Rancang Bangun Aplikasi Diskusi Mahasiswa Sebagai Sarana Kolaborasi Di Universitas Katolik Santo Thomas
DOI:
https://doi.org/10.54367/kakifikom.v7i1.5246Keywords:
Diskusi, Konten Negatif, Google Vision API, Perspective API, Gemini AIAbstract
Catholic University of Santo Thomas is committed to providing high-quality education by emphasizing moral and ethical values, as well as students' academic abilities. In the era of rapid information and communication technology, the need for an effective means of collaboration is increasingly urgent, especially to address the issue of spreading gossip and bad information on campus. Gossip and negative news can damage a university's reputation, cause conflict, and disrupt the learning process. To overcome this, a solution is needed that can facilitate productive discussions and maintain content security in the campus environment. This research aims to develop a web-based student discussion application that prioritizes security and convenience. This application is designed for collaboration with discussions that are free from negative content with technologies such as Google Vision API and Perspective API, and supports collaboration through advanced features such as Gemini AI to find automatic conclusions.References
M. A. R. Sikumbang, R. Habibi, dan S. F. Pane, “Sistem Informasi Absensi Pegawai Menggunakan Metode RAD dan Metode LBS Pada Koordinat Absensi,” J. MEDIA Inform. BUDIDARMA, vol. 4, no. 1, 2020, doi: 10.30865/mib.v4i1.1445.
T. Tasyabila, V. Sihombing, dan F. A. Nasution, “Implementation of the RAD Method to Build Catering Application Android-based,” Sinkron, vol. 7, no. 2, 2022, doi: 10.33395/sinkron.v7i2.11421.
H. Rianto dan O. Pahlevi, “Pengembangan Billing Online Sistem dengan Menggunakan Metode Rapid Application Development,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 6, 2022, doi: 10.30865/jurikom.v9i6.5213.
Melati, E. Junirianto, dan I. M. Khamidah, “Development Rime Syar’i Business & Administration Management System with Rapid Application Development Method,” TEPIAN, vol. 3, no. 1, 2022, doi: 10.51967/tepian.v3i1.715.
Neneng Awaliah, Akbar Hendra, Amran Amiruddin, D. Daud, dan Akbar Iskandar, “Web-Based Rapid Application Development (RAD) for Marketing of Ende Lio Traditional Bond Motif Woven Fabric,” Ceddi J. Inf. Syst. Technol., vol. 2, no. 1, 2023, doi: 10.56134/jst.v2i1.36.
I. Smirnov, C. Oprea, dan M. Strohmaier, “Toxic comments are associated with reduced activity of volunteer editors on Wikipedia,” PNAS Nexus, vol. 2, no. 12, 2023, doi: 10.1093/pnasnexus/pgad385.
S. K. Gargee, P. B. Gopinath, S. R. S. R. Kancharla, C. R. Anand, dan A. S. Babu, “Analyzing and Addressing the Difference in Toxicity Prediction Between Different Comments with Same Semantic Meaning in Google’s Perspective API,” in Lecture Notes in Networks and Systems, 2023. doi: 10.1007/978-981-19-5221-0_45.
B. Rieder dan Y. Skop, “The fabrics of machine moderation: Studying the technical, normative, and organizational structure of Perspective API,” Big Data Soc., vol. 8, no. 2, 2021, doi: 10.1177/20539517211046181.
A. Lees et al., “A New Generation of Perspective API: Efficient Multilingual Character-level Transformers,” in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022. doi: 10.1145/3534678.3539147.
J. Valentino dan Y. A. Susetyo, “Analisis Perbandingan Optical Character Recognition Google Vision dengan Microsoft Computer Vision pada Pembacaan KTP-el,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 7, no. 4, 2023, doi: 10.35870/jtik.v7i4.1046.
K. Thammarak, P. Kongkla, Y. Sirisathitkul, dan S. Intakosum, “Comparative analysis of Tesseract and Google Cloud Vision for Thai vehicle registration certificate,” Int. J. Electr. Comput. Eng., vol. 12, no. 2, 2022, doi: 10.11591/ijece.v12i2.pp1849-1858.
R. G. Guntara, “Aplikasi Pengenalan Citra Wajah di KTP Menggunakan Google Cloud Vision API dan Kairos API Berbasis Android,” Ilk. J. Comput. Sci. Appl. Informatics, vol. 4, no. 2, 2022, doi: 10.28926/ilkomnika.v4i2.504.
N. Rane, S. Choudhary, dan J. Rane, “Gemini or ChatGPT? Efficiency, Performance, and Adaptability of Cutting-Edge Generative Artificial Intelligence (AI) in Finance and Accounting,” SSRN Electron. J., 2024, doi: 10.2139/ssrn.4731283.
S. Pichai dan D. Hassabis, “Introducing Gemini: our largest and most capable AI model,” Google, 2023.
H. R. Saeidnia, “Welcome to the Gemini era: Google DeepMind and the information industry,” Libr. Hi Tech News, 2023, doi: 10.1108/LHTN-12-2023-0214.
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