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Journal : The Indonesian Journal of Computer Science

Implementasi Sistem Informasi Bimbingan Konseling Pelanggaran Siswa Dengan Sistem Point Wahyu Setiawan; Septiano Anggun Pratama; Wirdayanti; Yuri Yudhaswana Joefrie
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3958

Abstract

Computer technology is currently advancing rapidly. Almost every sector of work relies on computer technology for data processing, including in the field of education, particularly in counseling services. Based on monitoring and direct interactions with teaching staff at SMK Negeri 3 Palu, it is revealed that there is currently no system available that can manage student violation incident data optimally. Instead, the process still relies on manual recording, where teachers record student violations and then submit them to the Counseling Unit (BK). Manual information management is vulnerable to the risk of data loss and information overlap. To address this situation, this research intends to develop a Web-Based Student Violation Counseling Information System with a Point System at SMK Negeri 3 Palu, focusing on improving efficiency and transparency in the point allocation process. In this study, the approach applied is the Waterfall model. With the adoption of this system, the identification of the most frequently occurring student violations becomes more detailed.
Artikel Analisis Sentimen terhadap Resolusi Genjatan Senjata PBB 2023: Studi pada 10 Negara Penolak Resolusi Konflik Israel-Palestina Qofifa, Sitti Nurlaili; Ardiansyah, Rizka; Joefrie, Yuri Yudhaswana; Wirdayanti; Lapatta, Nouval Trezandy
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4405

Abstract

The Israeli-Palestinian conflict is the longest conflict that still has not found a bright spot. In December 2023 the UN again gave the latest resolution with the title “Armistice” this resolution received pros and cons from UN member states. The number of pro countries is 150 countries, contra as many as 10 countries and 23 countries abstain. This study aims to investigate whether the 10 countries that voted against the UN resolution represent the interests of their people or only represent the interests of their country. This research approach uses sentiment analysis on platform X with the Support Vector Machine method. Data was taken from March 2024 to the latest data, 137,447 data were obtained with 5 countries using non-English languages and 4 countries using English. Each data from these countries was successfully classified into positive and negative classes. The survey was conducted on 9 countries with an average positive sentiment of 34.82% and an average negative sentiment of 77.41%. The results of this research show that the decisions made by the 10 countries that rejected the resolution represent the voice of their people.