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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal CoreIT INOVTEK Polbeng - Seri Informatika Building of Informatics, Technology and Science JTIM : Jurnal Teknologi Informasi dan Multimedia JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Information System Journal (INFOS) Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Information Technology (BIT) Malcom: Indonesian Journal of Machine Learning and Computer Science Indonesian Journal of Innovation Multidisipliner Research Scientific Journal of Informatics INOVTEK Polbeng - Seri Informatika
Fitri Insani
Bogor Agricultural University
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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

 1 
Perancangan VUI Pada Aplikasi Layanan Berita Kompas ID dengan Metode Human Centered Tri Prastio Nugroho; Mai Candra, Reski; Insani, Fitri; Iskandar, Iwan; Affandes, Muhammad
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6864

Abstract

Digital news has become an important breakthrough in current information development, replacing printed newspapers which are increasingly less popular in Indonesia. However, the majority of digital news readers, especially on Kompas.id, are elderly, who may face difficulties in using modern technology. This raises the question of whether sophisticated digital news products are enough to address issues of accessibility and convenience for seniors. This research aims to present innovative solutions by utilizing technology Voice User Interface (VUI) to help elderly and young digital news users. MethodHuman-Centered Design (HCD) was used in this study. Result ofUsability Testing (UT) on the prototype shows that users gave a positive assessment with a total score of 91.3, a high level of satisfaction. This became the basis for continuing development of this prototype.
Analisa sentimen terhadap kenaikan bbm di twitter (x) menggunakan naive bayes classifier Muhammad Abdillah; Fikry, Muhammad; Yusra; Nazir, Alwis; Insani, Fitri
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6954

Abstract

In early September 2022, there was a shock from the news of the rise in fuel prices. The government decided to increase the price of fuel due to the surge in world oil prices. PT Pertamina (Persero) officially raised the price of Fuel Oil (BBM) one-third of September 2022, at 2:30 PM WIB (Western Indonesia Time). Since the decision, it has sparked opinions from the public. Many people expressed their responses through the social media platform Twitter, both in positive and negative ways. This resulted in both positive and negative sentiments from the public. The data used consisted of 3,000 tweets with the keyword "FUEL PRICE INCREASE," collected from November 1, 2022, to December 1, 2022. This research utilized the Naive Bayes Classifier method, conducted with three comparisons using thresholds ranging from 0.001 to 0.007. The experiment was conducted with three types of data testing: opinion data, mixed data (opinion-non-opinion), and balanced data. Here are the test results: for opinion data, the highest accuracy obtained was 80% with a ratio of 90:10, for mixed data, the accuracy obtained was 67.7% with a ratio of 70:30, and for balanced data, the accuracy obtained was 63.6% with a ratio of 90:10.
Co-Authors ., Pizaini Abdul Aziz Afriyanti, Liza Agustian, Surya Ahmad Fauzan Al Fiqri, M. Faiz Ananda, Rahmadan Alam Ardan Aqilah, M Alfandri Damayanti, Elok Darlianti, Sri Indah Elin Haerani Elvia Budianita Fadhilah Syafria Fahrozi, Aqshol Al Fakhira, Adzra Febi Yanto, Febi Fitria Novitasari Hasibuan, Aldiansyah Pramudia Herwanza, Niken Aisyah Maharani Iis Afrianty Iwan Iskandar Jasril Jasril Jasril Jasril Kurnia Rahman, Fikri kurnia, fitra Lestari Handayani Mai Candra, Reski Miftah Farid Muhammad Abdillah Muhammad Affandes, Muhammad Muhammad Fikry Muhammad Irsyad Muhammad Ravil Mulyadi, Syahrul Najmi, Risna Lailatun Nazir, Alwis Nazruddin Safaat H Nova Yohana Novi Yanti Okfalisa Okfalisa Oktavia, Lola Rahmad Abdillah Ruri Hartika Zain Saputra, Nugroho Wahyu Setiawan, Adil Subhi, Yazid Abdullah Suwanto Sanjaya Tri Prastio Nugroho Utari, Roid Fitrah Vernando, Julio Vitriani, Yelfi Yusra Zahri, Firman