18860/mat.v12i1.8973

Abstract

The library is a gate of science and a heart of civilization. Indonesia already has a Perpustakaan Nasional consisted of 27 floors and is equipped with facilities that are adequate for user needs. Apart from that, we need to see opinions from the community as users. Public opinion about the library is critical for library managers to evaluate services and facilities from the library. One way to find out the views of the community is by using social media twitter. Twitter social media is often used in channelling opinions or expressing opinions about specific topics; besides social media, twitter is commonly used for digital campaign movements. Submission of views and even digital campaigns on Twitter social media greatly influence the opinions and even behaviour of society in various ways. This study analyzes tweets about national libraries by classifying, positive opinions, negative opinions and neutral opinions. In this study, twitter data will go through the preprocessing, weighting, and classification stages. TF-IDF and TF binary are used in weighting in this study. The classification used in this study is Naive Bayes and KNN. Accuracy, precision, and recall values were also used in this study to evaluate classification performance. The highest classification performance using KNN classification with TF-IDF weighting resulted in the value of accuracy, precision, and recall of 83.33%, 79.2%, and 83.3% respectively.
Exploring the User Experience of E-Thesis System: An Evaluation Using UX Honeycomb Method wahyu hariyanto
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 14, No 2 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i2.20991

Abstract

This research article discusses the evaluation of the e-thesis information system in the Library and Information Science program at UIN Maulana Malik Ibrahim Malang. The background of this research is that the system is relatively new and is supported by several preliminary surveys conducted among users, most of whom are unfamiliar with the use of this e-thesis application system. The research population was taken from all students of the Library and Information Science Department in the 2018 and 2019 academic years, with a research sample of 50 students. The honeycomb method was used as the analysis tool for the evaluation, which emphasizes how UX can go beyond just usability aspects for users. The assessment aspects in the honeycomb method include useful, usable, desirable, findable, accessible, credible, and valuable. The research results showed that the overall average value of the e-thesis information system was 4.10, indicating that the e-thesis system is considered good in terms of its use. The highest score of 4.23 was found in the useful aspect, indicating that students agreed that the e-thesis information system could solve user problems and meet their needs. The lowest score of 3.93 was found in the accessible aspect, which needs improvement for future development of the information system. Indicators that need attention for improvement include less appealing design and the need to enhance capabilities. Suggested improvements include visual design, an advance search button, display of two thesis advisors, UI refresh, minimizing errors, and detailed schedule display on the homepage. Improving the existing features according to the research conducted can have a wide impact on the use of the information system and can be used continuously without errors.
Co-Authors Annora Ghifary Ghifary Bahtiar, Firma Sahrul Fakhris Khusnu Reza Mahfud Fatchurrohman Fatchurrohman Firman Jati Pamungkas Ganis Chandra Puspitadewi Johan Ericka Wahyu Prakasa Muhamad Abdul Muid Muid, Muhamad Abdul Nita Siti Mudawamah Nizam, Ach. Nizam Rifqi Shoffin Nahwa Utama Shoffin Nahwa Utama