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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Public Health Science (IJPHS) Jurnal Ilmu Komputer dan Informasi Berkala Ilmiah Pendidikan Biologi (BioEdu) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) International Journal of Advances in Intelligent Informatics Jurnal Kimia dan Kemasan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JPM (Jurnal Pemberdayaan Masyarakat) Communications in Science and Technology JPF : JURNAL PENDIDIKAN FISIKA Jurnal Ilmu Fisika Jurnal Informatika Global Jurnal Abdimas Mandiri Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Indonesian Journal of Electrical Engineering and Computer Science Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Reswara: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) Malcom: Indonesian Journal of Machine Learning and Computer Science Prosiding Seminar Nasional Official Statistics Hexatech: Jurnal Ilmiah Teknik Jurnal Indonesia Sosial Teknologi Eduvest - Journal of Universal Studies Molekul: Jurnal Ilmiah Kimia Al-Ashri: Ilmu-Ilmu Keislaman AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal
Evi Yulianti
Pusat Teknologi Bahan Industri Nuklit-BATAN Kawasan PUSPIPTEK Serpong, Tangerang 15314, Indonesia
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Query keyword extraction in discriminative marginalized probabilistic neural method for multi-document summarization Subeno, Bambang; Budi, Indra; Yulianti, Evi
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 2: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i2.pp907-915

Abstract

The large number of textual documents in the medical field makes it very difficult for readers to obtain comprehensive information. Users usually use a query approach to get the desired information. Using the correct query will produce relevant information. In the existing discriminative marginalized probabilistic neural method, referred to as DAMEN, used for multi-document summarization, a background sentence query is used to retrieve the top-K relevant documents and then generate a summary of these documents. However, the background sentence query used to retrieve the top-K documents did not provide accurate summary results. The author improved the DAMEN model by adding a keyword extraction process to the query background sentence. We call this model Q-DAMEN. Our model shows significant improvement over the original DAMEN method, with the best results achieved by the variation of using a keyword query entered into the discriminator component and a background sentence query entered into the generator component. The multipartieRank keyword extraction method shows the best results with a Rouge-1 value of 29.12, Rouge-2 of 0.79, and Rouge-L of 15.53. The results demonstrate that the more accurate the keywords extracted from the sentence background query, the more accurate the multi-document summaries generated.
Peningkatan Kompetensi Guru SMK Melalui Workshop Penyusunan Perangkat Evaluasi Pembelajaran dengan Dukungan Artificial Faradillah, Faradillah; Fadhiel Alie, Muhammad; Yulianti, Evi
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 7, No 1 (2026)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v7i1.7815

Abstract

Transformasi digital dalam dunia pendidikan menuntut guru untuk mampu beradaptasi dengan pemanfaatan teknologi, khususnya dalam proses asesmen pembelajaran. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi guru Sekolah Menengah Kejuruan (SMK) dalam menyusun perangkat evaluasi pembelajaran berbasis Artificial Intelligence (AI). Kegiatan dilaksanakan pada bulan September 2025 di SMK PGRI 2 Palembang melalui workshop yang melibatkan 25 guru dari berbagai jurusan. Metode pelaksanaan meliputi ceramah interaktif, demonstrasi penggunaan platform AI (ChatGPT, Quizizz AI, dan Google Form AI Grading), serta praktik langsung penyusunan soal, rubrik penilaian, dan integrasi asesmen ke dalam sistem pembelajaran digital. Evaluasi kegiatan dilakukan menggunakan pre-test dan post-test untuk mengukur peningkatan pengetahuan, wawasan, kemampuan, dan keterampilan peserta, serta survei kepuasan peserta. Hasil menunjukkan peningkatan signifikan pada seluruh aspek kompetensi. Aspek pengetahuan meningkat dari skor rata-rata 2,8 menjadi 4,6 (64,3%), wawasan dari 2,9 menjadi 4,5 (55,2%), kemampuan dari 2,7 menjadi 4,4 (62,9%), dan keterampilan mengalami peningkatan tertinggi dari 2,5 menjadi 4,7 (88,0%). Secara keseluruhan, rata-rata skor peserta meningkat dari 2,7 pada pre-test menjadi 4,6 pada post-test dengan persentase peningkatan sebesar 67,3%. Selain itu, tingkat kepuasan peserta terhadap pelaksanaan kegiatan berada pada kategori sangat baik. Temuan ini menunjukkan bahwa penerapan AI dalam evaluasi pembelajaran efektif dalam meningkatkan profesionalisme guru dan kualitas asesmen berbasis teknologi. Ke depan, kegiatan direkomendasikan untuk dilanjutkan melalui pendampingan berkelanjutan agar implementasi AI di sekolah dapat berjalan optimal dan konsisten
Co-Authors Abdul Haris Abdurrohman, Jafar Abro, Fikri Adriana, Risda Agung Bambang Setio Utomo Agus Sugandha Ahmad Dahlan Alfina, Ika Alie, M. Fadhiel Aminuddin, Jamrud Anandez, Arum Adisha Putra Annas, Dicky Atmoko, Indri Aulia, Muti’a Rahma A’yun, Nidha Aulia Qurrata Bambang Subeno Berghuis, Nila Tanyela Bhary, Naradhipa Bilalodin Bilalodin Budi, Indra Busral, Busral Coyanda, John Roni Cyndika Dana Indra Sensuse Dari, Qorinah Wulan Dhamayanti, Dhamayanti Djoko Hananto Dwitilas, Fariz Wahyuzan Eka Qadri Nuranti Enrique, Gabriel Fadhiel Alie, Muhammad Faradillah Faradillah, Faradillah Fatari, Fatari Febrianto, Muhamad Rizki Fridarima, Shanny Geni, Lenggo Gupron, Akhmad Haryadi, Arifin Nur Muhammad Hasnawati Hasnawati Hayati, Atika Trisna Heri Jodi, Heri Humairoh, Nayu Nur Husin, Husna Sarirah Imelda Saluza, Imelda Indah Permatasari Iskandar Zulkarnaen Jayawarsa, A.A. Ketut Kartika Sari Khusaenah, Nur Kurniawan, Alfin Lastri Widya Astuti, Lastri Widya Laugiwa, Matiin Lukman Hakim Madiabu, Muhammad Jihad Mannix, Ilma Alpha Marcelina, Dona Martawijaya, M. Agus Meganingrum Arista Jiwanggi Ndruru, Sun Theo Constan Lotebulo Nissa, Nuzulul Khairu Nua, Muh. Tri Prasetia Pisgamargareta, Abel Praktino, Budi Prasetyo, Ridho Pratama, Mochamad Jodi Pratiwi, Indah Putri Putri Rizqiyah Putri, Indah Pratiwi Rabiyatul Adawiyah Siregar Rachmadhanti, Elvira Nur Rachmawati, Nur Rama Samudra, M.S Ramadhan, Mustafa Ridho, Muhammad Yusuf Rohmad Salam, Rohmad Rosiana Dwi Saputri, Rosiana Dwi Sampora, Yulianti Saputra, Muklas Ade Sofyan, Muhammad Ihsan Sudaryanto Sulkiah Hendrawati Sumarsih, Rani Sri Sunardi Sunardi Suryati Syazali, Muhammad Rizki Terttiaavini Terttiavini, Terttiavini Zulham Zulham