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All Journal International Journal of Engineering, Science and Information Technology Jurnal Rekayasa Sistem Informasi dan Teknologi
Anggara, Aji
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Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Sentiment Analysis of the MK Decision Trial of the Result of the 2024 President and Vice President General Election on Social Media X Using the Support Vector Machine Method Anggara, Aji; Nurdin, Nurdin; Meiyanti, Rini
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.591

Abstract

Support Vector Machine (SVM) is a method of machine learning often used in classification and regression issues, especially in the classification of commentary reviews on social media such as Twitter. The Constitutional Court (MK) has the authority to resolve disputes resulting from the general election, including the 2024 presidential election. As an institution that maintains fairness and transparency in the democratic process, the Constitutional Court's decisions are often at the center of public attention and debate, especially on social media. In the 2024 general election, various allegations of fraud led to protests from several parties who felt aggrieved. The final and binding Constitutional Court's decision is expected to resolve the conflict that arises, but it often does not satisfy all parties, causing political and social tensions. This conflict can be reflected through public opinion expressed on social media, such as Twitter, where various responses and sentiments to the decision are essential analysis materials. This Research uses the Support Vector Machine (SVM) algorithm with a dataset of 1383 review comments divided by an 80:20 ratio for training and testing. The system was implemented using the Python programming language, with evaluations showing the highest accuracy at 61.00%, precision at 61.00%, and recall at 62.00%. This study aims to analyze public sentiment regarding the Constitutional Court's decision using the SVM method and identify the tendency of public opinion as positive, negative, or neutral. Through this study, it is expected that a deeper understanding of the public's perception of the Constitutional Court's decision is obtained. In addition, this Research is likely to contribute to developing sentiment analysis methods in the future and provide a basis for recommendations for the Constitutional Court in handling election result disputes better.
SISTEM INFORMASI PENGADUAN KERUSAKAN FASILITAS PADA KANTOR SKRETARIAT DAERAH KOTA (SETDAKO) LHOKSEUMAWE Anggara, Aji; Suwanda, Rizki
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 1 No. 2 (2023): November
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jrsit.v1i2.235

Abstract

Masalah yang dihadapi dalam proses pengaduan kerusakan fasilitas  di Kantor Sekretariat Daerah Kota (SETDAKO) Lhokseumawe adalah proses yang masih bersifat manual dalam pengaduan dan pendataannya, dimana pengguna (Pegawai dan Pihak Administrasi) harus mensurvey langsung dan mendata kerusakan yang masih manual sehingga mengakibatkan banyaknya pemborosan material dan resiko kehilangan data, sehingga tidak berjalan secara efektif dan efesien. Tujuan dari pemgembangan system yang akan dikembangkan adalah untuk mempermudah pengguna (Pegawai dan Pihak Administrasi) dalam proses perbaikan fasilitas dan mendata fasilitas yang rusak dan mencetak laporan fasilitas yang rusak perbulan jika dibutuhkan. Website ini di kembangkan menggunakan Bahasa pemograman PHP dan HTML, Framework, dan MySQL sebagai penyimpanan data. Solusi yang diterapkan dalam pengembangan aplikasi ini adalah dengan menggunakan metode perancangan Sistem UML (Unified Modeling Language). Pada proses ini, digunakan use case diagram untuk menjelaskan aktivitas yang dilakukan oleh pengguna, dan activity diagram untuk menjelaskan alur proses pengaduan kerusakan fasilitas dan pendataan fasilitas yang rusak. Hasil dari  pengembangan sistem ini yang dikembangkan adalah sebuah aplikasi yang disebut Aplikasi Pengaduan Kerusakan Fasilitas Berbasis Website di Kantor Sekretariat Daerah Kota (SETDAKO) Lhokseumawe. . Pada aplikasi ini pengguna dapat mengisi data fasilitas yang rusak dan dilaporkan langsung melalui web dan petugas / pegawai dapat mencetak pendaatan perbulan pada keruskan fasilitas kantor data secara terkomputerisasi sehingga menjadi lebih efektif dan efisien. Kata Kunci : Aplikasi, Pengaduan kerusakan Fasilitas, UML, PHP, MySQL, Framework
Co-Authors Nurdin Nurdin Rini Meiyanti Rizki Suwanda