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All Journal JURNAL SISTEM INFORMASI BISNIS CESS (Journal of Computer Engineering, System and Science) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal Indonesian Journal of Artificial Intelligence and Data Mining IJIS - Indonesian Journal On Information System Jurnal Teknik Informatika UNIKA Santo Thomas JurTI (JURNAL TEKNOLOGI INFORMASI) Jiko (Jurnal Informatika dan komputer) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Teknologi Sistem Informasi dan Aplikasi IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Dedikasi Pendidikan EDUMATIC: Jurnal Pendidikan Informatika METIK JURNAL Jurnal Mantik Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Sains dan Teknologi Zonasi: Jurnal Sistem Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jatilima : Jurnal Multimedia Dan Teknologi Informasi G-Tech : Jurnal Teknologi Terapan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat SENTRI: Jurnal Riset Ilmiah Malcom: Indonesian Journal of Machine Learning and Computer Science International Journal of Science and Environment SmartComp VISA: Journal of Vision and Ideas Da'watuna: Journal of Communication and Islamic Broadcasting Future Academia : The Journal of Multidisciplinary Research on Scientific and Advanced The Indonesian Journal of Computer Science
Rakhmat Kurniawan R
UIN Sumatera Utara Medan
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Journal : Progresif: Jurnal Ilmiah Komputer

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Analisis Sentimen Mengenai Penerimaan Calon Pegawai Negeri Sipil Tahun 2024 Menggunakan Support Vector Machine Khairunissabina, Khairunissabina; Kurniawan, Rakhmat
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1: Februari 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2583

Abstract

The 2024 Civil Servants Candidates (CPNS) recruitment has attracted public attention with various opinions reflecting societal sentiment. This study applies machine learning and text mining techniques to analyze sentiment based on comments collected from various sources. The process begins with text preprocessing, including tokenization, stopword removal, and text transformation using TF-IDF. The Support Vector Machine (SVM) model is used to classify sentiment into positive and negative categories. The data is divided into training and testing sets to evaluate the model's performance. Experimental results show that the model achieves an accuracy of 82.5%, indicating a fairly good performance in recognizing public opinion patterns. This analysis provides insights into aspects that are appreciated or criticized by the public regarding the 2024 CPNS recruitment. These findings can be utilized by policymakers to develop more responsive strategies that address public needs and expectations in the CPNS selection process.Keyword: Machine Learning; Text Mining; Civil Servants Candidates; Support Vector Machine AbstrakPenerimaan Calon Pegawai Negeri Sipil (CPNS) 2024 menarik perhatian publik dengan berbagai opini yang mencerminkan sentimen masyarakat. Penelitian ini menerapkan machine learning dan teknik text mining untuk menganalisis sentimen berdasarkan komentar yang dikumpulkan dari berbagai sumber. Proses dimulai dengan pra-pemrosesan teks, termasuk tokenisasi, penghapusan stopwords, serta transformasi teks menggunakan TF-IDF. Model Support Vector Machine (SVM) digunakan untuk mengklasifikasikan sentimen menjadi positif dan negatif. Data dibagi menjadi data pelatihan dan pengujian dengan perbandingan 80% data training dan 20% data uji guna mengevaluasi kinerja model. Hasil eksperimen menunjukkan bahwa model mencapai akurasi 82,5%, menandakan kinerja yang cukup baik dalam mengenali pola opini masyarakat. Analisis ini memberikan wawasan mengenai aspek yang diapresiasi maupun dikritik oleh publik terkait penerimaan CPNS 2024. Temuan ini dapat dimanfaatkan oleh pemangku kebijakan untuk merancang strategi yang lebih responsif terhadap kebutuhan dan harapan masyarakat dalam proses seleksi CPNS.Kata kunci: Machine Learning; Text Mining; Calon Pegawai Negeri Sipil; Support Vector Machine
Co-Authors Abdul Halim Hasugian Agung Firmansyah Agung Firmansyah Ahmad Fauza Anshori Tbn Ahmad Fauzi Ahmad Taufik Al Afkari Siahaan Aidil Halim Aidil Halim Lubis Aidil Halim Lubis Aidil Halim Lubis Alfan Ramadhan Alwy Azyari Harahap Amelia, Dara Andre Gusli Agus Riadi Armansyah Armansyah Armansyah Armansyah Armansyah Armansyah Asnawi, Azi Ayna Salsabillah Azhari, Fajar Bahari, Mhd Raja Doly Bayhaqi, Abdullah Bisri, Cholil Br Rambe, Indri Gusmita Catur Hidayatullah Dandi, Muhammad Khairil Dasopang, Buyung Satrio Dwisyahputra, Achmad Adbillah Eva Darwisah Harahap Fahrul Afandi Fakhriyah, Mardhiyah Fakhrizal, Fiqri Fatwa, Nursalimah Isnaina Fikri Aulia Habibie, Alief Fathul Haliem, Alexander Hanafi, Muhammad Rizky Harahap, Nita Maharani Harahap, Rina Syafiddini Harahap, Shopiah Henni Melisa HP, Kiki Iranda Hsb, Khoiri Sutan Ibsan, Muhammad Hanafi Ilham Rizki Ananda Ilka Zufria Imam Zaki Husein Nst Indah Meilina Ivan Prayuda Julianti, Miranda Jusli, Dara Taqa Assajidah Kesuma Dwi Ningtyas Khairin Nadia Khairunissabina, Khairunissabina Khoiriah, Miftahul Lubis, Fahrian Zibran Lubis, Farhan Rusdy Asyhary M. Teguh wijaya Mey Hendra Putra Sirait Mhd Furqan Mhd Furqan Mhd. Furqan Furqan Mhd.Furqan Muhammad Abi Muzaki Muhammad Fadiga Muhammad Fahri, Muhammad Muhammad Ikhsan Muhammad Siddik Hasibuan Muhammad Sunni Arrafiq Nasution, Fitri Handayani Nasution, Raihan Hafiz Noor Azizah Novita Jambak, Indah Nurjanah, Trya Nurwana Nazla Saragih Padang, Bermiko Kasah Pii Syahputra Prayoga, Dio Putri Hanifah Putri, Raissa Ramanda Qasthari, Mohd. Wildan Rafif Aprizki Saragih Rafli Bima Sakti Ramadhan, Rio Fadli Ramadhan, Rizky Syahrul Ratna Dewi, Sri Reza Muhammad Rifansyah, Mhd. Roji Rifqi Alwanu Akmal Rina Filia Sari Rini Halila Nasution Rizki Ananda Putra Fajar Rizky Pratama Putra Rudi Riyandi Sandira, Sri Delwis Saragih, Khoirul Azmi Sari, Desliana Silva Ukhti Filla Silvi Joya Arditna Br Bukit Sinaga, Imam Adlin Siti Afifah Siregar Siti Ayu Hadisa Siti Nurul Aini, Siti Nurul Siti Sarah Harahap Siti Sumita Harahap Sri Marwah Badrin Sriani Sriani Sriani Sriani Stephani Silalahi Suhardi Suhardi Suhardi Suhardi Suhardi Syahira, Melani Alka Syahputra, Zidhane Syarifudin, Zaini Triase Triase Triase Triase, Triase Wahyu Kurniawan Wini Istya Sari Lubis Yahya, Arfigo YENI SAFITRI Yudha, Muhammad Yudha Pratama Zahron, Almeranda Haryaveda Nurul