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All Journal International Journal of Electrical and Computer Engineering Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Voteteknika (Vocational Teknik Elektronika dan Informatika) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence JTET (Jurnal Teknik Elektro Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal SOLMA Jurnal Telematika Jurnal Teknologi Terapan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Infotekmesin JISA (Jurnal Informatika dan Sains) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society Madaniya Jurnal Teknologi Informasi dan Komunikasi Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Pengabdian Teknologi Tepat Guna Jurnal Pengabdian Kepada Masyarakat (JPKM) Langit Biru Jurnal Nasional Teknik Elektro dan Teknologi Informasi JAMAIKA: Jurnal Abdi Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Journal of Applied Community Engagement (JACE) Pengabdian Jurnal Abdimas Hikmayo: Jurnal Pengabdian Masyarakat SmartComp Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT
Oman Somantri
Politeknik Negeri Cilacap
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Journal : Voteteknika (Vocational Teknik Elektronika dan Informatika)

 1 
Perbandingan Metode Pembobotan Teks dari Algoritma Winnowing dan TF-IDF dikombinasikan Algoritma Cosine Similarity Santi Purwaningrum; Oman Somantri; Nur Wachid Adi Prasetya
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 12, No 4 (2024): Vol. 12, No 4, Desember 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v12i4.130627

Abstract

Tugas akhir di perguruan tinggi adalah syarat kelulusan untuk mendapatkan gelar sarjana atau ahli madya. Tingginya keinginan mahasiswa untuk segera lulus terkadang membuat mahasiswa melakukan tindakan plagiarisme. Plagiarisme adalah tindakan meniru dan mengutip bahkan menyalin atau mengakui hasil karya orang lain sebagai hasil karya dirinya sendiri. Penelitian ini bertujuan untuk mengembangkan sistem yang mendeteksi kesamaan antar dokumen teks berbahasa Indonesia dengan membandingkan dua metode pembobotan teks. Algoritma Winnowing dan TF-IDF adalah metode pembobotan teks yang dikombinasikan dengan metode Cosine Similarity. Cosine Similarity merupakan algoritma yang berfungsi untuk mencari nilai kesamaan antar dokumen dari hasil pembobotan algoritma winnowing dan TF-IDF. Hasil penelitian menunjukkan bahwa algoritma Winnowing memiliki nilai kesamaan rata-rata 66%, lebih tinggi dibandingkan TF-IDF yang hanya memiliki rata-rata 57%. Performa algoritma diukur menggunakan akurasi dan RMSE. Nilai akurasi pada algoritma Winnowing adalah 90.47% dan algoritma TF-IDF 81.84%. Nilai RMSE pada algoritma Winnowing sebesar 5,44 dan TF-IDF sebesar 5,34.Kata kunci : Winnowing, TF-IDF, Cosine Similarity.The final project at a higher education institution is a graduation requirement to obtain a bachelor's or associate degree. The strong desire of students to graduate quickly sometimes leads them to commit plagiarism. Plagiarism is the act of imitating, quoting, or even copying or acknowledging someone else's work as their own. This research aims to develop a system that detects similarities between Indonesian text documents by comparing two text weighting methods. The Winnowing and TF-IDF algorithms are text weighting methods combined with the cosine similarity method. Cosine similarity is an algorithm used to find the similarity value between documents based on the weighting results of the Winnowing and TF-IDF algorithms. The results of the study showed that the Winnowing algorithm had an average similarity value of 66%, higher than TF-IDF which only had an average of 57%. The performance of the algorithm uses measurements and RMSE. The algorithm's performance was measured using accuracy and RMSE. The accuracy value of the winnowing algorithm is 90.47% and the TF-IDF algorithm is 81.84%. The RMSE value of the Winnowing algorithm is 5.44 and TF-IDF is 5.34.Keywords: Winnowing, TF-IDF, Cosine Similarity. 
Co-Authors Abdul Rohman Supriyono Abdul Rohman Supriyono Agus Susanto Agus Susanto Ali Sofyan Amir Hamzah Andesita Prihantara Annisa Romadloni Ari Kristiningsih Arif Wirawan Muhammad Ayu Pramita Catur Supriyanto Dairoh Dairoh Dairoh Dairoh, Dairoh Dany Artha Widiyanto Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Diantono Abda’u, Prih Dodi Satriawan Dwi Wahyu Susanti Dyah Apriliani Dyah Apriliani Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Eka Tripustikasari Erna Alimudin Evila Purwanti Sri Rahayu, Theresia Fadillah Fadillah Fadlilah, Ilma Faulin, Muhammad Husni Ganjar Ndaru Ikhtiagung Ginanjar Wiro Sasmito, Ginanjar Wiro Hety Dwi Astuti Ida Afriliana Ika Dewi Rozaurrohmah Iyat Ratna Komala Johanna, Anne Karyati, Titin Khoeruddin Wittriansyah Laura Sari Lina Puspitasari Linda Perdana Wanti Linda Perdana Wanti Linda Perdana Wanti Lutfi Syafirullah Maharrani, Ratih Hafsarah Mohammad Khambali, Mohammad Muchamad Sobri Sungkar, Muchamad Sobri Muhammad Nur Faiz Musyafa Al Farizi Nur Faiz, Muhammad Nur Wachid Adi Prasetya Nurlinda Ayu Triwuri Oto Prasadi Perdana Wanti, Linda Prih Diantono Abda`u Ratih Hafsarah Maharrani Ratih Hafsarah Maharrani Ratih Hafsarah Maharrani Riyadi Purwanto Riyanto Riyanto Rohayah, Siti Santi Purwaningrum Santi Purwaningrum Sari, Laura Sasmito, Ginanjar Wiro Sena Wijayanto Taufiq Abidin Taufiq Abidin Taufiq Abidin, Taufiq Teguh Prihandoyo Titin Kartiyani Wanti, Linda Perdana Wildani Eko Nugroho Wildani Eko Nugroho, Wildani Eko Wiyono, Slamet Yeni Priatna Sari, Yeni Priatna