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All Journal Jurnal Computech & Bisnis (e-Journal) Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Innovation in Research of Informatics (INNOVATICS) International Journal of Quantitative Research and Modeling Jurnal Pengabdian Masyarakat Tapis Berseri SisInfo : Jurnal Sistem Informasi dan Informatika Nuansa Informatika Jurnal Bhakti Karya dan Inovatif Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) International Journal of Science and Mathematics Education International Journal of Computer Technology and Science
Setiana, Elia
Universitas Informatika Dan Bisnis Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Mathematics Physics Social Sciences Other

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Journal : Nuansa Informatika

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ANALISIS SENTIMEN PELAKSANAAN KULIAH ONLINE MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Setiana, Elia; Marwondo; Venia Retreva Danestiara; Wiyanudin
NUANSA INFORMATIKA Vol. 17 No. 2 (2023): Volume 17 No 2 Tahun 2023
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v17i2.11

Abstract

This writing aims to assess the satisfaction of students regarding the implementation of online lectures, categorized into three classes: positive, neutral, and negative. Data collection was conducted using Twint from the social media platform Twitter, with a total of 25,000 tweets. The data processing process to determine sentiment analysis utilized the support vector machine algorithm. With this algorithm, the obtained results show an accuracy rate of 76.86% for positive sentiment. The precision is 0.49, recall is 0.53, and the F1 score is 0.51
P Pengujian Perangkat Lunak Metode Black Box Pada Aplikasi Sistem Pakar Pola Latihan dan Asupan Makanan Setiana, Elia; Ramadhan, Muhammad Rizki; Budiman; R. Yadi Rakhman A4
NUANSA INFORMATIKA Vol. 18 No. 1 (2024): Nuansa Informatika 18.1 Januari 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i1.67

Abstract

Software testing is an important part of expert system application development. This software testing aims to ensure optimal performance and functionality of this application, where the application must be able to run according to a previously created design and application testing must ensure that the program is free from errors. The testing methodology includes a series of steps designed to identify potential bugs, ensure proper integration between components, and verify that the application meets functional and non-functional requirements. Testing is carried out using various functional testing scenarios. Test results show that this application is able to provide accurate and relevant solutions in the context of exercise patterns to achieve the desired body goals. Additionally, application performance is tested to ensure fast response and good user experience, even under high load conditions. The findings from this test provide confidence that the "Exercise Pattern and Food Intake Expert System" is ready for use by end users.
Co-Authors Acep Hendra Aggi Panigoro Sarifiyono Akbar, Imannudin Budiman Budiman Budiman Budiman Budiman Chairul Habibi Danestiara, Venia R Dirham Triyadi Dirham Triyadi Graha Prakarsa Hamzah, Encep Ikhsan Nur, Muhammad Kaunang, Valencia Claudia Jennifer M. Rizki Ramadhan Marwondo Muliasari, Lina Nur Alamsyah NUR ALAMSYAH R. Yadi Rakhman A R. Yadi Rakhman A4 R. Yadi Rakhman Alamsyah Ramadhan, Muhammad Rizki Reni Nursyanti Reni Nursyanti Reni Nursyanti Rijwan Rijwan S.W. Manurip, Atanasius Angga Sardjono Sardjono Syahira Putri Himmaniah Taufik Hidayah Teofilus Hendrawan, Yesaya Titan Parama Yoga Valencia Claudia Jennifer Valencia Claudia Jennifer Kaunang Valencia Claudia Jennifer Kaunang Venia Restreva Danestiara Wiyanudin